Today's enterprises teeter on the edge of data overload.
Historically, we’ve had a one-track mind when it comes to data: gather as much of it as possible, from as many sources as possible. This relentless stockpiling, however, has turned data from a valuable resource into an embarrassment of riches.
Efforts to manage this unwieldy body of data have resulted in multiple sources of truth, eroding confidence in the data itself. As a result, data quality, governance, and trust have all suffered—affecting decision making at various levels. Recent Gartner® research, in fact, revealed that “44% of D&A functions are effective at providing value to the organization."1 This data alone underscores a significant opportunity for improvement.
For many of our customers, building a new data strategy involves more than just finding new partners or solutions. Instead, it requires a reevaluation of how data is managed on an organizational level, by...
- Auditing your team’s data pain points and goals
- Developing a product management approach to data
- Entering the data marketplace to generate new revenue streams