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Organizations clinging to outdated data management methods are struggling to realize data’s potential and keep pace with the demands of a hyper-competitive digital world. The data-as-a-product approach revolutionizes traditional data management by grounding it in product management principles. Our step-by-step research can help IT and data leaders treat data as a product – with customer needs front and center – to optimize data management, enhance service to data customers, and align data initiatives with organizational goals.

As organizations face exponential data growth, traditional data management methods fall short, leading to poor data quality, slow data delivery, and missed opportunities. By treating data as a vital asset and adopting a product management approach that prioritizes the data customer, organizations can unlock the full potential of their data.

1. Transform your raw data into a meaningful product.

With an emphasis on customer-centric design and scalability, the data-as-a-product approach can transform data assets into strategic tools that drive innovation, improve decision-making, accelerate growth, and ultimately deliver value to data product customers. Examples of data products include chatbots, fraud detection systems, and analytics dashboards.

2. Data-as-a-product is not plug-and-play.

Organizations that lack strong data quality, effective data management, modern technology, and a data-driven culture may struggle with implementing the data-as-a-product approach. However, with a clear understanding of your data customers’ needs – along with a well-defined data opportunity and use case – organizations can take the first steps toward implementing this approach.

3. (Customer) knowledge is power.

When a data product fails, it is typically because the focus was on developing the solution first and then searching for problems that it can solve. Success comes from prioritizing a deep understanding of customer needs and then building data products that address those needs. Successful data product teams embrace a customer-first mindset.

Use our step-by-step research to help you drive value from your critical data assets

Implementing the data-as-a-product approach will optimize how data is managed across your organization to better serve your data customers. This research provides an overview, along with practical tools to help you launch your customer-centric data-as-a-product journey:

• Assess whether your organization is ready to adopt the data-as-product approach by evaluating key dimensions of readiness.
• Create personas to gain insights into your customers and their journey with the data product.
• Define the data opportunities and use cases, then prioritize the most impactful ones.
• Evaluate and prioritize the right use case for your pilot data product.
• Select your pilot data product and align on a shared vision.