What you will learn
- Vision - What does a Digital Enterprise look like? How does it work?
- Roadmap - How do we get there? What’s the pathway to change?
- Process - What can we do with the data? New processes? New values?
- Communication – How can we lead digital teams at scale?
- Culture - How can we prepare the organization, the employees, and the leadership for optimizing digital technologies and processes?
Organizations are pressured to become digital enterprises for good reason. Today every company is a technology company at its core. Only through integrated information technology systems designed for business analytics can companies sense and respond to changing market demands.
Business agility demands a digital enterprise.
Digital technologies have the potential to transform organizations into lean, agile businesses that are strongly focused on their customers. But, just introducing digital technologies into an enterprise is not enough. Without the right organizational culture, business processes, and active people training, you will not realize the full value of digital technologies.
In this program, we help you see the dynamic capabilities of your organization. Using the fitness landscape model we help managers see where they are in relation to other organizations and how to reconfigure their dynamic capabilities to move higher up the competitive fitness landscape.
These “dynamic capabilities” include both the social and the digital - how we work and the technologies that support it.. Terabytes of processing and machine learning won’t be the solution to your business problems on their own. As companies pursue big data and cloud computing strategies to improve their decision making with actionable insights - the technologies will change. To truly sustainably improve the customer experience and achieve the competitive advantage that the power of data promises, you need the social technologies and processes that are able to adapt along with your data strategy.
This ability to reconfigure and deploy new capabilities within the organization by creating, extending, or modifying the existing resources is a “dynamic capability.” With the speed of technology disruption, business leaders must enable their company to adapt.
This certificate will also teach you about how to discover data sources in your company, and leverage those structured and unstructured data to improve your whole business. From supply chain sourcing to marketing and delivery.
These lessons will help you make the right choices about digital transformation to make your organization better fulfill its mission and delight customers. To get there you must first understand the vision of a digital enterprise, what it looks like, how it operates, and why it’s so powerful in delivering results.
Courses in this program
UMD and USMx's Transforming Your Company’s Data Analytics: Championing the Digital Enterprise Professional Certificate
- 2–3 hours per week, for 4 weeks
Learn how data analytics powers the digital organization and gives it a competitive edge.
- 2–3 hours per week, for 4 weeks
Learn how to transform an organization digitally through simulations and case studies by applying the Disciplined Agile Delivery framework to work through three simulations.
- 2–3 hours per week, for 4 weeks
Drive alignment among managers, employees and the organizational goals through data analytics and data products. This course on digital transformation will show you how to turn your organization into a decision-making factory.
- 2–3 hours per week, for 4 weeks
Learn how to gain traction for your digital transformation initiatives with stories based on data that use compelling data visualizations to build a persuasive business case.
- According to Price Waterhouse, “requirements for data science and analytics jobs are often multidisciplinary and they all require an ability to link analytics to creating value for the organization.”
- Price Waterhouse also estimates that there will be 2.7 million job postings for data science and analytics roles.
- A 2011 McKinsey research report found that data-savvy managers are needed to organize the organization’s data science teams to create centers of excellence that connect with the rest of the organization.
- The median salary for a project manager who leads a data analytics team is $107,000 according to Glassdoor.com.
Meet your instructor from The University of Maryland, College Park (UMD), University System of Maryland (USMx)
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