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How-To Successfully Implement a Big Data Project in 8 Steps
1.
By Kole Hicks,
Sr. Director, Products How-To Successfully Implement a Big Data Project in 8 Steps © 2014 GoGrid
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 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 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 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 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 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 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 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 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 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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