Requirements for Implementing DaaS

First and foremost, firms must have a customer-centric culture that should be understood by all functional and business units, regardless of whether they are operating in existing processes or are driving innovation. Customer-centricity sets the scope for performance metrics and data collection.

Second, firms must have a data-centric culture. DaaS relies on constant and detailed data flow, and firms need to embrace the transformative power of data and set up the data pipeline infrastructure that includes data collection, cleansing, accessing, mining, experimenting, reporting, and visualization.

Third, top management needs to establish bold enterprise-level strategies (instead of at the functional and business-unit level) that are committed to build new businesses and focus on key performance outcomes.

Finally, getting the strategy right is important and this requires intense brainstorming and exchange of knowledge between the various stakeholders within and outside the organization.

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