I just want to throw this out there, I believe companies are blind without meaningful analytical insights. Companies that are lacking or not utilizing this data are like deer in the headlights. They freeze up.


Is your company like that deer? In constant surprise, fearful of what might happen, not prepared for a sustainable future……. paralyzed like that deer in front of a fast approaching vehicle? Or are you the headlights?


Opinions, gut feelings, and pre-existing biases are all forces that compete with real data and facts. Although analytic insight is available and does not have to be costing an arm and a leg, many companies still do not utilize valuable and available data resources.


Qualitative and quantitative data helps identify and understand the key actions and measures for success. This data also helps identify the pain points, as well as highlight those areas that are working well.


One would think that companies want to understand their progress and communicate their successes better, both to their workforce and externally, and therefore data should serve more than setting realistic and meaningful goals. What is the purpose of setting goals when you are not measuring your achievements?


As an example, D&I Data analytics is important when it comes to a number of areas, including:


➡️ #leadership : accountability and commitment to D&I strategy

➡️ Talent Impact: impact on key HR areas

➡️ Performance Impact: impact on competitiveness, customer understanding, innovation, sales & profitability

➡️ D&I policies: predicted level of #employeeengagement across key policies


The risk of not collecting D&I data is that we end up guessing on D&I analytics. A true dangerous game to play, since wrong conclusions could be drawn and your company could end up like that deer in the headlights - or even worse…as ‘roadkill’ on the corporate highway .


We at Predixa can help your company get (back) into the driver’s seat. Reach out to me for more information: kirsten.westholter@predixa.ai

#diversityandinclusion #data #dataanalytics #sustainable