Data is becoming a key differentiator in business and has been referred to as the new oil but what does that mean? With data, an organisation can more quickly refine its market offering to optimise the value of its business. Quickly adapting to changes in customer and market behaviour. Or even build out entirely new data-dependent value chains for the organisation, often called Infornomics.

In this course, we will learn to align the data strategy with the business strategy. To balance the pillars of a data strategy:

• Data Analytics: Data Assets, Analytical Insights, and Data Science Insights

• Data Services: Data Platforms, Engineering and Operations

• Data Governance: Data Ownership, Data Controls, and Data Curation

• People: Data Citizens, Data Professionals, Data Skills

You will learn to avoid the common pitfalls of a data strategy and acquire the skills to face the challenges of delivering a data strategy and getting it accepted by the organisation.

The course breaks down the data strategy into components parts and provides techniques for analysing the current data landscape. This analysis allows the identification of concerns which can be addressed through a strategic plan of change within the data strategy.

The course includes some quizzes to embed the terminology we will learn and some assignments to practice the techniques. Each assignment has a worksheet and example answer.

The final data strategy needs to be optimised for the organisation's situation and culture. The course can help you prepare to deliver a narrative for your organisation's data strategy.