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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

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

IBM Big Data Hub

The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations.

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IBM and AWS Create a Path to Modernization Via Industry-Specific Solutions

CIO Business Intelligence

Working with AWS and IBM, United created and scaled a data warehouse using Amazon Redshift, an off-the-shelf service that manages terabytes of data with ease. Next stop: Migrating a complex forecasting module planned for later in 2022. Next stop: Migrating a complex forecasting module planned for later in 2022.

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The Very Group adopts a data catalog to better organize and leverage its online retail capabilities

CIO Business Intelligence

As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. Establishing a clear and unified approach to data. We’ve got a trusted brand and we’ve just started to innovate based on our technology and data capabilities,” he says. We’re a Power BI shop,” he says. “I

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Better, faster decisions: Why businesses thrive on real-time data

CIO Business Intelligence

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

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Get maximum value out of your cloud data warehouse with Amazon Redshift

AWS Big Data

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

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Achieve your AI goals with an open data lakehouse approach

IBM Big Data Hub

With an open data lakehouse architecture approach, your teams can maximize value from their data to successfully adopt AI and enable better, faster insights. Why does AI need an open data lakehouse architecture? from 2022 to 2026.