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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

Forecasting is another critical component of effective inventory management. However, forecasting can be a complex process, and inaccurate predictions can lead to missed opportunities and lost revenue. However, forecasting can be a complex process, and inaccurate predictions can lead to missed opportunities and lost revenue.

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Data transformation takes flight at Atlanta’s Hartsfield-Jackson airport

CIO Business Intelligence

By applying BI and predictive forecasting, Smart Flow then helps airport operations determine whether it should offer additional services and products to those passengers or, during periods of reduced foot traffic, reassign resources to more heavily trafficked areas of the airport.

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Bridging the gap between mainframe data and hybrid cloud environments

CIO Business Intelligence

Data professionals need to access and work with this information for businesses to run efficiently, and to make strategic forecasting decisions through AI-powered data models. Without integrating mainframe data, it is likely that AI models and analytics initiatives will have blind spots.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Where is all of that data going to come from? But, by using big data applications to plan for increased or even fluctuating demand across the supply chain, it’s possible to tweak strategies in line with annual trends like market changes or seasonal needs. This is a testament to the brand-boosting power of big data in logistics.

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How the BMW Group analyses semiconductor demand with AWS Glue

AWS Big Data

The main requirement is to have an automated, transparent, and long-term semiconductor demand forecast. Additionally, this forecasting system needs to provide data enrichment steps including byproducts, serve as the master data around the semiconductor management, and enable further use cases at the BMW Group.

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A Planning Center of Excellence Delivers Performance Improvement

David Menninger's Analyst Perspectives

AI is also making it easier for executives and managers to rapidly forecast, plan and analyze to promote deeper situational awareness and facilitate better-informed decision-making. It is stocked with data gathered from multiple authoritative sources and available for immediate analysis, forecasting, planning and reporting.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.