Carey Business School (JHU)
Oct 17, 2017 to Oct 18, 2017
When organizations and executives think about cyber security, most think only about the need to install the latest technology to protect against breaches or, that since they aren’t in the IT department, they don’t have a significant role. While technology is important, an organization's policies and employee’s security awareness are crucial to keeping data secure. Managing an organization's risk of a breach can be overwhelming for managers and executives, particularly if they don’t have a well-defined approach. However, by examining and understanding the "big picture” of cybersecurity, organizations across any industry are able to effectively assess their unique needs and develop an appropriate roadmap and plan of action. This seminar will discuss a strategic approach to cybersecurity that takes technical and nontechnical components into account. Case studies of organizations across a diverse set of industries will be presented to apply the principles learned to real world situations.
Rotman School of Management (U of T)
[No dates specified]
Equip yourself with a foundation in data literacy to help you to understand, interpret and ultimately influence data analysis.
McCombs School of Business (McCombs)
Nov 06, 2017 to Nov 07, 2017
The fundamental analytical tool for discovering, analyzing and forecasting relationships is regression. Forecasting applies regression to past relationships, looking for trends, seasonal patterns and hidden correlations that can be predicted reliably into the future. Whether it is modeling customer retention rates, developing an optimal bidding strategy in a sealed bid process, hedging a firmâs revenue, or forecasting future profitability of individual customers, monthly sales, or daily stock prices, managers can chart a successful course with regression and forecasting methods.
Rutgers Business School (Rutgers, State University of New Jersey)
New Brunswick, NJ
Nov 29, 2017 to Dec 01, 2017
Data is ubiquitous. Each nugget of data holds insight that can help us improve business operations, reduce the cost of doing business, target profitable customers, gain a competitive advantage, make better decisions, and most important of all, formulate strategy for our businesses. But data is only impactful if businesses can quickly determine how to best use it. According to IBM, “Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone.” With the cost of data storage decreasing day by day, gone are the times when a business worried about what data to store and how often to purge. Businesses are now swimming in a sea of data due to a shortage of expertise in managing data, as well as the lack of processes, tools, and training necessary to create analytical models that would improve business ROI. Empirical evidence proves that companies leveraging data to make it a core pillar in their decision-making are gaining a competitive edge in their industries. A study performed by Andrew McAfee and Erik Brynjolfsson showed that “companies that inject big data and analytics into their operations show productivity and profitability that are 5% to 6% higher than those of their peers.” Data Driven Leadership is designed to empower business leaders to institute data science principles and practices into individual departments and throughout their organizations. It gives leaders practical knowledge to build and lead teams of data scientists to manage analytical functions within their organization. Participants will interact with a roundtable of data experts from multiple industries as they describe their organizational transformation journeys into data-driven enterprises.
Nov 30, 2017 to Dec 01, 2017
Jun 06, 2018 to Jun 08, 2018
Sloan School of Management (MIT Sloan)
Big Data 4Dx is a live, online offering of our popular Big Data program. Conducted using exciting AvayaLive EngageTM technology, participants experience the on-campus session of Big Data as avatars in a web based, “4D” environment, engaging with the same faculty, content, discussions, and exercises of the on-campus class—in real time. The program explores how big data changes the way IT interacts with the rest of the organization, cutting across business units and functions to create new value, and how it can have a huge impact on business results.
Kellogg School of Management (Kellogg)
Engaging, practical and cutting-edge, this program will inspire you to design and implement data-driven marketing strategies for your organization. Representing a fundamentally different approach to marketing, the program presents a holistic view of data-driven marketing by including concepts from branding, campaign management, marketing metrics, marketing analytics, technology management, change management and finance.
In a collaborative learning environment, you will learn how to measure marketing ROI, justify marketing spending, maximize marketing impact in consumer and business-to-business settings, optimize Internet marketing, adopt best practices for customer lifecycle management and implement state-of-the-art segmentation techniques. Other topics include simplifying data analysis, future trends in marketing, value-based marketing, and search-engine marketing.
Note: The April 2016 program will be held at Kellogg's downtown Chicago campus, Wieboldt Hall, located at 340 E. Superior Street.
The April 2016 program fee includes classroom instruction, program materials, breakfast, lunch and coffee breaks. Accommodations are not included.