PPT-Data Science, Analytics and Intelligence

July 2728 2016 Life Sciences Forum On Strategies For Ensuring Accuracy Throughout The Data Integration Process Alex Drigan Senior Director BI amp Insights AGENDA Rules for Success Understand where you are and what you need then Define Success. Dr. Brand Niemann. Director and Senior Data Scientist. Semantic Community. http://semanticommunity.info/. http://www.meetup.com/Federal-Big-Data-Working-Group/. http://semanticommunity.info/Data_Science/Federal_Big_Data_Working_Group_Meetup. Chap 2: Data Analytics Lifecycle. Charles . Tappert. Seidenberg School of CSIS, Pace University. Data Analytics Lifecycle. Data science projects differ from BI projects. More exploratory in nature. Critical to have a project process. and. Data Management. Stephen D. Ambrose. 1. , Elizabeth Hoy,. 2. Peter Griffith. 3. 1. NASA CISTO Climate Model Data Services (CDS), . 2, 3 . NASA Carbon Cycle and Ecosystems Office. NASA, GSFC Greenbelt, Maryland. Eighth Edition. Chapter # 6. Enhancing Business Intelligence Using Big Data and Analytics. Learning Objectives. 6.1. Describe the need for business intelligence and advanced analytics and how databases serve as a foundation for making better business decisions.. James Pick and Namchul Shin. 1. Definition of Spatial Big Data. Big Data . are “data sets that are so big they cannot be handled efficiently by common database management systems” (Dasgupta, 2013).. Eighth Edition. Chapter # 6. Enhancing Business Intelligence Using Big Data and Analytics. Learning Objectives. 6.1. Describe the need for business intelligence and advanced analytics and how databases serve as a foundation for making better business decisions.. . Chap 11: Adv. Analytics – Tech & Tools:. In-Database Analytics. Charles . Tappert. Seidenberg School of CSIS, Pace University. Chapter Contents. 11.1 SQL Essentials. 11.1.1 Joins. 11.1.2 Set Operations. Information Systems Development. Learning Objectives. Upon successful completion of this chapter, you will be able to:. Explain the difference between BI, Analytics, Data Marts and Big Data.. Define the characteristics of data for good decision making.. Introduction What You146re Going to Learn3 Ch 2 The Business Intelligence MarketCh 3 The BI Process Step 1 - IngestionCh 4 The BI Process Step 2 - AnalysisCh 5 The BI Process Step 3 - DeliveryCh 7 Tayaba Nadeem. Business Intelligence Services Team Leader. 317.224.1289. Tayaba.Nadeem@mcmtsg.com. Business Intelligence. What is Business Intelligence?. Process of understanding data. Process of using data. Dr. Sagar . Samtani. Assistant Professor and Grant Thornton Scholar. Kelley School of Business, Indiana University. 1. Bootcamp Background – AI-enabled Analytics. Artificial Intelligence (AI) has rapidly emerged as a key disruptive technology of... M. Afdal, ST., . M.Kom. m.afdal@uin-suska.ac.id. Introduction :. Overall goals of this class. Students are able to analyze . digital business strategies using digital marketing . techniques such as SEO and SEM for the benefit of entrepreneurs.. What is Business Intelligence?. Business Intelligence (BI) refers to the technologies, applications, and practices for the collection, integration, analysis, and presentation of business information. . July 10, 2014. Lead by Steve . Kempler. , Tiffany Mathews. Please sign attendance sheet. ESDA Cluster Mission (reminder). Mission. :. To promote a common understanding of . the . usefulness of and activities that pertain .