Carey James

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Big data for business outcomes: How to begin and follow-through on your data strategy

Date: This event took place live on May 24 2016

Presented by: Carey James

Duration: Approximately 60 minutes.

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The majority of businesses today want to begin their own big data project, but are often faced with uncertainties about where to start, and what to do when they encounter obstacles along the way. As you begin your own "big data journey", you're likely to face complications with related technologies and a disjointed provisioning process, resulting in what is commonly known as the "shadow IT phenomenon".

In this webcast, Carey James will give an overview of key milestones along the big data journey, obstacles that many organizations encounter in the process, and technology solutions to consider at each step. He will also discuss the value of focusing on business outcomes first, before making technology decisions, and will give some examples from his experience as business development manager of big data solutions at EMC.

Attendees will learn how to:

  • Approach your business outcomes using a big data strategy
  • Recognize common opportunities for making use of big data in business
  • Decipher between different technology solutions and make choices based on your goals
  • Overcome obstacles at each phase in your big data journey
  • Partner with IT to overcome technology complexities and streamline the provisioning process

About Carey James, Director Business Development, Big Data Solutions – EMC

Carey James is the Director Business Development – Big Data Solutions in the EMC Global Solutions organization. Carey is a telecommunications industry leader with proven expertise in the development of solutions that bridge the gap between the business and technical communities to solve the needs of the customer. His focus has been on the disciplines of analytics and how business can use analytics to create value and how IT can provide the appropriate analytics experience. In his current role, he works with customers to identify and develop strategies to help take advantage of the key value propositions associated with big/fast data and analytics. The focus areas include data management, analytics, data integration, and data visualization.