Greenplum Analytics Lab - Expert Led Discovery For Actionable Business Insight

The new Greenplum Analytics Lab, is a package of services, technology and training delivered by Greenplum's team of leading Data Scientists. Customers and prospects interested in learning about best practices for analytics on the Greenplum platform can apply for participation in the Greenplum Analytics Lab, in which their analysts and database administrators work in partnership with Greenplum's team of statisticians and modelers to quickly solve real business problems.

Here's how the Greenplum Analytics Lab works:

• Identify goals for the project that are critical to the business and amenable to advanced analytics; agree on priorities and a timeline.
• Build a set of detailed requirements and exit criteria.
• Establish a team of business analysts, data analysts, DBAs and data modelers who will collaborate closely on the project. Greenplum provides project management, architectural oversight, and backend support for the project.
• Employ an iterative approach, but with clear project goals and milestones; encouraging a process of discovery based on what the data reveals, but always oriented towards the project goals.
• Work closely with IT, paying close attention to security, permissions, protocols, and testing procedures. All statistics and modeling code is developed in the lab, on sandbox databases, and is then designed and re-written for scalability and performance, ready to be tested in a staging or test environment.

Key benefits to participating companies include:

• Insights into critical business questions
• Training for key analysts
• Conversion of existing models
• A framework for on-going analytics
  -Sample models
  -Tools, methodologies, best practices
  -Analytics Roadmap
• An opportunity to guide Greenplum analytics development

At the heart of the Analytics Lab is Greenplum's "MAD Skills" approach to data warehousing and analytics: sophisticated data analysis using Magnetic, Agile and Deep design philosophies. The recently announced Greenplum Chorus, the industry's first commercially available Enterprise Data Cloud™ platform, enables this modern methodology. Greenplum Chorus enables businesses to bring the power of self-service to data warehousing and analytics through a highly scalable platform and massively parallel processing, while empowering individuals to more easily collaborate and derive actionable insight from their data.

Steven Hillion, Greenplum's VP of Analytics is the driving force behind the Greenplum Analytics Lab practice. Before joining Greenplum Software, Hillion served as vice president of engineering at San Mateo-based M-Factor Inc. Earlier in his career, he served as director of engineering at the Silicon Valley firms QRS Corp., KANA Software and Siebel/Scopus. He earned a doctorate in mathematics at the University of California, Berkeley, and was a King Charles I scholar at Oxford University.

Download the Greenplum Analytics Lab datasheet here.