Christophe De Greift shares an article that offers tips on how to focus data analytics on the user.
Alicia and Mateo used to drive to the office and order their purchases from the employee through a handwritten list and cash. The global quarantine changed everything: today they work by videoconference, shop through e-commerce and pay without cash. The generation of data corresponding to this digitization is accelerating at such a rate that the world will probably reach 100 zettabytes of data next year. They can visualize that number with 1 and 23 zeros to the right: 100,000,000,000,000,000,000,000 …
Encouraged by this data explosion, data analytics platform vendors are developing increasingly automated and user-friendly tools. At the same time, most analytical projects fail. I estimate that only 20 to 35% of analytical projects manage to create value and the rest – between 65 and 80% – are never born, show no impact or fail to be sustained over time. The data explosion is accompanied by another: the hours lost by high-income professionals.
The main causes of failure in analytical projects are known and have to do with processes and people, rather than algorithms or technology: the project does not respond to a relevant business problem, it does not achieve the adoption of key users or the ‘buy- in ‘of the’ stakeholders’. The new post-COVID 19 reality exacerbates the problem.
It is urgent to focus data analytics on the user to reverse the situation and thus unleash the economic potential of data, which leads us to the following question: How to focus data analytics on the user?
Key points include:
- Problem solving
- Agile project management
Read the full article, How to focus Data Analytics on the User?, on ChristophedeGreift.com.