The data supply chain, or as we call it the data manufacturing pipeline, starts from various sources like websites, social networks, mobile apps, enterprise applications, customer interactions and more. Then moves into a big data architecture to manage and process the volume, variety, and velocity of data.
We’ve talked a lot about the benefits big data can offer companies, from improved reporting to a better bottom line with Customer 360. So the benefits listed out below are nothing new, the change is the context. This is the key to success; moving from thinking about data as a thing to manage to thinking about data as an asset to be used.
In the context of a data supply chain, data is created, gathered, imported and mixed together. Each step of the way as data flows and transforms, it acquires incremental value. The end results are valuable insights not previously achievable with siloed data. A few benefits:
Big Data projects can be rather daunting, but with the right expertise and tools your company can achieve results. However, rather than focusing about the biggest obstacles of taking on this sort of digital transformation, we recommend starting off looking for smaller victories to build momentum. Here’s a plan to unleashing the value of your data by treating it as a supply chain:
Unfortunately building your data supply chain isn’t easy, as each company has their own set of components and needs. But it is one of the most rewarding journeys companies can make in their transformation to become truly data-driven.