PowerBI Progress & Schedule Dashboard – By Darrin Kinney

I have recently been developing a series of videos that highlight the key features utilized in a progress and schedule dashboard. The videos showcase the capabilities of PowerBI dashboards in the Project Controls space. I have not seen dashboards effectively used in this way and want to share the valuable knowledge.

 

I have recently been developing a series of videos that highlight the key features utilized in a progress and schedule dashboard. The videos showcase the capabilities of PowerBI dashboards in the Project Controls space. I have not seen dashboards effectively used in this way and want to share the valuable knowledge.

This series is not meant to be a step by step guide. There are subtleties about this demo that may cause difficulties in the production environment. I would simply recommend you share this with your development team and discuss the pros and cons of your approach. Oftentimes, a more straight forward approach is more valuable when compared to endless development polishing an inferior product.

 

Part 1: The Showcase

This video gives an insight into the key capabilities of the dashboard. Having the ability to seamlessly review schedule activities, and how these contribute to the overall progress and forecast, is invaluable.

The ability to quickly dive into your schedule, without having to deal with the confines and limitations of your actual scheduling tool are also key features.

 

Part 2: The Excel Feeder Sheets

This highlights a simple Excel feeder sheet. Too often the time phased data that our schedules produce are not easily accessible in a digital format. I have built an excel file around a typical structure that project controls deals with. This structure will lend itself nicely to the steps that follow in converting the into a database format.

 

Part 3: PowerBI PowerQuery

Here we import the data from the Excel feeder sheets into the PowerBI platform. The use of PowerQuery is so embedded with the way PowerBI works. The steps you need to follow here are the similar to the steps you would need to follow in inserting the progress and schedule data into any formal data structure. The way we think about data is sometimes not compatible with the format that databases need. This is specifically around the need to “unpivot” time phased data.

 

Part 4:  PowerBI Measures and Dax

With all the data now structured and available to PowerBI, we need to now dive into the use of DAX to create Measures. A perfect example in the use of measures is in the generation of progress curves.

What might seem line a straight forward approach to drawing simple progress curves, is in fact (within the realms of PowerBI) not that simple. However, if you follow a logic approach and know what calculations are needed, the world is your oyster.

 

Part 5: Integration of JIRA and Agile Methods

In the (as of now) final installment of this series, I showcase a way in which we can integrate our PowerBI dashboard with a JIRA project. This approach is completely different from what you might expect. I don’t want to put a PowerBI dashboard ontop of my JIRA task list. I want to put a JIRA task list on top of my schedule.

The purpose of the dashboard is to extract the SCHEDULE data from the scheduling tool. When variations to prior forecasts occur, or where further detail is needed, we are often constrained because pictures, running commentary and discussion about each activity is not something that resides in our schedule. However, we can use JIRA to easily capture those elements and use our PowerBI dashboard and a linking tool to integrate everything together.

 

The Future: ???

There are still a lot of features and extensions that I have yet to formally discuss. The next steps are likely going to be a showcase of a SQL Server backend for this data. There is a lot of information that is missed in the way this dashboard imports data (specifically past budgets). Therefore visibility into changes is restricted.

Another interesting feature is the use of saw tooth graphs when budget changes occur. I have a clear vision for how this is possible, but perhaps not the development know how. I will definitely be passing my ideas on to a few more tech savvy than I, and will hopefully have something to say about that in the near future.

In general, the way in which dashboards and data are embedded into our work processes, is a field ripe for growth. It is also an endeavor that can greatly increase the visibility into project controls data and can also bring teams together using integrated tools like JIRA. As such, the future is bright and where we should always have half an eye looking.

 

Introduction to Modern Excel

Download the .pbix file, Click  here to open on the web.

Untitled

Modern Excel is a term  first coined to distinguish between Excel 2007, and Excel 2010  that saw  the introduction of PowerPivot and PowerQuery,  Excel has become a first class enterprise Business intelligence solution, Millions of row can be loaded, using PowerQuery , data can be linked using PowerPivot interactive, reports are easy to generate using PivotCharts and Cube Formula, and your audience will have more confidence in your reports.

Basically excel become a personal datawarehouse that store and analyze millions of records from multiple data sources.

A sample dashboard In Modern Excel

A “traditional” excel dashboard has no real distinction between the data source and the report itself, everything is mixed together with the results generated by a mixtures of vlookup and sumproduct, and maybe some VBA code,  if the boss ask for a different report, you have to start from scratch, but most importantly, it is error prone, if you move one cell, you may change the results without noticing, and there is no obvious way to audit the results.

The Dashboard was first built in Excel using PowerPivot and Powerquery then imported into PowerBI desktop then  published to the web.

I could have simply distribute the excel file with the reports  but I wanted to emphasis it is not simply another Excel spreadsheet with zillion of cryptic formulas that no one can understand except the author but a proper database solution based on columns not cells.

 

How it works

Anyone who used MS Access will find modern Excel very familiar, so let see how the steps needed to generate the sample  dashboard, it is only a very high level description, not a detailed tutorial.

Data Source: most of SQL Servers, excel, text files, web, ms access, basically any data source you may think of

Data Preparation: PowerQuery is a Powerful ETL Tool for cleansing data and prepare it to be loaded in the data Model, for example if your export the spread of hours from P6, the data will be spread horizontally, in a couple of clicks  you can unpivot the data and make it as a table

Data Model: is where the relationship between the table are defined, here is a screenshot from the sample dashboard

DataModel

Dax:  the language to query the data model and define your measures, it is not that different from sql queries

Report and Charts: Pivot table, Pivot chart and cube formula that read from the data model

Here is an example of a pivot table that query from the data model, notice how are all the tables are visible, a classical pivot table will show only one table.

Pivot

Powerpivot vs PowerBI

It can be a little confusing when you hear all those terms but basically The core technology in Microsoft Business intelligence stack is in an in-memory analytic engine called Vertipaq, the same technology is present in different products intendent to service different market segment

  • PowerBI : the cloud offer from Microsoft to provide business intelligence for enterprise, it mainly compete with the like of tableau and Qlik, PowerBI come in two editions free and professional.
  • SQL Server Analysis Services : On premise Enterprise offer come with MS SQL Server
  •  PowerPivot : in Excel 2010  and up for self-service Business Intelligence

Wrap Up

Self service business intelligence is changing how to deal with data, microsoft has manage to bring a powerful technology to the end users,  previously a word like datawarehouse was exclusively a heavy IT investment, now with PowerPivot and PowerQuery you can do it by yourself.