This vendor-written piece has been edited by Executive Networks Media to eliminate product promotion, but readers should note it will likely favour the submitter's approach.
We've all heard it time and time again: data analytics is the key competitive differentiator in today's business landscape. Whether you are a B2B company or a B2C company, data analytics can be leveraged to gather vast insights into a business's customer-base, allowing for the business to provide an unprecedented level of customer service - ultimately resulting in increased revenues.
Though this may sound pretty cut and dry- use data analytics, win big - it is far more complex than it sounds. Organisations are experiencing unprecedented unstructured data growth. By 2020, the digital universe will reach 44 zettabytes, or 44 trillion gigabytes. This is a monumental increase that will bring about either unmanageable levels of complexity, or boundless amounts of opportunity.
To prepare for this incredible growth, IT must find new and more cost effective ways to increase their data storage capabilities while simultaneously up-leveling their ability to draw meaningful insights from the data at lightening speed. For analytics to drive relevant results, it must operate at the same speed as data generation. And, if that wasn't already a tall order, as businesses expand globally, businesses will need to give their global workforce access to same meaningful data that is available to the employees operating in the headquarters.
Take Uber for example, the disruptive innovator has been met with incredible success across the globe because it delivers a universal need in a personalised, quick and agile manner. Uber has hundreds of offices globally and is continuing to expand. In order for Uber to continue on the trajectory they currently enjoy, they must ensure that amid their expansion they continue to operate smartly and efficiently - whether their customer is based in Kuala Lumpur or in New York City.
The answer is a Data Lake that serves edge-to-core-to-cloud
These challenges explain why business leaders today must look to the Data Lake. Over the course of 2015, we saw Data Lakes come of age and move into mainstream IT. The Data Lake breaks down unproductive storage silos and provides businesses with a single system to capture, store, analyze, protect and manage their data.
Though, in 2016, when business leaders look to either implement or up level their Data Lake strategy, it is imperative that they extend the Data Lake beyond the main data center. With borders blurring and the workforce evolving due to increased mobility, the Data Lake of today must be all inclusive and universally applicable. This is why a business's Data Lake strategy must enable organisations to set policy globally, yet act locally.
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