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.
How to master data governance
31-Mar-2021 13:55:09 / by Sarah Parker posted in Government Tech, DataOps, Government Digital services, data analysis, data-driven intelligence
Making RPA smarter with AI
19-Nov-2019 08:14:00 / by Keith Morley posted in Data Science, Intelligent Automation, data analysis, Cognitive RPA, Deep Learning
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: business analytics for decision makers
02-Oct-2019 15:32:03 / by Anjali Sohoni posted in data analysis, analytics practice, data modelling
Data Science or Analytics is an 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.