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Data Intelligence in the Next Normal; Why, Who and When?

erwin

These surveys helped IDC develop a model that describes the five stages of enterprise recovery , aligning business focus with the economic situation: When the COVID-19 crisis hit, organizations focused on business continuity. As the economy slowed, they focused on cost optimization.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Advanced analytics empower risk reduction . Improve Visibility within Supply Chains.

Analytics 109
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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

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The Future of the Data Lakehouse – Open

CIO Business Intelligence

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses.

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The Future of the Data Lakehouse – Open

Cloudera

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses.

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The Power of Ontologies and Knowledge Graphs: Practical Examples from the Financial Industry

Ontotext

Case Study In their talk: How Knowledge Graphs and Graph Databases Take Your Data Further, presented at Ontotext’s Knowledge Graph Forum 2022, Ragini Okhandiar and Krishna Potluri from JPMorgan Chase & Co. As you can see in the screenshot below, such an advanced search can match the optimal investment target.

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5 Ways Data Engineers Can Support Data Governance

Alation

However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case. What’s worse, just 3% of the data in a business enterprise meets quality standards. There’s also no denying that data management is becoming more important, especially to the public.