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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

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How the BMW Group analyses semiconductor demand with AWS Glue

AWS Big Data

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. To enable this use case, we used the BMW Group’s cloud-native data platform called the Cloud Data Hub.

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Revolutionizing the consumer goods industry with integrated business planning

IBM Big Data Hub

By leveraging this technology, they developed custom budget models for sales performance, human resources planning, operating expenses, and a complete profit and loss statement. Additionally, dashboards and reports were crafted based on the budget models and conducted variance analysis for specific areas.

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Happy Birthday, CDP Public Cloud

Cloudera

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. Predict – Data Engineering (Apache Spark). Enable Cloud Everywhere : Accelerate adoption of cloud-native data services for public clouds . That Was Then. New Services.

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AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova

Ontotext

On March 19, 2019, Economy.bg Milena Yankova : We help the BBC and the Financial Times to model the knowledge available in various documents so they can manage it. Milena Yankova : The professions of the future are related to understanding and processing data, transforming it into information and extracting knowledge from it.

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The What & Why of Data Governance

erwin

So companies will be forced to classify their data and to find mechanisms to share it with such platforms.”. GDPR is also proving to be the de facto model for data privacy across the United States. You can request a demo of erwin Data Intelligence here.

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DataOps Observability: Taming the Chaos (part 1)

DataKitchen

DataOps Observability can help you ensure that your complex data pipelines and processes are accurate and that they deliver as designed. Observability also validates that your data transformations, models, and reports are performing as expected. to monitor your data operations. without replacing staff or systems?to

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