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insideBIGDATA Guide to Data Analytics in Government

The insideBIGDATA Guide to Data Analytics in Government provides an in-depth overview of the use of data analytics technology in the public
sector. Focus is given to how data analytics is being used in the government setting with a number of high-profile use case examples, how the Internet-of-Things is taking a firm hold in helping government agencies collect and find insights in a broadening number of data sources, how government sponsored healthcare and life sciences are expanding, as well as how cybersecurity and data analytics are helping to secure government applications.

Business Intelligence 2.0 – If You Can’t Measure It, You Can’t Manage It

In this special guest feature, Avi Avital, VP Customer Success at Anodot discusses the need to empower analytics with anomaly detection capabilities and how this adjunct is becoming a major component of the next wave of BI, or BI 2.0.

Data & The Chanel Effect

In this contributed article, Samuel Lim, CEO & Co-founder at Reebonz.com, discusses data’s role in opening up luxury to a broader market: aka The Chanel Effect.

Bigger is Better: Why Enterprise Analytics Needs Scale

In this special guest feature, Andrew Pease, Principal Business Solutions Manager at SAS, discusses why enterprise analytics must incorporate scale and its relation to speed and innovation within an organization.

Uncovering Opportunities at the Intersection of Public and Private Data

In this special guest feature, Hicham Oudghiri, CEO and Co-Founder at Enigma, discusses how data analysis as a tool for solving problems requires an understanding that the answer lies within the data set, either in the form of an insight or actionable anomaly. As businesses turn to analytics more to solve their everyday issues, it is important to understand what data can and can’t do, and to understand how to identify which data sets in a sea of data can help solve the problem at hand.

Syncsort’s Annual Mainframe Survey Spotlights Big Iron’s Critical Role in Big Data Analytics

Syncsort, a global leader in Big Iron to Big Data solutions, announced the results from its annual “State of the Mainframe” survey, which underscore the rising importance of mainframe data as a critical component of enterprise-wide strategies that leverage modern data architectures for Big Data analytics.

Sumo Logic Delivers Multi-Tenant SaaS Security Analytics Solution with Integrated Threat Intelligence

Sumo Logic, a leading cloud-native, machine data analytics service, announced the availability of the industry’s first multi-tenant SaaS security analytics solution with integrated threat intelligence. This, coupled with new security apps for monitoring and compliance and a milestone certification for PCI DSS 3.2, demonstrates Sumo Logic’s strong momentum and commitment to providing leading-edge security analytics capabilities and compliance standards to customers.

Tech Employers Say Soft Skills are Top Hiring Factors for Data Analytics Jobs

In this contributed article, Bobbie Kilberg, President and CEO of the Northern Virginia Technology Council (NVTC), discusses the misconception that tech is all about tech, and which areas employment prospects should be focusing on. More and more businesses and governments are capturing, analyzing and interpreting huge amounts of data to boost organizational performance, promote new discovery and understanding, enhance decision making, and tackle public policy and societal challenges.

Cluvio Announces New Pricing Including a Completely Free Cloud Analytics Plan

Cluvio, the first cloud analytics SaaS platform to offer combined power of SQL and R for data science and visualization, announced the launch of new pricing options, including Cluvio Free and Cluvio Starter plans, to simplify the entry into the data-driven era for Small and Medium Enterprises.

The Customer Experience Has Evolved Thanks to IoT – The Time is Now for Contact Centers to Take Charge

In this special guest feature Jack Nichols, Director of Product Management at Genesys, discusses IoT and how with all this data available in near real-time, businesses must determine how to leverage it in a way that equally serves themselves and their customers.