Kensu has launched what it believes is the first 360 data observability solution on the market as it introduces its latest release. The updated solution enhances the Kensu platform enabling users to monitor data in motion and at rest in real time. Kensu believes that this visibility will enable organisations to cut the resolution time of data issues in half, improving the organisation’s trust in their data.
Trust in data is critical if organisations wish to prioritise data-driven decision-making rather than making decisions on gut feel. With the explosion of data across organisations, there is an increasing volume of data issues that organisations must address. The first thing they must have is the ability to spot the issues, to correct them. This is where the data observability solution comes into its own.
Without that visibility, organisations will base decisions on erroneous data. A recent Wakefield survey stated, “71% of respondents said end users were making business decisions with old or error-prone data, 85% said their enterprises had made bad decisions that cost them revenue, and 66% said their C-suite didn’t even know this was happening”.
What does the 360 data observability deliver?
The new solution enhances the existing AI-powered data observability platform. It is now capable of making data observations inside and outside data pipelines. It then provides insights on how the pipelines should improve to rectify the issues by addressing monitoring and pipeline rules. The solution will detect anomalies in data and use metadata such as lineage, application name, file name, and owner to suggest changes to pipelines.
Where data falls outside predefined parameters, the Kensu platform can pause the data feeds until a correction is made. For example, if a feed starts feeding corrupted or abnormal data, the feed will pause until fixed and/or verified. The feature is delivered by the circuit breaker function and will switch off the data feed immediately after an issue is detected, if configured so.
That means that further down the data pipeline dashboard, on which leaders make decisions, are not corrupted. What is not clear is whether this cessation of data is flagged and whether the dashboards, if presenting a combination of data feeds, are impacted, as this would be outside of the Kensu remit.
The release also includes other features, including:
- Agent Remote Controller: a new intuitive user interface requiring no coding experience to set up and maintain the agents observing the data from within the data applications. It allows users to configure observability agents without the need to use code. Data is measurable across different factors, including its completeness. Alerts can be set depending on what data is missing.
- Observability Dashboard: a new dashboard where users can see all their projects and their corresponding status in real-time and drill down to understand further the events driving the figures.
Eleanor Treharne-Jones, CEO of Kensu, commented, “There has been a lot of hype about data observability. With this release, we offer companies the true 360° view and control over their data they’ve been searching for. 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.”
Enterprise Times: What does this mean
This is an interesting release from Kensu. However, while the press release infers that this is a new solution, it does not appear to be. The update delivers interesting new features that will help organisations better manage their data pipelines. However, the press release lacks details and release notes about the release were unavailable.
