Join our leadership survey on Data Platform Modernization

1. What does a “modern data platform” mean to you?

A scalable foundation for real-time decision makingA cost optimized, cloud native replacement for legacy toolsA future ready platform that supports AI and innovationA regulatory and compliance enablerStill figuring

2. If given a 4 week window to formulate a modernization strategy, what would be most helpful to accelerate a data platform strategy?

A comprehensive inventory of workloads, tools, and dependenciesA modernization readiness scorecard across business and IT teamsA migration roadmap tailored to budget, licensing, and timelinesA list of high risk blockers and cost saving quick winsDon't know, we need help figuring out where to start

3. What's the biggest challenge you've seen or foresee in a data modernization journey?

Replatforming legacy systems without disrupting operationsHigh licensing costs for aging tools with limited ROIIntegration of siloed systems and inconsistent data flowsSecurity, compliance, or data residency concernsManaging cloud costs and value realizationBusiness resistance to adopting GenAI or analyticsLack of real time, actionable insights from data

4. How visible is data platform modernization on your leadership radar right now? *

Core priority – tied directly to improving CX, efficiency, and growthHigh – being explored with urgency but decisions still pendingModerate – some modernization done, but primarily incrementalLow – no urgency, legacy systems still serving the purposeReactive – driven by licensing renewals or vendor pressure

5. Where’s the skills shortage showing up the most for modernization? *

Cloud native architecture and migration expertsCost optimization or FinOps for data environmentsGenerative BI or AI model buildersReal time streaming and event driven architecture skillsData governance and security SMEsBusiness teams equipped to consume and trust self serve insightsTeams able to drive change beyond just IT

6. What is your view on GenBI (automated, conversational analytics)? *

Game changer – already integrating or scaling itExploring – evaluating use casesSeen demos – intrigued but not prioritizedSkeptical – unclear value or too early to investNot on our radar yet

7. What’s pushing modernization forward in your world right now? *

Rising legacy licensing or vendor lock inRegulatory demands (privacy, audit, compliance)Customer demand for personalized, real time experiencesCompetitive pressure from more agile playersInternal demand for AI and GenBI adoptionCloud transformation mandates (or cloud exit strategies)

8. How confident are you in decision making based on your current data ecosystem?

Very confident – we have clear documentation, visibility, and trust in our dataSomewhat confident – partial visibility and decision making varies by domainNot confident – visibility is limited and insights are not actionableWe have data – but decisions are still gut driven

9. What’s driving or holding back your data platform modernization initiative?

Pressure to innovate and stay ahead of competitorsNeed for faster, more accurate decision-makingCost or performance limitations of legacy systemsSecurity, compliance, or data residency concernsUncertainty around migration risk or business disruptionLack of internal skills or bandwidthOther (please specify)

10. What business outcomes do you expect from a modernized data platform?

Improved operational efficiency and cost optimizationFaster time to insight and decision-makingStronger compliance, governance, and data qualityGreater agility for AI, GenAI, or ML initiativesEnhanced customer experiences through personalizationImproved collaboration between business and IT teamsMeasurable revenue growth or new business modelsReduced cloud spend through optimization

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