Tech Briefing: How to Apply Lean Data Quality Management principles for smarter delivery of risk and compliance reporting

The traditional approach to delivering reporting and insight requirements often relies on well defined project lifecycle methodologies such as waterfall. This involves sequential stages such as achieving sponsorship, capturing requirements, solution design and implementation. 

Whilst a waterfall process works well for projects where the needs are clear it may mean a longer time to market for projects where requirements are evolving.

A proven alternative to waterfall style risk and compliance reporting strategy is to adopt a Lean approach.

During this webinar recording, experienced Data Quality practitioner James Phare of UK based Data to Value demonstrates how a Lean approach leveraging Data Prototyping can be used to simultaneously address Data Quality issues whilst progressing wider project requirements.

The webinar includes practical, real world examples of prototyping risk reporting regulatory submissions using a selection of cutting edge data profiling and data visualisation tools such as X88 Pandora and Tableau, which are commonly used by Data to Value Consultants.

About James Phare

James is a founding partner of Data to Value Ltd, a Consultancy that specialise in applying Lean principles to Information Management.

James has over 12 years experience of working in various data centric roles on both the Buy and Sell sides of Financial Services. After graduating in Economics and Economic History at the University of York James started his career at Thomson Reuters before joining Man Group in 2007 within Operations and Investment Management.

Contact James Phare:

About Data to Value

Data to Value was founded in 2013 in response to what the founders saw as emerging demands for effective, focused and cost conscience Information Management. Gone are the days of extensive data projects with long lead-times, ambiguous or unrealistic objectives and technical deliverables for the sake of technology. Given today’s economic and commercial environment it is critical that solutions focus on the fundamentals of Data Management; proven returns on investment and realistic deliverables. These are the key driving mantras of Data to Value.

Data to Value Website