Data and Analytics Strategy Advisory
We help data leaders build operating models around data products, select platforms suited to their scale and strengthen the governance that makes data trusted across the business.
Our research covers data operating models, architecture and governance, sustainability and ESG data, and the use of analytics in operations.
Questions we help answer
- Should we organise around data products?
- Which data platform architecture suits our scale and capabilities?
- How can we measure and improve trust in our data?
- What is required to scale analytics across business units?
Common questions
Do you recommend data mesh?
Where governance and ownership are adequately resourced, data mesh can work well. Our research shows that it is less successful when treated solely as an architectural change.
Can you review our data strategy?
Yes. A data strategy review typically takes two to four weeks and concludes with a prioritised plan and the evidence supporting it.
Do you cover sustainability and ESG data?
Yes. Our coverage includes the systems and data behind BRSR and BRSR Core disclosures and the evaluation of carbon accounting platforms.
Speak with this practice
Contact the data and analytics teamIndustries we apply this to
Research from this practice
Filter the libraryData products over data lakes
Why product thinking is replacing platform-first data strategies, and the operating model changes it demands.
Vernacular commerce: designing for the next wave of online shoppers
An early view of how language, voice and assisted buying are changing digital commerce beyond India's largest cities.
Carbon accounting platforms: a buyer’s evaluation
A context-filtered evaluation of carbon accounting platforms for BRSR and global disclosure needs, built on Krynthnode's Decision Lattice.