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Clarity Insights Blog

Webinar Replay: The Age of the Digital Insurance Customer & Importance of the Analytical 360

Last month we hosted a roundtable-based webinar, with our technology partner, Hortonworks, that focused on the challenge of enabling the digital customer experience with the goal of enhanced profitability, lowering costs and creating stronger customer loyalty. Many companies are struggling to achieve this goal, challenged by a history of policy and/or product-based business models. Additionally, many continue to use a traditional MDM-based approach to solve customer data.
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Is Your Company Culture Customer-Centric?

on Jun 21, 2017 6:30:00 AM By | Callie Wheeler | 0 Comments | White Papers Data Culture customer experience customer satisfaction
There are three types of companies when it comes to customer-centric culture: those who have a truly customer-centric culture, those that wish they did, and those that think they do. Which type is your company?
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Are Your Big data projects failing? Understanding Why (and what to change next time)

on Jun 19, 2017 6:15:00 AM By | Mark Lewis | 0 Comments | Master Data Managment Big Data Advanced Analytics
Working with a qualified analytics consultant can put your big data project on the path to success. Big data has shown tremendous promise, yet it's common to hear about big data projects failing. The opportunity to drive operational improvement in every industry has companies in healthcare, financial services and manufacturing, among many other fields, ramping up investments in data analytics to enhance everything from customer experience to risk management. There are endless big data analytics use cases demonstrating how valuable this technology can be, but not all initiatives have happy endings. 
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Avoiding the creepiness factor as 1:1 marketing approaches

on Jun 15, 2017 6:30:00 AM By | Mark Lewis | 0 Comments | Media & Entertainment advertising marketing analytics
1:1 marketing can seem overwhelming if not handled moderately.  Thanks to advancements in digital marketing analytics, one-to-one (1:1) marketing is now a very real possibility for businesses across the digital landscape. If employed properly, 1:1 marketing promises more targeted consumer outreach by defining individual users beyond mere demographics. Companies can truly guide consumers to the products, services and promotions that matter most to them.
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How to Improve Customer Experience Using Neural Networks

on Jun 14, 2017 2:50:52 PM By | Ryan Wheeler | 0 Comments | Big Data Retail White Papers customer experience
Everyone wants to know how to improve customer experience to increase loyalty, reduce churn and connect with their customers. It’s the question on many retailers’ minds, as they create new positions, like Chief Customer Experience Officer, and start funneling more resources into personalization efforts.
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Clarity CTO on Cloud Service Providers: theCUBE interview

on Jun 12, 2017 6:15:00 AM By | Danielle Hilson | 0 Comments | Big Data Analytics Cloud
*Image taken from video originally posted by theCUBE on YouTube Tripp Smith, CTO of Clarity Insights, recently interviewed with Jeff Frick and George Gilbert, co-hosts of theCUBE, at the Data Platforms 2017 conference in Phoenix, AZ. Tripp weighed in on data in the cloud and other hot topics from the conference:
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FCC changes may make 1:1 marketing a reality

on Jun 8, 2017 6:15:00 AM By | Mark Lewis | 0 Comments | Big Data Media & Entertainment Analytics marketing analytics
Federal Communications Commission Chairman Ajit Pai made a lot of noise recently with proposed changes to federal policies governing cable companies and ISPs, changes that could result in making one-to-one (1:1) marketing a reality.
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Data Lake Management: 4 Keys to Avoiding a Data Swamp

on Jun 7, 2017 6:15:00 AM By | Callie Wheeler | 0 Comments | Data Governance Data Lake Big Data White Papers metadata
If you’re responsible for data governance, you’re likely all too familiar with the task of data lake management, as organizations are rapidly transitioning solutions that make your job even more important and complex. 
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4 Key Takeaways from SAPPHIRE 2017

How to Solve the Challenges of HANA and Hadoop If you attended SAPPHIRE 2017, you’re probably still digesting, distilling, and sharing the vast amount of information presented. If you missed it, we’ve compiled a few of our own key takeaways and some helpful tips to share about what we’ve done to address some of the major challenges highlighted in the conference.
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