Leverage Big Data by Starting Small
Big data is becoming simply data. Get to the core of your business needs and pinpoint the data sources that will propel their processes.
- The desire for rapid decision making is increasing and the complexity of data sources is growing; business users want access to several new data sources, but in a way that is controlled and easily consumable.
- Organizations may understand the transformative potential of a big data initiative, but 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 that ecosystem may cause a paralysis for organizations.
Our Advice
Critical Insight
- Big data is simply data. With technological advances, what was once considered big data is now more approachable for all organizations irrespective of size.
- The variety element is the key to unlocking big data value. Drill down into your specific use cases more effectively by focusing on what kind of data you should use.
- Big data is about deep analytics. Deep doesn’t mean difficult. Visualization of data, integrating new data, and understanding associations are ways to deepen your analytics.
Impact and Result
- Establish a foundational understanding of what big data entails and what the implications of its different elements are for your organization.
- Confirm your current maturity for taking on a big data initiative, and make considerations for core data management practices in the context of incorporating big data.
- Avoid boiling the ocean by pinpointing use cases by industry and functional unit, followed by identifying the most essential data sources and elements that will enable the initiative.
- Leverage a repeatable pilot project framework to build out a successful first initiative and implement future projects en-route to evolving a big data program.
About Info-Tech
Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.
We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.
What Is a Blueprint?
A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.
Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.
Need Extra Help?
Speak With An Analyst
Get the help you need in this 4-phase advisory process. You'll receive 10 touchpoints with our researchers, all included in your membership.
Guided Implementation 1: Undergo big data education
- Call 1: Discuss the evolution of big data and the current landscape in terms of uses and technology.
Guided Implementation 2: Assess big data readiness
- Call 1: Discuss Info-Tech’s maturity model and how to evaluate your organization’s current capabilities.
- Call 2: Revisit key data management practices to consider before taking on big data.
Guided Implementation 3: Pinpoint a killer big data use case
- Call 1: Discuss industry and department use cases you identified.
- Call 2: Refine the use cases according to your business context.
- Call 3: Review your top use cases and plan for the next phase.
Guided Implementation 4: Structure a big data proof-of-concept project
- Call 1: Discuss the formation of an effective project team.
- Call 2: Review prioritized initiatives, preliminary work breakdown structure, CSFs, and risks.
- Call 3: Understand the operational and architecture considerations for big data.
- Call 4: Discuss how to successfully put together and execute a stakeholder presentation.
Contributors
- Albert Hui, Principal, Data Economist
- Lynn Langit, Big Data and Cloud Architect, Technical Author
- Nick Burch, Chief Technology Officer, Quanticate
- Olivier Riboux, Director of BI Consulting, Project X Ltd.
- Paresh Yadav, Big Data/Hadoop Architect, StratIS Inc.
- Sean Jackson, Chief Marketing Officer, Exasol
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