Move Forward with Data-Driven Improvements
Christophe De Greift provides a post designed to help you get it right with these five tips for a more data-driven 2021.
2020 accelerated several trends and one of them is the need to be ‘data-driven’ in decision making. From vaccine testing to last-mile logistics in e-commerce, data analytics is part of the path to making the right decision and generating value.
Having collaborated and talked with dozens of Peruvian companies this year on their greatest analytical challenges, I share below my recommendations for a 2021 full of analytical successes.
Turning data into value requires such a diversity of knowledge and skills that it cannot be achieved without effective teamwork. However, collaboration in analytics does not occur naturally, as the business user seeks a practical solution to their problems and does not know about machine learning, while the data scientist prioritizes rigorous analysis and knows little about the business. A solution that several Peruvian companies have successfully implemented is the incorporation of an Analytics Translator to the team , connecting business users and data scientists.
- Strategy second
I have been a staunch advocate of strategic planning for business, despite mounting criticism. Data analytics also requires a plan, but that doesn’t mark the beginning of the analytics journey. Indeed, a minimum of knowledge about artificial intelligence, data governance and technology is required to think strategically about analytics and an organization must experiment first to develop this knowledge. An online course is not enough. If you are just starting out, choose a use case following the advice in the next point.
- Overcoming cognitive impairment
- Using minimal viable outsourcing
- Moving with speed
Read the full article, 5 tips for a more ‘data-driven’ 2021, on christophedegreift.com.