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How-To Successfully Implement a Big Data Project in 8 Steps

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How can you incorporate Big Data to improve your company’s operations?

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How-To Successfully Implement a Big Data Project in 8 Steps

  1. 1. By Kole Hicks, Sr. Director, Products How-To Successfully Implement a Big Data Project in 8 Steps © 2014 GoGrid
  2. 2. 2 Confidential2 How to Implement a Big Data Project in 8 Steps © 2014 GoGrid The Solution  Understand your infrastructure requirements and create an implementation plan that clarifies what each Big Data project means to your organization.  At a minimum, that plan should include the following 8 steps. The Challenge  How can you incorporate Big Data to improve your company’s operations?
  3. 3. 3 Confidential3 How to Implement a Big Data Project in 8 Steps © 2014 GoGrid Step 1: Gain Executive- Level Sponsorship  Big Data projects need to be proposed and fleshed out to be successful.  These projects take time to scope, and without executive- level sponsorship and a dedicated project team, there’s a good chance they’ll fail.
  4. 4. 4 Confidential4 How to Implement a Big Data Project in 8 Steps © 2014 GoGrid Step 2: Augment Rather than Re-Build  Start with your existing data warehouse…  Identify and prioritize additional data sources.  Determine the right hub-and-spoke technology.  Get approval to evaluate a few options before you decide on the appropriate technology.
  5. 5. 5 Confidential5 How to Implement a Big Data Project in 8 Steps © 2014 GoGrid Step 3: Make Value to the Customer a Priority  Connect the data sources you’ve identified and prioritized to the needs of your customer.  For example, let’s say you know that Customer A…  Likes jelly donuts  Is walking near a donut shop  Wouldn’t it be great if you could immediately send a coupon for a free donut to Customer A’s smartphone or tablet?
  6. 6. 6 Confidential6 How to Implement a Big Data Project in 8 Steps © 2014 GoGrid Step 4: Run an Agile Shop (and Increment Over Time)  Once you’ve established priorities and a project team, begin to work on incremental releases and incorporate new data hubs one at a time.  Many projects fail because they try to do too much at once.  Instead, start slow, learn, adapt, and then move on to the next step.
  7. 7. 7 Confidential7 How to Implement a Big Data Project in 8 Steps © 2014 GoGrid Step 5: Link Customer Data to Company Process  Each new data set presents an opportunity to change the way you deliver products and services.  Push data-driven decisions into the organization at all levels.
  8. 8. 8 Confidential8 How to Implement a Big Data Project in 8 Steps © 2014 GoGrid Step 6: Create Repeatable Process & Action Paths  Once you have new data sets, it’s tempting to run one-off reports to answer interesting questions without connecting those answers to actions.  Ask team members what actions should be taken from the learnings of a particular data set.  Clear a path for execution within your company that connects data learnings to customers or products.
  9. 9. 9 Confidential9 How to Implement a Big Data Project in 8 Steps © 2014 GoGrid Step 7: Test, Measure, and Learn  With each data set, test your assumptions.  Responsive marketing systems let you push personalized marketing out the door with a variety of messages.  If you’re using Big Data appropriately, you can determine instantly which messages are performing, allowing you to optimize them on-the-fly.
  10. 10. 10 Confidential10 How to Implement a Big Data Project in 8 Steps © 2014 GoGrid Step 8: Map Data to the Customer’s Life Cycle  Once you’ve successfully completed a Big Data project, you can move on to mapping Big Data needs to each stage of the customer life cycle.  Find out where customers discover new products, then connect that activity to your promotional initiatives.
  11. 11. 11 Confidential11 How to Implement a Big Data Project in 8 Steps © 2014 GoGrid Learn More  For more information on implementing Big Data successfully:  Read the full blog post  Check out our 1-Button Deploy™ solutions  Get started with a 14-day free trial of a development or production cluster on GoGrid

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