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The Data Talent Market Continues Its Ascent

We’re at an important inflection point in history where a glaring shortage of data-centric skills, coupled with an increasing demand for data professionals, represents a unique opportunity for those willing to make a commitment to “tool up” or “retool” as the case may be, in preparation for a career in analytics. The good thing is, after all the time and effort, the newly acquired skills will keep on giving because the analytics field shall continue to be in favor for a very long time.

Future of Data Talent Report

Correlation One released its Future of Data Talent Report, which helps organizations: Define a framework to identify the most important data workflows and roles. Establish a standard assessment methodology for accurately and efficiently evaluate data skills when hiring.

DataOps: The New DevOps of Analytics

In this contributed article, Farnaz Erfan, Senior Director and Head of Product Marketing at Paxata, discusses how DataOps represents a change in culture that focuses on improving collaboration and accelerating service delivery by adopting lean or iterative practices. Unlike its close cousin DevOps, which focuses on operations and development teams, DataOps is geared towards the data developers, data analysts or data scientists.

High Volume and Multi-source Analytics

In this contributed article, Justin Langseth, Co-Founder & Chairman of Zoomdata, offers two approaches, together with modern cloud-native data storage, data engines, and BI tooling, relatively simple yet hyper-scalable approaches can start to help tame data entropy, handle the exponentially-growing size, speed, and potential sources of data, and still deliver solid value and insights to end users.

Tableau Releases Ask Data, A New and Intuitive Way to Analyze Data With Natural Language

Tableau Software (NYSE: DATA), a leading analytics platform, announced the general availability of Ask Data, which leverages the power of natural language processing to enable people to ask data questions in plain language and instantly get a visual response right in Tableau. This patent pending capability makes it easier for anyone, regardless of skill set, to engage deeply with data and produce analytical insights they can share with others without having to do any setup or programming.

6 Ways Companies Are Using Data Analytics to Reduce Expenses

In this contributed article, technology writer and blogger Kayla Matthews explores how expense reduction is a constant goal for most companies. Fortunately, data analytics can assist with keeping costs down in several ways. Here are six of them.

FICO Xpress Insight Enables Users to Operationalize Analytics

FICO announced a community version of FICO Xpress Insight, a decision support application that enables data scientists to rapidly deploy any advanced analytic or optimization model as a powerful business application.

Elected Leaders Need Operations Research and Analytics to Deliver Better Results from Enhanced Data Availability

In this contributed article, Nicholas G. Hall, the 2018 president of INFORMS and Fisher College of Business Distinguished Professor at The Ohio State University, suggests that with midterm elections behind us and the 116th United States Congress ahead of us, Washington has a unique opportunity to advance operations research (O.R.) and analytics as a priority to enhance how the federal government implements public policies, makes critical decisions, and conducts its day-to-day operations. What could be more important for our elected leaders than using the best data and insights to make a positive difference for the American people and to strengthen our position vis a vis our nation’s allies and enemies?

Equifax Delivers on Data for Customers in 2018

Equifax Inc. (NYSE: EFX) delivered on its commitment to helping customers make smarter decisions with unique data throughout 2018 with the introduction of new solutions, technologies and services across multiple industries. Hundreds of data scientists in the global Equifax Data & Analytics Lab work every day to better connect the company’s unique data with the unique needs of customers through a relentless pursuit of new innovation in predictive analytics, machine learning and explainable artificial intelligence (AI).

Qlik Expands Analytics and BI Leadership in AI and Machine Learning

Qlik® continues to lead the analytics and business intelligence industry in delivering AI (augmented intelligence) innovation that expands the value of Qlik’s platform for all users. With the November 2018 release of Qlik Sense®, Qlik has introduced new machine learning (ML) capabilities into its cognitive engine and platform. Precedent-based machine learning allows the Qlik cognitive engine to get smarter over time, continually learning from user interaction and feedback as well as other sources. Qlik is the first analytics company to bring AI and ML capabilities together with human intuition in a way that truly augments the user’s power to discover.