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Analytics in the Cloud: Getting The Most Out Of Analytics Deployments
Analytics in the cloud is becoming more popular as organizations look for ways to increase the value of their analytics investments and lower the total cost of ownership (TCO) of their analytics projects. At the same time, organizations may lack the insights required to make the business case for transitioning analytics to the cloud. By understanding the business and technical drivers of cloud analytics platforms and by evaluating the common use cases, organizations can make informed decisions and gain the buy-in they need to leverage analytics in the cloud.
Join Pivotal and EMA to gain insight into how cloud analytics can enhance your organization’s ability to get business value out of data. This web seminar will help organizations understand the value proposition of cloud analytics adoption and provide insights into the following:
- The key drivers of analytics in cloud adoption, including business, technical, and financial
- Perceptions of cloud vs on-premise solutions
- Cloud success factors and business benefits
- The combination of cloud access and open source
- The importance of agility and workloads to create efficient analytics in the cloud environment
- Use cases identifying key success factors
Ian Andrews is VP Products @ Pivotal. In this role Ian is lucky to spend much of his time with customers as they define their Cloud and Big Data strategies.
Prior to Pivotal, Ian worked for market defining start-ups including Aster Data, Endeca, and Opsware.
Jeff Kelly is a Data Evangelist and a member of the data product marketing team at Pivotal. Jeff spends his time researching and writing about trends in the data market—including the intersection of Big Data, cloud and application development—for the benefit of Pivotal’s customers and internal stakeholders. Prior to joining Pivotal, Jeff was the lead industry analyst covering Big Data analytics at Wikibon, an open source research and advisory firm. Before that, Jeff covered the data warehouse and business intelligence markets as a reporter and editor at TechTarget. He received his B.A. in American Studies from Providence College and his M.A. in journalism from Northeastern University.
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.