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.
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Neglecting to investigate big data use cases within your organization can result in:
- Missed opportunities to differentiate competitively within your industry.
- Business user frustration due to the limitations of current reporting.
Incorporating big data as a new initiative helps to:
- Lay a foundation for collaborative innovation between business users and IT.
- Provide impetus for investing in and improving core data management practices.
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Onsite Workshops offer an easy way to accelerate your project. If you are unable to do the project yourself, and a Guided Implementation isn’t enough, we offer low-cost onsite delivery of our Project Workshops. We take you through every phase of your project and ensure that you have a road map in place to complete your project successfully.
Book NowModule 1: Undergo Big Data Education
The Purpose
- Understand the basic elements of big data and its relationship to traditional business intelligence.
Key Benefits Achieved
- Common, foundational knowledge of what big data entails.
| Activities: | Outputs: | |
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| 1.1 | Determine which of the four Vs is most important to your organization. |
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| 1.2 | Explore new data through a social lens. |
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| 1.3 | Brainstorm new opportunities for enhancing current reporting assets with big data sources. |
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Module 2: Assess Your Big Data Readiness
The Purpose
- Establish an understanding of current maturity for taking on big data, as well as revisiting essential data management practices.
Key Benefits Achieved
- Concrete idea of current capabilities.
- Recommended actions for developing big data maturity.
| Activities: | Outputs: | |
|---|---|---|
| 2.1 | Determine your organization’s current big data maturity level. |
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| 2.2 | Plan for big data management. |
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Module 3: Pinpoint Your Killer Big Data Use Case
The Purpose
- Explore a plethora of potential use cases at the industry and business unit level, followed by using the variety element of big data to identify the highest value initiative(s) within your organization.
Key Benefits Achieved
- In-depth characterization of a pilot big data initiative that is thoroughly informed by the business context.
| Activities: | Outputs: | |
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| 3.1 | Identify big data use cases at the industry and/or departmental levels. |
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| 3.2 | Conduct big data brainstorming sessions in collaboration with business stakeholders to refine use cases. |
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| 3.3 | Revisit the variety dimension framework to scope your big data initiative in further detail. |
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| 3.4 | Create an organizational 4-column data flow model with your big data sources/elements. |
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| 3.5 | Evaluate data sources by considering business value and risk. |
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| 3.6 | Perform a value-effort assessment to prioritize your initiatives. |
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Module 4: Structure a Big Data Proof-of-Concept Project
The Purpose
- Put together the core components of the pilot project and set the stage for enterprise-wide support.
Key Benefits Achieved
- A repeatable framework for implementing subsequent big data initiatives.
| Activities: | Outputs: | |
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| 4.1 | Construct a work breakdown structure for the pilot project. |
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| 4.2 | Determine your project’s need for a data scientist. |
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| 4.3 | Establish the staffing model for your pilot project. |
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| 4.4 | Perform a detailed cost/benefit analysis. |
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| 4.5 | Make architectural considerations for supporting the big data initiative. |
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