Diving Into Enterprise Data Strategy With Samsung Research’s Prashanth Rajendran

A well-developed data strategy is crucial for businesses to manage their data assets effectively and achieve their objectives. Key considerations include defining a vision for data, assessing current data assets, determining the right technology and tools, and building a data-driven culture. Creating a data moat involves identifying valuable first-party data sources, enriching existing data with external sources, and prioritizing data engineering efforts. To measure the ROI of their data strategy, companies should run data teams as profit centers, build an incremental roadmap, and avoid overspending on infrastructure. A successful data initiative requires a cultural shift within an organization supported by strong leadership and a clear vision.