Clarity Insights Blog

Top 3 Modern Data Architecture Mistakes

on Oct 16, 2017 6:30:00 AM By | Clarity Insights | 0 Comments | Data Warehouse Modernization data architecture Big Data
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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How to measure offline marketing with data analytics

on Oct 10, 2017 1:48:53 PM By | Clarity Insights | 0 Comments | marketing analytics marketing effectiveness Big Data
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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Hey, advertising agencies: You need to embrace big data

on Sep 15, 2017 6:30:00 AM By | Mark Lewis | 0 Comments | advertising Big Data Advanced Consumer Engagement
At first, it may have seemed big data wasn't much more than a tech buzzword. It's understandable if your agency was skeptical of big data's potential—after all, plenty of tech fads have come and gone over the years, and it could have been just another flash in the pan.
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What does real-time stream processing mean for big data?

on Sep 7, 2017 6:17:00 AM By | Mark Lewis | 0 Comments | Big Data Real-Time Data Warehouse Modernization
In the pursuit of advanced analytics maturity, some organizations focus a little too much on the "big" aspect of big data. Certainly, big data analytics requires the collection of vast amounts of information, but that's only one part of the equation. 
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Integrating HANA and HADOOP within SAP: Data Federation Options

on Aug 31, 2017 6:30:00 AM By | Rahul Easwar | 0 Comments | SAP HANA Big Data data integration
On one side, you have HANA®, an efficient high performance in-memory platform, and on the other side you have HADOOP®, a framework built for massive storage, enormous processing power and built for concurrency. 
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Connecting the Data Dots: Customer Experience

on Aug 28, 2017 6:30:00 AM By | Callie Wheeler | 0 Comments | customer experience Big Data Retail
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Data and Analytics Company hits 9 year Inc. 5000 streak

on Aug 22, 2017 6:10:00 AM By | Mark Lewis | 0 Comments | Advanced Analytics Big Data
  Chicago, IL - August 16, 2017 - Clarity Insights announced today that Inc. Magazine has named the company a fastest-growing private company inAmerica for the 9th consecutive year on their 36th annual Inc. 5000 list.
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What we can learn from Capital One anti-money laundering probe

on Aug 14, 2017 11:20:54 AM By | Mark Lewis | 0 Comments | Financial Services fraud Risk Management Big Data Advanced Analytics
Of all the pressing concerns facing the financial services industry today, fraud prevention may be the most difficult to get right. As technology gets more advanced, fraudsters become more sophisticated, taking advantage of new weaknesses and scamming financial firms and their customers for massive sums of money. On average, organizations lose five percent of their annual revenue due to fraud each year, according to the Association of Certified Fraud Examiners.
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SAP HANA & Hadoop - Is Your Data Hot or Not?

on Aug 10, 2017 6:20:00 AM By | Rahul Easwar | 0 Comments | Hadoop SAP HANA Big Data
Buzzwords such as Big Data, In-Memory, Hot Data and Cold Data inundate our world, but what do these words really mean and how does it impact your landscape?
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