A June 2017, research study conducted by Forbes Insights and Dun & Bradstreet, revealed that 59% of more than 300 companies surveyed did not use predictive modeling or advanced analytics, and 23% still used spreadsheets for most of their data analytics work. Even more startling was the fact that 19% of respondents used no analytical tools more complicated than basic data models and regressions.
This news is not encouraging for big data and analytics champions and managers—nor is it good for their lagging companies, as evidenced by an MIT Sloan Management Review that found that 67% of companies that were aggressively using analytics achieved competitive advantage in their markets.
Sacrificing competitive advantage is reason enough for CIOs and CDOs to place analytics adoption by the company near the top of their priority lists.
What is slowing down meaningful big data and analytics adoption, and what can CIOs and CDOs do about it? See below five common problem scenarios and ways to overcome them.
Source : Tech Republic