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Create a protective shell around your data applications

Discover how adopting an observability platform helps data and IT teams avoid "datastrophes," guarantee continuous quality, and increase team cohesion.

Illustration_Use_Case_Protective_Shell

Use case

Introduction

Among companies who have made the smart decision to remain innovative by leveraging the large volume of data available at their disposal, several teams are usually involved. Data scientists, data engineers, project managers, IT and business professionals all have their own roles and responsibilities – involving everything from handling and providing raw data, to building AI and ML models, ingesting data for delivery of business insights, interpreting and analyzing data, as well as drafting the requirements for future models.

One element that unites these teams is, of course, the data. Whether raw or transformed, data is continually being transported from one group to another, and any models or manipulations that are performed at every step contribute to increased risk related to data quality and related insights. Ultimately any data that has been compromised has the potential to impact the way decisions are made.

Challenges

Typically, the IT team handles the raw data at the beginning of the process. For a variety of reasons, the team may need to apply changes to the data (e.g. adapt the model, add or remove elements, etc.) that will consequently change the information that is passed along the “data value chain.” The data team then receives the information which is – hopefully – correct. They process the data through their models and then deliver insights to the business team.

Data and insights, which are intrinsically linked, are processed along a chain of value that can easily be broken as soon as a change occurs, such as a modification to the data model. While each team is able to maintain their own quality controls and outcomes, this process allows limited visibility into how data will be used by other groups downstream. This makes it difficult for the IT team, for example, to anticipate the impacts of any changes and take preventative measures to avert any issues experienced by the data team. As a result, the data team would either be alerted too late of potential issues, or not at all, which would inevitably cause failures in their models and in the insights delivered to the business team.

With Kensu

This type of “datastrophe” can be avoided with an observability platform that creates a protective shell around data applications. Kensu serves as an added layer of assurance to protect data quality, monitoring data in real time as it goes in and out, and applying specific rules that can immediately detect and alert all users to data issues.

To name just a few examples, alerts can monitor: 

  • Data model accuracy, e.g. notifying the team that columns have been removed
  • Quality of input data, e.g. the appearance of null values
  • Specific insights provided to the business team, e.g. KPIs are out of range
  • And much more

Kensu enables continual monitoring and end-to-end visibility on data pipelines that not only protects data integrity, but also makes it easier to conduct impact analyses as well as investigation and analysis of root causes.

Benefits

Adopting a data observability platform helps data and IT teams avoid datastrophes, guarantee continuous quality, and increase team cohesion by providing a clear set of accountability guidelines, as well as an improved system for communication. In fact, Kensu delivers key results that can:

  • Offer better visibility
  • Facilitate communication
  • Improve risk management
  • Reduce data downtime
  • Increase productivity

In addition, protecting applications with data observability can help create an atmosphere of trust in the products that teams deliver, resulting in an improved culture based on mutual trust and collaboration between teams.

To know more

Kensu’s observability solution can help businesses improve collaboration between teams and ensure that the data ingested and produced by applications meets quality standards. To learn more about how Kensu empowers companies to create environments in which data can be easily managed and controlled, contact us today.

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