Business Analytics: Identifying and Capturing Value Through Data

Columbia Business School Executive Education
Business Analytics: Identifying and Capturing Value Through Data

Course description

Business Analytics: Identifying and Capturing Value Through Data

Companies such as Google, Disney, Capital One and Walmart are good examples of companies that have effectively used data analysis to drive rapid, precise and highly profitable decisions. A number of recent startups like Splunk and Palantir are based on the application of analytics to large data bases. With the increasing availability of "Big Data", business analytics are becoming a vital capability for small and large businesses alike.

Participants of this Business Analytics course will be able to:

  • Identify, evaluate and capture business analytic opportunities that are value-creating.
  • Use the data to develop insights and predictive capabilities using machine learning, forecasting techniques and data mining.
  • Understand how optimization can support decision-making in the presence of business constraints and a large number of alternatives.
  • Explore the challenges associated with implementing analytical approaches.

Attending the program has the following benefits:

  • Help you think critically about data and the analyses based on those data.
  • Enable you to identify opportunities for creating value using business analytics.
  • Expose you to many different applications of business analytics across sectors and industries.
  • Empower you to estimate the value created using business analytics to address an opportunity.
Want to find out more?

COVID-19 Update

In light of COVID-19, this provider is now delivering some or all of their courses online. Contact them for more information!

Who should attend?

This course is suitable for executives who need to gain a better understanding of how to leverage data. It is also ideal for those working in consulting firms whose backgrounds may be in strategy, strategic planning, or process optimization.

Training content

Course Contents

Day 1: Predictive Analytics

On day one, we will cover applications in consumer lending, recommendation systems, healthcare analytics, financial analytics, and sport analytics, which will allow you to:

  1. Predict outcomes
  2. Assess the quality of our predictions
  3. Quantify the economic trade-offs that result

Day 2: Prescriptive Analytics

On the second day of the program, we will discuss different frameworks to support decision-making in organizations, which allow you to:

  1. Leverage the data already collected
  2. Simulate the future to quantify today’s trade-offs
  3. Optimize millions of decisions in conjunction with thousands of business and physical constraints

We will cover applications in retail, insurance, pharmaceutical detailing, and financial analytics among others.

Day 3: The Analytic lifecycle

On the third day, we will discuss the analytic lifecycle, including:

  1. Diagnosing inefficiencies
  2. Identifying the appropriate analytical approach
  3. Deploying a decision-support system

Costs

See the schedule above or use the request information form to learn the cost of this course.

Certification / Credits

Upon completion of this program, you will earn three days towards a Certificate with select alumni and tuition benefits.

About Columbia Business School Executive Education

Columbia Business School Executive Education

Columbia Business School Executive Education provides executives from across industries and sectors with the tools, frameworks, and learning needed to lead and excel. Designed for high-impact business leaders, our offerings include over 50 non-degree, open-enrollment programs in leadership, strategy, finance, and marketing...


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Columbia Business School Executive Education


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https://www8.gsb.columbia.edu/


Reviews

Average rating 5

Based on 2 reviews.

Raul Lozano
Don Cantow
Businesses often shy away from real analytics thinking they understand fact decision making. This course takes it to a much higher level than common practice.
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