Clarity Blog
Clarity Insights Blog

Identifying Your Entire Customer and Prospect Universe

on Oct 19, 2017 6:20:00 AM By | Callie Wheeler | 0 Comments | Customer View micro-segmentation customer experience
What if you had a customer and prospect universe at your fingertips? A view of every customer and would-be customer means the ability to create segmentation frameworks, understand walletshare and pursue the best prospects. Data—whether collected over years or purchased—abounds. Market leaders are leveraging their data to create customer and prospect universes, where every customer and potential customer are identified, recorded and stored for analysis. This single view of the customer means targeting, segmentation and niche strategies are all possible.
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Top 3 Modern Data Architecture Mistakes

on Oct 16, 2017 6:30:00 AM By | Mark Lewis | 0 Comments | Big Data data architecture Data Warehouse Modernization
Transforming legacy data warehouse architecture to support real-time data processing is a massive undertaking, and it's not unusual for modernization efforts to hit some bumps along the way. To make creating a modern data architecture easier, learn from others' mistakes. Here are three of the most common mistakes companies make with their data warehouse modernization efforts:
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Your guide to cloud migration: The essentials

on Oct 12, 2017 12:00:00 PM By | Mark Lewis | 0 Comments | Cloud
While the cloud has permeated every corner of the business world, with more critical workloads than ever operating out of a hosted environment, there still remain some holdouts that have either resisted migrating certain platforms and processes to the cloud or rejected managed services outright. This resistance may not last much longer, though—industry expert David Linthicum sees a major uptick in cloud migration looming over the horizon.
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Clarity Insights Names Neil Huse as President

on Oct 12, 2017 8:13:42 AM By | Mark Lewis | 0 Comments |
Clarity Insights today announced that its board of directors has named Neil Huse as the company's president.
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How to measure offline marketing with data analytics

on Oct 10, 2017 1:48:53 PM By | Mark Lewis | 0 Comments | Big Data marketing analytics marketing effectiveness
Marketers use data analytics every day, to optimize campaign strategies and media buys, better engage with target audiences and measure effectiveness across digital channels. But what about offline marketing efforts—is it possible to take the same approach?
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What Is the Future of Marketing Mixed Models?

on Oct 5, 2017 12:34:42 PM By | Mark Lewis | 0 Comments | Social Media marketing analytics marketing effectiveness
For many marketers, marketing mixed modeling (MMM) has provided necessary insight into marketing effectiveness, especially as traditional marketing channels co-mingle with disruptive platforms like social media networks. MMM promises to illuminate marketing performance metrics and analyze various markets and channels so marketers can allocate their resources accordingly.
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How AI is driving automated buying forward

on Oct 2, 2017 12:00:19 PM By | Mark Lewis | 0 Comments | advertising Artificial Intelligence
Automation is ushering in a new age of digital advertising. In an industry so closely tied to human condition, known for creative that taps into emotion, it may seem counterintuitive to hand over critical processes to software and algorithms, but automated workflows have helped streamline advertising processes. Perhaps the most immediate application for the technology in this space is ad buying—and with the growing sophistication of artificial intelligence, these workflows stand to become more efficient and effective than ever before.
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Can machine learning improve content marketing effectiveness?

on Sep 28, 2017 6:32:00 AM By | Mark Lewis | 0 Comments | Machine Learning marketing effectiveness
The idea of a thinking machine may sound like a far-off, heady concept fit for Sci-Fi stories, but analytics firms have made machine learning very much a reality. Software that can continually learn from exposure to new and larger sets of data—and optimize its behavior accordingly—is a powerful tool ripe for numerous applications. One of the most exciting potential use cases for machine learning is in content marketing.
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Core Systems Transformation for Insurers

on Sep 27, 2017 6:24:00 AM By | Callie Wheeler | 0 Comments | Insurance White Papers Analytics customer experience
The promise of greater data analysis capabilities is the motivation behind most core systems transformations, and for insurers, those capabilities carry the possibility of mitigating risk, lowering costs, improving customer experience and simplifying processes. What’s not to love?
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