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DATA & AI

Enterprise Data & AI Built for Smarter Decisions and Scalable Operations

We help enterprises unify and govern their data, build AI-ready foundations, and apply Power BI, Copilot and intelligent automation to sharpen decisions and lift performance across ERP, CRM and operations.

The challenge

AI Is Only as Reliable as the Data Beneath It

Most enterprises already hold valuable operational data but it’s scattered across ERP, CRM, spreadsheets, cloud apps and reporting tools.


Without a unified, governed foundation, reporting stays slow, forecasts stay unreliable, and AI initiatives produce inconsistent results that never scale.


Microdot helps you centralize, govern and activate that data on Microsoft’s analytics platform so AI has a foundation it can trust.

Capabilities

Data Capabilities That Build Toward AI Readiness

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Data Engineering

Pipelines, ingestion, transformation and quality checks that unify enterprise data into a reliable foundation.

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Data Warehousing

Centralized, clean, governed and analysis-ready data for reporting and enterprise intelligence.

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Business Intelligence

Dashboards, KPI models, executive views and operational reporting on data your teams can trust.

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AI & Predictive Analytics

Models, forecasting, anomaly detection and recommendations applied to your business data.

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Real-Time Data Processing

Live data streams and event processing for faster operational visibility.

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Microsoft Fabric & OneLake

A unified data foundation that eliminates silos and makes enterprise data AI-ready.

Connected data flow

From Raw Sources to Confident Decisions and Automated Action

One governed pipeline that turns scattered operational signals into trusted insight, then into Copilot- and AI-driven action.

Microsoft Data Ecosystem

Built on the Microsoft Data & AI Platform

We deliver on familiar, enterprise-grade Microsoft technologies connecting data services, reporting, AI and business applications into one governed analytics foundation.

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Power BI

Interactive dashboards, KPI models, executive reporting and governed self-service analytics.

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Microsoft Fabric

A unified SaaS analytics platform combining data integration, engineering, warehousing and Power BI on one OneLake foundation eliminating silos and simplifying enterprise BI.

Use Case

Data & AI in Action Across Enterprise Environments

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Manufacturing Analytics

Improve production visibility and quality decisions.

Track downtime, output, inventory signals, quality exceptions and maintenance patterns in unified plant dashboards.

Customer Data Insights

A richer view of customer behavior and value.

Combine CRM, service, transaction and engagement data to understand customer health, risk and next-best actions.

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Sales Forecasting

Forecast revenue with cleaner pipeline intelligence.

Use historical performance, deal movement and engagement signals to improve planning and forecast confidence.

Operational Dashboards

Operational data as daily management visibility.

Connect process KPIs, productivity, SLA trends and financial signals into reporting that drives faster decisions.

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Ready to Build Your Enterprise AI Foundation?

Start with a practical AI-readiness roadmap that connects your systems, governs your data and maps your highest-value analytics and AI opportunities.

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Frequently Asked Questions

  • With discovery: mapping your data sources, identifying high-impact use cases and defining a governed foundation. We then build incrementally pipeline, warehouse, first reporting layer before layering AI on top.

  • Yes. We routinely integrate Dynamics 365, SAP, Salesforce, NetSuite and other operational systems into Azure- and Fabric-based data platforms, using both batch and streaming patterns.

  • AI extends BI from descriptive (what happened) to predictive and prescriptive (what will happen, what to do next) powering forecasting, anomaly detection, segmentation and Copilot-style natural-language access to your data.

  • Power BI, Azure Synapse and Fabric, Azure Data Factory, Azure Machine Learning, Azure OpenAI, and Microsoft Purview for governance.

  • Yes by design. We use governed lakehouse patterns, role-based access and infrastructure-as-code, so platforms scale from a single department to a global rollout.

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