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idataraya
idataraya

Data Strategy.

A plan for what to measure and why it matters.

Before building dashboards or pipelines, we help you define the data your business requires. Strategy engagements produce a prioritized roadmap covering which metrics matter, where the data resides, what is missing, and what to build first.

  • Data maturity assessment and gap analysis
  • Metric framework tied to business objectives
  • Prioritized implementation roadmap
  • Team structure and hiring recommendations
Data maturity · by domainGap analysis snapshot
InfraPipesGovToolsTeamSalesOpsFinHR
Phase 1 · close HR + Ops gaps
strategy · quarterly briefAuto
WhenBoard asks: what does phase 1 buy us?Q2 planning · COO seat
Then
  1. 1Summarise gapsHR + Ops flagged red
  2. 2Cite roadmap6-wk catalog pays for P2
  3. 3Draft metric pack4 KPIs · owners named
  4. 4Share with boarddeck · 11 slides
Answer in 6 weeks · not 6 months
audit · current estateMaterialized
erp · oracleSourceactive · owned rows
pos · proprietarySourceexport only rows
marketing · sheetsSourcemanual rows
warehouse · postgresStoreunder-used rows
28 systems · 6 gaps called out
roadmap · next 6 monthsPhase 1 → Phase 2 → Phase 3
Running
P1 · Cataloging6 wk · funds P2P2 · Warehouse10 wkP3 · BI rollout8 wkP4 · ML pilotoptional
Value realized inside quarter one

From confusion to a prioritized plan.

Data strategy isn't a document that sits in a drawer. It's a roadmap your team can execute, with priorities, dependencies, and realistic timelines.

Audit first, then recommend.

We catalog every data source, tool, and workflow you already run before suggesting anything. Gaps surface against the business objectives you name, not a generic maturity template.

audit · current estateMaterialized
erp · oracleSourceactive · owned rows
pos · proprietarySourceexport only rows
marketing · sheetsSourcemanual rows
warehouse · postgresStoreunder-used rows
28 systems · 6 gaps called out

Roadmap sequenced so phase one pays for phase two.

Each workstream has an effort estimate, a dependency chain, and a business-impact score. Quick wins land in weeks so the budget for deeper work is already earned.

roadmap · next 6 monthsPhase 1 → Phase 2 → Phase 3
Running
P1 · Cataloging6 wk · funds P2P2 · Warehouse10 wkP3 · BI rollout8 wkP4 · ML pilotoptional
Value realized inside quarter one

Metric framework with owners, not orphans.

Every KPI lands with a definition, a calculation, a data source, and a named owner. No metric survives the framework unless someone agrees to answer the phone when it moves.

Metric framework · sign-off
Net revenue · CFOSLO signedsigned
Active customers · COOSLO signedsigned
Gross margin · FinanceSLO signedpending clarification
Retention cohort · CXSLO signedowner TBD
32 metrics · 28 signed · 4 open

Governance written to be enforced, not admired.

Ownership rules, quality thresholds, and access policies expressed as platform controls, not a PDF in a shared drive. The rule and the enforcement mechanism ship together.

Governance rollout · next 8 weeks
Ownership matrix · domain leadsworkshop + sign-off
wk 1
PII classification · scan estateautomated tagging
wk 3
Access review · quarterly cadenceplatform hook
wk 5
Quality SLOs · top 20 datasetscontracts + alerts
wk 7
Rules with teeth · not a policy deck

A strategy document your team can execute.

  • Maturity assessment

    Honest evaluation of your data capabilities across infrastructure, tooling, team, and governance dimensions.

  • Metric framework

    Business-aligned KPIs with definitions, data sources, calculation logic, and ownership for every metric.

  • Implementation roadmap

    Phased plan with dependencies, effort estimates, quick wins, and milestones, sequenced so early phases fund later ones.

  • Team recommendations

    Hiring priorities, role definitions, and build-vs-buy analysis for the data capabilities your business needs.

Ready to talk about data strategy?

Book a discovery call. We will walk through how this fits your business, scope, timeline, and what you will get at the end.