Can’t afford to build the IT architecture to support big data applications? For small and mid-sized companies, it comes down to making sure you determine your data goals and start small. These organizations need to be sure the data they’re analyzing is high quality (or this whole thing will be an exercise in futility); hire internally or externally to place highly skilled data scientists at the helm of these projects; and get buy-in from both superiors and underlings that it’s time for a change, and change is good.
The tax or finance department in particular should be made to understand that while this may be time-consuming to implement, it will result in many operational efficiencies that will eventually make their jobs much easier.
That’s the promise of big data: being able to breathe easier even as the information you’re handling gets more complex. And with the right people, processes and tools in place – i.e. information mobility – businesses can harness this data to make tax season seem a little bit brighter.