Kensu to Provide First 360 Data Observability Solution

The Kensu platform delivers the first 360-degree data observability solution on the market, thanks to enhancements to the Kensu platform.

FREMONT, CA: "There has been a lot of hype about data observability. With this release, we offer companies the true 360° view and control over the data they've been searching for", says Eleanor Treharne-Jones, CEO of Kensu. Kensu, the Data Observability firm, has upgraded to the Kensu platform, which provides the industry's first 360-degree data observability solution. It enables data teams to monitor data at rest and in motion throughout their data environments in real-time, halving the time required to resolve data issues and restoring confidence in data.

"Rather than just focusing on data at rest, our AI-powered platform is the first in the market to monitor data at rest and in motion in real-time. At a time when budgets are under pressure, this disruptive approach will save countless hours fixing broken data pipelines and ensure businesses maximize the value from their data and their data teams," adds Treharne-Jones.

Data environments have become increasingly complicated, and data problems can have disastrous results if they are not identified and resolved promptly. According to a recent Wakefield survey, "71 percent of respondents said end users were making business decisions based on outdated or inaccurate data, 85 percent said their enterprises had made poor decisions that cost them revenue, and 66 percent said their C-suite didn't even know this was happening."

The Kensu platform, powered by AI, now uses data observations inside and outside data pipelines to automatically suggest and maintain monitoring rules, greatly assisting data teams in meeting these issues. With minimal effort, data teams are alerted as soon as data issues develop anywhere in their data environment and are equipped with all the necessary information (e.g., lineage, application name, file name, owner) to resolve the issues promptly.

The Kensu platform can also halt data applications immediately if data expectations do not match the AI-suggested guidelines. This method prevents data failures from propagating throughout the infrastructure and reaching dashboards and models that rely on it. This strengthens confidence in data in complex situations and enables all stakeholders to concentrate on maximizing its value.

This product update offers several additional new features, including:

Agent Remote Controller: a new straightforward user interface that does not require coding knowledge to configure and maintain agents viewing data from within data applications.

Observability Dashboard: a new dashboard where users can view the status of all their projects in real-time and drill down to learn more about the events generating the numbers.