The world is increasingly being driven by technology-intensive innovations which are data-driven, and business models are catching up. Companies are tending to be data and API-export economies and now investing heavily in not only harnessing and protecting data sources but also seeking solutions that can help them tap into their data sources and maximize value from the data resulting in insights. Insights can lead to preventive, corrective, and creative decision-making shaping product roadmaps and enriching their offerings. Apart from being sources of value enhancement and data poses risks of liabilities stemming from privacy violations. Hence the need for an enterprise data governance approach starting from Data management policy aligned to regulations, applying best practices for data collection, organizing, visualizing, through insight generation. The insights and macro-level business intelligence from legacy data reveal patterns that can shape product roadmaps. At the tactical and transaction levels data-driven automation approach can maximize value from operations thus meeting the purpose of Digital adoption. Hence the need for an expert third-party advisory approach for data management breathing in a fresh perspective into the data approach of entities starting with a diagnostic assessment, scoping, and delivery.