Many articles have been written about People Analytics and the value of converting people and HR data into actionable insights to gain competitive advantages. 2018 seems to be the year of digital transformation everywhere – and analytics is an important part of the business case. Having worked for leading companies in various industries and geographies over the past few decades I have experienced the trend towards streamlined business processes across geographies and industries. This is especially true for the HR space where standards are moving in fast and where the war for talent is never ending.
Anyway, I can admit that I am part time data nerd and have a strong feeling for analytics, which I have been fortunate to work with in depth the past 18 months in Human Capital Management. In this blog I will share some more in.depth experiences with the newest addition to the SuccessFactors software suite – Workforce Analytics on HANA (WFA on HANA). This innovation allows companies to analyse data over time, understanding the trends shaping your workforce and providing you with actionable insights. And since it is based on the in-memory architecture of HANA most of the insights can get are provided in just a few seconds.
Hoping you will still read on, I will give you the conclusion first:
WFA on HANA is the most important feature that has been added for a long time to the SuccessFactors suite.
And knowing intimately what innovations has been provided in the last 30+ releases this is a big thing to say. Read on, and I hope you understand why I am making this bold claim!
First things first: define what you want to know
Before embarking on an analytical journey it is important to define what key performance indicators or metrics are important to your organisation. What is it that is most important to you? What makes your company different? What trends in the demographics do you need to be aware of? What hypothesis do you want to test? The definitions can rely on your own historical experiences, but you can also take advantage of the experiences from GP Strategies and SAP who defines a framework of standards for Human Capital Measures. These ensure that you follow good industry practise and allows you to compare your own organisation to market data provided by SAP.
WFA on HANA lets you look at your data like you have never been able to before so you can understand more about the trends that is shaping your workforce over time, and so you can make better People Decisions to secure your future. WFA on HANA has a set of predefined metrics following good industry practises and is flexible enough to allow companies add their own dimensions and filtering capabilities. For example, you can run headcount reports over different time periods, split by different dimensions, drill down, filter and even combine metrics (eg. “managerial headcount split by gender”). So in that sense, WFA is a flexible tool that allows you to report on the items that give you a competitive edge while on the other hand following good industry principles. End users are intended to be not only business analysts and reporting specialists, but just as well HR professionals and senior managers.
Case: Headcount reporting
Let’s say that you just want to know the headcount over time for the past 4 years has been. WFA on HANA allows you to get this with the measure “EOP Headcount” (End Of Period Headount). If you were to do this in other reporting tools such as Online Report Designer this report would take minutes to load and would not be suitable for online analytics.
This shows you, hopefully not surprising, that there has been significant growth in your company headcount (or that there has been acquisitions or other major events). More analysis will reveal where the growth has been, what employment types are the most significant and more.
Case: Headcount reporting and Diversity
Then you may want to know what the gender distribution looks like over time for your headcount. Easy, just specify that you want to analyse data by Gender (multiple other analytical dimensions exist).
Now this report shows you that there was some data quality issues in previous years (gender “Unallocated”), but also that the gender split is fairly linear across the years. It is possible to drill down to e.g. Country level to look at differences in geographical areas. So this is what we want to document to our CHRO who asked the question.
Case: Headcount reporting and the 5 Generation workforce
Then you may want to look at headcount and age distribution over time. Simple – just add Age as an analytical dimension and you get the numbers displayed.
Instead of Age you could also use the dimension Generation which converts age to a descriptive text in case this is more meaningful to you. You also have the possibility to click out any of the dimensions as to emphasize the changes in the others, if you for example would be interested in knowing the “over 40” and “below 40” groups.
Case: Managerial Positions split by Age Ranges
But these three you may say is just simple data – it is not really insights. OK, then let’s try to answer a little more complex question about managerial positions – how are we staffing them? To answer this, let’s first look at how many managerial colleagues we employ.
As expected we can see as we have grown, the number of managerial positions has also grown. We can also see that the growth has been significantly larger in the older segment than in the younger. Again, this is not a surprise but important to know. and it tells you something about what promotion principles you have had the past years and this can be used going forward.
Case: Managerial Positions split by Gender
Like the regular headcount dimension you could also look at the gender dimension instead of age ranges. Just add Gender to the Dimension and the report generates. This allows us to understand if we are applying any gender based biases towards our hiring policies and where in the organisation this bias is most profound and which areas can serve as role models (so we better understand what practises we shoould learn from to apply in other areas).
Like all other measures you can drill down to understand if there are geographical differences, business unit differences or which managerial lines have the best mix. If for example you have a large presence in South East Asia you can look at that region only to see how the numbers are stacking up. In the images I have kept these details out – I hope you get the point.
Employee Central is the Core
All data you source in WFA on HANA is delivered directly from effective dated transactions in Employee Central. Data refreshes happen daily and takes all but a few minutes to complete. With the latest Q1-2018 release WFA also respects GDPR requirements such as ability to perform read level logging of personal or sensitive information such as Gender. Events and Event Reasons are mapped from Employee Central to relevant Dimensions in WFA, allowing you to compare your own trends to market benchmarks for measures such as Voluntary Termination Rate.
OK, this covered almost 2% of the capabilities in WFA on HANA. I did not mention anything about termination trends (voluntary vs. involuntary terminations per business area) or combining different data sources such as performance ratings and termination trends or looking at average salary and salary ranges split by gender or generations.
As mentioned in the introduction I think it is fair to say this is a major improvement in the SuccessFactors suite. Best of all, WFA on HANA can be implemented now if you have Employee Central in place – or are planning to. WFA sources data from relevant SuccessFactors modules, optimises your data views from the transactional database into cubes which runs in the background, automated via impressively speedy daily (or hourly) processing.
Working with people analytics is both a project where you define a set of KPIs, implement a tool and build processes and education around it. But it is also a journey where you will be able to – if not forced to –adapt new KPIs as your business surroundings change and as your business matures in their analytical thinking. This is an important point to understand, that WFA on HANA is not the end result, it is the beginning of a continuous journey where you will improve your understanding over time and your capabilities to make better people decisions will improve over time.
If you have any comments or questions please do reach out to us. At GP Strategies we have always been leading the path and we are happy to be part of the first partners able to implement WFA on HANA for real.