Master Data-Driven Successwith Smarter Data Products
Take action today.Learn actionable strategies to build smarterdata products that deliver measurable business value
What are data products& why do they matter?
In the modern enterprise, data products are revolutionizing how businesses derive value from their data. These curated, reusable assets turn raw data into actionable insights, enabling better decision-making, improved efficiency, and new revenue streams.
But what exactly are data products?
According to Gartner®, a data product is essentially a set of data, metadata, semantics, and templates curated and maintained to be immediately useful for specific business objectives. They are reliable, reusable resources that directly link to your business cases, helping you reduce costs, generate new revenue, minimize risks, and enhance operations.
In essence, data products turn raw data into strategic assets, offering a direct path to actionable insights and more reliable decision-making. They are trusted sources of information for both business users and data experts, ready to use, easily accessible, organized, governed, and designed to solve real business problems.
Benefits of data products include
Accelerated time to insight
By providing organized, high-quality data tailored to specific business needs, data products streamline the process of deriving insights, enabling quicker decision-making.
Trust and quality
Data products are curated to ensure high quality and trustworthiness, which are crucial for informed decision-making.
New revenue streams
By monetizing data through well-designed products, organizations can unlock new revenue opportunities.
Enhanced business-IT collaboration
Data products serve as a common language between business and IT teams, fostering collaboration and ensuring that data initiatives align with business objectives.
Agile delivery
The structured nature of data products supports agile methodologies, enabling rapid development and deployment of data solutions.
Reusability
Once developed, data products can be reused across various business scenarios, reducing redundancy and promoting efficiency.
The business value is real.What's your use case?
Organizations using data products see real, measurable benefits:
- Accelerated decision-making: You equip your teams with the insights they need to act fast.
- Operational efficiency: Optimize workflows to reduce costs and improve outcomes.
Revenue growth: Monetize data assets by turning insights into innovative products and services. - Risk management: Leverage predictive analytics to stay ahead of potential disruptions.
Your Free Resource:Data Product Strategy Workbook
Don't wait. Unlock the valueof your data today.
Take the first step toward impactful data products.
This practical guide provides strategic insights,
a quantifiable approach to business value,
an actionable framework, and real-world applications.
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More Information
At the heart of your data product strategy lies the need for a platform that simplifies development and management.
One Data is the go-to software solution for building, managing, and scaling impactful data products.
Frequently asked questions
Data products are versatile and can be applied across industries, including finance, healthcare, logistics, retail, and manufacturing.
Example: thyssenkrupp Steel Europe used data products to optimize logistics and supply chain operations. By leveraging real-time analytics and predictive modeling, they reduced inefficiencies, improved tracking, and cut costs, resulting in significant operational improvements.
One Data provides tools for automating repetitive tasks, managing lifecycles, and fostering collaboration across teams, ensuring that data products are efficient and effective.
The timeline depends on the complexity of your use case and existing infrastructure. However, with frameworks like data as a product, many organizations can start seeing value within weeks.
A data product manager ensures that data products align with business goals. They oversee the lifecycle, ensure data quality, and facilitate collaboration between IT and business stakeholders.