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Business Insight and Predictive Analytics
Welcome to an exciting new certificate program from
CMU Research Corporation
and Off-Campus Programs designed to help your
business learn the latest techniques in data mining and business
intelligence.
Turn your data warehouse into new opportunities
Learn how to be proactive in direct marketing, market-based analysis,
text analysis, supply chain, finance, risk analysis, fraud detection and
more by using the data and model decision-making process to extract full
value from your data.
Certificate program in Business Insight and Predictive Analytics
The certificate program content, designed to help organizations bridge the gap between data collection and data-based decision making is offered in three custom tracks or as stand alone courses.
| Executive and Management Track – 3 days | IT Track –7 days | Practitioner Track - 6 days |
| Major Concepts of Business Intelligence – 2 days* | Major Concepts of Business Intelligence – 2 days* | Major Concepts of Business Intelligence – 2 days* |
| Developing the Corporate Business Intelligence and Advanced Analytics Roadmap– 1 day | Data Management for Business Intelligence – 3 days | Exploratory Data Analysis: Preparation for Modeling – 2 days |
| Delivery of Model Results – 2 days | Predictive Modeling – 2 days |
Schedule
June 2008
June 13,2008 - Mount Pleasant, MI
The day after the CMU Research
Corporation presents their 7th
Annual Business Intelligence Forum in Mt. Pleasant, Michigan, the
following Business Insight and Predictive Analytics courses will be
offered:
- Developing the Corporate Business Intelligence and Advanced Analytics Roadmap (1 day course)
- Major Concepts of Business Intelligence (2-day course, one day Mt. Pleasant/ one day online) **DEADLINE TO REGISTER: MAY 23, 2008**
Cost
| Format | Cost Per Person | Multi-Registration Rate* (Per Person) |
| 1-day course | $375 | $325 |
| 2-day course (1 day online, 1 day in Mount Pleasant) | $875 | $855 |
| 3-day course | $1350 | $1325 |
*Multi-registration discounts are offered when two or more individuals
from the same organization register and pay for the same course(s) or an
individual registers and pays for two or more courses at the same time.
Course Descriptions:
- Major Concepts of Business Intelligence – 2 days (day one taken on-line) Learn the vocabulary of business
intelligence and how to identify the components of data- and model-based
decision-making processes. Students are introduced to the benefits and
limitations of predictive models, the attributes of good
decision-making, the requirement for good data models and examples from
various industries.
- Developing the Corporate Business Intelligence and Advanced
Analytics Roadmap – 1 day Identify the values of data- and
model-based decision-making and discover how to determine an
organization’s readiness to embrace the process. Participants study the
major evolutionary steps needed to go from intuition-based
decision-making, to data- and model-based decision-making. Participants
identify and analyze key organizational changes that are required to
move forward.
- Data Management for Business Intelligence – 3 days
Explore the relationship between structured and unstructured data, and extract, transform, and load methods for integrating diverse databases. Participants learn the differences between transaction processing, analytic processing, and model generation/usage.
- Exploratory Data Analysis: Preparation for Modeling – 2 days
(both days may be taken on-line) Discover how statistical
analysis differs from data mining and the importance of getting to know
your data. Students learn techniques to become familiar with their data
and the distinction between relationships and cause and effect.
- Predictive Modeling – 2 days Understand the
different types of predictive models and under what conditions they
might be used. Participants are made aware of the importance of
determining a model’s accuracy (or inaccuracy) and the limitations of
scope as well as the types of problems that are well served by
predictive models.
- Delivery of Model Results – 2 days Investigate the difference between designing a transaction processing application and a predictive model application. Students learn the types of knowledge extracted from models and how the results can influence business processes for improved performance.
For more information, contact K Schmittler at (800) 950-1144, ext. 7141
or k.schmittler@cmich.edu.
