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Analytics Channel
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The term analytics refers to the applied use of statistical techniques to gain understanding and value from structured and unstructured information in enterprise, line of business, departmental and third-party databases and repositories. As the research firm Gartner Inc. has described, "Analytics leverage data in a particular functional process (or application) to enable context-specific insight that is actionable."
Analytics measure ratios and percentages, often employing complex mathematical algorithms to understand relationships within and among data sets. Statistical methods can be applied to both historic and near real-time data for separate or combined purposes. Business analysts, Web analysts, marketing managers and other users employ analytics for various business purposes. For example, financial analytics reveal trends and deliver what-if scenarios that affect the planning, budgeting and forecasting process. Customer relationship management (CRM) and marketing analytics employ data mining and predictive methodologies to address customer propensities to buy or churn and create measures of lifetime customer value. Web analytics are used to understand customer behaviors and optimize product and service offerings, marketing and sales campaigns. Still other analytic applications have an ancestry in search engines and address unstructured information through text mining.
Articles
Net Expectations
What a Web data service economy implies for business
Bringing Analytics to the Treatment Level
A program at H. Lee Moffitt Cancer Center includes data warehouse and analytics software to facilitate ongoing care of cancer survivors
Maximize Return for High Value Analytics Projects
Data validation and governance is of primary importance in any data project and can make or destroy any project’s usability, acceptance and value derivation
Organizations to Understand and Predict Customer Behavior with Text Analytics
Unsolicited feedback is everywhere and oftentimes people will tell you what they’re thinking without any prompting
Multidomain Master Data Management for Business Success
Companies rely on understanding multiple master data domains and the relationships between them to successfully manage their business
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Don't Forget The Staff
Analytics can help HR managers drive better workforce performance
Marketing Infrastructure for a Customer-Driven World
Marketers must adjust to changing expectations and communication challenges
Baseball + Analytics = Improved Performance
How does an organization create a culture of metrics? One example of organizations that have done so is the baseball community
Is Cost a Fact?
Design Challengers debate whether item cost amount should reside in the fact table or a dimension
In-a-Box Capabilities With Out-of-the-Box Thinking
Companies need to reduce costs and risk, increase agility and quality, and differentiate themselves
Ask The Experts
What is the difference between a recommendation engine and predictive analytics?
Questions: I am interested to learn more about the difference between the “recommendation engine” and the predictive analytics.
Is there a relatively easy way to determine the sample size required to be statistically valid for a marketing test?
White Papers
Books
Enterprise Master Data Management: An SOA Approach to Managing Core Information
By Allen Dreibelbis; Eberhard Hechler; Ivan Milman; Martin Oberhofer; Paul van Run, Dan Wolfson.
Oracle PL/SQL: Expert Techniques For Developers and Database Administrators
By Lakshman Bulusu
Business Metadata
By William Inmon, Bonnie O'Neil, Lowell Fryman
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White Papers
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Web Seminars
- Clinical Analytics and the Unified Electronic Health Record
- The Transformative Power of Smarter Analytics
- Making the Business Case for Predictive Analytics: Innovative Strategies for Maximizing ROI
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