Analytics

Evaluating the risks associated with a data mesh approach

This blog looks at some of the risks associated with data mesh and why organizations need to look at more than just the concepts of distributed data management to ensure successful data mesh. Companies need to evaluate the needs for managing their data products, data governance, the use of data platforms, and how business domains will be managed across the data ecosystem.

Maximize the value potential of your data with data excellence

To reach the value potential of your data, visibility of challenges and an incremental improvement path is key. Many organizations are overlooking some of the foundational changes required in both technology and culture to enable maturity to data excellence. Join Darren Brunt to explore the journey, benefits and potential challenges around establishing data excellence.

Data Management with Cloudera CDP | Gartner Show Floor Showdown

At Gartner's Data and Analytics Summit in Orlando Florida, Director of Product Management, David Dichmann, presented the Cloudera Data Platform (CDP) for Data Management. Using Flood data provided by Gartner together with additional data assets, we demonstrate how Cloudera's Hybrid, Open, Portable and Secure data platform could assist data practitioners in developing an early warning detection service for potential coastal flooding for the state of Florida.

From Data to Insights: An Introduction to Product Analytics

At Countly, we’ve been talking about product analytics for over a decade, moving from one in-depth article to the other without really taking the time to give our readers a straightforward handbook to understand this practice and harness its potential. As industry veterans, we'd like to share our two cents on product analytics. ‍

Top 5 Microsoft SQL ETL Tools for Data Integration

Data integration is the process of combining data from multiple sources into a single, unified destination. An ETL tool can help streamline this process, as it automatically extracts data from various sources, transforms it, and loads it into a target warehouse. By using an ETL tool, organizations reduce the cost and complexity of data integration, improve data accuracy, and ensure data security and privacy.

The 19 Best AI Use Cases in 2023

The recent advances in deep learning neural networks are pushing beyond what we thought AI technology could do. Heck, with DALL-E 2 winning art competitions and ChatGPT passing anything from New York’s Bar exam to Advanced Sommelier exams, modern AI technology is performing better than the average Joe. Which begs the question: How can AI solutions be used to improve business outcomes?