Quick overview

Most brands in the digital world have matured their tech stack faster than the data management architecture that the stack sits on. This gap is antithetical to every performance KPI, which is why it needs to be closed. Data translates into business value by optimizing (or building) connections between all components, like data warehouses and lakes, NoSQL, Hadoop, cloud computing, and more.

Things to consider

When customers interact with your brand across multiple devices and channels, data from each source is often isolated and lacks the context of related sources. This reduces your ability to accurately measure and develop strategic marketing insights.

Our data management experts remedy the problems of decentralized data and future-proof your infrastructure so that end users can access validated and reliable data without exposing your brand or customers to data loss, compromise, or corruption.

Highlights

• It’s very likely that your technology architecture has outpaced your data architecture, which exposes you to potential breaches and an inefficient end user experience.
• Data silos in digital marketing are common, and often cause highly relevant marketing data to be overlooked during key moments of analysis and strategic assessment.
• Data management is not solely the domain of your IT department. It’s a less glamorous but significant element of a holistic marketing solution.