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What is a Data Product

“The goal is to turn data into insights and insights into a data product .”

Sharad Varshney

LinkedIn’s people recommendations, Amazon’s product recommendations, Quora are some of the thriving data products. Data products can be defined as a blend which primarily use data to build a product or service. They use more than just analysis, they leverage insights. As data products bring insight and intelligence into the customer experience, they are crucial for your company’s success. Data products are the helm of a data-driven business, getting better with every use. At OvalEdge we worked with many organizations in creating these data products: Supply Chain Optimization, Appeal Reduction, Global Tax Hub etc.

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Building a New Data Product

It Starts with Multi-source Data

Build your Data Catalog in weeks

Break organizational silos by just collecting the metadata, data statistics from all the available sources.
This way you know what all data exists and how to leverage it for your business case.

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Connect people to the right data

Conduct your workshop with agility and efficiency

OvalEdge simplifies the task of researching data and understanding it. This process usually takes months but after using a workshop approach and OvalEdge tool, you can finalize all the requirements within a few weeks.

Increase throughput with improved visibility and shared knowledge

When your project team can not answer the question about a dataset, you need to ask questions from SMEs. OvalEdge provides a mechanism to find the owner or most knowledgeable person about a specific dataset. It also enables multifunctional teams to collaborate.

Collaborate with various data teams with due governance

When you collaborate with multifunctional teams, it’s important to assign roles and responsibilities, otherwise things go awry. OvalEdge facilitates due governance in collaboration.

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Build using suitable technology

Data products may require mutiple technology. It may require machine learning to create an algorithm, ETL technology to transform data, visualization software to visualize data or NoSQL database for the search engine.

Integrated Data Catalog provides a mechanism to understand the building blocks.

Connect with various databases, ETL technology, visualization software or NoSQL databases to understand the building process.

See OvalEdge in action

Draws Lineage

Draws Lineage

to show the complete data cycle
Indexes

Indexes

all your data
Organizes

Organizes

your data for easy retrieval
Summarizes

Summarizes

data for quick understanding
Marks Relationship

Marks Relationship

to show you the complete picture

OvalEdge recognized as a leader in data governance solutions

SPARK Matrix™: Data Governance Solution, 2025
Final_2025_SPARK Matrix_Data Governance Solutions_QKS GroupOvalEdge 1
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Total Economic Impact™ (TEI) Study commissioned by OvalEdge: ROI of 337%

“Reference customers have repeatedly mentioned the great customer service they receive along with the support for their custom requirements, facilitating time to value. OvalEdge fits well with organizations prioritizing business user empowerment within their data governance strategy.”

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Named an Overall Leader in Data Catalogs & Metadata Management

“Reference customers have repeatedly mentioned the great customer service they receive along with the support for their custom requirements, facilitating time to value. OvalEdge fits well with organizations prioritizing business user empowerment within their data governance strategy.”

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Recognized as a Niche Player in the 2025 Gartner® Magic Quadrant™ for Data and Analytics Governance Platforms

Gartner, Magic Quadrant for Data and Analytics Governance Platforms, January 2025

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 

GARTNER and MAGIC QUADRANT are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

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