As the data-driven revolution in business and industry continues, companies now have more data than ever before and an incredible range of opportunities to transform multiple operations across the enterprise.
But too many businesses remain locked into “old-school” processes and patterns in terms of how they use their data assets.
The traditional shared services model for activating data usually leads to siloed and complex architectures that may cut off the free flow of valuable data across functions and makes it difficult to integrate different types of data.
Yes, we’re talking about Big Data here, but also more common varieties of data, including transactional data. With new categories of useful data seeming to pop up every day, companies need a different and more flexible approach if they are to mix and match unique data sets to gain big-picture views of their customers, products or other operations.