Intelligent CXO Issue 30 | Page 27

BUSINESS STRATEGY
should be aware of where data resides within an organisation and the means to access it . Further , since the bedrock of a data product hinges on data quality , these managers must be versed in data quality and data trustworthiness .
Suki Dhuphar , Head of EMEA , Tamr
2 . Grasp analytics
A firm understanding of analytics is pivotal for data product managers . They need to comprehend how business leaders utilise analytics for informed decision-making , especially since data consumers predominantly engage with data products through these analytics . Additionally , since good data products utilise Machine Learning models , it ' s beneficial for these managers to have foundational knowledge of AI and Machine Learning to streamline the implementation of data products .
An essential part of modern day businesses
3 . Measure value
Many organisations start by releasing a minimum viable data product when first implementing their data product strategy to demonstrate the value of data products within the organisation and bolster their adoption . Over time , the data product becomes normalised within the organisation , gaining more features and improving its value . Therefore , data product managers must know how to evaluate usage and value to show the benefits delivered by their data product .
The demand for data products is skyrocketing and rightfully so . They empower companies across industries to get the most out of their data . However , their successful integration into any data ecosystem requires a rethink of current data roles .
Data product managers are an essential part of a data team . Leaders who employ the right people with the right skills will be one step ahead in delivering high-quality data products to the business . x www . intelligentcxo . com
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