Data

Data Readiness, Business Intelligence, and Data Engineering

Each service is tailored to address the unique needs of manufacturers, retailers, and financial services, providing a solid foundation for data-driven decision-making

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Data Readiness

Mobilize your data for strategic advantage with comprehensive data services that simplify data management complexities. Equip your organization with the right strategies, tools, and infrastructure to unlock the full potential of your data and drive impactful business outcomes.

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Business Intelligence

Unlock the full potential of your teams with self-service business intelligence (BI) solutions that democratize data access and analysis across your organization. Implement intuitive BI platforms that empower users to create their own reports, dashboards, and visualizations—eliminating the need for IT support. Accelerate decision-making with real-time insights right at your fingertips.

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Cloud Data Engineering

Transform your business with scalable, flexible, and cost-effective cloud-based data architectures. Benefit from seamless cloud migration, efficient data lake and warehouse setup, and cutting-edge serverless data processing.

Driving Impactful change

Data Readiness
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Our comprehensive data readiness services encompass strategy development, thorough assessments, and alignment with business goals.

Business Intelligence
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We provide end-to-end solutions for dashboards, reporting, and analytics, empowering your organization to make decisions with confidence.

Data Engineering
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Our data engineering services provide the architecture, platform, and migration solutions you need to build a robust, scalable data infrastructure.

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Data Readiness

Our comprehensive data readiness services encompass strategy development, thorough assessments, and alignment with business goals.

gear inside of an eye

Business Intelligence

We provide end-to-end solutions for dashboards, reporting, and analytics, empowering your organization to make decisions with confidence.

Arrows pointing up signifying growth or improvement

Data Engineering

Our data engineering services provide the architecture, platform, and migration solutions you need to build a robust, scalable data infrastructure.

Concurrency made development of the dashboards look very easy. We gave Concurrency team detailed requirements and the team pulled out all of the stops. Our lead PowerBI consultant from Concurrency was very gifted.

Rob Decker | Harley-Davidson

Case Studies

01
Enhancing Connectivity and Search Capabilities: Empowering a Non-Profit’s Mission with AI
02
AI Early Warning System Predicts At-Risk K-12 Students
03
AI Claims Adjudication Increases Revenue, Cashflow, Saves Man Hours
04
AI Auto-Quoting Saves Man Hours, Reduces Missed Opportunities
05
AI Demand Planning Helped Agriculture Supply Chain Company Forecast Commodity Availability, Reduce Carrying Costs, & Improve Supply Chain Efficiency
06
Weather Data Saves Grocery Retailer Many Millions in Labor Savings
01

Enhancing Connectivity and Search Capabilities: Empowering a Non-Profit’s Mission with AI

A non-profit organization collaborated with Concurrency to update a pre-existing user platform, aiming to enhance search functionality and support by implementing artificial intelligence (AI). Through various upgrades and platform enhancements, including transitioning to the LTS version of .NET and upgrading the Content Management System, the organization improved its platform’s capabilities. The integration of AI, specifically GenAI, enhanced search efficiency and effectiveness.

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02

AI Early Warning System Predicts At-Risk K-12 Students

A large school district in the Western US faced challenges related to high student dropout rates and students not graduating on time, exacerbated by limited resources and complex socioeconomic factors. To address these issues, an early warning system was developed using predictive AI to identify at-risk students from kindergarten onwards, allowing for timely intervention by guidance counselors. The system continuously learns new risk factors and provides a user-friendly dashboard for real-time monitoring.

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03

AI Claims Adjudication Increases Revenue, Cashflow, Saves Man Hours

AI claims adjudication was implemented to address the challenges faced by a large independent pathology lab in managing denied claims and improving cash flow. Two claims adjudication models were developed to prioritize denied claims based on various factors. The models were successfully integrated into the lab’s workflow and automated, leading to a 45% increase in the speed of revenue cycle management. Additionally, accounts receivables increased by 8%.

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04

AI Auto-Quoting Saves Man Hours, Reduces Missed Opportunities

An industrial seals distributor and manufacturer saved man-hours and reduced missed sales opportunities through AI auto-quoting, which automatically generates quotes based on incoming requests. The previous manual quoting process took over 3 hours per quote, leading to missed sales opportunities as customers sought faster quotes from competitors. The AI system integrated with Dynamics CRM and simplified the quote verification process for sales reps, reducing quote response time to under 2 minutes.

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05

AI Demand Planning Helped Agriculture Supply Chain Company Forecast Commodity Availability, Reduce Carrying Costs, & Improve Supply Chain Efficiency

An agriculture supply chain company seeking to reduce carrying costs and improve supply chain efficiency turned to AI demand planning for help. We implemented predictive analytics to forecast commodity availability and optimize spending on primary commodities. The AI-enabled forecasts, supported by LSTM Deep Neural Network models, helped optimize inventory management and logistics, resulting in improved storage, handling, and processing capacities.

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06

Weather Data Saves Grocery Retailer Many Millions in Labor Savings

A large grocery retailer in the U.S. implemented an AI demand planning solution to address the issue of excess labor costs. By integrating weather patterns into their demand planning system, they were able to optimize staffing and reduce labor expenses. The implementation was completed in just four weeks and resulted in significant cost savings of $4.67 million in the first year. Additionally, the incorporation of weather data led to a better understanding of customer behavior.

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Blog

Cloud Datacenter & DevOps, Data & AI, Data Platform & Analytics

Handling Overlapping Domains in a Data Mesh

Nathan Lasnoski

Cloud Datacenter & DevOps, Data & AI, Data Platform & Analytics, Data Science

Understanding the Data Domain in the Data Mesh

Nathan Lasnoski

Cloud Datacenter & DevOps, Data & AI, Data Platform & Analytics, Data Science

Using DAX Studio to Jump Start Your Data Dictionary

Concurrency, Inc.