Data Strategy Consulting: from Data to Real-World AI Outcomes

Integent's data strategy consulting services connect your business goals to a practical data platform.

We help organizations organize their data, define high‑impact AI use cases, and implement solutions that support decision‑making and day‑to‑day work – using leading cloud and AI platforms.

We combine strategic advisory, technical delivery, and adoption support to turn data and AI from experiments into everyday tools for your teams.

Data & analytics strategy aligned with your business goals.
Modern data platforms, reporting, and AI assistants built on enterprise‑grade tools.
Practical governance and change management so solutions stick.

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The challenges we address

Most Data & AI programs fail for predictable reasons: data is fragmented, reporting is inconsistent, and AI adoption lacks clear ownership and guardrails. We help organizations tackle the barriers that prevent measurable business value:

✓ Fragmented data landscape: critical information lives across systems, spreadsheets, and documents, resulting in conflicting definitions and no shared baseline.

✓ Slow, manual reporting: business reporting becomes a cycle of extraction, reconciliation, and rework — making insights late and decisions harder.

✓ Unclear AI direction: AI and Copilot tools exist, but without a roadmap, governance, and accountable owners, use cases don’t translate into scalable value.

✓ Risk and compliance constraints: security teams need strong controls, auditability, and access management before enabling AI safely.

Outcome: limited trust in numbers, slow execution, and AI pilots that don’t scale. We turn this into a governed foundation and an execution path toward ROI.

How we work

We follow a simple, repeatable approach that connects your business challenges with practical data and AI solutions. Each step is designed to reduce risk, create quick wins, and build a solid foundation for long‑term value.

Assess – focused discovery, stakeholder interviews, and a review of your current data landscape, architecture, and AI maturity to understand where you are today and what is realistically achievable.
Design – a clear, prioritized roadmap that defines use cases, target architecture, governance model, and quick wins so you know what to do first and how each initiative supports your business goals.
Build – implementation of pilot solutions and data products with measurable outcomes, transparent success criteria, and hand‑in‑hand collaboration with your teams to ensure knowledge transfer.
Scale – roll‑out of successful patterns across the organization, continuous improvement, and ongoing governance so that data and AI become a sustainable capability, not a one‑off project.

For organizations looking for a more focused AI implementation offer, explore Copilot & AI Agents for AI readiness, governance, Microsoft Copilot enablement, and custom AI agent delivery. For a working example, see AI invoice validation in Microsoft 365.

What we do

Our work is primarily based on the Microsoft ecosystem (Azure, Fabric, Power BI, Copilot) and integrates with your existing systems.

Data Strategy &
Governance

We assess your current landscape, define a target architecture, roles, and policies, and build a pragmatic roadmap for your data and AI capabilities.

Modern Data Platform &
Analytics

We design and implement data platforms, semantic models, and dashboards that provide reliable, timely insights for leadership and operational teams.

AI Use Cases &
Assistants

We identify and prioritize AI use cases, run pilots, and deliver assistants and automations that solve specific business problems rather than just showcase technology.

Change Management &
Adoption

We help you embed new ways of working through training, enablement, and governance so that teams actually use the solutions you invest in.

Microsoft Fabric and Databricks consulting

We design and build lakehouse platforms on Microsoft Fabric or Azure Databricks.

Lakehouse on Fabric or Databricks

Ingestion from ERP, MES, project and finance systems, a governed data model, and Power BI on top.

Data warehouse modernization

If your current data warehouse is slow or expensive to change, we modernize it in phases, so reporting keeps running during the move.

Fabric or Databricks?

See our data lakehouse reference architecture, including when to choose Databricks or Fabric.

Data strategy and Microsoft Fabric FAQ

What is Microsoft Fabric vs Power BI?

Power BI is the reporting part of Microsoft Fabric. Fabric adds data engineering, pipelines, a lakehouse and a warehouse on one platform, so data preparation and reporting live in the same place.

Should we choose Microsoft Fabric or Databricks?

Fabric suits teams centered on Microsoft 365 and Power BI that want one managed platform. Databricks suits heavier data engineering and data science workloads. We compare both on your data and team before you commit.

What does data strategy consulting include?

An assessment of your data sources and reporting, prioritized use cases, a target architecture, governance and ownership, and a phased roadmap with costs.

How much does Microsoft Fabric cost?

Fabric is billed by capacity size and usage, so the cost depends on data volume and workload. We size the capacity during the assessment.

The team at Integent has been extremely helpful in our growth with Microsoft Project Online. We couldn't have done it without them. Thanks again for everything you do!

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Get in touch

If you would like to discuss your needs, ask a question, or explore how we can help, leave your details and we’ll get back to you.

Over 15 years of experience supporting business and technology teams.

1.800.895.3254

[email protected]

8300 Cypress Creek Parkway, Suite 450 PMB 5351
Houston, TX 77070

Business Hours:
M-F 8:00 am to 5:00 pm Central

Schedule A Consultation

Have a question or need you would like to discuss? Schedule a meeting and let's discover together how Integent can help your organization succeed with Microsoft technologies.