- Bill Schmarzo, CTO, Dell EMC
- James Moyne, Associate Research Scientist, University of Michigan
- Anonymous contributors
- Organizations may understand the transformative potential of a big data initiative, but they struggle to make the transition from the awareness of its importance to identifying a concrete use case for a pilot project.
- The big data ecosystem is crowded and confusing, and a lack of understanding of it may cause paralysis for organizations.
- Don’t panic, and make use of the resources you already have. The skills, tools, and infrastructure for big data can break any budget quickly, but before making rash decisions, start with the resources you have in-house.
- Big data as a service (BDaaS) is making big waves. BDaaS removes many of the hurdles associated with implementing a big data strategy and vastly lowers the barrier of entry.
Impact and Result
- Follow Info-Tech’s methodology for understanding the types of modern approaches to big data tools, and then determining which approach style makes the most sense for your organization.
- Based on your big data use case, create a plan for getting started with big data tools that takes into account the backing of the use case, the organization’s priorities, and resourcing available.
- Put a repeatable framework in place for creating a comprehensive big data tool environment that will help you decide on the necessary tools to help you realize the value from your big data use case and scale for the future.
This guided implementation is a ten call advisory process.
Guided Implementation #1 - Plant the foundations of your big data tool architecture
Call #1 - Recap big data 101.
Call #2 - Understand why the organization is looking to leverage big data.
Call #3 - Review the big data tool architecture.
Call #4 - Determine the organization’s current ability to leverage big data and identify next steps for becoming more prepared.
Guided Implementation #2 - Weigh your big data architecture decision criteria
Call #1 - Understand what capabilities are needed to get the most out of big data.
Call #2 - Determine where you stand in terms of these capabilities.
Call #3 - Identify how realistic current big data initiatives are for the current situation of your big data architecture.
Guided Implementation #3 - Determine your approach to implementing big data tools