Bridging the gap between centralized and decentralized data analysis

Companies today often realize they need to become more data-driven to keep pace with market change, remain competitive and optimize profit opportunities. But, choosing the right Business Intelligence (BI) and analytics solution is a challenge. In addition to legacy solutions, the organization can choose between centralized and decentralized platforms, the latter often called desktop data discovery systems.

Neither of these approaches, alone, provides for the scalability, trust and self-service that is necessary to make analytics pervasive throughout the organization. Organizations need one highly flexible solution, which can solve the needs of two types of users. Diverse data needs Traditionally, companies took a centralized approach, focused on creating a shared single source of truth across an organization. The analysis could be driven by the IT team, or a centralized team of data experts could be put in place as a shared service.

Author: Brad Stillwell

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