Enterprise Data Strategy

Modern enterprises need more than data—they need a scalable, governed, and business-aligned data strategy that drives transformation. On Point BI delivers enterprise data strategy services that unify architecture, governance, analytics, and AI readiness across Microsoft, Snowflake, and Databricks platforms. We help organizations modernize legacy systems, align data investments to business outcomes, and build a future-proof foundation for enterprise analytics and AI adoption.

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Why We Do It

Most organizations struggle with fragmented data, legacy systems, and inconsistent data quality that limit analytics, reporting, and digital transformation. We build enterprise data strategies to help leadership teams create a unified, trusted, and scalable data foundation. Our goal is to align data investments with business priorities, accelerate cloud modernization, and enable high‑value analytics that improve decision‑making, operational efficiency, and long‑term competitiveness.

How We Do It

We partner with executives and technical teams to design a comprehensive, future‑ready data strategy that supports enterprise growth. Our approach includes assessing current data architecture, identifying modernization opportunities, strengthening data governance, and defining a cloud‑optimized roadmap for scalable data platforms and analytics maturity. We create actionable plans that improve data quality, streamline data operations, and position the organization to leverage modern data warehousing, real‑time insights, and advanced analytics with confidence.

When Your Data Strategy Is in Expert Hands

On Point BI puts your data strategy in expert hands—guiding, shaping, and building the modern foundation your enterprise needs.

1

Data Landscape Assessment & Strategic Alignment

We evaluate your current data estate — SQL Server environments, legacy warehouses, ETL pipelines, governance maturity, and reporting tools — to identify modernization opportunities and align them with business priorities. This creates a clear, actionable baseline for cloud transformation.
2

Modern Data Platform Architecture & Cloud Design

We design a scalable, cloud‑optimized architecture using the Microsoft data platform. This includes defining ingestion patterns, storage layers, governance standards, and the future‑state warehouse model.
3

Data Ingestion, Migration & Warehouse Modernization

We modernize legacy ETL, migrate workloads to the cloud, and build a high‑performance data foundation. This ensures reliable, scalable, and cost‑efficient data operations.
4

Enterprise Analytics, BI Modernization & Operationalization

We enable business‑ready insights through modern BI, semantic modeling, and operational best practices. This empowers teams with trusted, governed, self‑service analytics.
5

Optimization, Governance Maturity & Continuous Improvement

We ensure the platform remains cost‑efficient, scalable, and aligned with evolving business needs. This includes governance maturity, FinOps practices, and ongoing platform optimization.
6

Value Realization, Insights Activation & ROI Measurement

We help leadership quantify the impact of their modern data strategy—measuring performance gains, cost savings, and operational improvements to clearly show the value and ROI created.

Ready To Put Your Enterprise Data Into Our Focus?

Let Us Become Your Trusted Partner