Pass Parameters to SQL Queries

One of the questions I get quite frequently is how we can pass parameters to SQL queries, allowing us to make them dynamic. Someone asked a question in the forum on the topic, so that finally inspired me to write it up.

Before you do this…

There are a lot of reasons that you should NOT go this route.

Power Query is designed to take advantage of query folding when targeted against a database.  While this isn’t technically correct, you can look at query folding like this… As you connect to the database and start filtering and grouping via the user interface, Power Query passes these commands to the database to execute.  This means that the majority of the heavy lifting is done at the database, not your workstation.  This continues to occur until you hit a command that the database doesn’t know, at which point it returns the data to Power Query, and the rest is done in your instance of Excel.

Why is this an issue?  Dynamic parameters use custom lines of code, which can’t be folder.  In the case of the poster’s question, this means that he just asked to bring 40 million records into Excel, rather than filtering them down on the server.  Take a guess as to which one is faster?

But what if I want to Pass Parameters to SQL Queries dynamically?

Listen, I totally get it.  I love dynamic queries too.  And anyone who knows me is aware that I’m super obsessed with making my data tables as short and narrow as possible.  This almost always involves filtering based on parameters that the user needs to pass at run time.  So are we dead in the water?  No, not by a long shot.

How to Pass Parameters to SQL Queries – Method 1

I’m a big fan of query folding, and would encourage you to use it wherever possible.  In order to do that, you should use the user interface to connect to the database and drive as many filter, sort and group by operations as you possibly can.  The goal is to push as much work to the server as possible, resulting in the narrowest and shortest data table that you can accomplish.  Once you have that, land it in a Connection Only query.  And from there use your dynamic parameters to filter it down further to get just what you need.

I have no idea what was in the 40 million row data set that the user was working with, but let’s assume it was 40 years of data related to 4 divisions and 30 departments.  Assume that our user (let’s call him Mark) wants to bring in the last 2 years data, is focussing only on the Pacific division, and wants to give the user choice over which department they need to work with.  For ease of assumption, we’ll assume that each year is 1/40 of the annual record load and each division provides 1/4 of the total records.  (Yes, I’m aware that nothing is that easy… this is an illustration of concept only!)

The recommended steps would be to do this:

  • Create the Staging query
    • Connect to the raw database table
    • Filter to only the Pacific Division – Server reduces 40m to 10m records
    • Filter to only the 2 years of data – Server reduces 10m to 500k records (10/40*2)
    • Land this output into a staging query – 500k records total
  • Create the parameter table and the fnGetParameter query
  • Create a query that references the Staging query and filters the department to the one pulled via the fnGetParameter query

That should take as much advantage as possible, and means that Power Query only needs to run the processing of 500k records against our dynamic criteria.

Where Method 1 breaks down

But what if the data set is still too big?  What if you need to parameterize the Division, the Date Range and the Department?  In order to avoid issues from the formula firewall, you would have to do this:

  • Create the Staging query
    • Connect to the raw database table
  • Create the parameter table and the fnGetParameter query
  • Create a query that references the Staging query and…
    • Collects the Division, Date and Department variables
    • Filters to only the Pacific Division
    • Filters to only the 2 years of data
    • Filters to only the selected department

Seems about the same, doesn’t it?  Except that this time we can’t take advantage of query folding.  To pass a parameter to the database, we have to separate it from the parameters in order to avoid the formula firewall.  This means that we break query folding.  And this means that Power Query needs to pull in all 40 million records, and process them.  Not the server, your Excel instance.

I don’t know how much RAM you have (and don’t care unless you’re on 64 bit), or how many processor cores you have (as Power Query is single threaded), you’re in for a LOOONNNGGG wait… if it doesn’t just tip over on you.

So how do we fully parameterize this stuff?

How to Pass Parameters to SQL Queries – Method 2

The good news that it can be done, the bad news is that you need:

  1. SQL Skills, and
  2. An adjustment to the default Power Query load behaviour

Let’s talk SQL Skills

The reason you need SQL skills is that you need to be able to write the most efficient query you possibly can, and pass this into the query when you connect to the database. (Thos italics, as you’ll see, are key.)  So, let’s assume that I want to connect to the old AdventureWorks database and pull records from the Sales.SalesOrderHeader table where CustomerID = 29825.  You need to be able to write this:

SELECT * FROM Sales.SalesOrderHeader WHERE CustomerID='29825'

Why?  Because you need to include that query when you’re building/testing your code.  It goes in the advanced options, below:


(You may need to trust the Native Database Query to get to the next step.)

So that created the following code for me:

Source = Sql.Database("", "AdventureWorks2012", [Query="SELECT * FROM Sales.SalesOrderHeader WHERE CustomerID='29825'"])

Modifying the hard coded query to use dynamic parameters

I then set about fully parameterizing my query using the fnGetParameter query detailed here, and the table shown below:


Here’s the code I cobbled together to do this:

//Pull in a values from the parameter table
dbURL = fnGetParameter("Database URL"),
dbName = fnGetParameter("Database Name"),
dbTable = fnGetParameter("Database Table"),
sFilterField = fnGetParameter("Filter Field"),
sFieldValue = Text.From(fnGetParameter("Field Value")),

//Create the query
dbQuery = "Select * FROM " & dbTable & " WHERE " & sFilterField & "='" & sFieldValue & "'",

//Get the data
Source = Sql.Database(dbURL,dbName,[Query=dbQuery])


I won’t go through the fnGetParameter function, as it’s quite well detailed in the blog post, but the key to understand here is that we are pulling a variety of items from the worksheet table, and putting them all together to feed the line starting with dbQuery.  This line dynamically sources the database path, database name and the SQL query.  Wouldn’t this be heaven if it worked?

Here comes the Formula Firewall again…

But no:


Now if that’s not enough to make you scream… and here’s the issue…

What I really wanted to do was create a power query that connects to the database without declaring the SQL query up front.  Something like this:

Source = Sql.Database("", "AdventureWorks2012")

My thought is that I could load this as a connection only query, then reference it and add the dynamic query afterwards.  Unfortunately, I got nowhere.  I’m not saying it can’t be done, but I couldn’t figure this out.  It seems that the only way to pass a query to the database is to pass it during the initial connection.  But doing so, by its very nature, violates the formula firewall.

So how can we get past it?

Bypassing the Formula Firewall

Yes, we can make this work.  But doing so involves turning off Privacy settings.  I’m not generally a big fan of turning off firewalls, but this one just aggravates me to no end. Normally we turn this off to avoid prompting messages.  In this case it just flat out prevents us from running.  So let’s kill it:

  • Go to Query Settings –> Privacy
  • Select Ignore the Privacy Levels and potentially improve performance

And at this point you’ll find out that it works beautifully… for you.  You’ll most likely need to have anyone else who uses the file set the above option as well.

Security Settings

The security setting we changed above is workbook specific.  Now I’m not recommending you do this, but if you get tired of the privacy settings overall, you can turn them off for all workbooks in the Query Options –> Security tab.  The second arrow is pointing at the relevant option:


And how about that?  Check out the first option… that one lets you avoid prompting about Native Database Queries.  (I seriously have to question why a SELECT query should trip a warning.)

Sample Workbook

Yes, I’ve got one, which you can download here, but it comes with a catch…

I’ve set it up to talk to a SQL Server in order to demo this, as it’s the big databases with query folding that cause us this issue.  You might notice that not too many people provide free access to a SQL server since they cost money to run.  For this reason, you need a login and password to refresh the solution and really see it work.

As it happens, if you’ve bought a copy of M is for Data Monkey, or attended our PowerQuery.Training workshop, then you’ve already got it the credentials. (They are on page 66 of the book.)  And if you haven’t… what are you waiting for?  🙂

We need your votes!

Hey everyone, we need your votes to make a difference in Power Query and Power Pivot!  There are a couple of items in the uservoice forums that I’d like to bring your attention to, and hopefully entice you to vote them up.  The more votes we get, the easier it is for the program managers in the design teams to get the support to actually implement these features.  They ARE interested, they just need you to up-vote them to get them done.

Where we need your votes:

#1 - Add Intellisense to the M Editor

So the idea here is simple: Add Intellisense and better general editing capabilities in the Advanced Editor.  This would make a huge difference to those of us writing M code, and I’ve also suggested in the comments that this be extended to the Add Custom Column dialog.

What kills me on this is the signature of the original submitter:  “Software Engineer, Power BI Desktop”.  I don’t think I’ve ever seen a clearer case where they need our help to justify the budget to get this done.  Please go there and throw some votes on this.

Vote up the “Add Intellisense to the M Editor” idea.

#2 – Modification of the Power Pivot Field List experience

Back in November I posted a suggestion to improve the Pivot Table experience  which would benefit everyone, but especially Power Pivot users.  Full details of my suggestion can be found on the blog here, but the basic summary is this:  Allow the fields area to be collapsible in side by side view. This would make it WAY easier to rearrange fields by reducing unused whitespace.

I was really encourage to see Ashvini Sharma’s response which, paraphrased, says: “We want to do this too, so please get enough votes to help us justify it!”

Vote up the “Ability to collapse PivotTable field areas” idea.

My Ask To You

Please, take some time to throw some votes on these ideas, and encourage every other user you know to do the same.  It’s super easy to do, just go there, click the Vote button, assign as many as you want and verify you’re real with your email address.  (The only email I’ve ever received from this is when they confirmed a feature got implemented.)

Again, we need your votes.  Help us out!  I’d like to see both of these hit 500 votes in order to give Microsoft the justification they need to get these done.


April 2016 Power Query Update

The April 2016 Power Query Update was just released for Office 365 subscribers, and I can confirm that it is available to the First Release customers, as I’ve already got it installed.  (If you’re on a later branch it may be a bit longer.)  It’s also available for download for Excel 2010/2013 customers.


If you read Power Query data from named ranges, I HIGHLY recommend that you avoid updating your software to the newest release right now if you can. The latest builds on the insider track have caused a rather large issue if you are sourcing from a named range that doesn’t have an equal offset of rows/column.  I.e. if your source range doesn’t start in A1, B2, C3, D4, etc… then it pulls the wrong range.  Tables are fine, named ranges are the issue.  Microsoft knows, has architected a fix, but it hasn’t been pushed out yet.  I’ll update this as soon as it has.

The problem is not an issue in Excel 2010/2013 running version 2.29.x or the current 2.30.x.  It is only affecting Excel 2016.

UPDATED 2016-04-21: I can confirm that this issue was fixed in Excel 2016 16.0.6868.2048.

What’s in the April 2016 Power Query update?

At first glance it doesn’t seem like a ton – only two that they are calling out – but I think that this will make a few people pretty happy.

ODBC Connectivity Improvement

The first is that they’ve added the ability to easily select from a list of a available DSN’s when you’re setting up a Power Query connection against an ODBC data source.  No new functionality there, but it saves you the headache of having to manually enter the connection string (which you can still do if needed.)

Get and Transform April 1

Image scooped from the Official Excel blog.

Ability to specify CSV column delimiters

We can now specify the type of delimiter for a CSV, including special characters:



Both small things, but should be quite impactful to the folks who need them.

Newly added Power Query specific help forum at Excelguru

I'm honestly not sure what's taken me so long to do this, but I'm pleased to say that I've finally added a Power Query specific help forum at Excelguru.  I'm hoping that this forum becomes THE place to ask and answer Power Query (or Get and Transform) related questions for both Excel and Power BI desktop.  After all, we wrote the book, so it only makes sense that we try and host the Q&A on the topic.  🙂

Extra monitoring of the Power Query Specific help forum

As the forum gets up and running there are a couple of key people I've added for email notification as well.  The intent here is that we get notified when people post questions, and will try to focus on making sure that they get addressed and (hopefully) solved.  If you are a Power Query expert and would like to be included in that list, just email me or post on this thread.  I'll get you set up.  (Make sure you've signed up for an account on the site, as I'll need your user ID to do this.)

Naturally, if you've got a question pertaining to the topic posted on the blog, you can still ask it here.  If the question is a bit more general though, I'd encourage you to sign up at and post the question in the Power Query forum.

Re-focusing on the Power Technologies

While I was setting this up, I also took the time to set up forums specific forums for some of the other "Power" stack:

Hope to see you there!

Replace Records Via Joins in Power Query

I got an email from a friend today who was using some complicated logic to replace specific records in a table with records from another table.  His query was running pretty slow, so he reached out for a little help. In this post I'll show how to replace records via joins in Power Query; a much easier (and what should be a faster) solution to his issue.

Data Background

The data footprint that was sent to me looked something like this:


And the desired output is shown below:


So basically, we want to take the record for Unit002 from the Override table and replace the Unit002 value in the Original Data table.

At first glance, this looks hard.  And my friend cooked up something pretty complicated to make this work.  Funny thing is (and believe me… I've had this happen to me as recently as last week…) when you put another pair of eyes on it, you suddenly realize it's much easier than you first saw.

In this case we can actually solve this very easily by using a couple of Power Query's different Join types!

Laying the Groundwork

If you want to follow along, grab the sample workbook here.  You'll notice that we have taken the following actions already:

  • Select any cell in the Original Data table
  • Create a New Query –> From Table
  • Go to Home –> Close & Load To… –> Connection Only
  • Select any cell in the Override With table
  • Create a New Query –> From Table
  • Go to Home –> Close & Load To… –> Connection Only

Which leaves us with the following queries in the Workbook Queries pane:


We are now set to replace the records.

Replace Records Via Joins in Power Query

This actually takes a Merge and an Append in order to complete the job.  So let's start at the merge.

  • Right click the "Original" query –> Reference

This creates a pointer to the data in the "Original" query, showing all four rows of data in the table.  The challenge here is that we only want the rows which are NOT being replaced.  The secret to getting those?  An Anti-Join!

  • Go to Home –> Combine –> Merge Queries
  • Choose the Override query
  • Select the Unit column on both the top and bottom queries
  • Change the Join Kind to "Left Anti (rows only in first)"


  • Click OK

At this point, you'll have 3 rows left, as shown below:


Why only 3 rows?  Because the Left Anti Join only returns the rows which don't match what is in the other table.  So where Unit002 exists in the second table, it cause it to pull everything EXCEPT Unit002 from the left table.  (For more on using Anti-Joins in Power Query, see this blog post.)

Joining tables does create a new column however, even if it is full of null values (as this one is.)  Since we don't need it, let's just delete that column:

  • Right click the NewColumn column –> Remove

Now we just need to add the record(s) from the Override table to this list.  That's fairly easy:

  • Go to Home –> Combine –> Append
  • Choose the Override table
  • Right click the Unit column –> Sort –> Ascending (this step is optional, and done for readability only.)

And you're done!  5 steps (after the connection only queries were created), 100% user interface drive, and should perform quite quickly. Smile

Running Totals using the List.Accumulate() Function

A while back I got an email from someone who had taken my Power Query training course online.  They were asking how to create a running total, although with some added twists and turns for calculating taxable gains and losses for a stock portfolio.  I decided to tackle that using the List.Accumulate() function.

Now, to be fair, I'm not going to demo the whole stock portfolio thing, but I do want to look at the List.Accumulate function as I found this a bit… confusing… to build.  It's super useful to be sure, but the help article… it needs work.

The Data

I'm using a pretty simple dialog box, inspired by my time in Australia.  You can download a copy from this link, but here's what it looks like:


Pretty simple, but now I want to create a running total that has 685 for Tim Tams, 741 for Stuffed Koala, and so on.

The List.Accumulate Function

So I headed over to MSDN, and found this helpful little article on the List.Accumulate function. It contains the following information.


List.Accumulate(list as list, seed as any, accumulator as function) as any


Argument Description
list The List to check.
seed The initial value seed.
accumulator The value accumulator function.


// This accumulates the sum of the numbers in the list provided.
List.Accumulate({1, 2, 3, 4, 5}, 0, (state, current) => state + current) equals 15

Using the List.Accumulate Function

So this formula looks pretty promising.  Let's go see how it works…

    • Click in the table of data –> create a new query –> From Table
    • Go to Add Column –> Add Custom Column
      • Formula Name:  Initial
      • Formula:

#"Changed Type"[Sales],
(state, current) => state + current

The tricky part here is the #"Changed Type"[Sales], which provides the list of the sales values from the Changed Type step of the query (that was automatically created when we pulled the data in.)

And the result:


So this is a bit weird, as it shows the total for all rows, rather than the running total.  I figured that you should be able to change the accumulator function… except that there is no documentation about what the options are!  (I left some critical feedback on the MSDN site, and would suggest you do too, as that's pretty poor.)

At any rate, I tried dropping the "+ current" from the end, leaving just => state.  The result was a 0 value all the way down the column.  So that plainly didn't work. Then I tried modifying the formula again, leaving => current instead.  The result was 231 on all rows (so the last value in the accumulator.)  How 0 + 231 = 1095 I'm not quite sure but whatever.  state + current returns the overall total.

So plainly, we can't just use this function on it's own.

We need the List.Range function!

With the List.Accumulate function returning a total of all rows fed into it, it became plain that we needed to control what was being fed into the list used as a parameter.  So I reached back out to MSDN and browsed the site until I located the List.Range function.


List.Range(list as list, offset as number, optional count as number) as list


Argument Description
list The List to check.
offset The index to start at.
optional count Count of items to return.


List.Range({1..10},3,5) equals {4,5,6,7,8}

Using the List.Range function

In order to use the List.Range function, we are going to need to figure out which rows we want.  To do that, we need to add an Index column

  • Add Column –> Add Index Column –> From 1

Then add a column that makes use of List.Range()

    • Go to Add Column –> Add Custom Column
      • Formula Name:  Initial
      • Formula:

=List.Range(#"Added Index"[Sales],0,[Index])

So what I'm doing here is feeding in the Added Index step (from adding the Index column), and providing the [Sales] column to get a list.  But I'm asking it to return the list for the number of rows as contained in the [Index] column.  The result is a green word that says List all the way down the column.  But if I select the whitespace beside any of those List items, we can see what it is contained within.  Shown below is the list for the Stuffed Koala row:


Okay, so we now have a list of what we need…

Putting it all together

The final step is to put these together.  So let's add a new column again, but this time we'll use that List.Range() function instead of #"Changed Type"[Sales] as shown below

    • Go to Add Column –> Add Custom Column
      • Formula Name:  Success
      • Formula:

List.Range(#"Added Index"[Sales],0,[Index]),
(state, current) => state + current

And the result gives us what we were originally looking for:


The only thing left to do is remove the columns we used along the way.  Of course, we could just remove those steps, as they never really needed to happen, but I'm going to select them and remove them so that you can see the work in progress.

And sure enough, we get what we need!


Creating a Banding function in Power Query

I got a question on the blog recently about creating a banding function in Power Query, or creating buckets for Accounts Receivable transactions.  (30-60 days, 60-90 days, etc..)  As this is something that can be applied to a lot of areas, I thought it might make a good post to cover.

If you'd like a copy of the sample workbook, you can find that here.

 The need for a Banding function

Picture that you have a list of transactions that could be from 1 – 170 days overdue, and you'd like to group them as follows:

  • 0-30 days (current)
  • 31-60 days
  • 61-90 days
  • 91-120 days
  • >120 days

You could create a table with 365 days in column 1 and the appropriate description in column 2, then merge them, but that seems like a lot of work.  It would be much easier to create a simple little function that banded them correctly for us.  Especially if you happen to have a little template that you can refer to…

The Banding function

The banding function template we need is shown below:


Notice the key parts here:

  • days (highlighted in yellow) is the variable that we'll pass into our function to evaluate
  • ARBand is the name of our function
  • Between the indented curly braces we have a list of the potential outcomes we'd like to use for our bands.  If the value of x (which we will test) is less than 31, it is labelled "Current".  If not, then -- if it's less than 61 -- it is labelled "30-60 Days" and so on.  The final clause (=>true) basically returns an "else" statement.
  • The Result line then checks the days variable against the list and returns the correct match or the "else" clause if no match is found (">120 Days" in our case)

This banding function is a super useful template that you can modify to suit for any grouping needs.  If you are updating this function for your own scenario, make sure that the yellow pieces match, the orange pieces match, then change the number bands and offsetting text pairs (ensuring that the remain wrapped in quotes.)

You can add as many steps (bands) as you need, just make sure that each line ends with a comma, and the =>true line stays at the end of the list.

To implement the function:

  • Create a new query –> from blank query
  • Enter the Advanced Editor
  • Paste in the code shown above
  • Modify your bands to suit
  • Click OK to exit the advanced editor
  • Name the function

I obviously didn't need to edit mine, and I called mine "DayBanding".

Setting up the data

There are two pieces that I need to deal with for my scenario.  I have a transactions table, but it only lists the original transaction dates.  In order to work out the day bands, I need to create a way to show how many days have been elapsed.  Easy enough to do, I just need to pull in today's date from somewhere.

So I created a simple table that holds today's date:.  (It's hard coded in the same file, since the transaction dates are hard coded as well.)  Regardless, it looks like this.


And here is an excerpt from the table of transactions:


Grabbing today's date

Since I'm going to need the date to work out the number of days outstanding, I'll start there.  The steps to accomplish this:

  • Select a cell in the parameter table –> New Query –> From Table
  • Rename the query to "Today"
  • Click the fx icon in the formula bar
  • Modify the formula to show as follows:
    • = Date.From(#"Changed Type"[Value]{0})

(I've discussed this technique a lot on the blog in the past – like in this post – but it basically we are drilling in to the first item in the [Value] column of that table, then wrapping the item with the Date.From() function to extract the date.  We'll use this shortly, but first…

  • Go to home –> Close & Load To… –> Only create connection

And we now have a way to pull up the date when need.

Grabbing the transactions table

Next I needed to pull in the ARTransactions table, include the date, work out the number of days outstanding, then band it all.  Here's the steps I used:

  • Select a cell in the ARTransactions table –> New Query –> From Table
  • Add a Custom Column
    • Name:  Today
    • Formula:  =Today

This works since we called our original function Today, and we drilled right in to the date.


Next up, I needed to subtract the Transaction Date from Today's Date:

  • Select the Today's Date column
  • Hold down CTRL and select the Transaction Date column
  • Go to Add Column –> Date –> Subtract Days


Using the Banding function

The final step is to call the banding function and classify our days:

  • Add Column –> Custom Column
    • Name:  Day OS
    • Formula:  =DayBanding([DateDifference])
  • Right click the Today's Date column –> remove

And we have a nice table that has the grouping level we need:


Another little trick…

Now I'd like to build a Pivot Table using this, but I'm not really in love with the idea that I have to load this data to a table first.  I mean really, I only added a single column.  Normally I'd load this to the data model, but I don't really need Power Pivot for what I want to do.  So let's take a look at another little trick that will let us avoid the data duplication that would be caused by loading this to either the Data Model or the Worksheet.

  • Close & Load To… –> Only Create Connection

Now we need to build the Pivot Table.  I'm going to show the steps for this in Excel 2016 (because I'm working on a computer that only has Excel 2016), but you should be able to make this work in Excel 2010/2013 as well.

  • Insert –> Pivot Table
  • Choose External Data Source (yes, you read that right) –> Choose Connection

In this window, your queries should show up!


  • Select the Query – ARTransactions –> Open
  • Choose to place your Pivot Table wherever you'd like it –> OK

Configure the Pivot Table as follows:

  • Rows:  Customer
  • Columns:  Days OS
  • Values:  Amount

And with a couple of sorting and formatting changes, I've got this thing of beauty:


Final Thoughts

I showed a couple of tricks here:  How to use a Banding function, and how to build a Pivot Table directly against a connection only query without having to go through Power Pivot.  Both useful things that you should have in your arsenal of tools.  Smile

Last Chance to register for Excel Summit South

Excel Summit South 2016

I’m only a few days away from my flight to New Zealand to kick off the first leg of Excel Summit South.  I’m really looking forward to it.  And if you’ve been sitting on the fence as to why you should attend… just ask Jeff Weir.  (Seriously, read his post, it’s awesome!)  But you need to act quick here, as it’s pretty much your last chance to register for Excel Summit South now.

What it’s all about

This will be a great opportunity to keep up with modeling practices, extend your analysis skills, and see what’s happening with Excel.  Full details about the Summit can be found at the Excel Summit South 2016 web page, but you can read about some of the high points below, or – did I mention that you should read Jeff Weir’s Why I’m going to Excel Summit South. (And why you should too) post on Daily Dose of Excel?

When and where is Excel Summit South?

The Summit will take place at these cities on the dates shown:

  • Auckland: Thurs-Fri 3-4 March (register by 28 February)
  • Sydney: Mon-Tues 7-8 March (register by 1 March)
  • Melbourne: Thurs-Fri 10-11 March (register by 6 March)

Last Chance to register for Excel Summit South - Discounts available!

As an additional incentive, we’ve arranged a last chance registration discount, but only up to the date above.  Simply REGISTER HERE and use the code LASTCHANCE to save 30% on your registration fees.

23 Excel Master Classes

With your registration, you can choose from 23 master class sessions over two days.  There are twin tracks for modelers and analysts alike, and you can jump between if you’d prefer to do so.

Modeling Track – Manage Spreadsheet Chaos, Testing Spreadsheets, Avoiding Common Errors, Modeling Best Practices, Simulation Analysis Without VBA, Power Pivot.

Analysis Track – Tables, Pivot Tables, Power Query, Data Visualization, Dashboards, Automating Excel.

The Who’s Who of Excel…

Learn from six (seven!) leading Excel MVPs as they discuss the Excel topics most useful to you.

Liam Bastick (AU), Zack Barresse (US), Bill “Mr Excel” Jelen (US), Ken Puls (CA), Jon Peltier (US), Charles Williams (UK), with a guest appearance by Ingeborg Hawighorst (NZ) in Auckland.

Hear industry leading speakers about Financial Modeling best practices, standards and spreadsheet risk.

Smita Baliga (PwC), Félienne Hermans (Delft U), Ian Bennett (PwC), Andrew Berkley (F1F9).

Interact with members of the Microsoft Excel Dev Team as you explore with them the future of Excel.

Ben Rampson and Carlos Otero from the Microsoft Excel product team.

Network and Interact

As if the classes weren’t enough, we’ll also have Panel Discussions, Ask The Experts sessions, Demonstrations of Commercial Excel Tools, and even an Evening Meet-up where you can ask your Excel questions over a beer.  (Full caveat… the quality of the answers may decline as the evening progresses!)

A shout out to our principal sponsor

PwCOur principal sponsor for this Summit is PwC Australia and PwC New Zealand.  We appreciate them coming on board to host this event!

Excel Summit South

Yes, you read that right.  If you haven't heard yet, I'll be coming to New Zealand and Australia in just under a month!  And the entire purpose of the trip is to come and share Excel knowledge for with my friends and colleagues south of the Equator.

I'm pretty jazzed about this, and not just because I get to go to the southern hemisphere for the first time in my life.  And also not just because I get to talk about Excel when I'm there.  That would be enough, but no… I'm jazzed because I get to do this with some pretty cool friends who are world respected leaders in their area.

Excel Summit South

The main purpose for my trip is the Excel Summit South conference.  Two days, two tracks of advanced Excel material in 3 different cities:

  • Mar 3&4: Auckland, New Zealand
  • Mar 6&7: Syndey, Australia
  • Mar 9&10: Melbourne, Australia

And the best part about this conference is that – while it's sponsorsed by Price Waterhouse Coopers – regisration is open to everyone.  So basically, you can check the schedule, pick the sessions that interest you, and learn things that will impact your Excel skills.  In other words, if Valuation Modelling isn't your thing, then you can go to a Power Query class.  And if Power Query isn't your thing… well… you're kind of odd, but there will be something that is.  Smile

The cast and crew for this conference really can't be beat.  Charles Williams, Bill Jelen, Jon Peltier, Zack Barresse, Liam Bastick are all Excel MVP's on the bill (as well as Ingeborg Hawighorst in our New Zealand apperance.)  Heck, we've even got a couple of guys from Microsoft attending and presenting as well.  This is a fantastic opportunity to not only meet some of the big hitter independant Excel folks out there, but also to talk to Microsoft directly.  How can you pass that up?

My Sessions

If it hasn't shown yet, I'm seriously looking forward to this conference.  Personally I'll be leading two sessions:

An End to Manual Effort: The Power Query Effect

What Power Query is, why you care, and how it can re-shape and transform the data experience.  What's really special about this session is that I'm going to take this data and turn it over to Jon Peltier who is then going to take it and turn it into a dashboard.  This is perfect, as I'm demoing how to automate data cleanup, and Jon will show you how to use it to add true business value… the real life cycle of Excel data in just a couple of hours.

The Impact of Power Pivot

This one will be fascinating, especially for those who have never seen Power PIvot in action before.  In just an hour I'll show you how big business BI (business intelligence) is at the fingertips of anyone with an Excel Pro Plus license.  It's applicable to companies as small as one employee, and scales up to multi employee small businesses, and even large businesses.  (Departments in large corporations eat this up, as they effectively just act as a small business within the larger whole.)

Register for Excel Summit South now!

Tickets are going fast for this event in all cities, so we ecourage you to register sooner rather than later, and hope to see you there!  You can find out more details and register at:

First Power Query class of 2016!

The intake is closing soon for our first Power Query class of 2016, which starts on February 3, 2016.

If you haven't heard about this, or you've been considering taking it but haven't signed up yet, you've been missing out.  We truly believe that you'll never take a course that can have this much impact on your job.  If you routinely clean up and prepare data before you can analyze it, and you're NOT using Power Query to do it, you're putting in too much effort and doing too many things over again.  Quite simply, you (or your staff) are wasting their time.  You owe it to yourself to join us and find out how you can significantly decrease or eliminate data preparation time and devote your skills to what they were hired for: analyzing results and reacting to them.

What is included?

We've reviewed the course since we started airing it last year, and overall have been very pleased with the feedback that we've received, as well as the way it's been delivered.  In case you weren't aware, every registration includes:

  • Full downloadable recordings of the entire training event.  (So if you have to miss some time, it's okay, as you get to download it later to re-watch it on your schedule.  We've found people really like this, as it helps not only with time zone issues, but also allows you to review the material at a later date when you are trying to implement your own solutions.)
  • Copies of every workbook used in the workshop delivery
  • Access to our SQL Azure database so you can practice working with data in SQL
  • 6 practice labs with full written and video solutions.
  • Real world examples to explain not only how to do the job, but also the value proposition of using Power Query
  • Explanations and demos of pitfalls, hurdles and gotchas!
  • A free digital copy of M is for Data Monkey
  • A Q&A day to ask questions about applying the techniques to YOUR data

Course Improvements

We're really proud of all of that.  But one part bothered us in our intial setup… we felt that our Q&A day came a bit too fast, and didn't allow people enough time to really use Power Query to any great degree.  To that end we are still offering a Q&A day – heck, we think this is a huge value proposition to the course as you can submit your own issues and we will solve them for you! – but we have bumped the date out a bit.  Instead of hosting our Q&A session one week after the main course, we are now hosting it two weeks after the final day.  We feel that this should allow more time for our attendees to experiment with their data and submit even more challenges for Miguel and I to solve and demo for you.  And remember, the entire Q&A session is recorded for you to download too… so even if you can't make it, you can still submit your questions and get them answered!

Long lasting training resources

We've worked really hard on this course, and tried to make this one of the most complete training packages on the planet.  We've included as many resources as possible to get you up and running with kick-butt and maintainable solutions as quickly as possible.  We've worked hard to give you resources that will FAR outlast your time in our class and impact the way you work with data forever.  Don't miss your opportunity to jump on this, as our next intake won't be until some time in April!  Why miss out on a whole 2 months of productivity gains?

Even better, the skills you'll learn here aren't just applicable to Excel 2010 and higher… they are also applicable to Power BI and Power BI desktop.  So you're learning material that will help you with multiple programs in one session!

Need professional development hours?

We are more than happy to provide you with a certificate of completion, as well as the actual hours you are logged in online.

Discounts available if you register now!

This training will pay for itself, we're sure of it.  But to make that even more likely, we're offering you a 10% discount on the list price of $595 USD.  Use code GPCPA1 at checkout and we'll knock $59.50 off the price, but only until January 31…which is coming up in a couple of days!

Register for the first Power Query class of 2016 here

To register or learn more about the course, head on over to  We hope you'll join us so that we can help transform your Excel skills into a whole new level of awesomely efficient!