Strategic Advantage Using Data Analytics
Transcript of Strategic Advantage Using Data Analytics
In today’s business world, labor, capital, raw materials, and data are all essential to an organization’s strategy. Many leaders have well-developed strategies for the first three, but they lack the understanding and direction to tackle the fourth: data.
This course focuses on how to build and implement a data strategy to improve organizational performance. Data and analytics programs offer great potential value, and to be effective they must align strategically across the business to deliver a positive return on investment. By understanding and integrating the five main components of a data strategy – Program, People, Process, Platform and Data – you will be able to grow your business and accelerate progress toward your organization’s goals.
WHO SHOULD ATTEND?
This three-day workshop is designed for directors and department managers who have a direct role in creating strategy and implementing processes within their organizations.
A C C E L E R AT I N G P O T E N T I A L & P E R F O R M A N C E
S T R A T E G I C A D V A N T A G E U S I N G D A T A A N A L Y T I C S
Strategic Advantage Using Data Analytics DESIGNING AND BUILDING A DATA STRATEGY TO IMPROVE BUSINESS PERFORMANCE
FACULTY
Jed Summerton
Jed Summerton is a senior practitioner of data management, business analytics and predictive analytics. As a consultant and executive he has served over 80 companies and nonprofits in developing and operating large-scale data-investment programs and analytic systems, and using them to build new business capabilities that transform organizational performance. His expertise is grounded in his extensive experience as a technical executive in managing best practices of international IT organizations, including at DaVita, GE Capital and Level 3 Communications. Jed teaches masters-level business analytics in the MBA and MSc programs at Daniels, where he also chairs the advisory board for the department of Business Information and Analytics.
C O U R S E INFORMAT ION
Camila Angelim | 303.871.4194 | [email protected] Executive Education | Daniels College of Business | daniels.du.edu/ExecEd
PROGRAM DATES, FEES, AND REGISTRATION:
daniels.du.edu/executive-education/workshops/strategic-data/
WORKSHOP BENEFITS
With a strong data strategy, you can exploit the power of data and advanced analytics to transform your business into a competitive powerhouse. In this three-day workshop you will:
X Create or refine a Balanced Scorecard of KPIs and metrics with supporting details in data
X Define and implement the right structures to govern and execute the analytics program and to steward the adoption of its insights into new business practices
X Understand the roles, skills and organizational strategy you’ll need to succeed
X Become proactive in leveraging business data to improve speed, quality, efficiency and customer experience
X Understand the available tools, platforms and practices for managing data
X Improve bottom line, reduce risk, and create a stronger brand
WORKSHOP AGENDA
STRATEGIC ADVANTAGE USING DATA ANALYTICS
Camila Angelim | 303.871.4194 | [email protected] Executive Education | Daniels College of Business | daniels.du.edu/ExecEd
DRAFT
Thursday, February 10, 2022
9:00 am - 9:30 am Welcome and Introductions
9:30 am - 10:15 am Competitive Imperative for a Data Strategy
10:15 am - 10:45 am Break
10:45 am - 12:00 pm Aligning business and data strategies: BSC
12:00 pm - 1:00 pm Lunch
1:00 pm - 2:15 pm Aligning business and data strategies: Balanced ScoreCard and KPIs
2:15 pm - 2:45 pm Break
2:45 pm - 4:00 pm Program: Program Governance and Data Governance
Thursday, February 17, 2022
9:00 am - 10:15 am People: Roles, Skills, Organizational Models
10:15 am - 10:45 am Break
10:45 am - 12:00 pm Processes: Development (Agile)
12:00 pm - 1:00 pm Lunch
1:00 pm - 2:15 pm Data-Driven Business Operations
2:15 pm - 2:45 pm Break
2:45 pm - 4:00 pm Self-Service Analytics
Thursday, February 24, 2022
9:00 am - 10:15 am Platforms and Tools
10:15 am - 10:45 am Break
10:45 am - 12:00 pm Data Management and the Data Catalog
12:00 pm - 1:00 pm Lunch
1:00 pm - 2:15 pm Laws and Ethics of data collection and usage
2:15 pm - 2:45 pm Break
2:45 pm - 4:00 pm Culture, Adoption and Change Stewardship, Workshop Debrief