Enhance Your Applications with Embedded BI
November 3, 2015
Lyndsay Wise Managing Director Business Intelligence & Data Warehousing Enterprise Management Associates
Dean Yao Director of Marketing JReport
Panel Moderator
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John Myers, Managing Research Director, EMA John has over 10 years of experience working in areas related to business analytics in professional services consulting and product development roles. Additionally, John helps organizations solve their business analytics problems, whether they relate to operational platforms – such as customer care or billing – or applied analytical applications – such as revenue assurance or fraud management.
Featured Speakers
Lyndsay Wise joined EMA in 2015 as Research Director for Business Intelligence (BI) and Data Warehousing, focusing on data integration, data governance, cloud technologies, data visualization, analytics, and collaboration. She has over 10 years experience in software research, BI consulting, and strategy development, specializing in software evaluation and best-fit solution selection.
Dean brings over 10 years of experience in software marketing and product management. Previously, Dean was a senior product manager at cloud computing startup Nimbula (acquired by Oracle), where he focused on technical best practices, competitive marketing, and product strategy. Dean was also in technical marketing at VMware, specializing in virtualization clustering and resource management products. He started his career in hardware virtualization research at Intel Research Labs. Dean earned his Ph.D. and M.S. in Computer Science from the University of Southern California, and a B.S. in EECS from UC Berkeley.
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Logistics for Today’s Webinar
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An archived version of the event recording will be available at www.enterprisemanagement.com
• Log questions in the Q&A panel located on the lower right corner of your screen
• Questions will be addressed during the Q&A session of the event
Questions
Event recording
Event Presentation
A PDF of the PowerPoint presentation will be emailed to you tomorrow.
Agenda
• What is embedded BI? • Embedded BI versus traditional BI applications. • Types of data used within embedded BI applications. • How to integrate BI within an application. • Self-service capabilities of embedded BI. • BI needs of SMBs versus enterprises. • A look at the mid-market.
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Leveraging Analytics Within Applications
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Process
Technology
People
Self-Service Analytics Access
Embedded BI Solutions
Integration of Technology and
Data Access
What are the Reasons/Drivers for Selecting Embedded BI versus Traditional BI Applications?
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Evaluating Data Management Techniques
• What types of data are being used within embedded applications?
• How is decentralized data managed?
• Why is mashing up data from different sources important?
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Selecting the Right Place to Embed
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Functional Integration
Standalone
App Server Integration
Application Embedding
Dep
loym
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nteg
ratio
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URL API Java API Web layer Business layer
Front-end Embedding
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Calling a report by URL: http://localhost:8888/jinfonet/tryView.jsp?jrs.cmd=jrs.try_vw& jrs.catalog=SampleReports/SampleReports.cat& jrs.report=SampleReports/MultimediaObjects.cls&jrs.result_type=8
How is self-service applied within embedded BI and how is it different from other types of analytics?
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Self-service BI vs Traditional BI tools
Self-Service Data Visualization
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Customizable
Drag and drop Highly interactive
Reusable
Self-Service Data Analysis
• Mash up centralized & decentralized data
• Agile analysis
• In-memory cubes
• Product consistency
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What are Specific Needs For SMBs and How Do They Differ From Enterprise Requirements?
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EMA Radar™ for Business Intelligence Platforms for Mid-Sized Organizations
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Q&A – Please Log Questions in the Q&A Panel
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• Streamlining the Process of BI for Mid-Sized Orgs • www.jinfonet.com ! Resources ! White Papers
• Demo videos • Free trial download
• Contact • Lyndsay Wise, [email protected] • John Myers, [email protected]
• Dean Yao, [email protected] @ema_research @Jinfonet
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