BIDA0026 – Ralph Kimballs Demo Databases – Shipments

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Please watch the video in 1080p because it is recorded in High Resolution.
Please note the script of the presentation is below so you can read along with the demonstration if you like.

Hello and welcome to our latest blog post.

Firstly, I’d like to say thank you very much for coming along and watching our latest video today.

I really appreciate your time and attention, so thank you very much for that.

Today, we are releasing the next video in the series on the demonstration databases Ralph Kimball released in his book.

Of course, to be fair to Ralph, on each post we will put a button you can click to buy his book.

In this blog post we are going to give you a demonstration of the Shipments database.

We would suggest you get an evaluation copy of Meta5, and query Ralphs databases as you read his excellent book.

We would also recommend you watch the first and second videos in this series.

Now.

Here we go!

We welcome you to the video demonstration of the Shipments sample database from Ralphs excellent book.

We hope you like it!

Now!

This concludes our demonstration of the Shipments database from Ralph Kimballs book.

You can download all these databases, and the Meta5 folder, to be able to query the databases, from the button below.

We sincerely hope you will learn more about dimensional modeling, using the databases and software, Ralph Kimball played such a large part in bringing to the world.

We hope you liked this short demonstration video.

If you did like it, please hit the like button and please subscribe, so that you will receive notifications when we release more videos.

If you are on our web site, please feel free to subscribe to our newsletter, to be notified when we release new blog posts.

Thank you very much for coming by our channel and watching our video, we really appreciate you.

I really appreciate your time and attention.

I wish you a good day!

Until the next blog post.

Goodbye for now.

We will be emailing our subscribers useful and
valuable information regarding business intelligence.
Please subscribe here to be on our general emailing list.

BIDA0025 – Ralph Kimballs Demo Databases – Insurance

0

Please watch the video in 1080p because it is recorded in High Resolution.
Please note the script of the presentation is below so you can read along with the demonstration if you like.

Hello and welcome to our latest blog post.

Firstly, I’d like to say thank you very much for coming along and watching our latest video today.

I really appreciate your time and attention, so thank you very much for that.

Today, we are releasing the next video in the series on the demonstration databases Ralph Kimball released in his book.

Of course, to be fair to Ralph, on each post we will put a button you can click to buy his book.

In this blog post we are going to give you a demonstration of the Insurance database.

We would suggest you get an evaluation copy of Meta5, and query Ralphs databases as you read his excellent book.

We would also recommend you watch the first and second videos in this series.

Now.

Here we go!

We welcome you to the video demonstration of the Insurance sample database from Ralphs excellent book.

We hope you like it!

Ok?

This concludes our demonstration of the Insurance database from Ralph Kimballs book.

You can download all these databases, and the Meta5 folder, to be able to query the databases, from the button below.

We sincerely hope you will learn more about dimensional modeling, using the databases and software, Ralph Kimball played such a large part in bringing to the world.

We hope you liked this short demonstration video.

If you did like it, please hit the like button and please subscribe, so that you will receive notifications when we release more videos.

If you are on our web site, please feel free to subscribe to our newsletter, to be notified when we release new blog posts.

Thank you very much for coming by our channel and watching our video, we really appreciate you.

I really appreciate your time and attention.

I wish you a good day!

Until the next blog post.

Goodbye for now.

We will be emailing our subscribers useful and
valuable information regarding business intelligence.
Please subscribe here to be on our general emailing list.

BIDA0024 – Ralph Kimballs Demo Databases – Grocery

0

Please watch the video in 1080p because it is recorded in High Resolution.
Please note the script of the presentation is below so you can read along with the demonstration if you like.

Hello and welcome to our latest blog post.

Firstly, I’d like to say thank you very much for coming along and watching our latest video today.

I really appreciate your time and attention, so thank you very much for that.

Today, we are releasing the next video in the series on the demonstration databases Ralph Kimball released in his book.

Of course, to be fair to Ralph, on each post we will put a button you can click to buy his book.

In this blog post we are going to give you a demonstration of the Grocery database.

We would suggest you get an evaluation copy of Meta5, and query Ralphs databases as you read his excellent book.

We would also recommend you watch the first and second videos in this series.

Now.

Here we go!

We welcome you to the video demonstration of the Grocery sample database from Ralphs excellent book.

We hope you like it!

Ok?

This concludes our demonstration of the Grocery database from Ralph Kimballs book.

You can download all these databases, and the Meta5 folder, to be able to query the databases, from the button below.

We sincerely hope you will learn more about dimensional modeling, using the databases and software, Ralph Kimball played such a large part in bringing to the world.

We hope you liked this short demonstration video.

If you did like it, please hit the like button and please subscribe, so that you will receive notifications when we release more videos.

If you are on our web site, please feel free to subscribe to our newsletter, to be notified when we release new blog posts.

Thank you very much for coming by our channel and watching our video, we really appreciate you.

I really appreciate your time and attention.

I wish you a good day!

Until the next blog post.

Goodbye for now.

We will be emailing our subscribers useful and
valuable information regarding business intelligence.
Please subscribe here to be on our general emailing list.

BIDA0023 – Ralph Kimballs Demo Databases – Factless Fact Tables

0

Please watch the video in 1080p because it is recorded in High Resolution.
Please note the script of the presentation is below so you can read along with the demonstration if you like.

Hello and welcome to our latest blog post.

Firstly, I’d like to say thank you very much for coming along and watching our latest video today.

I really appreciate your time and attention, so thank you very much for that.

Today, we are releasing the fourth video in the series on the demonstration databases Ralph Kimball released in his book.

Of course, to be fair to Ralph, on each post we will put a button you can click to buy his book.

In this fourth post we are going to give you a demonstration of the Factless Fact Table database.

We would suggest you get an evaluation copy of Meta5, and query Ralphs databases as you read his excellent book.

We would also recommend you watch the first and second videos in this series.

Now.

Here we go!

We welcome you to the video demonstration of the Factless Fact Table sample database from Ralphs excellent book.

We hope you like it!

Ok?

This concludes our demonstration of the Factless Fact Table database from Ralph Kimballs book.

You can download all these databases, and the Meta5 folder, to be able to query the databases, from the button below.

We sincerely hope you will learn more about dimensional modeling, using the databases and software, Ralph Kimball played such a large part in bringing to the world.

We hope you liked this short demonstration video.

If you did like it, please hit the like button and please subscribe, so that you will receive notifications when we release more videos.

If you are on our web site, please feel free to subscribe to our newsletter, to be notified when we release new blog posts.

Thank you very much for coming by our channel and watching our video, we really appreciate you.

I really appreciate your time and attention.

I wish you a good day!

Until the next blog post.

Goodbye for now.

We will be emailing our subscribers useful and
valuable information regarding business intelligence.
Please subscribe here to be on our general emailing list.

BIDA0022 – Ralph Kimballs Demo Databases – Credit Card

0

Please watch the video in 1080p because it is recorded in High Resolution.
Please note the script of the presentation is below so you can read along with the demonstration if you like.

Hello and welcome to our latest blog post.

Firstly, I’d like to say thank you very much for coming along and watching our latest video today.

I really appreciate your time and attention, so thank you very much for that.

Today, we are releasing the third video in the series on the demonstration databases Ralph Kimball released in his book.

Of course, to be fair to Ralph, on each post we will put a button you can click to buy his book.

In this third post we are going to give you a demonstration of the Credit Card database.

This is a very simple example database.

We would suggest you get an evaluation copy of Meta5, and query Ralphs databases as you read his excellent book.

We would also recommend you watch the first and second videos in this series.

Now.

Here we go!

We welcome you to the video demonstration of the Credit Card sample database from Ralphs excellent book.

We hope you like it!

Ok?

This concludes our demonstration of the Credit Card database from Ralph Kimballs book.

You can download all these databases, and the Meta5 folder, to be able to query the databases, from the button below.

We sincerely hope you will learn more about dimensional modeling, using the databases and software, Ralph Kimball played such a large part in bringing to the world.

We hope you liked this short demonstration video.

If you did like it, please hit the like button and please subscribe, so that you will receive notifications when we release more videos.

If you are on our web site, please feel free to subscribe to our newsletter, to be notified when we release new blog posts.

Thank you very much for coming by our channel and watching our video, we really appreciate you.

I really appreciate your time and attention.

I wish you a good day!

Until the next blog post.

Goodbye for now.

We will be emailing our subscribers useful and
valuable information regarding business intelligence.
Please subscribe here to be on our general emailing list.

BIDA0021 – Ralph Kimballs Demo Databases – Cable TV

0

Please watch the video in 1080p because it is recorded in High Resolution.
Please note the script of the presentation is below so you can read along with the demonstration if you like.

Hello and welcome to our latest blog post.

Firstly, I’d like to say thank you very much for coming along and watching our latest video today.

I really appreciate your time and attention, so thank you very much for that.

Today, we are releasing the third video in the series on the demonstration databases Ralph Kimball released in his book.

Of course, to be fair to Ralph, on each post we will put a button you can click to buy his book.

In this third post we are going to give you a demonstration of the Credit Card database.

This is a very simple example database.

We would suggest you get an evaluation copy of Meta5, and query Ralphs databases as you read his excellent book.

We would also recommend you watch the first and second videos in this series.

Now.

Here we go!

We welcome you to the video demonstration of the Credit Card sample database from Ralphs excellent book.

We hope you like it!

Ok?

This concludes our demonstration of the Credit Card database from Ralph Kimballs book.

You can download all these databases, and the Meta5 folder, to be able to query the databases, from the button below.

We sincerely hope you will learn more about dimensional modeling, using the databases and software, Ralph Kimball played such a large part in bringing to the world.

We hope you liked this short demonstration video.

If you did like it, please hit the like button and please subscribe, so that you will receive notifications when we release more videos.

If you are on our web site, please feel free to subscribe to our newsletter, to be notified when we release new blog posts.

Thank you very much for coming by our channel and watching our video, we really appreciate you.

I really appreciate your time and attention.

I wish you a good day!

Until the next blog post.

Goodbye for now.

We will be emailing our subscribers useful and
valuable information regarding business intelligence.
Please subscribe here to be on our general emailing list.

BIDA0020 – Introducing Ralph Kimballs Demo Databases – Banking

0

Please watch the video in 1080p because it is recorded in High Resolution.
Please note the script of the presentation is below so you can read along with the demonstration if you like.

Hello and welcome to our latest blog post.

Firstly, I’d like to say thank you very much for coming along and watching our latest video today.

I really appreciate your time and attention, so thank you very much for that.

Today, we are launching a series of blog posts that showcase the dimensional databases that Ralph Kimball released in his now famous book.

The Data Warehousing Toolkit.

Of course, to be fair to Ralph, you can click the button below and purchase a copy of his book.

Even though Ralph is retired now, I am sure he would appreciate another sale of his book to add a few dollars to his retirement fund.

The Data Warehousing Toolkit remains the master work of dimensional modeling.

You really should have your own copy if you intend to build or query dimensional models.

Now that we have the advertisement done for Ralphs book, please allow me to explain what we have done.

We received a copy of Ralphs databases in SQL Server 2016 backup format.

We put them on to our demo server.

We created the ODBC Connections needed to link the Meta5 DBA tool to each of the databases.

We added the workstation tools data dictionary to each of the databases.

We then created all the entries needed in the workstation tools data dictionaries, using the DBA Tool, to be able to query these databases using the Meta5 query tool and reporter tool.

Now you can download an evaluation copy of Meta5 and you can go through Ralphs book and you can query the databases using his software Meta 5.

It’s kind of like a trip down the memory lane of Business Intelligence.

Why?

Because Ralph was a co-founder of the company that created Meta 5 way back in 1982.

It seems somehow poetic that, here we are, 40 years later, presenting his data models using his software.

Now.

Given there are 12 databases, we are going to create 12 blog posts.

One for each database.

And we are going to go into the database in a little bit of detail for each database.

Then, you can go to the blog post for the database you are interested in, and watch the video or read the blog post.

We are doing all these videos with voice generation so that you can watch and listen or read the blog post.

It also helps with google to have the text of the voice over on the blog post.

So here we go!

The first database is banking.

And we will show you that one first.

Firstly, you restore all the databases to SQL Server.

You will be seeing a screen with the databases being displayed in SQL server management studio now.

Then you create all the ODBC connections using 32 bit ODBC.

You will see the list of ODBC connections that we created on your screen now.

Then you restore the Meta5 folder to your Meta5 desktop.

You will see the demonstration desktop on your screen now.

So now we will open the folder, 13 Ralph Kimballs Databases.

You can see that the databases are numbered in a strange fashion.

These are the numbers of the databases on one of our development machines.

It was to keep the databases in order on that machine, so you can ignore the strange numbering.

You can see the folders range from, oh three, Bank oh one database, all the way up to, Twenty, Warehouse.

You can find each of these databases demonstrated on a different blog post on our site.

So now we are going to open up the folder, oh three, Bank oh one database.

Inside you can see a capsule called, oh one, data query icons.

We will open up this capsule.

Inside this capsule you can see the following.

There are four query icons, four reporter icons, and eight spreadsheets, that will receive data from the query icons and the reporter icons.

There is also a capsule run log and a DBA tool.

Each capsule you open will be similar.

There will be query and reporter tools for each category.

There will be spreadsheets to collect the data.

And there will be a DBA Tool that demonstrates the database itself.

Now.

Let us option the DBA tool.

We will click on other data.

In the field gateway you can see ODBC.

This tells you that we are asking the DBA tool to call ODBC in the supporting operating system.

You can see the database name is, Z, BANK oh one, underscore, M, 5, A..

This is the name of the ODBC connection for the DBA tool.

Now.

We will close the icon options for the DBA tool.

Now.

Let us open the DBA tool to show you what the data model looks like in the banking database.

We can see that there are four categories.

Each category will have one fact table in it.

This is not a general rule.

A category can have more than one fact table in it.

But in general, for simple data models, you will build one category per one fact table.

There are rules to follow when you want many fact tables in the one category.

The sample databases do not follow those rules.

And this is why we have one category per fact table.

You can see that the names of the categories are as follows.

Custom Checking.

Custom Mortgage.

House hold demographics.

House hold facts.

Now we can click on the custom checking category to select it.

And we click on the show joins button to show the data model diagram for the category.

And now you can see the tables in the category.

You can see the relationships between the tables.

You can see that the names of the tables have been altered to have a more meaningful print name than the underlying table name.

The dimension tables have been prefixed with the letter, D.

The fact table has been prefixed with the letter, F.

The category name is derived from the name of the fact table.

In the diagram on the screen you can see that the fact table is called, custom checking.

You can see that the dimension tables are named as follows.

Month.

Account.

Product.

Branch.

House hold.

Status.

You can read the column names on the screen.

The column names can be edited in the DBA tool and given user friendly names.

You can also put help text in to the DBA tool.

This information is stored in the workstation tools data dictionary.

So, if you would like to press pause, and read the diagram in more detail, please feel free to do so now.

Next we will move on to the custom mortgage model.

We will close the custom checking model and open the custom mortgage model.

You can see from the model that the dimension tables are the same.

Only the fact table has changed.

And this is how these models work.

You have conformed dimensions, with different fact tables being linked to those dimensions.

So, I will give you the chance to press pause, to read the custom mortgage fact table, to see what it contains.

Now.

We will close the custom mortgage model and open the house hold demographics model.

In this model you will notice there are some different dimension tables.

They are as follows.

Product.

House Hold.

Demographics.

You can see that the house hold demographics fact table contains just a few fact fields.

I will give you a chance to press pause to read this data model.

Now.

We will close the house hold demographics model and open the house hold facts model.

You can see that the fact table is now the house hold facts table.

You can see the joins that are defined in the data model.

So, for each category, you can easily open the category, and see what the data model looks like, because these are very simple models.

You can download much more complex data model pictures for our Navision B I Solution from our web site.

Now.

We are going to show you the all tables category just so you can see that this category contains all the tables accessible by this workstation tools data dictionary.

When we open the all tables category we can list the tables that are in the category.

You can also select a table to list the columns.

And you can select a column to edit the information stored about columns.

For example you can define a column to be a key for the table or not.

It is possible to click, show joins, for the all tables category.

We will do that now.

However, as you can see. This is not so useful as the diagram is a bit too complicated to read.

There are too many lines on the diagram.

When you have very complex models, trying to show all joins between them is far too much to put on one diagram.

Now, we will go to the query tools, and you can see how they work for the banking model.

We will open up the query icon, oh one, custom checking.

You can see that it has a query already created in it.

All the query icons provided to you have a simple query already created in them.

In this case you can see the columns are as follows.

Year.

Product description.

Status description.

Transaction count.

Now.

We will click on, show data.

You see there are 30 rows returned.

Now.

We will click on, show controls.

You can see a simple portion of the data model in the window.

Only those tables where fields are in the output query are shown in this window in the query tool.

Now.

We will click on, show query catalog.

You can see that all the tables in the category are visible.

We can select any field inside the category and place it in the query output.

There are more detailed lessons on how to create queries available on our web site.

Now.

We will close the query catalog window.

Now.

We will close the query control window.

Now.

We will select capture SQL, and we will run the query, and show you the SQL captured, when the query runs.

You are welcome to pause the video, and read the captured SQL, in some detail.

It is quite obvious, how the query tool has translated the graphic query in to SQL, to be run against the database.

The query icon and the reporter icon can talk to any ODBC connection.

There are also native gateways to many major databases.

These gateways provide higher performance, as well as some extra functionality.

Now.

You have seen the query icon for custom checking.

I will now show you the reporter icon for custom checking.

You will see some differences.

So, I will open the reporter icon for custom checking.

The first thing you will notice, is that the data is presented as a cross tab table, rather than in rows.

You have the years and transaction counts as heading columns.

You have the product description as the row heading.

For people who like excel, the reporter tool is closer to what they are used to, in terms of presenting data.

Where you see the letters, N, A, that means no data exists for that intersection of the heading and row columns.

Now.

We will click on, show set up.

We see that the interface to query the data is quite different.

In general, people who use the query tool, need to have some understanding of tables, queries and SQL.

With the reporter tool, a person can be a complete novice, as far as tables and SQL are concerned.

The user can simply copy fields, from the dimension index, to column headings or row headings as desired.

The user can copy fields, from the facts index, in to the column headings as desired.

No knowledge of tables or SQL is needed.

It is possible to create quite complex financial reports using the reporter tool.

Now.

We will click on, capture SQL, and then click on, get new data.

You will notice that it performed a select for the product description.

You will notice that it performed a select for the year.

You will notice it then performed the select to get the data.

You will notice that there is no sum, or group by, in the select statement, to select the data.

The reporter tool was designed to access Ralph Kimballs multi level databases, so that the data returned was already close to the aggregation levels required.

You can query the data models through the reporter tool, to see how that works.

Now.

We will close the windows and go back to the capsule with the data access icons in it.

Now, you have seen the examples for the banking models.

Most of the rest of the queries are very similar.

There is little point commenting about them along the way.

So we will play a little music as we go through the demonstration of each of the query tools and reporter tools.

Ok?

This concludes our demonstration of the banking database from Ralph Kimballs book.

As we said at the top of this video.

We would encourage you to buy a copy of his book, to have as your own reference in your career, whether that be as a data modeler, or a person who queries these databases.

You can download all these databases, and the Meta5 folder, to be able to query the databases, from the button below.

We sincerely hope you will download these databases, and the Meta5 evaluation edition.

We sincerely hope you will learn more about dimensional modeling, using the databases and software, Ralph Kimball played such a large part in bringing to the world.

Now you can log off your Meta5 desktop.

Meta5.

The better way.

We hope you liked this short demonstration video.

If you did like it, please hit the like button and please subscribe so that you will receive notifications when we release more videos.

Thank you very much for coming by our channel and watching our video, we really appreciate you.

I really appreciate your time and attention.

I wish you a good day!

Until the next blog post.

Goodbye for now.

We will be emailing our subscribers useful and
valuable information regarding business intelligence.
Please subscribe here to be on our general emailing list.

HD0012 – How Do I Re-Create The Demographics Dashboard – 05

0

Please watch the video in 1080p because it is recorded in High Resolution.
Please note the script of the presentation is below so you can read along with the demonstration if you like.

Hello and welcome back to the next exciting installment of our Meta5 training videos.

This will be our final training video in this series.

So, you have almost made it to the end now!

I am very pleased to see you come back to watch the next portion of our video training.

I want to say thank you very much for evaluating Meta5.

I want to say thank you very much for your time and attention.

Thank you.

In this video, there is not going to be a lot of dialog, because the creation of these next six dashboards is very easy, by comparison to the prior training we have presented.

You can very easily follow along with what is done in this video, even with only basic excel skills.

We have included this video, more for completeness, than for showing you anything particularly different from what you would find on any other training, for creating Excel Dashboards.

We already created this video for our internal training, so it seems sensible to include it in our public training.

Please note.

In this video, we are not going to use the pan and zoom at all, because the vast majority of the video is editing Excel dashboards.

This requires that the options panel, on the right of the screen, be visible for much of the video.

In this video you are going to build the drill down dashboards, and the drill down pivot tables, to give the user more information about the demographics analysis, of the product categories, over time.

These examples of drill down, inside excel, demonstrate how to create an excel dashboard with quite reasonable drill down capability.

Remember, as a user of Meta5, you would have access back to the underlying data warehouse, and all the detailed data that is in the data warehouse.

So, as a user of Meta5, you could go from the dashboard, all the way down to the detailed transactions, if you would like.

However, in the vast majority of cases, for business consumers of dashboards, it is enough to have a small subset of data inside the excel workbook, to be able to query, and analyze.

This is what you generally see in Business Intelligence .

The Business Intelligence tool tries to meet all the needs, of all the business users, via the one tool.

However, the needs of business users are quite diverse.

If business users are required to all use the same tool in the same company, the differences in needs means the tool must have features that many business users do not use.

This means those features must be paid for, even if they are not used.

Excel is already very widely used in businesses.

Every sizable business has business users who are proficient in Excel.

There are also thousands of Excel tutorials on you tube.

We are not suggesting that Excel is the one, and only, tool business users need, for Business Intelligence.

What we are suggesting is this.

Excel is already widely deployed, and is already a very useful Business Intelligence tool.

We are just suggesting adding Meta5 to the mix of tools.

Why?

Because, one of the biggest problems with using excel for dashboards and reporting, is getting the data in to the workbook, in the first place.

We are suggesting, that by using Meta5, to put data into the excel workbook, you will save time, and money, when building excel reports and dashboards.

As you evaluate Meta5 in this training, please remember this.

It only costs one dollar a day to have Meta5, so you can more easily build excel dashboards.

For just one dollar a day, you can use Meta5 to get data from anywhere, and put it in to Excel.

You can distribute those excel dashboards to your colleagues with no Meta5 costs.

For two dollars a day?

You get more meta5 disk space, and you get the feature of running reports, in batch, while you are not even at your PC.

Just to be clear.

You can develop capsules on the one dollar a day Meta5 desktop, and then deploy them to the two dollar a day Meta5 desktop.

Of course, you could also have 2 or 3 of the two dollar a day desktops.

These could be used, by different departments, to run Excel reporting, after ETL processing.

Of course, there is an Enterprise Edition, for those companies, who want 5 or more desktops.

We would expect some companies, to upgrade to the Enterprise Edition, to gain the extra value it offers.

Now that we have done our little bit of advertising in this final video.

On with the training!

In the prior video, you saw how to create the six charts you see on the dashboard in this video.

The dashboard you are working on, should look exactly like the dashboard in the video.

In this video, you are going to build 6 more dashboards .

They will be called, dashboard 11, through to, dashboard 16 .

You should have the example Excel dashboard, to work from, on your desktop.

You can use that example Excel dashboard, to compare what you are doing, precisely, in your Excel dashboard.

Now, the first thing you are going to do, is copy the dashboard called, dashboard oh one, 6 times.

You will rename the copies as, dashboard 11, through to, dashboard 16.

By copying dashboard oh one, you will copy all the graphics, you will copy the slicers, and you will copy the charts.

This will save you a great deal of time, in creating the next six dashboards.

Now, go to dashboard 11.

You should follow along closely with the video.

Please make exactly the same changes on your dashboard, as you see on the video.

Now, you have completed the two charts at the top of dashboard 11.

You saw that was very easy.

Now, you will create the three pivot tables.

Please follow along with the video, to create the first pivot table, on your dashboard 11 worksheet.

Now, to create the second two pivot tables, you will copy the first pivot table, and make changes .

In each of the six dashboards, you will have to create the first pivot table, and then copy it for the second, and third, pivot tables.

After you have created all three pivot tables, then you should set the drills as you would like them to appear when the business user opens the spreadsheet .

Because we will remove the background grid in Excel, we also want to put a border around each pivot table .

Now .

Because we have added pivot tables on to the worksheet, we will go and show you the year slicer .

You can see in the video, that there are three new names, in the report connections, for the year slicer.

In the end, you will have 18 new report connections to make between the slices, and all these pivot tables.

You will make these connections, at the end of creating the six dashboards .

Please notice, the charts have become a little wider.

This is because some of the columns, in the pivot tables, have become a little wider .

We will also make columns, eye, and queue, narrower on each workbook, to bring the pivot tables closer together.

Now, you have completed dashboard eleven.

The dashboard eleven you have on your desktop, should look identical to the dashboard 11 on the video.

Now, we will go through on the video, and show you exactly what you must do, to create the next five dashboards.

Please follow along very carefully with what you see on the video.

Here we go.

Now you should have all six new dashboards created, and you should be able to drill in to the pivot tables.

The next piece you are going to implement, is the drill down mechanism, from dashboard oh one, to the six lower level dashboards .

You will also implement the drill up mechanism .

Please note, the three dots, which are used as the picture, is just a small JPEG .

It is used to hyperlink between dashboard oh one, and the six lower level dashboards.

You can copy the three dots from the example worksheet .

You could also use any other small JPEG you would like.

For example, you could use a small arrow.

The red arrow, that is used to drill back up to the high level dashboard, is also just a small picture, created in PowerPoint.

You can also copy that red arrow from the sample workbook.

You could also use another small picture, such as a home icon .

How you design your navigation for drill up, and drill down, is really up to you.

So, here you go.

You will now implement the drill down, and drill up, as demonstrated in the video.

Please follow along on your desktop, and make every change we demonstrate, to your copy of your dashboard.

Please note that we made a small error.

The BIDA logo should be hard into the top left corner .

So, you will see us correct this error on the video .

OK. Now you have completed implementing the drill down, and drill up.

Now, you must come back to the slicers.

When you created the 18 pivot tables, on the six child dashboards, you did not connect them to the slicers.

Now, you must connect each of the three slicers, to each of the 18 pivot tables .

Now, please follow along with the video and do that in your workbook.

You will see on the video, that you only need to connect the slicers, on the high level dashboard oh one.

All the other slicers, on all the other dashboards, should inherit the new connections.

Now, we will do a little bit of final formatting .

You can follow along on the video.

Next you should remove the headings, and gridlines, to make the dashboards look nicer .

The next thing you want to do, to make sure the dashboard looks good, when delivered to users, is to hide all the worksheets that the user does not need to see .

So, now you will hide all the extra worksheets .

Please follow along closely with the video.

Now, This is your finished template dashboard .

Hooray .

The last little piece we need to do, is to send the template spreadsheet, into the eye Excel icon , send a dummy spreadsheet into the eye Excel icon, and then send the final spreadsheet to the PC directory.

So please follow along closely, with the demonstration on the video.

You want to get your capsule, on your desktop, to run the same way.

This last portion of the capsule will make the capsule re runnable.

It can be run on command, or as part of a daily batch stream .

For example, it may be desirable to run such capsules once per day, after the ETL processing.

In this way, the Excel dashboards, that are created by these capsules, would contain the latest data, from the ETL processing.

This is how Excel dashboards could be refreshed every day .

Please note.

You can only run capsules in batch streams on the two dollar a day Meta5 version.

You could have two or three desktops, spread across different departments, that run the daily Excel dashboards for each department, after the ETL finishes.

In this way, single user versions of Meta5 could be deployed in different departments, and each department could operate independently of each other.

Of course, when there were more than 5 copies of Professional Edition being used in one company, you would then consider upgrading to the Enterprise Edition, for the extra value it offers.

Please note .

To allow many capsules, to run at the same time in production, you should prefix the word, final, for the spreadsheet name, with the specific report name.

During the execution of the capsule, meta five will create a temporary copy of this spreadsheet, on the windows file system .

So, you need to be careful, to not create any conflicts, with spreadsheet names, in the temporary directory.

Now, we see that the data spreadsheet, in the working directory, is a couple of days old.

So we will rerun the placement, of the data spreadsheet, in the working directory .

Now, in the eye Excel icon, you need to option it, and go into show controls .

Now, you need to go down, to the input cell, for advanced commands.

In the advanced commands cell, you must place the following command.

Minus sign, followed by the letters, r, a, d.

This command tells Excel to refresh all data connections, to refresh all pivot tables, and to refresh all charts inside the Excel spreadsheet.

By doing this, the final Excel spreadsheet, that will be delivered to the PC directory, will be up to date.

The user will open up the updated spreadsheet, and will not need to refresh any data to see the charts.

On the first slicer click, the spreadsheet will load the power pivot model, into the memory of the PC.

If the dashboard is being viewed, in the web window of Office 365, then the first slicer click seems to be much faster.

Now, we will go out to the PC directory, and we will open up the dashboard, from the PC directory.

We will do a small demonstration of the dashboard in the PC directory.

This is just to prove that it has been properly placed in to the PC directory.

And that, ladies, and gentlemen, is your first Excel, slicer based, demographics, dashboard.

If you have followed along in detail, and you have been able to get your dashboard, to act exactly the same as the dashboard in the video, then I want to wish you, congratulations.

Congratulations !

Well done !

This concludes this training series, on how to create the demographics dashboard, we have released as a set of videos.

This set of design principles, to build Excel dashboards, will work with just about any data.

What you have seen, is the ability to gather data, from almost anywhere, and send it into the Excel power pivot model.

Once the data is placed into the power pivot model, all the functionality of Excel can be used.

You should consider meta 5, as a tool, that will collect data, from anywhere you want, in a repeatable, and parameterized fashion .

Then meta five can send that data into Excel, and refresh all the charts and tables in Excel, all ready for a user to use .

You should consider Meta 5 to simply be a better way of building Excel dashboards .

Of course, Meta5 does much more than that.

However, we want you to focus on the decision to acquire Meta5, to be the decision to spend one dollar a day, on making it easier, to get data in to your excel workbooks.

And, we want you to focus on the upgrade to 2 dollars a day, to get more disk space, and to run the capsules in batch, while you are not even at your PC.

We want you to know that you can develop capsules on the one dollar a day meta5, and deploy them to run in the daily batch, on the two dollar a day meta5.

We want you to know, that once you have 5 or more professional desktops running capsules, it might be about time to consider the upgrade to the Enterprise Edition.

Meta5 is Enterprise level software, that can scale out, much further than any company in Romania would ever need.

Now I would like to say thank you very much for your time and attention.

We really appreciate that you have taken the time to investigate how to build Excel dashboards using meta 5 .

We hope we have been able to teach you something new and valuable.

If you like what you saw in this demonstration, and evaluation, you can get started today with meta 5 with the single user starter edition.

You can buy the licenses for starter edition, and professional edition, directly from meta 5, on their website .

The full set of manuals, is also downloadable, from their website.

If you have any questions about Meta 5, that you would like answered, before you buy your license, we would be very pleased to answer your questions.

You will find our contact information, right here, on this blog post.

As I said at the beginning, this has been a major publication effort for us.

We have taken the internal training we use for our own staff, and we have made a public version, to teach you almost exactly what we teach our own staff.

Given the amount of effort we have put in to present this video training to you?

I really hope you liked it.

Laugh Out Loud!

Now, in finishing this epic video training.

I would like to say thank you.

Thank you very much for listening.

I really appreciate your time and your attention.

Thank you.

I wish you a good day.

We will be emailing our subscribers useful and
valuable information regarding business intelligence.
Please subscribe here to be on our general emailing list.

HD0012 – How Do I Re-Create The Demographics Dashboard – 04

0

Please watch the video in 1080p because it is recorded in High Resolution.
Please note the script of the presentation is below so you can read along with the demonstration if you like.

Hello and welcome back to the next exciting installment of our Meta5 training videos.

I am very pleased to see you come back to watch the next portion of our video training.

I want to say thank you very much for evaluating Meta5.

I want to say thank you very much for your time and attention.

Thank you.

In the prior videos, you completed all the tasks necessary to prepare data, so that you can now create the actual dashboards you want to create in Excel.

In the following videos, you will finally be creating the dashboards.

Everything we have done so far, was to prepare the data for the dashboards .

It might have come as something of a surprise to you, that it takes so much effort, to prepare data, to be ready to present that data, on an Excel dashboard .

When you watch videos about the creation of Excel dashboards, the video generally starts with a statement similar to this.

Now that you have the data you need in Excel, you can build your dashboard.

Few people like to talk about how much time and effort it takes to get data into Excel, and prepare the formulas needed, and prepare the data series needed, to be able to create the charts.

We know how much time and effort that takes.

We are presenting you with Meta5, because we know Meta5 reduces that time and effort.

We have direct experience with meta5 doing this.

So, with that introduction complete.

We are on to the next step of the training.

Now, you need to create a new worksheet .

You will call it dashboard oh one .

You must make the height of row, 1, to be 6 units .

You must make the height of row , 2, to be 33 units.

You must set the width of column, A, to be, 20 units.

You should copy the BIDA logo, and the tick mark, from the existing demonstration spreadsheet, that you have on your desktop.

You must set the fill colors, for columns, C, 2, and, E, 2, as you see, on the video .

A shade of green is being used for revenue, and a shade of blue is being used for units .

You need to copy in the tick mark.

The heading will go from column, H, to, column, U .

Make the height of row 4, to be, 5 units.

You are going to have three slicers.

There will be a slicer for years.

There will be a slicer for months .

There will be a slicer for product category .

You will create a custom slicer formatting, for the slicers in this workbook .

This is to teach you how to create custom slicer formatting .

You must make sure you connect all slicers, to all pivot tables, in this dashboard.

Notice that the months are properly sorted, because we set the sort column in power pivot, to be by month in year .

OK.

You have completed the three slicers .

Now you shall start inserting the charts.

When you come to select data source, this is where you should use the names, from the name manager, we have provided for you, on the blog post .

It is just a little bit quicker, and easier, than typing in the worksheet name, putting in an exclamation mark, and pressing F 3 .

However, in the video, you will see me type the worksheet name manually .

Now, you have completed your first chart.

Now, click on the multi select for year, and then click on a year.

Your chart should respond to the slicer click .

One more thing you need to do.

You should round the corners of the chart, and put a border around the chart .

Congratulations!

You have completed your first chart.

Creating charts is very easy when you have done the preparation work properly.

Now, you are going to do five more of these charts.

I would take this opportunity to remind you, that you should regularly save your work, by saving the spreadsheet, and closing Excel.

Meta five only saves the spreadsheet, in the meta 5 file system, when you close Excel, not when you press save in Excel .

And laugh out loud, you can guess how much work I lost to find that out .

So please save your work, exit Excel, and reopen the spreadsheet, regularly.

Now, we are going to place the next 5 charts on the dashboard.

So please follow along exactly as you see in the video.

We will not do commentary on the creation of these charts, because it is clear how to create them from the video.

Now, you have the six charts on your dashboard, as they appear in the video.

We will do a little formatting on the video, just to show you how that is done .

However, we believe you will already know how to format charts in Excel.

Now, we will demonstrate how the slicers make the charts interactive.

So, as we click on the slicers, watch the charts change.

Now, you should try the same on your dashboard.

Now, you have completed dashboard oh one.

You only have 6 more dashboards to go .

Laugh out loud.

This concludes this portion of the training.

I hope you liked it.

Thank you very much for listening.

I really appreciate your time and your attention.

I will see you back, in the next exciting installment, of using Meta5 to make building Excel dashboards, faster, better, and cheaper.

Ok?

I wish you a good day.

We will be emailing our subscribers useful and
valuable information regarding business intelligence.
Please subscribe here to be on our general emailing list.

HD0012 – How Do I Re-Create The Demographics Dashboard – 03

0

Please watch the video in 1080p because it is recorded in High Resolution.
Please note the script of the presentation is below so you can read along with the demonstration if you like.

Formulas For This Lesson


=IF(AgeBandPivot01!B4="","",AgeBandPivot01!B4)
=IF(AgeBandPivot01!B4="","",AgeBandPivot01!C4)
=IF(AgeBandPivot01!B4="","",AgeBandPivot01!D4)
=IF(AgeBandPivot01!B4="","",SUM($B$2:$B$30)/COUNT($B$2:$B$30))
=IF(AgeBandPivot01!B4="","",SUM($C$2:$C$30)/COUNT($C$2:$C$30))
=IF(AgeBandPivot01!B4="","",B2-D2)
=IF(AgeBandPivot01!B4="","",C2-E2)
=IF(AgeBandPivot01!B4="","",F2/D2)
=IF(AgeBandPivot01!B4="","",G2/E2)


=IF(IncomeBandPivot01!B4="","",IncomeBandPivot01!B4)
=IF(IncomeBandPivot01!B4="","",IncomeBandPivot01!C4)
=IF(IncomeBandPivot01!B4="","",IncomeBandPivot01!D4)
=IF(IncomeBandPivot01!B4="","",SUM($Q$2:$Q$30)/COUNT($Q$2:$Q$30))
=IF(IncomeBandPivot01!B4="","",SUM($R$2:$R$30)/COUNT($R$2:$R$30))
=IF(IncomeBandPivot01!B4="","",Q2-S2)
=IF(IncomeBandPivot01!B4="","",R2-T2)
=IF(IncomeBandPivot01!B4="","",U2/S2)
=IF(IncomeBandPivot01!B4="","",V2/T2)


=IF(LifeStagePivot01!B4="","",LifeStagePivot01!B4)
=IF(LifeStagePivot01!B4="","",LifeStagePivot01!C4)
=IF(LifeStagePivot01!B4="","",LifeStagePivot01!D4)
=IF(LifeStagePivot01!B4="","",SUM($B$51:$B$60)/COUNT($B$51:$B60))
=IF(LifeStagePivot01!B4="","",SUM($C$51:$C$60)/COUNT($C$51:$C60))
=IF(LifeStagePivot01!B4="","",B51-D51)
=IF(LifeStagePivot01!B4="","",C51-E51)
=IF(LifeStagePivot01!B4="","",F51/D51)
=IF(LifeStagePivot01!B4="","",G51/E51)


=IF(GenderPivot01!B4="","",GenderPivot01!B4)
=IF(GenderPivot01!B4="","",GenderPivot01!C4)
=IF(GenderPivot01!B4="","",GenderPivot01!D4)
=IF(GenderPivot01!B4="","",SUM($Q$51:$Q$60)/COUNT($Q$51:$Q$60))
=IF(GenderPivot01!B4="","",SUM($R$51:$R$60)/COUNT($R$51:$R$60))
=IF(GenderPivot01!B4="","",Q51-S51)
=IF(GenderPivot01!B4="","",R51-T51)
=IF(GenderPivot01!B4="","",U51/S51)
=IF(GenderPivot01!B4="","",V51/T51)


=IF(MaritalStatusPivot01!B4="","",MaritalStatusPivot01!B4)
=IF(MaritalStatusPivot01!B4="","",MaritalStatusPivot01!C4)
=IF(MaritalStatusPivot01!B4="","",MaritalStatusPivot01!D4)
=IF(MaritalStatusPivot01!B4="","",SUM($B$81:$B$90)/COUNT($B$81:$B90))
=IF(MaritalStatusPivot01!B4="","",SUM($C$81:$C$90)/COUNT($C$81:$C90))
=IF(MaritalStatusPivot01!B4="","",B81-D81)
=IF(MaritalStatusPivot01!B4="","",C81-E81)
=IF(MaritalStatusPivot01!B4="","",F81/D81)
=IF(MaritalStatusPivot01!B4="","",G81/E81)


=IF(NumberDependentsPivot01!B4="","",NumberDependentsPivot01!B4)
=IF(NumberDependentsPivot01!B4="","",NumberDependentsPivot01!C4)
=IF(NumberDependentsPivot01!B4="","",NumberDependentsPivot01!D4)
=IF(NumberDependentsPivot01!B4="","",SUM($Q$81:$Q$91)/COUNT($Q$81:$Q$91))
=IF(NumberDependentsPivot01!B4="","",SUM($R$81:$R$91)/COUNT($R$81:$R$91))
=IF(NumberDependentsPivot01!B4="","",Q81-S81)
=IF(NumberDependentsPivot01!B4="","",R81-T81)
=IF(NumberDependentsPivot01!B4="","",U81/S81)
=IF(NumberDependentsPivot01!B4="","",V81/T81)


AgeBandChart01AgeValues =OFFSET(ExcelTables!$A$2,,,COUNT(ExcelTables!$C$2:$C$30))
AgeBandChart01UnitsVarPctValues =OFFSET(ExcelTables!$H$2,,,COUNT(ExcelTables!$H$2:$H$30))
AgeBandChart01RevVarPctValues =OFFSET(ExcelTables!$I$2,,,COUNT(ExcelTables!$I$2:$I$30))
AgeBandChart02UnitsVar =OFFSET(ExcelTables!$F$2,,,COUNT(ExcelTables!$F$2:$F$30))
AgeBandChart03RevenueVar =OFFSET(ExcelTables!$G$2,,,COUNT(ExcelTables!$G$2:$G$30))


GenderChart01GenderValues =OFFSET(ExcelTables!$P$51,,,COUNT(ExcelTables!$W$51:$W$60))
GenderChart01UnitsVarPctValues =OFFSET(ExcelTables!$W$51,,,COUNT(ExcelTables!$W$51:$W$60))
GenderChart01RevVarPctValues =OFFSET(ExcelTables!$X$51,,,COUNT(ExcelTables!$X$51:$X$60))
GenderChart02UnitsVar =OFFSET(ExcelTables!$U$51,,,COUNT(ExcelTables!$U$51:$U$60))
GenderChart03RevenueVar =OFFSET(ExcelTables!$V$51,,,COUNT(ExcelTables!$V$51:$V$60))


IncomeBandChart01IncomeValues =OFFSET(ExcelTables!$P$2,,,COUNT(ExcelTables!$W$2:$W$30))
IncomeBandChart01UnitsVarPctValues =OFFSET(ExcelTables!$W$2,,,COUNT(ExcelTables!$W$2:$W$30))
IncomeBandChart01RevVarPctValues =OFFSET(ExcelTables!$X$2,,,COUNT(ExcelTables!$X$2:$X$30))
IncomeBandChart02UnitsVar =OFFSET(ExcelTables!$U$2,,,COUNT(ExcelTables!$U$2:$U$30))
IncomeBandChart03RevenueVar =OFFSET(ExcelTables!$V$2,,,COUNT(ExcelTables!$V$2:$V$30))


LifeStageChart01LSValues =OFFSET(ExcelTables!$A$51,,,COUNT(ExcelTables!$C$51:$C$60))
LifeStageChart01UnitsVarPctValues =OFFSET(ExcelTables!$H$51,,,COUNT(ExcelTables!$I$51:$I$60))
LifeStageChart01RevVarPctValues =OFFSET(ExcelTables!$I$51,,,COUNT(ExcelTables!$I$51:$I$60))
LifeStageChart02UnitsVar =OFFSET(ExcelTables!$F$51,,,COUNT(ExcelTables!$G$51:$G$60))
LifeStageChart03RevenueVar =OFFSET(ExcelTables!$G$51,,,COUNT(ExcelTables!$G$51:$G$60))


MaritalStatusChart01MSValues =OFFSET(ExcelTables!$A$81,,,COUNT(ExcelTables!$C$81:$C$90))
MaritalStatusChart01UnitsVarPctValues =OFFSET(ExcelTables!$H$81,,,COUNT(ExcelTables!$H$81:$H$90))
MaritalStatusChart01RevVarPctValues =OFFSET(ExcelTables!$I$81,,,COUNT(ExcelTables!$I$81:$I$90))
MaritalStatusChart02UnitsVar =OFFSET(ExcelTables!$F$81,,,COUNT(ExcelTables!$F$81:$F$90))
MaritalStatusChart03RevenueVar =OFFSET(ExcelTables!$G$81,,,COUNT(ExcelTables!$G$81:$G$90))


NumberDependentsChart01NDValues =OFFSET(ExcelTables!$P$81,,,COUNT(ExcelTables!$W$81:$W$91))
NumberDependentsChart01UnitsVarPctValues =OFFSET(ExcelTables!$W$81,,,COUNT(ExcelTables!$W$81:$W$91))
NumberDependentsChart01RevVarPctValues =OFFSET(ExcelTables!$X$81,,,COUNT(ExcelTables!$X$81:$X$91))
NumberDependentsChart02UnitsVar =OFFSET(ExcelTables!$U$81,,,COUNT(ExcelTables!$U$81:$U$91))
NumberDependentsChart03RevenueVar =OFFSET(ExcelTables!$V$81,,,COUNT(ExcelTables!$V$81:$V$91))


ExcelTables!AgeBandChart01AgeValues
ExcelTables!AgeBandChart01UnitsVarPctValues
ExcelTables!AgeBandChart01RevVarPctValues
ExcelTables!AgeBandChart02UnitsVar
ExcelTables!AgeBandChart03RevenueVar


ExcelTables!GenderChart01GenderValues
ExcelTables!GenderChart01UnitsVarPctValues
ExcelTables!GenderChart01RevVarPctValues
ExcelTables!GenderChart02UnitsVar
ExcelTables!GenderChart03RevenueVar


ExcelTables!IncomeBandChart01IncomeValues
ExcelTables!IncomeBandChart01UnitsVarPctValues
ExcelTables!IncomeBandChart01RevVarPctValues
ExcelTables!IncomeBandChart02UnitsVar
ExcelTables!IncomeBandChart03RevenueVar


ExcelTables!LifeStageChart01LSValues
ExcelTables!LifeStageChart01UnitsVarPctValues
ExcelTables!LifeStageChart01RevVarPctValues
ExcelTables!LifeStageChart02UnitsVar
ExcelTables!LifeStageChart03RevenueVar


ExcelTables!MaritalStatusChart01MSValues
ExcelTables!MaritalStatusChart01UnitsVarPctValues
ExcelTables!MaritalStatusChart01RevVarPctValues
ExcelTables!MaritalStatusChart02UnitsVar
ExcelTables!MaritalStatusChart03RevenueVar


ExcelTables!NumberDependentsChart01NDValues
ExcelTables!NumberDependentsChart01UnitsVarPctValues
ExcelTables!NumberDependentsChart01RevVarPctValues
ExcelTables!NumberDependentsChart02UnitsVar
ExcelTables!NumberDependentsChart03RevenueVar

Hello and welcome back to the next exciting installment of our Meta5 training video.

I am very pleased to see you come back to watch the next portion of our video training.

I want to say thank you very much for evaluating Meta5.

I want to say thank you very much for your time and attention.

Thank you.

In the prior two videos you completed the tasks of.

One.

Collecting all the data needed for the mini fact tables, and mini dimension tables, that will be used in the power pivot model.

Two.

Sending that data in to an Excel spreadsheet, using the Meta5 feature of sending data to Excel regions.

Of course, you could not start from the point of accessing data from the actual database.

This is because the actual database is a customer database.

And I mentioned to you that we generated all input data using a random number generator.

Please be assured that the real dashboards for the real customer show normal trends in the demographics of buyers of products.

I am sure you will remember where you were up to.

You can review the prior videos if you would like.

You have now completed almost all the Meta5 related tasks.

The only Meta5 task left is to enable the automation of the running of the capsule.

Almost everything you will see in the remainder of this series is Excel work.

Ok?

Now, you are going to create the Excel spreadsheet, that displays the data, that has been collected in the data spreadsheet.

You will see me highlight the finished capsule in the video.

You will see the spreadsheet you are about to create.

I would take this opportunity to remind you, that you should regularly save your work, by saving the spreadsheet, and closing Excel.

Meta five only saves the spreadsheet, in the meta 5 file system, when you close Excel, not when you press save in Excel .

And, laugh out loud, you can guess how much work I lost to find that out .

So please save your work, exit Excel, and reopen the spreadsheet regularly.

To make sure you see every step of the process, we are going to start with a blank spreadsheet.

So, you know the routine by now.

You go and get a blank spreadsheet out of blank icons .

Now, you name the spreadsheet as demonstrated on the video.

Now, open the new spreadsheet.

To get the data from the data spreadsheet, into the power pivot, in the dashboard spreadsheet, you need to click on data in the menu bar.

Now, click on manage data model.

Now, you should be inside power pivot for Excel .

Now, you click on, get external data, from other sources.

It will bring up a table import wizard.

Scroll down to the bottom of the table import wizard window, where you will see, text files, Excel file.

You select, Excel file, then click, next.

It will bring up a window, where there is a place to enter, Excel file path.

Now, click on the checkbox, use first row as column headers.

You click on browse, and navigate to the folder, and the spreadsheet, that contains the data collected by the meta 5 capsule .

You select the spreadsheet with the data in it.

Now, click on open.

Then you will come back to the table import wizard .

Now, click on test connection, to make sure the connection is working OK.

Now, click on next.

A window will open up.

It will show you the tables that are inside the data workbook.

Please note, when you make these kinds of connections, the file name is not able to be passed as a variable.

So, when you are running capsules iteratively, you must make sure that two capsules are not trying to use the same file, at the same time.

You will notice there are source tables, which end in the dollar sign.

These are the names of the worksheets .

The Excel region names do not have the dollar sign at the end of them .

You want to select the source tables, that are the Excel regions, and not the worksheet tables.

So now, select each of the source tables, that do not have the dollar sign at the end.

Now, click Finish .

Excel will import the regions into the power pivot model automatically .

You will see it do that .

Now you can see why you must set the headings in separate worksheets inside meta 5 .

Excel will use the headings you defined in the meta 5 capsule, as the column names, in the power pivot model.

So you want to take care, and be precise in the field names you use, in the headings spreadsheets, inside the meta 5 capsules .

In our example, we have not been so precise, because this spreadsheet was a prototype.

In the future, we will develop spreadsheets, with much more carefully defined heading names.

When we developed this spreadsheet, we did not realize the column names could not be easily changed in the Excel spreadsheet.

Now, you should see that Excel has imported all the regions successfully, into the power pivot model.

Now, click on the close button .

You can see along the bottom of the video, that all the regions have been successfully imported, in to the power pivot model.

Everything we teach you in the demonstration, from this point forward, is pure Excel.

Meta five is being used as the tool, to get your data into the power pivot model, to be used in your dashboards and reports.

It is being presented, as an alternative way, to get data into the Excel power pivot model.

Meta five can be run iteratively during the daily ETL batch processing .

You can even provide parameters, so people get customized spreadsheets, with only the data they need inside their spreadsheets.

Of course, because we are using Excel, the normal limitations of Excel apply.

Now on the month dim table, you want to sort month name description, by month in year .

Now, select month name description.

Now, click sort by column .

Now, in the sort by column dialog box, select month in year, in the sort by column .

You must repeat the process for month name.

In the life stage data, you must sort life stage short description, by life stage code .

So please follow along with the video.

Please note that this dashboard was a prototype.

When done properly, the dimension regions should have the dimension table keys in them, and they should link to the mini fact tables .

Please remember to do that if you build real dashboards.

Now, you should click on diagram view, because you need to link the mini dimension tables, to the mini fact tables.

We will demonstrate to you exactly how to do that in the video.

The reason for all the connections is this.

When we place slicers on the mini dimension tables, a click on a slicer will create a query, to select just the data from the mini fact tables, that is desired by the user, as expressed by the slicer click.

In this way, slicer clicks on the dimension tables, make the Excel spreadsheet be responsive, to slicer clicks, for all the data returned from all mini fact tables .

Now, you need to create a whole bunch of pivot tables, to select data out of the power pivot model.

On the video, you will see me create all the pivot tables necessary.

So, please follow along with the video very closely.

Please do everything you see on the video, on your desktop .

Now, you have all your pivot tables properly created.

Now, you will create a new worksheet, and you will call it Excel Tables .

Inside this new worksheet, you are going to define six new region names .

These six region names, will be used to perform calculations, to place data on to the charts.

So, you need to follow along very closely with what you see on the screen, and copy it to your spreadsheet, on your desktop.

Where you see there are a lot of formulas to cut and paste into the spreadsheet, you might want to copy them from the blog post, or from the example spreadsheet provided.

The next portion of the training, is to prepare formulas, that will form data series, that will be placed into the Excel charts .

Now, we are going to teach you a little trick about how to calculate those formulas .

We put the name of the formula, under each table, and then we calculate the formula, next to that name .

We do this for all the formulas, to make sure we have precisely the correct format, for each formula we need.

We are going to do this for you in this demonstration.

Please follow along on the video closely, and copy this on your desktop.

You should know, this is the best idea we have come up with to do this.

We believe this is very good practice for you.

If you would like to take the short cut, we have also provided the text for the final formulas, inside the demonstration workbook.

We have also provided the text for these formulas on the blog post.

So, you can cut some time from your training, if you would like to cut and paste the finished formulas, in to your workbook.

When you are putting the names into the name manager, you must be very careful to drop the AT sign.

When we were preparing this video, we forgot to drop the AT sign.

This is a very subtle mistake, because the symptom of the mistake is just an invalid formula message .

It is very hard to find this mistake.

To make sure you do not make the same mistake, we have provided you the formulas on the blog post.

So you can easily go and copy the formulas from the blog post .

Now we will show you the video, of cutting, and pasting, all of the formulas, into the name manager, ready to use in charts.

Please be careful to copy the actions on the video exactly.

This concludes this portion of the training.

I hope you liked it.

Thank you very much for listening.

I really appreciate your time and your attention.

I will see you back, in the next exciting installment, of using Meta5 to make building Excel dashboards, faster, better, and cheaper.

Ok?

I wish you a good day.

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