For years data and analytics buyers have been managing a difficult set of tradeoffs. They know they need to invest in solutions to drive their businesses and data strategies forward. In fact, every third-party survey shows they plan to do so well into the future. However, customers have struggled in how to balance cost and value, and getting a clear answer isn’t always obvious or easy.
Manufacturing is undergoing a massive transformation. Driven by technological advancements that generate vast amounts of data. The industry is moving towards becoming smarter, more sustainable, and services driven. The fragmented nature of manufacturing’s data architecture however, has created barriers to realizing the full value of data, with many projects stalling at the Proof-of-Concept stage.
The data we generate, store, and share is growing exponentially as the world inexorably digitizes. With the global data sphere expected to double in size by 2026 as organizations and consumers increasingly go online, automate, and digitize processes, the right tools are required to mine this massive trove of valuable data coming from a widening and diverse pool of sources globally. The competitive edge gained by rapidly converting complex data into business insights is a crucial growth driver.
