When it comes to analytics solutions, centralization versus decentralization is one constant tension that’s plagued data architects for years now. Both options offer their own sets of advantages and disadvantages, as well. Centralized data design means building a data tool set controlled by a single IT department that serves external business units. This provides organizations with control, uniformity, simplification, and security. Decentralized data allows business units to be the owners of their data needs. This gives companies more flexibility, speed, and unique system designs to meet users’ needs.
It’s no wonder why discussions involving cross-departmental data often involve a forceful and adamant pull between these two valid approaches to one of the most valuable assets a business can hold. When all is said and done, the issue is almost always rooted in trust.
Article written by Josh Miramant, published on cloudtweaks.com