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November 08, 2017
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How to Leverage the World of Big Data Even Before a Purchase

It’s hard to imagine a time when we didn’t have data to explain common occurrences and answer questions humans are incapable of resolving on their own. Entire industries have transformed to keep up with the pace at which global data management is revolutionizing business. Organizations are able to understand their customers on a level like never before in order to provide them with the best customer experience, quality services, and ever-evolving products. The world of providing actionable intelligence through data has expanded, and it is only growing.

Big Data Whack-A-Mole

There is another world of data untouched by most companies that drills down to why someone purchases something even before it is bought. A proactive approach to leveraging buying patterns, rather than reactively trying to access the consumer at the point of sale expands the possibilities for businesses to stay on the cutting edge. There was a time when consumers only had information once a credit card was swiped or money exchanged hands, but now the interactions start at first click of a website or the first “Like” on social media. All of this data coming from various sources including mobile devices, credit card processing technologies, and even the connected car, creates a more holistic picture of consumers. The power in this new intelligence is only valuable and actionable if companies are able to collect the data and process it seamlessly.

Although consumers may never see how their interactions with companies become data points, it all becomes stored across multiple data lakes, clusters, and even in traditional Enterprise Data Warehouses. Knowing where the data originated, how it got there, who uses it and what to do with it becomes complex for enterprises as they are missing a homogenous environment. The ‘needle in the haystack’ problem becomes the ‘needle in multiple haystacks’ problem, leaving companies with a complex data landscape, not to mention the fact that many organizations have data solutions that expanse across multiple clouds and on premise. There wasn’t a way to easily manage, govern, and secure data and workloads across multiple sources, until now.

Next Generation Service

As consumer technologies evolve, it will take a modern data architecture to solve the problems of global data management. Hortonworks DataPlane Service (DPS) is a next-generation service that empowers enterprises to manage various types of data across multiple tiers in order to gain more value quicker. Not only that, but the core capabilities of DPS provide central security and governance. In today’s world, it is not only about meeting the customers where they are, it is about meeting the data where it resides, no matter where it is generated or where it ends up.

It is not enough for companies to master their own domains anymore, as data is driving many of the consumer demands. People want improved products and better services and they want them yesterday. Next generation companies are utilizing these next generation solutions to lead in their industry. Enterprises are drowning in data, and suffocating from security and governance concerns. With the right partner committed to open source and a collaborative approach, the coalition of the best and brightest can allow companies to focus on what they do best, while we take care of the data.

For more information on leveraging the power of global data management, visit us today.



Priyanka says:

That’s a really nice post!

Also, checkout this link for blog posts on data science and programming etc.

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