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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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4 ways to ensure CEO support for your digital strategy

CIO Business Intelligence

But we also have our own internal data that objectively measures needs and results, and helps us communicate with top management.” In fact, CNR has had a data warehouse for 15 years, which gathers information from internal management systems to perform analyses and guide strategies. C-suite support for investments is essential.

Strategy 110
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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

You can subscribe to data products that help enrich customer profiles, for example demographics data, advertising data, and financial markets data. Amazon Kinesis ingests streaming events in real time from point-of-sales systems, clickstream data from mobile apps and websites, and social media data.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images. Streaming storage provides reliable storage for streaming data.

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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Those who work in the field of data science are known as data scientists. The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets. Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred.

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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. To get started, we need an Amazon Redshift Serverless data warehouse with the Redshift ML feature enabled and an Amazon SageMaker Studio environment with access to SageMaker Feature Store.