Operationalising Data Governance: Turning theory into a reality
Watch On-Demand – Register to watch on-demand
Date: Previously live on 10 May 2023
Although the benefits are clear, many organisations struggle to implement a successful data governance strategy. Findings from our State of Data Governance 2022 report that gathered insights from 900 c-level data leaders noted a lack of expertise (38%), difficulty justifying the business case (38%), sourcing effective tools (37%), gaining executive support (33%) and justifying the cost (32%) as the obstacles they face to do so.
In this fifth and final episode of our webinar series, we’ve brought together a group of senior data leaders to discuss how to realistically garner support, effectively implement and operationalise a data governance programme in today’s business-centric world. With experience and skillsets at a premium, we explore the practical options that organisations have to transform raw output from their governance toolsets into tangible business outputs.
Join us as we explore how organisations can realistically implement and operationalise their data governance programme today.
About the Operationalising Data Governance Series
Organisations all over the world are finding their data governance efforts are more complex and frustrating than they expected. Without an effective approach, delivering on compliance and business objectives can become a difficult task as Gartner uncovered within their recent report – “The State of Data and Analytics Governance is Worse Than You Think” – which found that a quarter of those surveyed achieved nothing they set out to accomplish with data.
Together with our partners at BigID and Manta, we aim to demystify and practically discuss the ‘what, why, who and how’ to successfully operationalise data governance within organisations in today’s business context.
About our panellists:
Christopher is currently the Field CTO at BigID where he focuses on solving complex data management problems for customers. Prior to this, Christopher led the Inc.-level data initiative at eBay before continuing on in various leadership roles at PayPal within architecture and management.
Christopher is a data leader with broad experiences spanning product development, data management, architecture, operations and compliance. He has a proven track record for building and developing high performing teams and innovative products that lead to competitive advantage.
Jan is currently the VP of Research & Education for MANTA, a data lineage platform that helps companies drive productivity, gain trust in their data, and accelerate digital transformation. By trade, Jan is a data consultant with more than 10 years of experience working on data management and data governance projects. He’s a database engineer by education but had quickly evolved into a recognized integration architect, with clients such as DHL, Thomson Reuters, and Moody’s under his belt.
Before moving to this role Jan was included in business development, particularly in the customer success area — making sure that proofs-of-concept and deployments all over the world are running smoothly. This unique perspective allows him to understand each customer’s complex story — their business needs on one side and technical background on the other.
Lee is the co-founder and COO of Nephos Technologies, a consultancy-led data systems integrator focused on helping organisations unlock their data’s hidden value and unrealised potential. Together with Michael Queenan, Lee co-founded Nephos to help customers transform the way they store, process, govern and protect data; challenging them to think differently about one of their most valuable assets. Through his leadership, Lee has guided Nephos to successfully support multi-national organisations, attain multiple industry recognitions and exponentially expand the company.
For a quick dive into the webinar’s key takeaways, visit our summary blog:
- Data Governance: The undervalued element of a data strategy – On-demand
- Discovery and Classification: The pillars of data governance – On-demand
- Privacy Management: Applying appropriate controls – On-demand
- Technical Lineage: Increasing productivity & building trust in data – On-demand
- Operationalising Data Governance: Turning theory into a reality – On-demand