Data literacy is a key enabler of the value and impact from data. How are you approaching this within your organisation?
Data literacy is being tackled at different levels within NXP:
- For the data professionals (within IT, data teams, and most importantly within data domains) via a community of practice, an example being data scientists, data stewards, and data engineers sharing best practices. This enables everyone to speak the same language and to organise the same way across the organisation;
- Via a citizen movement. Data science is what we have started with, with more than 250 citizen data scientists in the past three years from all domains;
- With our data analytics academy, we have combined three different initiatives into one. Delivering data training to employees in the domains (sales, manufacturing, supply chain, etc.) on our different platform;
- Via content available on SharePoint, to understand what artificial intelligence (AI) and generative AI is, the policy, etc;
- Via Yammer posts, bringing topics like why we need a data strategy, or about data mesh into everyone’s language;
- We also recently started exposing the executive committee to generative AI use cases and different types of large language models. This was mainly on three aspects: where we need to focus to capture the value, what does it mean for our way of working (transformation), and lastly how do we need to upskill, reskill, and hire the right talents.