With a saturated analytics and business intelligence (A&BI) market, why are we still struggling to make analytics platforms work for Data Scientists? And perhaps more importantly, why are we failing to see a return on our expensive Data Science initiatives? It’s not for a lack of effort, a lack of spending, or a lack of desire. So what’s the hold up? Read on to find out.
Earlier this year, research firm Market Research Future forecasted the global data analytics market will achieve an annual growth rate of 30 percent through 2023, reaching a market value of almost $78 billion. Yet, according to the Digital Analytics Association, 44 percent of analytics teams spend more than half their time accessing and preparing data rather than doing actual analysis. That’s a dramatic level of investment for very little return
Author: Omri Kohl