In this post, Louise shares an overview of 5 of the key elements that make up the new European General Data Protection Regulation, and considers the financial impact if businesses get this wrong.
I presented at a Data Governance Roundtable for Experian Data Quality, where most people involved were doing their first ever data governance implementation. The main talking point - how do you find the right data owner?
James Marrable, host of our recent client summit, gives an overview of the most interesting themes from the day's presentations. He looks in particular at why data analytics relies so heavily on data quality and the opportunity that self-service is bringing to organisations.
Our recent roundtable focussed on how data governance can help accelerate your data quality initiatives. Nic, our Data Quality Director, shares his key takeaways from this extremely popular event in our roundtable series.
At the heart of the definition of data governance, is the word “management”, and for me it is very evident that data governance needs technology to provide the oversight of data processes, the related planning activities and monitoring of actions and outcomes.
We kicked off the latest roundtable season on 12th August with a discussion based on ‘data quality maturity’. We were fortunate to be well represented by customers across a variety of sectors from Financial Services and Local Government to Retail and Charities from whom I wanted to share the five insights I found most fascinating.
With regulatory deadlines fast approaching there is a general consensus amongst the G-SIBs that full compliance with new Basel Risk Principles by January 2016 is unlikely. Financial Data Management expert James Phare asks whether a change in approach and tooling might help those struggling to demonstrate compliance in this challenging area.
Data ownership is now an increasingly hot topic among those in charge of data quality within the business community. This article looks at how in today's data driven world most of us have some sort of relationship with it. Janani considers how different data quality roles interact and how to define responsibilities and ownership in a way that contributes to the wider organisational goals.
*As featured by Computing
With data moving higher up the business agenda we’re seeing pressure mounting on those responsible to deliver on its demands. As a result, a number of challenges have emerged for both Chief Information Officers (CIO) and Chief Data Officers (CDO) alike, caused by a lack of suitable technology that’s ultimately having a time and cost impact on resources, their ability to support each other and deliver on data strategy.
In the last few years, businesses across the UK have come to realise that data management has become a mission-critical concern, regardless the sector in which they operate. Indeed, as more and more business functions go digital and online revenues continue to grow, it is clear that data quality management is becoming more important than ever before.
To shed light on this trend, we recently published our annual Global Data Quality Research discussion paper for 2015, which highlighted a number of the key trends that are guiding current efforts to extract the greatest value from business data.