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The rapid growth in the usage of smartphones and other connected mobile devices has caused a spurt in the amount of data that flows through telecom operator networks. The operators must process, store, and extract information from the available data. By helping to optimize network use and services, improve customer experience, and improve security, Big Data analytics will help them increase productivity.

Research has shown that telecom companies have significant potential to benefit from Big Data

Greta Roberts, CEO, Talent Analytics, Corp.
Chair, Predictive Analytics World for Workforce

What is an employer’s most business-critical corporate process? At or near the top of this list has to be hiring employees that deliver more value to their role and company than they cost to their employer. Employees bring in revenue, rescue a customer, make your products, deliver goods, and sustain your profitability going forward. Identifying the right people, and avoiding the wrong ones, is an imperativ

Greta Roberts, CEO, Talent Analytics, Corp.

It’s exciting to watch advances in predictive and prescriptive employee solutions. Workday recently announced the release of an application enabling employers to “identify which employee is likely to quit, and what options need to be considered to retain that person”.

Workday is not the first to announce Flight Risk Scores of current employees. Many top Talent Management solutions have made similar announcements in the past several months. It’s a step

Greta Roberts, CEO Talent Analytics, Corp.

When beginning a new predictive analytics project, the client often mentions the importance of a “quick win”.  It makes sense to think about delivering fast results, in a limited area, that excites important stakeholders and gains support and funding for more predictive projects.  A great goal.

It’s the implementation of the quick win in a predictive project that can be difficult. There are at least 2 challenges with using a traditional quick win approach

By: Greta Roberts, CEO

Talent Analytics, Corp.

Imagine that Chris wants to buy a house and needs a mortgage. He applies online and is sent an email by an intern asking to schedule time to discuss his interest. The intern conducts the initial screening conversation, they schedule him for an in person interview during which time he is interviewed by quite a few folks who ask many questions.

Chris is curious because nobody asks about his current job or how he expects to pay the mortgage. Nobody asks