Remove Data Integration Remove Events Remove Forecasting Remove Risk
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Yogurt maker stirs in SAP to boost its demand planning capability

CIO Business Intelligence

More than 120 ‘flavors’ to handle When your company is dealing with today’s volatile market, a variety of products, and a supply chain covering 120+ countries – each with its own rules and processes – demand planning, including forecasting, can get a bit gut-wrenching. Such was the case with Danone.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT. There may be times when department-specific data needs and tools are required.

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Predictive Analytics Business Use Cases Ensure Results!

Smarten

Predictive analytics uses sophisticated analytical methodologies to predict future outcomes based on historical data. Using these techniques, the organization can predict future events, customer buying behaviors, and business outcomes. Plan and forecast accurately.’. Plan and forecast accurately. Quality Control.

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How Have Global Fluctuations Changed Your Planning Process?

Jet Global

The events of 2020 were nearly impossible to predict and almost as impossible to confidently respond to. Planners began to integrate functional and departmental plans into their own forecasts. Planners began tying operational plans and scenario planning together for better forecasts. This isn’t surprising, though.

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations. AWS’s scalable infrastructure allows for rapid, large-scale implementation, ensuring agility and data security.

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What is Data Lineage? Top 5 Benefits of Data Lineage

erwin

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. For example, the marketing department uses demographics and customer behavior to forecast sales.

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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

This model is used in various industries to enable seamless data integration, unification, analysis and sharing. More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars.