Data Analytics Consulting

Data-Driven Insights

Unify, shape and operationalize your data to enable faster, trusted decision-making and deliver real-time, meaningful intelligence through governed analytics and data based storytelling. 

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Why Enterprises Choose Concurrency for Data Analytics

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Unify & Shape Your Data

Bring together data from across the organization, clean and structure it to create a single, trusted source of truth for analytics and decision-making. 

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Operationalize Your Data

Put your data to work by embedding it into business processes, enabling real-time insights, automation, and improved outcomes. 

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Data Storytelling & BI Consulting

Transform analytics into compelling narratives that make insights accessible and actionable for everyone, driving better decisions and organizational alignment. 

Common Data Analytics Challenges We Solve

Combine & Cleanse Your Data

Difficulty bringing together and cleaning data from across the organization, resulting in fragmented sources and unreliable analytics.

Embed Data into Business Processes

Challenges embedding data into business processes to enable real-time insights, automation, and improved decision-making.

Transform Analytics into Actionable Insights

Barriers to transforming analytics into compelling narratives, making it hard for stakeholders to access and act on insights.

Data Quality, Governance & Adoption

Ensuring data quality, governance, and adoption across teams to drive trusted, actionable intelligence.

Ready to turn your data into trusted insights?

Data Analytics Consulting Services

OneLake Data Estate
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Create a single, trusted foundation for all your data.

Operational Data & Data Engineering
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Turn raw data into data your business can actually use.

Real-Time Intelligence & Streaming Insights
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Make decisions as events happen—not after the fact.

Semantic Models & BI Storytelling
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Turn analytics into stories people understand and trust.

Report Icon

OneLake Data Estate

Create a single, trusted foundation for all your data.

gear inside of an eye

Operational Data & Data Engineering

Turn raw data into data your business can actually use.

Arrows pointing up signifying growth or improvement

Real-Time Intelligence & Streaming Insights

Make decisions as events happen—not after the fact.

lightbulb with a gear inside of it

Semantic Models & BI Storytelling

Turn analytics into stories people understand and trust.

Data Analytics & Microsoft Fabric Frequently Asked Questions

What are Data Driven Insights?

Data Driven Insights help organizations turn fragmented data into trusted, actionable intelligence. By unifying, shaping, and operationalizing data, businesses can make faster decisions, enable real‑time insights, and align teams around a single source of truth.

Why do enterprises struggle with data‑driven decision‑making?

Most organizations face challenges combining and cleansing data from multiple systems, embedding insights into daily workflows, and ensuring teams trust and adopt analytics. Without strong data foundations and governance, insights remain siloed, outdated, or underused.

What is a OneLake Data Estate?

A OneLake Data Estate is a unified, governed data foundation that brings data from across the organization into a single, trusted environment. It reduces data sprawl, enforces consistent security and quality standards, and enables analytics, AI, and real‑time intelligence at scale.

How does operational data improve business outcomes?

Operational data is shaped and prepared for everyday business use. When operational data is reliable and embedded into workflows, reports, and applications, teams can act on insights immediately—reducing delays between analysis and action.

What are real‑time intelligence and streaming insights?

Real‑time intelligence enables organizations to analyze data as it’s generated. Streaming insights help businesses detect trends, issues, and opportunities instantly, enabling proactive decisions, automation, and faster response to changing conditions.

What are semantic models and why do they matter?

Semantic models define shared business logic, metrics, and definitions across analytics tools. They ensure everyone uses the same KPIs and terminology, reducing confusion and making dashboards and reports easier to understand, trust, and adopt.

What is BI storytelling?

BI storytelling transforms analytics into clear, compelling narratives. Instead of overwhelming users with raw data, BI storytelling helps communicate insights visually and contextually—making it easier for leaders and teams to understand what’s happening and what actions to take.

How does Data Driven Insights support AI and Copilot initiatives?

AI and Copilot are only as effective as the data behind them. A governed data estate, trusted semantic models, and real‑time insights ensure AI tools are grounded in accurate, secure, and relevant data—reducing risk and increasing value.

Who is Data Driven Insights for?

Data Driven Insights is designed for business leaders, IT teams, and data leaders who want trusted analytics, better decision‑making, and scalable foundations for AI. It supports organizations at any stage—from early data cleanup to advanced real‑time intelligence.

Case Studies

01
Accelerating Sales Order Processing with AI-Powered Automation 
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Modernizing Manufacturing Analytics with Microsoft Fabric
03
Accelerating Safety Data Sheet Management with AI and Automation
04
Sustaining Digital Momentum Through Governance and Data Readiness
05
Preventing Costly Downtime with AI and Computer Vision
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Enhancing Manufacturing Efficiency with Microsoft Copilot for M365
01

Accelerating Sales Order Processing with AI-Powered Automation 

A leading industrial manufacturer partnered with Concurrency to modernize its manual, error-prone sales order entry process. By implementing a scalable, AI-driven automation platform built on Microsoft Azure, Dynamics 365, and Power Platform, the organization streamlined operations, reduced labor costs, and improved customer responsiveness. Discover how a phased, value-focused approach delivered measurable ROI and laid the foundation for future AI innovation.

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02

Modernizing Manufacturing Analytics with Microsoft Fabric

A leading industrial manufacturer partnered with Concurrency to overhaul its fragmented analytics environment. By implementing a unified, cloud-based data platform powered by Microsoft Fabric, the organization broke down data silos, empowered business users with real-time insights, and established a foundation for ongoing digital transformation. Discover how thoughtful design, collaborative execution, and robust training led to enhanced decision-making and a stronger data-driven culture.

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03

Accelerating Safety Data Sheet Management with AI and Automation

Concurrency helped a leading chemical manufacturer explore AI-driven solutions to streamline Safety Data Sheet (SDS) authoring, reduce operational risk, and increase throughput—enabling faster product launches and improved regulatory compliance.

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04

Sustaining Digital Momentum Through Governance and Data Readiness

Concurrency partnered with a nonprofit membership association to maintain progress on its digital transformation by empowering product owners, enhancing member experience, and advancing data readiness using Microsoft Fabric.

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05

Preventing Costly Downtime with AI and Computer Vision

Concurrency helped a leading energy and logistics provider eliminate costly sand spills by developing a Computer Vision–based IoT solution that detects open truck hatches and triggers real-time alerts—improving safety, efficiency, and reliability.

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06

Enhancing Manufacturing Efficiency with Microsoft Copilot for M365

A leading process manufacturer partnered with our team to deploy Microsoft Copilot for Microsoft 365, driving improved data-driven decision-making, enhanced operational efficiency, optimized collaboration, and stronger governance and data security.

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Blog

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Concurrency, Inc.