All posts by Tom Schutz
Good data is a critical part of building a robust business strategy. Organizations use actionable data insight to improve the customer experience, drive operational efficiencies, leverage cost savings, and enhance the bottom line. In fact, the majority of sales decisions are expected to be driven by customer data by 2020.
The appetite and need for data within businesses is continuing to grow at a rapid pace. Organizations are viewing data as a strategic asset and using analytical insights for everything from key business decisions, to the customer experience and more.
However, the methods for managing first-party data and ensuring it’s accuracy have not kept pace with the growing data demand. The majority of businesses today are still relying on siloed, departmental strategies for data management that have little data governance or consistency in terms of people, processes, and technology.
Today’s data-driven world creates exciting new opportunities, but also new challenges. Many of us see the promise of being able to make more intelligent decisions by fully understanding our customers and the needs of the marketplace. There are data scientists that can do incredible analysis to give us new insights into areas we didn’t think were possible.
The term big data tends to be overused in business today. While some refer to it as a technology and others a level of insight, it has come to embody many different data actions, from business intelligence, to analytics and data modelling.
We have become so obsessed with big data that we think we have to have this level of insight as a requirement to running a successful business.
Data is one of the most valuable assets in our society and drives many decisions.
For businesses, data can reveal insights about customers and prospects, product trends, areas for investment and efficiency improvements. For consumers, data provides more personalized interactions with brands, including targeted deals or coupons, and geo-location services.