Data maturity
Data is the new oil. All businesses, big or small, need to understand and adopt a data-driven approach in order to stay competitive.
Data maturity is the concept of how mature an organization’s data strategy and data culture are. It is measured through a set of questions that assesses the company’s understanding of its own needs and current capabilities in relation to data, as well as its desired future state.
A company’s maturity level will determine how it should approach their data strategy. If they are at a low level, they will need to take steps towards becoming more mature before they can implement anything else with their data strategy.
New short course for leaders
As some of you might know I am the CEO of the Tesseract Academy, a company whose mission is to educate leaders on everything relating to AI, data science and blockchain.
We are very proud to be announcing a new course in collaboration with Sameer Rahman. The course is on data maturity and data strategy.
Sameer has been voted by Data IQ as Top 100 Data leaders and influencers in the UK in 2021 and 2020. He is a visionary data and tech leader with experience in influencing business practices at all levels, as well as a business advisor for start-ups helping them leverage data to do something meaningfully different in the market. He is also the CEO of DataMonet, helping organizations drive commercial value out of their data.
Data maturity, strategy, AI and blockchain
If you are interested in topics such as data science, AI, or blockchain, make sure to get in touch. Our team will be more than happy to help you out and answer any queries which you might have. Also make sure to check out some more free resources by the Tesseract Academy, like our free frameworks, as well as some of our events.