Data Management in Oil & Gas
A practical webinar on why data quality and legacy complexity keep blocking platform adoption and which operating model makes sustainable progress possible
Speakers
Magomed Merzhoev
Head of Oil & Gas department, Andersen
Magomed works in the intersection of business strategy, technology and delivery design, helping shape practical solutions for complex industrial environments.
Roman Novik
Head of Data and FinTech practice, Andersen
Roman has 23 years of enterprise tech leadership across FinTech, cloud, AI and platform architecture, and has driven large-scale digital and data transformations.
Ahmed Musawi
Digital Transformation Manager, Andersen
Ahmed Musawi worksat the intersection of digital strategy, enterprise solutions, and client engagement to help organizations modernize and unlock value from technology.
Agenda
Intro & Welcome word
Ahmed Musawi
Andersen
What makes data quality and platform adoption work
- Progress becomes sustainable only when the platform stops absorbing problems that belong to delivery and operating discipline
- Clear ownership, change review processes, and pushing issues back to their source — rather than patching downstream — change how the programme behaves
- Data quality must improve through normal working practice, so adoption no longer depends on constant recovery effort
Magomed Merzhoev
Andersen
Why data programmes stall in Oil and Gas
- The real strain appears after initial platform work is complete, when the programme must survive inside the existing landscape
- Every serious change exposes hidden dependencies, shifting the data problem into day-to-day delivery
- The bottleneck usually sits beyond the platform itself — not in the technology
Roman Novik
Andersen
Q&A session
Closing remarks
What to expect
Oil & gas companies modernise data, but trust and stability don't follow. After each implementation wave, changes trigger fixes, delays, and workarounds. This webinar reveals why the pattern repeats and how to make platform progress permanent, not temporary.
Why data programmes stall even after cloud migration and platform investment.