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Automated Data Discovery

Strengthen your business intelligence through smarter data management.

Find the data you need anywhere in your data landscape, in seconds.

Automated data discovery enables instantaneous search and location of your desired data across multiple systems.

Let’s do things smarter…

Gain insight into all the SaaS applications in use within your organization, including unknown applications along with previously known and sanctioned applications.

Data Discovery is the first step to knowing your data. Auto-discover data across any application on any infrastructure and identify all unknown data relationships across the entire siloed data landscape.

Quickly search, explore and understand critical patterns and relationships in your data, then visualize complex dependencies between data attributes, and represent relationships between entities. Automatically identify sensitive data and tag it for classification in order to ensure compliance.

Use Automated Data Discovery To Transform Your Data Initiatives
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Discovery & Automation

Data teams can easily leverage their data without a dedicated support team. Automation and workflow orchestration for your data tooling removes siloes between stages of the data pipeline, making it easier to understand and access data. Greater accessibility naturally leads to increased data adoption, reducing the load for your data engineering team.

Scalability as Data Evolves

As you ingest more data and unstructured data becomes the norm, the ability to scale to meet these demands will be critical for the success of your data initiatives. Data discovery leverages machine learning to gain a bird’s eye view of your data assets as they scale, ensuring that your understanding evolves along with your data. This way, data consumers are set up to make more intelligent and informed decisions instead of relying on outdated information and processes.

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Data Reliability, Today & Tomorrow

Modern data teams have automated approaches to ensuring highly trustworthy data at every stage of the pipeline. The Kleene Intelligent Data Cloud provides everything from data quality monitoring to end-to-end data observability, and can alert for issues in your data pipelines. Quickly finding the root cause for fast resolution and preventing future downtime.

The Kleene Data discovery empowers data teams to trust that their assumptions about data match reality, enabling dynamic discovery and a high degree of reliability across your data infrastructure, regardless of domain.

Read Our Success Stories

Implementing analytics stack

Molo is the UK’s first digital native mortgage lender. Since launching in 2018 Molo have used technology to deliver simpler and faster online mortgage lending to make homeownership ...

Hindsight to Foresight

Providing a discount service to emergency service workers, Blue Light Card (BLC) 15,000 partners include online and high street retailers, restaurants and cinemas. As their membership base ...

Saving Time & Money

Spoke is a Direct to Consumer (D2C) menswear brand, offering a focused edit of properly made clothes – aimed at delivering a flawless fit. By offering 20 times more sizes than the ...

Speed to Insight

The Modern Milkman is a milk and fresh goods delivery service, with a sustainable mission. They are passionate about reducing plastic waste and deliver milk and other goods using ...

Integrations

Connect your most important platforms in minutes

Out-of-the-box integrations unlock the value trapped within existing systems. Spare your engineering team from another tedious implementation and connect data instantly.

Our Latest Blog Posts

Low Code vs. No Code

A strong and dynamic market requires businesses to adapt quickly to remain competitive in their industry. Data has become the most fundamental asset, but how can you accelerate your data transformation to extract value from your data? 

Joining a data startup

Technology trends that have had the most impact on business have typically started with a drive in infrastructure. I started my career in 2005, during the rise of data and server virtualisation, which alongside network connectivity...

The purpose of a Data Warehouse

Without a data warehouse, accessing your data can be difficult. With so much, in so many places, it can be hard to find the time and resources to pull it altogether in one central repository.

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