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Clarity Insights Blog

Data & Analytics Programs: Part 1-Building an Organization Ready for Agile

on Mar 15, 2017 11:25:19 AM By | Ron Pasko | 0 Comments | Big Data Advanced Analytics agile
  This is the first in a Clarity Blog series to help you make Agile work for your organization’s Data & Analytics Program: Over the course of the last decade, the concepts of Agile software development have resulted in successful business outcomes for organizations of all sizes.  However, these same organizations that see a tremendous uplift in software quality and team productivity often struggle to realize these efficiencies for data and analytics projects.  This blog series is geared towards helping you make Agile work for your organization’s data & analytics initiatives.  Part 1:  Building an Organization Ready for Agile
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Clarity Insights Partners with Zoomdata on Introduction of Smart Connector for Hewlett Packard Enterprise's Vertica

on Mar 15, 2017 6:00:00 AM By | Mark Lewis | 0 Comments | Data Visualization Big Data
Zoomdata, developers of the world's fastest visual analytics platform for big data, today announced that they will work with Clarity Insights to offer customers pre-Integrated Zoomdata packages for Hewlett Packard Enterprise's Vertica Advanced Analytics database, using Zoomdata's new Smart Connector™ for Vertica.
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Clarity Insights Announces Sponsorship of Hackathonclt!

on Mar 10, 2017 11:50:13 AM By | Danielle Hilson | 0 Comments | Big Data
Image Available: http://www.marketwire.com/library/MwGo/2017/3/9/11G132612/Images/Charlotte_Hackathon_copy-cb041813c25bb1dcbfb2a259074bae56.jpg
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Highlights from the 2017 Spark Summit East

on Feb 20, 2017 10:00:21 AM By | Tripp Smith | 0 Comments | Big Data Analytics Apache Spark
*An Image of the weather conditions in Boston during Spark Summit East 2017 This February’s Spark Summit East 2017 in Boston highlighted exciting new features in core Apache® Spark™, evolving trends in the big data market, and innovative use cases for one of the most popular open source projects in big data analytics. Despite difficult weather conditions and crowds celebrating Super Bowl Champion New England Patriots, more than 1,500 attendees participated in the event.
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Give SAP Business Users Faster Access to Analytics with Pre-Built Data Models

on Feb 9, 2017 1:26:31 PM By | Klaus Satzke | 0 Comments |
Working within the SAP ecosystem may seem overwhelming at times, particularly when different business users are pressing for real-time analytics and actionable insights ASAP. While watching numerous clients working with HANA Live and feeling time-to-production pressure, we recognized the need to more easily create the consolidated data models required for analytic reporting. While SAP HANA® Live provides the individual building blocks suitable for operational reporting, transforming those for analytic reporting is not only time consuming, but requires a deep understanding of SAP ECC tables and data models. We theorized that developing a structure for pre-built data models, if successful, would shorten implementation time resulting in cost savings and give the business users faster access to the tools they needed to make strategic business decisions.
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What to Do When the Signal is Noise

on Jan 20, 2017 5:45:33 PM By | Tripp Smith | 0 Comments | Data Governance Big Data Data Assets
Market Volatility Points to Unreliable Forecasts Recent retail equities trading patterns illustrate how packaged consumer spending data, increasingly popular in forecasting, can leave traders hurrying to fix potentially expensive mistakes when the data points them in the wrong direction.
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Demise of the Data Dinosaurs 

on Jan 12, 2017 3:27:12 PM By | Eli Reiman | 0 Comments | Big Data data science Cloud
The big data landscape is feeling the meteoric shock-waves from the trifecta of Cloud Computing, Open Source software, and MPP (Massively Parallel Processing) databases.  Those who do not adapt to these changes will be overrun by newly evolved species who are more nimble, adaptable, and robust.  This post details the fundamental tenets which companies will need to embrace to survive the mass die-off of the data dinosaurs.
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How to Create a Blueprint for Your Healthcare Data

on Dec 13, 2016 3:01:49 PM By | Omar Shaker | 0 Comments | Healthcare Analytics HL7® medical billing EMR data modeling
Successful healthcare organizations are keeping their competitive edge by collecting, analyzing and using decades worth of data to inform their future decisions. But, in the same way that a home can not be built properly without a clear blueprint, data analytics can not be performed without a solid underlying data model.
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Decoupling Big Data Compute and Storage

on Dec 1, 2016 1:42:07 PM By | Tripp Smith | 0 Comments | Hadoop Big Data data architecture Analytics SQL
<   Once upon a time, if you wanted a multipurpose platform for analytics, SQL databases were the way to go. This was doubly true for big data, where volumes swelled beyond the capacity of a single machine to handle analytics on such a scale. Big data was simply too big to pass across the network, and data proximity was a fundamental assumption for MPP architecture. The concept of randomized distribution without consideration for the most common access paths was unthinkable.
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