Data governance is not an IT strategy. It is a business strategy—an essential enterprise wide initiative that enables faster decisions and improves data quality. In the Public Sector, data governance must bring together key stakeholders across business and IT to link to enterprise outcomes and priorities. In this post, we’ll explore why data governance is important and explain how to implement it effectively in the public sector.

To leverage the many opportunities offered by new digital technologies, enterprises are changing their approach and adopting an “automation-first” mindset. RPA is usually the first step on their automation journey, providing highly effective process automation, integration and increased productivity. However, it still relies on the “human touch” to interpret unstructured data, provide conversational understanding and decision-making. To move towards full automation, solutions need to be smarter.

Data Science or Analytics is the art of leveraging data streams to improve decision-making. It uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.