1. Beginning your
Big Data & Analytics
adoption journey.
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By IBM, for midsize businesses

2. Big Data & Analytics doesn’t always
mean big data sets. For midsize
businesses, it can simply mean “more
data than you’re used to.” So no matter
your size, beginning your big data and
analytics adoption journey is vital to
the success of your company—and it’s
easier than you think. Discover the four
stages now.
Big Data & Analytics
for the midmarket.
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3. The first stage of the adoption
journey starts with building a base of
knowledge to create an understanding
of the opportunities and potential
benefits of big data and analytics to
the organization.
Educate
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4. Educate
Key Actions:
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Identify the desired business outcomes
Begin the discussion in your organization
Determine the appropriate stakeholders
Create a list of questions and discussion points

5. In this stage, the organization
determines a quantifiable business case,
aligned with the company’s business
objectives, that takes into consideration
existing data, the technology foundation,
and the organization’s analytics skills
and capabilities.
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Explore

6. Explore
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Key Actions:
Design a blueprint to secure executive sponsorship
Build a solid technology foundation
Create a business case that focuses on fostering new revenue,
increasing efficiency and mitigating risk
Assess and identify your analytics skills and needs to get the
most from your data

7. In this third stage, to prove the
value of big data and analytics to
the organization, many companies
undertake proof-of-concept
initiatives to validate requirements
and quantify expected returns.
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Engage

8. Establish a step-by-step roadmap aligned with business goals
Create and define a funding process that prioritizes future projects
Determine defined connections between outcomes and
outlined activity
Use quantifiable results to transition from executive strategy to
LOB action
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Engage
Key Actions:

9. Organizations in this stage, the
most sophisticated of big data
and analytics adoption, are fully
leveraging big data to change
the way they do business. And
analytics is already informing
the decision making within the
enterprise.
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Execute

10. Get insights through dashboards, reports and analysis
Use statistical analytics, data and text mining, and predictive
modeling to reveal patterns
Utilize forecasting to create dynamic and efficient planning cycles
Gain a context-relevant view of business through discovery
and exploration
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Execute
Key Actions:

11. Get the full story on the Big
Data Analytics journey.
Download the full eBook, Getting started with
Big Data Analytics: What you need to know.
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Download now