Building a Scalable Data Strategy from the Ground Up - Data Ideology
For one of the largest home builders in the US, their Data was holding them back.
The reality is, bad data keep the team stuck in reactive mode.
Data delays and manual report preparation made it impossible to make the best decision when the timing was critical.
  • Too much time spent on manual prep. Analysts were overwhelmed by fragmented data sources, spending most of their time cleaning and reconciling data.
  • No unified view of the truth. Critical decisions were slowed by inconsistent definitions, duplicated records, and reporting discrepancies.
  • Outdated and inflexible tools. Legacy reporting couldn’t keep up with growing data demands or business expectations.
The core challenge? No single source of truth. No modern reporting foundation. No strategic roadmap to scale analytics as the business grew.
"In construction, even data that is behind 24 hours can impact the bottom line."
Toby George, Data Ideology
Insights
Beyond Dashboards – How Enterprise Data Warehouses Power Decision-Making
“Before, it took weeks to reconcile reports across divisions. Now, we have a single source of truth that executives trust every day.”
- Head of IT Services
We started by aligning business priorities, defining ownership, and mapping the current state before recommending any technology decisions.
What they needed was a blueprint for data success.
Current-State Discovery
Uncovered the real challenges slowing down reporting and decision-making.
We created a clear, objective view of the client’s data environment to quantify gaps and align stakeholders.
  • Conducted in-depth interviews across business and IT teams to capture pain points and workflows.
  • Cataloged and diagrammed all data sources, integrations, and repositories for full visibility.
  • Benchmarked organizational data maturity to identify strengths, gaps, and opportunities.
“Our goal in discovery was to capture the real-world challenges—straight from executives and analysts—so the roadmap would be grounded in reality, not assumptions.”
Mike Sargo, Data Ideology
Insight
The Crucial Role of Culture and Organizational Change in Adopting a Data Strategy
Future-State Architecture & Business Case
Designed a modern data foundation aligned to business needs, not just technology trends.
We defined ownership, governance, and architecture—then mapped investments to outcomes executives care about.
  • Aligned on data domains, definitions, and ownership structures for enterprise-wide consistency.
  • Designed a future-state architecture with scalable platforms:
    • - Fivetran for automated data replication
    - Snowflake as a cloud-native warehouse
    - Azure Data Factory for orchestration and transformation
    - Power BI for interactive reporting
  • Created visual diagrams and logical models to guide executive decisions.
  • Delivered a full business case with cost estimates, timelines, and initiative sequencing.
“Our role was to translate technical possibilities into a business case that leadership could confidently invest in.”
Toby George, Data Ideology
Insight
How to Choose the Right Data Governance Tools for Your Organization
Roadmap & Execution Planning
Built a phased roadmap that leaders could act on immediately and scale over time..
We provided a practical, outcome-focused plan with governance and metrics to track progress.
  • Formalized a phased, actionable roadmap for prioritization and tracking.
  • Documented governance models, ownership structures, and success metrics.
  • Ensured executive alignment by packaging outputs into a strategy that unlocked investment and accelerated delivery.
“We knew a strategy only works if it’s actionable, so we built a phased roadmap that leaders could execute on day one."
Toby George, Data Ideology
Insight
How to Build a Data Strategy Roadmap
Construction companies produce about 2.5 quintillion bytes of data daily, yet they typically collect and analyze only one‑third of the data types captured—meaning much of this information goes unused.
Kreo Software
Clear Outcomes That Enabled Faster, Trusted Decisions at Scale
The engagement delivered measurable results, giving executives confidence in reporting, governance, and long-term growth readiness.
Documented the complete current-state data architecture — all systems, integrations, and domains captured in one source.
Benchmarked organizational data maturity — used to justify platform investments and secure executive buy-in.
Delivered a clear, phased roadmap — aligned to business priorities, resources, and near-term value.
Finalized technology stack selection — modern cloud-based tools chosen for scalability and flexibility.
Established a blueprint to cut manual reporting time by up to 50% — freeing teams to focus on analysis, not prep.
What Made This Different
Many firms offer "data strategies." Few go as deep.
  • We made it visual. Architecture diagrams, maturity models, and system maps helped align executive and technical stakeholders.
  • We kept it business-first. Everything tied back to ROI, risk reduction, and usability—not just tools.
  • We built trust. Through structured interviews and cross-functional workshops, we helped teams align on what matters most.
Talk with our experts about your Data Strategy.