article thumbnail

9 Best Practices for Real-Time Data Management

Dataversity

Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety.

article thumbnail

Transactional Data: The Future of Real-Time Data In-Store

Dataversity

As a fintech founder, I have been particularly fascinated by consumer retail trends appearing from transactional data that could rapidly improve user experience and targeted marketing in-store. The post Transactional Data: The Future of Real-Time Data In-Store appeared first on DATAVERSITY.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Top Benefits of Analyzing Data at the Edge

Dataversity

Demand for real-time data and analytics has never been higher – and for good reason. Businesses want to be able to tap into their data and generate insights that can lead to a competitive edge in their respective industry.

article thumbnail

How to Automate Credit Risk Assessment Framework Using ETL

Astera

Astera also makes it easy to collaborate and share workflows with other users and maintain and update workflows as the data and business requirements change. The article also states that digitization can reduce credit losses by 10 to 20 percent by improving the accuracy and speed of credit decisions.

article thumbnail

Automated Credit Risk Assessment: How ETL Is Unlocking Better Investments

Astera

Astera also makes it easy to collaborate and share workflows with other users and maintain and update workflows as the data and business requirements change. The article also states that digitization can reduce credit losses by 10 to 20 percent by improving the accuracy and speed of credit decisions.

Banking 52
article thumbnail

Scalable ETL Architectures: Handling Large Volumes of Data 

Astera

Implementing scalable ETL architectures enables organizations to unlock the potential of their data repositories, facilitating timely and valuable insights for informed decision-making. This article delves into the complexities of building and optimizing scalable ETL architectures to meet the demands of modern data processing.

article thumbnail

5 Best Claims Automation Software in 2024

Astera

Instead, automated claims processing software can handle this data efficiently and accurately. The right software can transform the efficiency and accuracy of claims handling, and directly impact operational productivity and customer satisfaction. Docsumo has automated cloud backup and data recovery.