Tag Archive for data analytics

Why and How Your HR Department Should Be Using Big Data

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by Angela Guess Scott Beagrie recently wrote for HR Magazine, “Just like any other function in the organisation, HR is finding itself increasingly under pressure to make use of big data and analytics. A 2015 research report from Bersin by Deloitte says that HR needs to harness what it calls ‘out-of-the-box’ predictive analytics technologies to…

Accenture Launches Advanced Analytics Applications for the Telecom Industry

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by Angela Guess A recent article out of the company reports, “Accenture is launching five advanced analytics applications for the telecommunications industry, equipping users with customized analytics insights that can empower them to make smarter, data-driven decisions. Developed through the Accenture Analytics Applications Platform – a scalable platform that develops industry- and function-specific advanced analytics…

Accenture and Duke University Collaborate on Analytics Research

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by Angela Guess According to a recent article out of the company, “Accenture (NYSE: ACN) and Duke University have formed an alliance focused on jointly developing new advanced analytics solutions to address real-world, client-specific business challenges. The Accenture and Duke University Analytics Research Program, which will have an initial focus on health management research, aims…

5 Ways to Grow Your Business with Big Data

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by Angela Guess Jonha Revesencio recently wrote for Smart Data Collective, “Looking at the future of big data, around 53-percent of Internet experts and observers believe that it will cause a huge positive impact for society in nearly all aspects. It’s useful in a way that it can create transparency and allow better analysis of…

What’s the Difference Between Predictive Analytics and Data Science?

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by Angela Guess Steve Miller recently wrote for Information Management, “My company, Inquidia Consulting, is currently engaged in/completing several predictive analytics and data science projects. While we distinguish PA from DS, there’s often not a hard dividing line between the two with our customers. Indeed, though we demur, some now consider data science to be…

How IT Can and Should Get Involved in Data Analytics

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by Angela Guess Forbes contributor Meta S. Brown recently wrote, “Many IT pros are sincerely interested in supporting analytics, but don’t know how to differentiate legitimate business needs from nice-to-haves, and are frustrated that data analysts don’t understand and appreciate the reasons behind IT practices. In “=What Big Data Analytics Professionals Want From IT I…

7 Best Practices for Your Big Data Projects

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by Angela Guess Mary Shacklett recently wrote for TechRepublic, “Big data projects are well underway in most companies, but we are only now beginning to distill a set of IT management best practices for big data that can be plugged into IT playbooks. This is what we’ve learned, and how companies are incorporating big data…

3 Critical Questions to Ask Data Analyst Applicants

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by Angela Guess Angus Kidman recently wrote for Lifehacker, “Data scientists and analytics experts are much in demand and hard to locate, but how can you be sure you’ve got the best candidates, and what should you ask them? Google — obviously no slouch when it comes to analytics — has some useful suggestions on…

The Many Benefits of R

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by Angela Guess Joseph Sirosh of Microsoft recently opined in VentureBeat, “One of the most popular tools in data science today is the open-source programming language R. Simply put, R is the language of data. Over the last 20 years, statisticians all over the world have contributed their innovations to open source R. These contributions…