What is Data Governance? Accountability and Quality Control in Analytics

Effective control and governance over your data assets is vital for long-term business success. By keeping your data available, reliable and usable for analysis, consumption and sharing, you can ensure data quality, data security and data reliability is consistently met. However, many organizations today struggle to implement governance frameworks over their data, which has once again highlighted the importance of data governance. So, what is data governance?

How to Benefit from A/B Testing on Mobile

A/B testing is the most effective way to observe users’ behavior with two or more different versions of the same screen or in-app experience. It can help you test variations of an item, generally UI based, to determine which one performs better. Directing some users to version A and others to version B allows you to observe user behavior for each.

Qlik and Confluent Together Deliver Real-Time Data Streaming To Kafka

Qlik Data Integration enable you to automatically produce real-time transaction streams into Kafka. Take advantage of modern analytics and microservices, enabling streaming analytics as well as streaming ingestion into data lakes and data warehouse platforms. And unlock the potential of data from legacy systems with microservices environment integrations.

Creating a Successful Data Journey Through Enhanced Customer Experience

When I first became an industry analyst, I was fascinated with vendor focus on key capability sets and engineering. The market shifted between acquisition cycles, new start ups, and development cycles for a go-to market strategy based on differentiated tools and capability sets. All of this jockeying for position based on feature sets created strong technology stacks that paved the way for a platform approach and eventual modernization and the transition to cloud.