From all the talk, you might think Big Data is powering multinational corporations and transforming their businesses. But of the countless companies trying to leverage vast amounts of data, only a few have been truly successful. To benefit, companies need to make a significant commitment to re-engineer their decision-making processes.
For most companies, Big Data is not fully integrated into their procedures. Workers are overwhelmed by the volume of data, and either they don’t know how to use it or they can’t use it in a timely way. Although many people talk about turning data into insights, the under-appreciated problem is turning those insights into decisions. This means getting data analytics to the right decision maker at the right time, which requires a new way of working.
Even when a company has great software and great analysts generating great insights, it can struggle to make those deductions useful. Leaders on the business side have to commit to using them. Decision makers need to trust them. And information needs to flow properly, with a timeliness that’s aligned to decision-making cycles.
[[ source businessweek ]]
No comments