While working with Power BI we often need to convert Seconds to Duration. This is easily done in Excel just by applying the formatting code “HH:MM:SS”. Unfortunately in Power Query or DAX, this is not possible. Here is the solution:
Grouping means combining multiple items into fewer items. It helps us consolidate and summarize things to understand them at a higher level of granularity. Let us see how to use Power BI Grouping done easily and quickly. This is useful for Ageing Analysis, Bin or Bucket Analysis, week / custom date range analysis.
Continue reading Power BI Grouping
This workshop was conducted on 26th May 2018 at Mumbai, India.
35 participants from 12 organizations participated in the program.
The average feedback was 4.7 out of 5.
This is a commonly asked question. I will try to answer it in the simplest possible manner. Of course, this is as of May 2018. Things change very fast. So please check online for the latest status. Power BI Free does exist. In two forms. One is built into Excel and one is a subscription option. Continue reading Is Power BI Free ?
This content is relevant only if you are a CIO (or IT decision maker). Here is the video of the session I conducted at CIO Power List event on 4th May, 2018, at Conrad, Pune. Shadow Analytics has been around ever since “shadows” – also called end users – are around. Everyone knows about. Some people tried to eliminate it. Nobody succeeded.
This 30 minute video explains how to use Shadow Analytics as an opportunity to empower rather than restrict users and improve effective utilization of data.
The demos included in this Shadow Analytics video are:
Flash Fill, Insights, Explain the increase and Q&A.
What is Shadow Analytics?
It is all kinds of data capture, clean-up, manipulation and report generation performed by end users without IT intervention.
If you generate a report from a business system (which is built or managed by IT), it is alright. But if you copy paste data from multiple such reports into Excel and then generate a new report, it becomes “Shadow Analytics”.
As you can imagine, it is difficult to eliminate it. Irrespective of how much time and effort you have spent on creating the most flexible ad-hoc reporting systems, it is impossible to provide every possible variation that users want. Therefore, Shadow Analytics has always been there and is likely to survive in the foreseeable future.
Problems associated with Shadow Analytics
Primarily two problems. It is extremely error prone and time consuming. There are lots of related problems. The root cause is that data is handled in a casual manner without regard for its recency and in a completely undocumented manner.
This can lead to wrong decisions, delayed decisions, increased operational risk and enormous wastage of precious time.
It is impossible to handle and correct the data sources and deliver data to users in a manner which is so easy that they stop doing the manual capture and clean-up altogether.
Once clean, accurate and updated data is available as input, creating reports can be done by end users in a more informed and productive manner.
Power BI is becoming popular. Therefore, many companies are interested in considering a Power BI Pilot project as a proof of concept. While interacting with customers, I have noticed that many such pilots fail. The failure is NOT due to the capabilities of the product, but due to other factors which are controllable. In this article, I have listed a process which prevents common errors and improves the credibility of the outcome.
Excel Data Model is a database that is built-in to Excel. It has been around since 2010. Using it increases the capacity of Excel to handle millions of rows, it reduces file size significantly and eliminates VLOOKUP for code to description mapping. These new options in Excel 2016 and above simplify the usage of Excel Data Model and improve performance for large data operations. Go to File – Options – Data tab.
PowerView button missing in Excel 2016 – Insert tab? It it visible in 2013. Here is how you add it.
A brilliant new feature is now available in Power BI – Split column into rows. To understand why we need it, you must go and read the article – Analyzing badly captured Survey data or feedback forms. This method used Power Query concepts of Split and Unpivot. Now these have been combined into a single, intelligent command called Split columns into rows. It sounds confusing at first. But soon you will realize that it is an amazing tool. Learn it just 4 minutes.
Raw data looks like this
And you get a report like this. No need to use formulas or do any manual work.
You must have the May 2017 update for Power BI Desktop installed.
This is a short post. It is like an FYI mail. Excel never understood any dates before 1900. We got used to that limitation over the decades. But Power BI does understand Dates before 1900. The best part is, you do not have to take any specific action. It just works.
Here is the raw data and the Power BI output.
If you try this in Excel, it just will not work. Now that you know this, starting using Power BI with Dates before 1900.
Mind you, the Power BI documentation says that the earliest limit is 1900. It still works for dates before 1900. Drill down is also supported. Here is the same data at Day level.
This ability may make historians and archeologists partially happy. There time scales are huge and Power BI does not support that much of a range. But still, it is an improvement worth knowing about.