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Stream and Event Processing Require Real-Time Analytics

David Menninger's Analyst Perspectives

In my past perspectives, I’ve written about the evolution from data at rest to data in motion and the fact that you can’t rely on dashboards for real-time analytics. Organizations are becoming more and more event-driven and operating based on streaming data.

Analytics 252
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Utilize The Undeniable Power Of Professional COO Dashboards & Reports

datapine

We won’t delve into details about the career prospects of this C-level position but we will present COO dashboards and reports that are critical for helping chief operating officers across the world to effectively manage their time, company, operational processes, and results. How to create a COO dashboard? What is a COO report?

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3 reasons why business and data analysts need to work with real-time events

IBM Big Data Hub

” 1 Business and data analysts are intimately familiar with the growing business need for precise, real-time intelligence. They are being increasingly challenged to improve efficiency and cost savings, embrace automation, and engage in data-driven decision making that helps their organization stand out from the competition.

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Event-driven architecture (EDA) enables a business to become more aware of everything that’s happening, as it’s happening 

IBM Big Data Hub

In modern enterprises, where operations leave a massive digital footprint, business events allow companies to become more adaptable and able to recognize and respond to opportunities or threats as they occur. Teams want more visibility and access to events so they can reuse and innovate on the work of others.

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Bubble Wrap: How Eurovision Monitors Covid Risk at Events

CIO Business Intelligence

While pandemic-driven digital transformation has enabled the media and entertainment industry to stream awesome content 24/7 – digital technology is also safeguarding visitors, performing artist, and crew at the Eurovision Song Contest by monitoring their Covid-19 exposure levels in real time. So, how does it work?

Risk 88
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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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8 Reasons Data-Driven Companies Are Utilizing Email Marketing

Smart Data Collective

Big data is at the heart of all successful, modern marketing strategies. Companies that engage in email marketing have discovered that big data is particularly effective. When you are running a data-driven company, you should seriously consider investing in email marketing campaigns. Cost-effective method.