Key Principles of Data Product Management for Maximizing Business Value

Although almost every company in the world recognizes the power of data, most struggle to unlock its full potential. Companies such as Google, Amazon, and Uber that primarily deal with data are among the most valuable in the world, in terms of market capitalization, business performance, and innovation. One of the key reasons for their…

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Harnessing Data: From Resource to Asset to Product

Companies that are data-driven demonstrate improved business performance. McKinsey says that data and analytics can provide EBITDA (earnings before interest, taxes, depreciation, and amortization) increases of up to 25% [1]. According to MIT, digitally mature firms are 26% more profitable than their peers [2]. Forrester research found that organizations using data are three times more…

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Data Product vs. Data as a Product (DaaP): Understanding the Difference

Data quality (DQ), which ensures that data is fit for business and consumer needs, remains a significant challenge and is growing more complex. According to a dbt Labs 2024 report, 57% of survey respondents identified data quality as a challenging aspect to data preparation, up from 41% in 2022.  To address these data quality challenges, companies increasingly…

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How to Become a Data Product Manager

Becoming a data product manager means taking responsibility for the development and management of data products. Broadly speaking, a data product is any software or algorithms that use data to accomplish a goal. The data product manager is a management position, and requires several years of experience within the data industry to be done well. …

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