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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

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Manage your data warehouse cost allocations with Amazon Redshift Serverless tagging

AWS Big Data

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. In Cost Explorer, you can visualize daily, monthly, and forecasted spend by combining an array of available filters. Tags allows you to assign metadata to your AWS resources.

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Create, train, and deploy Amazon Redshift ML model integrating features from Amazon SageMaker Feature Store

AWS Big Data

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Amazon Redshift ML makes it easy for SQL users to create, train, and deploy ML models using SQL commands familiar to many roles such as executives, business analysts, and data analysts.

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Sysco’s recipe for growth centers on IT

CIO Business Intelligence

Having been very acquisitive over the years, Sysco found itself burdened with a lot of on-premise data centers and legacy applications. The blueprint, called ‘Recipe for Growth,’ was announced in May 2021, roughly a year after Sysco appointed to its CEO position Kevin Hourican, a former top exec at CVS Health and CVS Pharmacy.

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What Is Business Intelligence and How Does It Link to EPM?

Jedox

It also needs to be based on insights from data. Effective decision-making must be based on data analysis, decisions (planning) and the execution and evaluation of the decisions and its impact (forecasting). Modern organizations of all types collect data. We’ll address common questions such as “How does it work?”

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

CIO Business Intelligence

When Steve Pimblett joined The Very Group in October 2020 as chief data officer, reporting to the conglomerate’s CIO, his task was to help the enterprise uncover value in its rich data heritage. It was very fragmented, and I brought it together into a hub-and-spoke model.”. We’re a Power BI shop,” he says.

IT 88