Analytics for Competitive Advantage offered by Michigan State University
- Public University
5300 acre campus- Estd. 1855
Analytics for Competitive Advantage at Michigan State University Overview
Duration | 8 weeks |
Total fee | ₹1.88 Lakh |
Mode of learning | Online |
Course Level | UG Certificate |
Analytics for Competitive Advantage at Michigan State University Highlights
- Earn a masters certificate from Michigan State University
Analytics for Competitive Advantage at Michigan State University Course details
- For professionals who want to create value and a competitive advantage using analytics
- The way business analytics impacts organizational value creation
- Why it is important to have a strategic analytics orientation
- The role of a data scientist
- How to identify the stages of analytics evolution
- The challenges in creating an organizational analytics platform
- With the amount of internal and external information available today, successful managers need the ability to filter out the noise and hone in on the challenges that matter
- Explore why digitized business processes and data analytics are essential to the performance and competitive advantage of a modern corporation.
- Students will refine their ability to ask the right questions to avoid wasted time and effort solving for the wrong issues
- Discover different approaches for strategic data management and business analytics as they examine real-world cases of successes and failures with analytics-based business strategies
Analytics for Competitive Advantage at Michigan State University Curriculum
Competing With Analytics
The way business analytics impacts organizational value creation
Why it is important to have a strategic analytics orientation
The role of a data scientist
How to identify the stages of analytics evolution
The challenges in creating an organizational analytics platform
Using Analytics to Create Value
What you should know about the changing data environment and its implications for business
The 4 Vs of data
What the 'Internet of Things-has to do with business analytics
How analytics impacts industries and firms
Enterprise Data Management & Analytical and Modeling Tools
The value of enterprise resource planning systems (ERPs) and relational databases
What a data management lifecycle consists of
The differences between data storage and processing using structured vs. unstructured data
Statistical and modeling techniques for data analysis
Essentials of data mining
Value Chain and Business Analytics
The role of KPIs and the relationship between KPIs and analytics
Porter's Five Forces Model and how it can be used to identify analytics activities
Two strategic levers in applying analytics: changes in measuring customer engagement and computational computing
Porter's Value Chain
Marketing/Sales Valuation Processes
How analytics has and will continue to enhance marketing and sales processes
Specific marketing analytics activities that are increasingly used by many organizations today
Enterprise Risk, Supply Chain and HR Processes
Analytics value creation in the following areas:
Enterprise Risk Management
Finance
Accounting
Supply Chain
HR
Identifying & Defining Organizational Problems and Opportunities
Critical factors of enterprise analytics success
How to evaluate an appropriate enterprise analytics structure
How to manage an analytics project including value creation
The privacy and security challenges associated with business analytics
Telling the Story of the Data -Communication and Visualization
The importance of communication in the analytics process
The critical role of visualization in analytics
Different types of visualization approaches
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Analytics for Competitive Advantage at Michigan State University Contact Information
220 Trowbridge Rd, East Lansing, MI 48824, United States
East Lansing ( Michigan)