- Descriptive, Prescriptive, and Predictive Analytics
About the Webinar
Data analysis can be divided into descriptive, prescriptive and predictive analytics. Descriptive analytics aims to help uncover valuable insight from the data being analyzed. Prescriptive analytics suggests conclusions or actions that may be taken based on the analysis. Predictive analytics focuses on the application of statistical models to help forecast the behavior of people and markets.
This webinar will compare and contrast these different data analysis activities and cover:
- Statistical Analysis – forming a hypothesis, identifying appropriate sources and proving / disproving the hypothesis
- Descriptive Data Analytics – finding patterns
- Predictive Analytics – creating models of behavior
- Prescriptive Analytics – acting on insight
- How the analytic environment differs for each
About the Speakers
Founder & CEO, First San Francisco Partners
Kelle O’Neal is Founder and CEO of First San Francisco Partners, an Enterprise information Management (EIM) consulting firm. A veteran leader and accomplished advisor in the information management sector, as well as a speaker, author, and trainer, Kelle is passionate about helping organizations apply data intelligence to gain a true competitive advantage.
Kelle’s strong background in customer relationship management, enterprise software, and systems integration uniquely positions her to excel in helping organizations of all sizes and complexities successfully execute on Data Governance, Organizational Change Management, Master Data Management, Data Insights and Analytics, and other EIM initiatives.
Kelle developed her ability to work through organizational complexity, build consensus, and drive results in senior roles at companies that include US-based firms GoldenGate Software, Siebel Systems, and Oracle. She also worked at the executive level in Europe and Asia. Under her leadership of First San Francisco Partners, the firm’s client list has grown significantly over the years, as has its consulting and support teams – and FSFP will celebrate its 10th anniversary in April 2017.
Kelle’s thought leadership and training has been featured on CIO.com, Data Informed, B-Eye Network, Data Management Body of Knowledge, and DATAVERSITY. She received her MBA from the University of Chicago Booth School of Business, and she holds a BA degree from Duke University.
President and Chief Delivery Officer, First San Francisco Partners
John Ladley is a business technology thought leader and recognized authority in all aspects of Enterprise Information Management (EIM) with 30 years’ experience in planning, project management, improving IT organizations, and successful implementation of information systems. Prior to joining First San Francisco Partners in 2015, John was CEO and President of IMCue Solutions, a consultancy he founded in 2007. At IMCue, John led a team focused on improving a client’s business results through business intelligence, information management, and data governance. John is widely published, co-authoring a well-known data warehouse methodology and a trademarked process for data strategy planning. His books: Making EIM work for Business; A Guide to Understanding Information as an Asset and Data Governance; and How to Design, Deploy, and Sustain an Effective Data Governance Program; are recognized as authoritative sources in the EIM field. John frequently writes and speaks on a variety of technology and EIM topics. His information management experience is balanced between strategic technology planning, project management, and practical application of technology to business problems.
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