From large enterprises to small businesses, organizations today generally recognize the range of opportunities and potential benefits they can achieve by analyzing big data. Whether the plan is to draw from social media posts to create targeted marketing promotions, find trends in banking transactions to better detect fraud, use telecommunications data to improve cell phone networks or something else, organizations know that big data can hold the key to important insights.
Not surprisingly, many organizations are very eager to get started. But before you dive in head first, consider asking (and answering) some basic questions, including: What business goals do you want to accomplish? How will you manage all that data? And how will you deliver insights across the organization? Taking a holistic view of big data analytics can help you maximize the business benefits you achieve.
Adopt a business perspective
It’s easy to get caught up in the technical challenges and goals of big data analysis. But analyzing a large volume and variety of data will mean little unless you adopt a business perspective. What business questions do you want to answer? How do you intend to apply new insights to business goals? Answering these and similar questions can help you enhance the efficiency of big data analytics projects and deliver results that have a tangible impact on the business.
Understand the whole information lifecycle Once you’ve defined your business goals, make sure you understand the whole data lifecycle before you start analyzing. Ask yourself, for example:
A holistic perspective of the data lifecycle help you efficiently address immediate goals while also facilitating more long-term planning.
Make insights accessible to everyone
Data scientists are hot commodities today. Organizations are readily seeking people with the right combination of skills to help transform data into business insights. But while data scientists can make key contributions to big data analytics, the insights they help generate should be accessible to a wide range of individuals, not just people with technical expertise. Before you start analyzing data, consider how you will deliver information to the executives and line-of-business managers who are responsible for executing on business strategies.
As you plan your big data analytics journey, make sure you know your business goals, understand the data lifecycle and have a plan for delivering insights to everyone who needs them. Taking a holistic approach to big data analytics will be an important step in addressing technical challenges and reaching your business goals.
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<p>Well said, John. We all need a model to help hold together a holistic approach to something as big as "big data". As you express we do tend to over-emphasize the "Analytics" portion of data science, forgetting the "Capture" side evaluation and scrutiny, while also under-planning the "Presentation" side of explaining the results along with visualizations of the mined intelligence for business. </p>
<p>That particular model, the C. A. P. model, has always worked for me well as something to fall back on when trying to CAPture a holistic approach if you will. </p>
<p>Thanks for the write-up. For an article on the CAP model, see: <a rel="nofollow" target="_new" href="www.datasciencecentral.com/.../p>