Operational Intelligence & Process Optimization

Enabling smarter, faster decisions through connected insights and business-aligned execution.

Overview

At Data Core Insights, we apply deep industry knowledge and advanced data capabilities to streamline operations, uncover inefficiencies, and enhance responsiveness across your business. From supply chain visibility to store-level execution, we design solutions that surface real-time insights and embed them directly into your decision-making processes. Our work helps organizations reduce costs, minimize delays, and improve service levels—using trusted tools like Databricks, Power BI, Oracle Cloud SCM, and Azure Synapse to bridge data with action.

Why Data Core Insights?

We don’t just optimize operations—we understand them. With real-world experience in CPG, supply chain, and retail, we know how your data maps to inventory turns, production schedules, and customer satisfaction. Our solutions go beyond dashboards—they become part of how your business works. Whether you're solving for excess stock, late shipments, or resource constraints, we help you take action, not just observe the problem.

Outcomes You Can Expect

  • Faster reaction to demand shifts, delays, or exceptions

  • Reduced supply chain costs and operational waste

  • Improved inventory accuracy and service levels

  • Integrated reporting that connects planning to execution

  • Empowered teams with real-time insights, not rearview reporting

  • Process transparency and accountability across functions

Our Services Include

  • Integrate data from inventory, order, manufacturing, and logistics systems to build a holistic view of the supply chain using platforms like Databricks Delta Lake, Azure SQL, Oracle SCM, and real-time dashboards in Power BI.

  • Define and automate performance indicators across operations (e.g., on-time delivery, fill rate, production throughput), supported by rule-based alerts using Power BI, Azure Monitor, or custom APIs.

  • Combine process intelligence with data analysis to identify inefficiencies, delays, and system handoffs that introduce cost or risk—supported by event log analysis, SQL modeling, and workflow reviews.

  • Apply forecasting models to optimize production planning, inventory levels, and demand fulfillment using Databricks Notebooks, Azure Machine Learning, and historical transactional data from ERP and POS systems.

  • Provide connected views of sales, supply, and operations data to drive alignment between planning and execution teams using Power BI, Tableau, or embedded analytics within ERP and WMS systems.

  • Analyze and enhance key business processes such as demand forecasting, trade promotion ROI, planogram compliance, and store-level execution using tools like Databricks, Oracle Retail Analytics, and Azure Data Factory.

  • Identify opportunities for automation and efficiency by streamlining repetitive manual processes using Power Automate, Informatica Cloud Workflows, and custom SQL or Python-based automation.

  • Enable deep-dive investigations into operational breakdowns or cost drivers by integrating exception reporting, historical benchmarking, and multi-source comparisons—all built into easy-to-use analysis views.