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WHY IS AN OUTCOME-DRIVEN DATA STRATEGY ESSENTIAL?
1. Today’s business strategies depend more and more on “data” either to digitize a process through automation, customize customer and employee experiences, for growth in new markets or through acquisition. Aligning a data strategy to the business strategy — so that the business strategy can be achieved — is the primary reason to have a data strategy. A data strategy must resonate within all levels of the organization. It needs to have the meaning and context of the business.
2. A company needs a data strategy to prioritize its work. We all know that the amount of data a company generates and uses is significantly more than before. There will always be more data issues and requirements than resources. The company needs a way to prioritize its data activities on what will bring the most value through the data strategy. The strategy needs to be “living and breathing” and fully aligned with the business priorities yet flexible enough to shift as the business transforms and matures. It can’t just be some words in a document but must take “life” within the organization.
3. A data strategy outlines all the data capabilities that must be built to achieve business outcomes. That includes data quality management and tools, business capabilities such as organizational structure, data acquisition, and data network strategy, compliance, and ethics capabilities. Also, to lay out a roadmap to develop evolving skills over multiple years while setting expectations on what can be delivered, at what time frame, cost, and required executive support.
THE INSTRUCTOR – MARIA C. VILLAR
Maria C. Villar teaches this class and is SAP’s Head of Enterprise Data Strategy and Transformation. Maria advises SAP customers on the crucial role of data management in their digital transformation, leveraging over 20 years of practical, operational experience as the Chief Data Officer (CDO) of three companies, including SAP from 2009-2017.