As you probably know, there are a number of organizations that give awards to a number of other organizations for various reasons. One of the award-givers is Forrester, and one of the award-getters is Pitney Bowes. But this award isn't for postage meters.
STAMFORD, Conn., March 14, 2016 - Pitney Bowes (NYSE:PBI), a global technology company that provides innovative products and solutions to power commerce, today announced that the company has been recognized as a Leader in The Forrester Wave™: Customer Analytics Solutions, Q1 2016. The closely watched market assessment notes that organizations consider the Spectrum Technology Platform and Portrait suite of analytical tools for their “customer centricity and smooth marketing integration.”
I don't know if analytics has jumped the shark yet, but it's certainly a popular buzzword these days. According to Forrester, Pitney Bowes has been positioning itself in the analytics arena for years.
“Pitney Bowes facilitates difficult analytical processes like data preparation for the less technically savvy marketer or customer insights,” writes Forrester Senior Analyst Brandon Purcell in the report. “With firm roots in location analytics (due to the acquisition of MapInfo in 2007), Pitney Bowes is well-positioned to leverage the growing volumes of contextual mobile and IoT [Internet of Things] data. It also offers a variety of industry-specific, demographic, and firmographic, data products for further data enrichment.”
At least in theory (I don't know if the actualities match up with the marketing), all of these Pitney Bowes applications work together to convert data into wisdom. As Pitney Bowes noted:
By running analytics on your collected customer data, you can predict customers’ behavior, in terms of what, when, how, where, and why they buy.
I've mentioned the "where" previously in my Inland Empire blog (because of a Pitney Bowes competitor, ESRI). But while I was visiting the Pitney Bowes website, the company showed its dedication to geospatial information, something I've never encountered at the ESRI website - yet.
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