Data is everywhere. Transactional data, big data, cloud data, decentralized data, governed data – you name it. With the ever-growing demand to analyze data, chances are your product or application needs to present this data for interactivity and decision-making. Application developers understand their users want to mashup centrally governed data with their own data, within a single, coherent view. But how do you embed the power of business intelligence (BI) into your existing application to work with all your data?
Join Dean Yao from JReport along with John Myers and Lyndsay Wise from leading IT analyst firm Enterprise Management Associates (EMA) for insights on how to leverage embedded BI, reporting, and data analysis in your application.
Other key takeaways to be covered are:
- 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 today’s mid-market landscape
|John Myers, Managing Research Director, BI & Data Warehousing, EMA
John has over 11 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.
|Dean Yao, Director of Marketing, JReport
Dean brings over 10 years of experience in software marketing and product management. Previously, he was in product management at cloud computing startup Nimbula (acquired by Oracle) and 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.
|Lyndsay Wise, Research Director, BI & Data Warehousing, EMA
Lyndsay has over 10 years of experience in software research, BI consulting, and strategy development, specializing in software evaluation and best-fit solution selection. Her primary focus at EMA is on data integration, data governance, cloud technologies, data visualization, analytics, and collaboration.