During the latter part of the 20th Century, leading manufacturers transitioned from pushing production through the factory to the warehouse, to pulling production through to meet market demand. The emphasis moved from stocks to flows, and this history is instructive for our working with data today.
Our relatively recent facility to harvest previously unimaginable quantities of data – the word big doesn’t really do it justice – invokes ideas of stocks. Compounded by phrases such as data warehousing. The term data lake conjures up a relatively static body even if there are flows in and out, and it’s not for nothing that one pundit interviewed by PwC describes some such initiatives as data graveyards. Just about as static as you can get!
It is then time to make the data supply chain real. Instead of having deliberate strategy push services onto the business, we need to help the data flow with the emerging needs of the business by allowing it to express and expose itself, guided by the right (ie, not necessarily techie) people in the organization.
Importantly, this process doesn’t entail some massive, long-term overhaul. We believe in agile, iterative development with fast results that fuel enthusiasm and further progress. Start now with our Data Lab.