Power BI and DevOps together enable CI/CD-driven analytics by bringing real-time collaboration, Git-based version control, and governed deployment pipelines to BI development. These capabilities eliminate bottlenecks, improve data reliability, and accelerate insight delivery across development, test, and production environments.
Topic: Business Intelligence
Empowering Efficient Supply Chain Planning and Operations for CPG Enterprises
CPG enterprises are rethinking traditional supply chain planning as volatility, fragmented data, and legacy systems limit responsiveness. By modernizing enterprise supply chain planning with AI and advanced analytics, organizations can connect demand, inventory, logistics, and execution into a unified, adaptive ecosystem, enabling faster decisions, resilient operations, and measurable business impact across the CPG value chain.
AI Trends 2026: From Hype to Enterprise Reality
Discover how industries are moving beyond experimentation to embed AI into core decision-making. Drawing insights from MathCo leadership, the article explores agentic AI, governance, enterprise readiness, and what it will take for industries to scale AI with trust, reliability, and real business impact.
Meet Your New Retail Agent: How Agentic AI Is Rewriting Refunds & CX
Retail planning is breaking free from rigid calendars and becoming a living, always-on discipline. With real-time signals, AI-driven forecasting, and connected planning ecosystems, retailers can sense shifts as they happen and recalibrate instantly. The result is sharper decisions, leaner inventories, and an agile operating model built for today’s volatility. The future isn’t seasonal — it’s continuous, intelligent, and always operational.
The End of the Retail Calendar: Planning for a World Without Seasons
Retail planning is breaking free from rigid calendars and becoming a living, always-on discipline. With real-time signals, AI-driven forecasting, and connected planning ecosystems, retailers can sense shifts as they happen and recalibrate instantly. The result is sharper decisions, leaner inventories, and an agile operating model built for today’s volatility. The future isn’t seasonal — it’s continuous, intelligent, and always operational.
Measuring What Matters: Inside NucliOS Data Quality Reports
NucliOS Data Quality Reports (DQR) transform how enterprises measure and manage data reliability. By combining AI-driven rule generation, contextual validations, and transparent reporting, DQR turns every data quality report into a source of actionable intelligence — helping teams move from data guesswork to confident, data-driven decisions.
Seeing Beyond the Numbers: Market Share Analytics in Action
Retailers today need more than numbers. They need insight that acts. Agentic AI is redefining Market Share Analytics by connecting siloed data, simulating real-time scenarios, and empowering cross-functional teams to respond faster. The result is smarter decisions, stronger positioning, and measurable growth in a volatile market.
Reducing Pipeline Development: A Metadata-Driven Approach to Data Ingestion
A global CPG leader modernized its data ingestion architecture with a metadata-driven framework built on Databricks Lakeflow Jobs. By replacing fragmented legacy ETL processes, the company reduced pipeline development time by 80%—from 36 hours to just 8—and enabled data teams to onboard new sources in hours instead of weeks. This article explores how MathCo’s metadata-driven approach streamlined data ingestion, enhanced scalability, and empowered enterprise-grade data transformation across manufacturing, supply chain, and sales channels.
Digital Twin in Pharma Supply Chain: Shaping the Future of Intelligent Operations
Pharma supply chains lose over $35B annually due to cold chain failures and disruptions. Integrating AI-powered digital twins can transform them from reactive systems into predictive, resilient networks, thus, ensuring compliance, reducing waste, and delivering measurable value.
Beyond Spreadsheets and Dashboards: How Agentic Promo Planning is Reshaping CPG Growth
Traditional CPG promo planning is plagued by siloed dashboards, manual workflows, and slow decision-making, often stretching cycles to 8 weeks. The next step to solve these lies in Agentic promo planning. It automates repetitive tasks, consolidates insights, and enables real-time collaboration, bridging the gap between insight and action. With agents for reporting, alerts, and scenario simulation, enterprises can move from static dashboards to dynamic, insight-driven, and future-fit promo planning.