3 Steps to Building a Strong Data Integration Strategy

Data has the power to transform everything we do in every industry from finance to retail to healthcare — if we use it the right way. And businesses that win are maximizing their data to create better customer experiences, improve logistics, and derive valuable business intelligence for future decision making in the era of digital transformation.

Data integration is the process of combining data from several different sources in a unified view, making it more actionable and valuable to those accessing it. Successful data integration combines speed and integrity at scale—so that you can meet the demands of your business today, with data you can trust, and keep up with new innovations and the exponential growth in data.

But, as many data professionals have discovered, integration can easily become the main bottleneck to get to the insights. Gartner estimates that through 2022, integration will consume 50% of the time and expense of building a digital platform. But this bottleneck doesn’t have to exist—if we start thinking about data integration strategically from a business lens rather than a collection of technical processes. In this paper, we’ll provide insight and advice in