Data Estate and analytics Consulting Services 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. Talk to Concurrency Data Estate & Analytics Consulting Services 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. Operationalize Your Data Put your data to work by embedding it into business processes, enabling real-time insights, automation, and improved outcomes. 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 Estate and 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? Let’s Talk!! Data Estate and Analytics Consulting Services OneLake Data Estate Create a single, trusted foundation for all your data. Learn More Operational Data & Data Engineering Turn raw data into data your business can actually use. Learn More Real-Time Intelligence & Streaming Insights Make decisions as events happen—not after the fact. Learn More Semantic Models & BI Storytelling Turn analytics into stories people understand and trust. Learn More OneLake Data Estate Operational Data & Data Engineering Real-Time Intelligence & Streaming Insights Semantic Models & BI Storytelling OneLake Data Estate Create a single, trusted foundation for all your data. Learn More Operational Data & Data Engineering Turn raw data into data your business can actually use. Learn More Real-Time Intelligence & Streaming Insights Make decisions as events happen—not after the fact. Learn More Semantic Models & BI Storytelling Turn analytics into stories people understand and trust. Learn More OneLake Data Estate Bring structure and order to your data landscape by unifying data across systems into a governed OneLake data estate. Concurrency helps you design, build, and optimize a scalable data foundation that supports analytics, AI, and real‑time decision‑making—so teams can trust the data they use and leaders can act with confidence. Unify data from multiple sources into a single data estate Apply governance, security, and quality controls from day one Establish a scalable foundation for analytics, AI, and Copilot Reduce data sprawl and eliminate competing versions of the truth Operational Data Operational Data focuses on shaping and preparing data for everyday business use. We help clean, model, and organize data so it’s reliable, performant, and ready to be embedded directly into workflows, reports, and applications—reducing friction between insight and action. Cleanse, standardize, and model data for operational use Improve performance and reliability of analytics and reporting Prepare data for use in business apps and automation Ensure consistent definitions across teams and systems Real‑time Intelligence & Streaming Insights Enable real‑time visibility into your business by streaming data from operational systems, devices, and applications. Concurrency helps you design and deliver real‑time intelligence solutions that surface insights instantly, support automation, and power proactive decision‑making across the organization. Stream and analyze data as it’s generated Detect trends, issues, and opportunities in real time Enable event‑driven automation and alerts Support faster, more proactive business decisions Semantic Models & BI Storytelling Semantic Models & BI Storytelling transforms complex data into clear, consistent, and governed insights. We design trusted semantic models and intuitive BI experiences that standardize metrics, align teams on definitions, and turn analytics into compelling narratives—making insights accessible, actionable, and adopted across the business. Create governed semantic models with shared business definitions Standardize KPIs and metrics across teams Build intuitive dashboards and reports that tell a clear story Increase insight adoption by making data easier to understand and use Why Leading Enterprises Choose Concurrency for Data & Analytics Enterprises choose Concurrency for Data Driven Insights because we don’t just build dashboards—we help organizations unify, shape, and operationalize data so it becomes a trusted source of truth and drives real-time, meaningful intelligence. We bring a practical, outcome-focused approach that tackles the hard parts teams struggle with—combining and cleansing fragmented data, embedding insights into business processes, and turning analytics into clear stories leaders can act on—while keeping governance and adoption front-and-center so insights actually stick. 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 Improving Inventory Visibility With a Visual Inventory Tracking System 02 Scaling Operational Efficiency With AI‑Driven Document Matching 03 Accelerating Developer Productivity With GitHub Copilot Enterprise 04 Optimizing Complex Operations With Predictive Intelligence 05 Accelerating Sales Order Processing with AI-Powered Automation 06 Modernizing Manufacturing Analytics with Microsoft Fabric 01 Improving Inventory Visibility With a Visual Inventory Tracking System A U.S.-based industrial distributor partnered with Concurrency to modernize how it tracks, searches, and sells inventory across warehouse and sales teams. Operating in a resale‑driven environment where inventory changes constantly and varies by condition, the organization needed a faster, more reliable way to capture inventory details and make them immediately visible to sales. Concurrency delivered a visual, photo‑first inventory tracking system that reduced manual effort, improved response times, and established a scalable foundation for future automation. View Details 02 Scaling Operational Efficiency With AI‑Driven Document Matching A U.S.-based industrial distributor partnered with Concurrency to modernize high‑friction, document‑driven operational workflows tied to purchasing coordination and receivables processing. As transaction volume increased, leadership wanted to reduce manual effort and improve accuracy without adding headcount or replacing core systems. Through targeted automation and governance‑first design, Concurrency helped the organization establish a scalable foundation for efficient, AI‑enabled operations. View Details 03 Accelerating Developer Productivity With GitHub Copilot Enterprise A U.S.-based organization partnered with Concurrency to enable GitHub Copilot Enterprise across its development teams. As interest in AI‑assisted development increased, leadership wanted to ensure adoption delivered measurable productivity gains—not just experimentation. Through structured enablement and governance guidance, Concurrency helped the organization establish a scalable foundation for responsible, high‑impact Copilot adoption. View Details 04 Optimizing Complex Operations With Predictive Intelligence A multinational industrial organization partnered with Concurrency to improve the efficiency and consistency of a mission‑critical operational process. Because the process runs continuously at high volume, even fractional performance improvements translate into meaningful financial impact. Concurrency delivered a predictive, machine‑learning‑driven optimization solution that improved throughput, reduced variability, and established a scalable foundation for predictive operations across facilities. View Details 05 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. View Details 06 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. View Details Previous Next Blog Cloud Datacenter & DevOps, Data & AI, Data Platform & Analytics Handling Overlapping Domains in a Data Mesh January 15, 2023 Nathan Lasnoski Cloud Datacenter & DevOps, Data & AI, Data Platform & Analytics, Data Science Understanding the Data Domain in the Data Mesh December 30, 2022 Nathan Lasnoski Cloud Datacenter & DevOps, Data & AI, Data Platform & Analytics, Data Science Using DAX Studio to Jump Start Your Data Dictionary June 22, 2021 Concurrency, Inc.
