Tags: EDATE

Show sales only for corresponding months in prior years

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Refer to this simple Sales dataset

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The objective is to create a simple matrix with months in the row labels, years in the column labels and sales figures in the value area section.  The twist in the question is that for years prior to the current year (2018 in this dataset), sales should only appear till the month for which there is data for the current year.  For e.g., for 2018, data is only till Month 4 and therefore for prior years as well, data should only appear till Month 4.  As and when Sales data gets added below row 17, data for prior years should also go up to that month.

The expected result is

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You may download my PBI file from here. The same solution can be obtained in Excel as well (using Power Query and PowerPivot).

Sales data modelling and interactive visualisations

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Visualise Sales Data of a Non-Alcoholic Beverage Company with basic columnar information such as Date of Sale, Time of Sale, Brand, Stock Keeping Unit (SKU), State, City, Quantity sold, Unit Price and Salesman Code.  In this sales dataset, each line item represents one visit for one SKU.  If nothing is sold in a certain visit, then the SKU column displays No Sale.  So effectively there is a line item for each visit whether or not something is sold in that visit.

From this simple Sales dataset, here are a few questions which one may need to find answers to:

1. How did the Company perform (in both years 2013 and 2014) on two of the most critical Key Performance Indicators (KPI's) - Quantity sold and Number of Visits.  Also, what is the month wise break up of these two KPI's.

2. Study and slice the two KPI's from various perspectives such as "Type of Outlet visited", "Type of Visit" - Scheduled or Unscheduled, "Day of week", "Brand", "Sub brand".

3. Over a period of time, how did various SKU's fair on the twin planks of "Effort" i.e. Number of visits YTD and "Business Generated" i.e. Quantity sold YTD.

4. Analyse the performance of the Company on both KPI's:
a. During Festive season/Promotional periods/Events; and
b. During different months of the same year; and
c. During same month of different years; and
d. Quarter to Date

5. "Complimentary Product sold Analysis" - Analysis displayed on online retailers such as Amazon.com - "Customers who bought this also bought this".  So in the Sales dataset referred to above, one may want to know "In this month, outlets which bought this SKU, also bought this much quantity of these other SKU's."

6. "Outlet Rank slippage" - Which are the Top 10 Outlets in 2013 and what rank did they maintain in 2014.  What is the proportion of quantity sold by each of the Top 10 outlets of 2013 to:
a. Total quantity sold by all Top 10 outlets in 2013; and
b. Total quantity sold by all outlets in 2013

7. In any selected month, which new outlets did the Company forge partnerships with

8. Which employees visited their assigned outlets once in two or three weeks instead of visiting them once every week (as required by Management).

9. Which outlets were not visited at all in a particular month

10. Business generated from loyal Customers - Loyal Customers are those who transacted with the Company in a chosen month and in the previous 2 months.

These are only a few of my favourite questions which I needed answers to when I first reviewed this Sales Data.  Using Microsoft Excel's Business Intelligence Tools (Power Query, PowerPivot and Power View), I could answer all questions stated above and a lot more.

You may watch a short video of my solution here

Story telling with Excel Power BI

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With Power Business Intelligence (BI) tools of Excel 2013, one can metamorphose raw data and/or results of complex calculations into stunning and interactive visualizations.  Power View (one of the four components of Power BI) allows one to create a PPT like flow in Excel thus allowing one to weave a story.  To be able to interact with/create visualizations, you will need to install Microsoft Office Professional Plus 2013 (this version will already have two of the four components of Power BI - PowerPivot and Power View).  Additionally, you will have to install the following add-ins from Microsoft (the other two components of Power BI)

1. Power Query; and
2. Power Map

I have tried to showcase the prowess of Power BI tools of Excel 2013 in these two workbooks:

1. An overview of the BRIC Economies
2. Sales data analysis

You may watch a video of my work at this link

The DATEDIF() bug

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Assume a beginning date in cell A7 and ending date in cell B7.  In range C7:E7, the task is to compute the years (in cell C7), remaining months (in cell D7) and remaining days (in cell E7).  As an example, if one types in 12-March-2013 in cell A7 and 24-March-2014 in cell B7, then the result in range C7:E7 should be 1,12 and 12 respectively.  The formulas for getting these results are:

1.  In cell C7 - =DATEDIF($A7,$B7,"y")
2.  In cell D7 - =DATEDIF($A7,$B7,"ym")
3.  In cell E7 - =DATEDIF($A7,$B7,"md")

So far so good.  All the results are correct.  However, there is a problem with the "md" syntax of the DATEDIF() function.  Try this

1. In cell A7, enter 31-July-2007
2. In cell B7, enter 02-March-2009
3. In cell C7, enter =DATEDIF($A7,$B7,"y")
4. In cell D7, enter =DATEDIF($A7,$B7,"ym")
5. In cell E7, enter =DATEDIF($A7,$B7,"md")

The result in cell E7 will be -1 which is clearly incorrect.  To get the correct result of 2 in cell E7, try this formula instead

=B7-EDATE(A7,(C7*12)+D7)

Hope this helps.