A national retail grocer needed a more cost-effective, streamlined solution to capture all types of data and shape that data into business insights to drive outcomes. With its existing solution, the client used third-party vendors to support new types of data sources. Additionally, this data was not processed in a usable, curated way so it was a challenge to derive the meaningful insights necessary to make smart business decisions.
Since an on-premises solution requires internal resources and associated costs to manage, it wasn’t the most efficient option regarding scalability. Instead, the company needed an enterprise DMP to serve as the backbone for collecting and standardizing data at scale in the cloud. This unified ecosystem of data management and data science would differentiate the organization by infusing data-driven business and customer insights directly into its decision-making process.
The ABCs of enterprise DMP
A functional enterprise data management platform provides a centralized, standardized system for collecting, organizing and analyzing large sets of data from disparate sources — and in disparate formats. To accomplish this, DMPs integrate a wide range of rapidly evolving technologies and data from across an enterprise environment, including its cloud-first strategy and modernization initiatives such as Ascend and Tally. A variety of connection points enable employees to more easily access and consume key data assets across all data patterns, including real time and batch processing.
In addition to increased accessibility, an effective DMP offers a one-stop shop for high-quality data where consumers can trust they are using a “single version of truth” to inform business decisions.