Understanding data and analytics project blockers
Every self-respecting organization recognizes the importance of data. There are a lot of webinars, books, blogs, articles, and so on to be found on the internet. Every one of them actually underlies the importance of data and how it can help to reach a promising future with data-informed decision-making. The truth, however, is that we see little results in practice. Why is it so?—you ask. Is it due to the fact that we use the wrong tools? Do we have poor data quality? Are our expectations too high, or is our company (and even personal) culture behind? In this section, we will discuss four types of data and analytics issues.
Pitfalls in data and analytics projects
Let’s run through a list of pitfalls that occur in data and analytics projects:
- There is no business involvement; it is an IT party.
- Several suppliers (tools, hardware, services) are required, and there is no clear structure.
- When we start...
