intelligent

Across industries , mid-sized organizations have reinvented themselves as datadriven entities :

• Retailers gain clarity about customers so they can make the right offer at the right time .

• Financial institutions count on trusted systems to manage assets and meet ever tighter regulations .

• Health care providers use data to reduce costs while improving patient care and outcomes .

• Manufacturers use data to manage lean operations , run robotics , and detect defects .

• Public sector organizations use data to better serve constituents while stopping fraud , waste , and abuse .

In every industry , mid-sized organizations have found success with data and analytics .

But they face challenges along the way .

What ’ s your challenge ?

Whether your organization has 500 employees or 5,000 , these scenarios probably look familiar :

• You need up-to-the-minute insights from data , but the volume and velocity of data are overwhelming the systems designed to make sense of it .

• The IT environment has become too complex and feels like a deck of cards – from different decks . There are too many moving parts to align and a lot of fingerpointing among vendors when things don ’ t work .