Remove Cost-Benefit Remove Data-driven Remove Events Remove Marketing
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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. That’s not true.

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Nexthink scales to trillions of events per day with Amazon MSK

AWS Big Data

Real-time data streaming and event processing present scalability and management challenges. AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. Finally, Nexthink details the benefits achieved by adopting Amazon MSK. V6 also lacked scalability.

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Real-time transaction data analysis with IBM Event Automation

IBM Big Data Hub

The ability to quickly respond to shifting customer and market dynamics has become key for contending with today’s growing digital economy. An event-driven architecture focuses on the publication, capture, processing and storage of events. This stream provides a persistent, real-time log of all orders received.

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Maximizing your event-driven architecture investments: Unleashing the power of Apache Kafka with IBM Event Automation

IBM Big Data Hub

Recognizing the need to harness real-time data, businesses are increasingly turning to event-driven architecture (EDA) as a strategic approach to stay ahead of the curve. This trend grows stronger as organizations realize the benefits that come from the power of real-time data streaming.

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The Importance of Analytics in Digital Marketing

Smart Data Collective

Marketing analytics has become a dealmaker in the business world. Companies are projected to spend over $10 billion on marketing analytics technology in 2028. The digital marketing sector is among those most influenced by the benefits of analytics technology. You will want to consider using marketing analytics as well.

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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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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.