big data

Location Intelligence | Pitney Bowes

Moving Beyond the ‘In-between’ Era of Big Data

By Tom Pinckney, Head of Business Development, Cloudera & Doug Mazlish, Vice President, Innovation Operations and Strategic Alliances, Pitney Bowes

When the term Big Data was first introduced, few could have predicted the tremendous impact it would have on businesses. Over the years, Big Data has exploded, becoming the key basis of competition by creating new waves of productivity, growth and innovation. “Big Data” itself is used to reference data that is large in volume and variability, requiring the C-suite and IT managers alike to develop new revenue streams from data within or outside of the organization, and ensure that these infrastructures allow the organization to meet compliance regulations.  

But for many organizations, Big Data is stored in legacy and siloed infrastructures, found on premise, which generates what some refer to as “dark data” or data that is difficult to access and nearly impossible to analyze because no one actually knows it is there. Because of this, organizations are beginning to move away from the old and working to embrace new technologies that can enhance operational efficiencies, lower infrastructure costs, and move information onto an open source platform to derive meaningful business insight through data.

Out with the Old

Prior to the 1990s, data was primarily physical. Most transactions between consumers and businesses were paper-based, which made it pretty tedious to track, and these processes often slowed business growth. As the Internet expanded, the digital world of commerce came to life. As computers became consumer products, and more people explored the online world, these consumers began leaving behind digital footprints, accumulated at rapid speed, which businesses recognized as an opportunity.

Over time, businesses began implementing hardware infrastructures that would allow them to capture and organize data. But these supercomputers were designed on parallel systems, in which data was often captured by various internal departments. When the time came to analyze the data, particularly around customer and location-based information, it was nearly impossible to merge data across departments and remove duplicate entries. The data was dirty and any business insight that was gleaned was seen as unreliable.

In with the New

Founded in 2008, Cloudera provides an open-source platform that enables businesses to capture, store and analyze large quantities of data in a cost effective, high-speed environment.

With its next generation analytic platform, Cloudera is on a mission to deliver a modern platform for machine learning and advanced analytics to businesses, and eliminate the challenges that often come with traditional infrastructures. And as part of that mission, Cloudera is teaming up with Pitney Bowes to give end-users access to improve data quality by cleansing that data, before applying geospatial analytics, to unlock the insights related to customer and location.

Through our partnership, clients will experience the next generation of Big Data open-source software that incorporates advanced geospatial and geo-enrichment capabilities that leverage Pitney Bowes’ 4,500 unique data sets, spanning 240 countries across the world. Through Cloudera Enterprise, end users can access these data sets to drive long-term benefits and greater business insight to aid in their digital transformation journey—across every vertical.

Clients across Insurance, Telecommunications and Financial Services will be able to:

1.       Go Bigger by easily processing enormous datasets with solutions that run natively on Cloudera Enterprise.

2.       Go Faster with processes that once took hours or days can now be completed in a matter of minutes.  

3.       Make discoveries and answer questions that simply can’t be handled by existing capabilities.

With access to this type of data, Insurance providers can have a single view of risk and offer prospective clients the right amount of coverage to protect homeowners against natural disasters; Telecommunications providers can attach their network coverage to location for network optimization and optimize service for clients; and Financial Service providers can have a single view of customers, detect fraud, stay a step ahead of new compliance regulations and keep their clients’ financial interests a top priority. And to top it off, organizations can now deliver these capabilities in a matter of minutes, rather than hours and days that it takes legacy systems to deploy.

GE’s Beth Comstock said it best when she said organizations should “Get used to living in the in-between. The old is going away and the new has not yet fully emerged. It’s uncomfortable and it’s chaotic, but it’s happening in pretty much every industry right now.” Our hope it that through the right software, the right data, and the right partnerships, our clients will soon be able to emerge from the in-between with a strong Big Data and analytics infrastructure that will continue to deliver business value for decades to come. 

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