If you’re a leader making business decisions for your organization, data should be your second language. Data literacy is essential even for executives in non-technical roles, especially in industries with massive data streams such as IT services, banking and financial services, health care and many more. In fact, we all need a data vocabulary, a working knowledge of the projects our digital unit can execute, and an ability to translate our business goals to “data speak” for our analytics team.
As cloud-based systems make accretion of data points cheap and easy, the question becomes: Do you know what to do with all that data? Do you know how to interpret it, gain value from it? Learning to decipher and integrate data will help you improve your business decisions and optimize outcomes.
What’s more, you are in a position to help your entire organization make the shift to data fluency, building trust in quality data and competence in using it. Demystifying data can become a core, pragmatic element of your company’s identity, mission, and professional development plan, helping to build a culture of evidence-based, informed decision-making.
What you’ll get:
- Improved data literacy, the ability to communicate effectively with data analysts to understand when to use (and how to interpret) descriptive, predictive, and prescriptive analytics
- Expert guidance on evaluating various data analytics tools, such as dashboards, machine learning, prediction models, and regression analysis
- Techniques to apply scientific thinking to business, such as examining cause and effect in data analysis and designing an experiment
- A deeper understanding of how to build a data-driven organization, including managing privacy concerns and developing strategies for cultivating evidence-based decision-making