Saturday, May 16, 2020

How to implement augmented analytics--data science experience not required for users -

Using augmented analytics can help you pull insight from your big data--but approach it with caution.

Conversations about big data and analytics have emphasized the importance of leveraging data for the past decade. What hasn't been discussed as often is the need to leverage the ability of people to understand data and apply this understanding to the business.

Instead of waiting for a data scientist or an IT specialist to assemble complex data models and algorithms to query data, an end user without formal background in data science can submit a request in a natural language like English, which a software engine translates into machine-understandable code. The code automatically creates the required analytics models to detect patterns, trends, and anomalies in the data to answer the request.

Publisher: TechRepublic
Twitter: @TechRepublic
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Analytics and data collecting spur helmet safety in football | Pittsburgh Post-Gazette
Publisher: Pittsburgh Post-Gazette
Twitter: @PittsburghPG
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Global Analytics Market by Components, Verticals and Region - Global Forecast to 2021 and the

The major factors driving the growth of COVID-19 impact on the analytics industry include increasing demand for digital transformation, increased investments in analytics, growing demand for remote services & location data, and increasing need for real-time information to track and monitor the COVID-19 spread.

The COVID-19 impact on the analytics market, by component, is segmented into solutions and services. The services segment is expected to grow at a rapid pace during the forecast period. The services considered in the report are managed and professional services. The growth of this segment can be attributed to the increasing deployment of analytics solutions, which leads to the growing demand for pre- and post-deployment services.

Date: 2020-05-15
Twitter: @businesswire
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Spotify Combines Artist, Label Analytics In One Place | Billboard

Spotify announced in a blog post today (May 15) that it will be combining its separate data and analytics dashboards, one of which was for artists and managers, the other of which was for labels and distributors, into one place: a revamped Spotify For Artists.

The new configuration will allow labels and distributors -- whose previous dashboard was called Spotify Analytics -- to access and help manage artists' profiles on the platform, with a log of actions documenting any edits or changes made to allow multiple parties to work together on one page.

Publisher: Billboard
Date: 2020-05-15T11:00:37-04:00
Twitter: @billboard
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And here's another article:

Keep calm and carry on using data and analytics | ITProPortal

Amid the global health crisis, business leaders are scrambling to maintain order, keep their organisations from collapsing, and preserve jobs. The economy is taking an historic beating, and companies must respond quickly in order to protect themselves and their people. If a company has a swift reaction, it can look to safeguard as many jobs as possible, while simultaneously retaining a smooth business operating process.

It is vital to recognise that this does not breach privacy. These analytics keep employee output anonymous. Typically, programmes will use functions such as a key word search or emoji capture, and the resulting algorithms give real-time reporting on the mood being experienced throughout the workforce.

Publisher: ITProPortal
Date: 2020-05-15T10:00:03 00:00
Author: https www facebook com itproportal
Twitter: @itproportal
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Analyzing the Role of Patient Readmission Analytics in Reducing Readmission Rates |

"The ongoing tug of war for better outcomes and enhanced care have prompted leading healthcare companies to streamline operations & deliver advanced patient-centric services to reduce readmission rates," says a healthcare analytics expert from Quantzig.

The Business Problem: The predictive models used by the client were isolated along the care continuum focusing only on certain silos and not the entire healthcare workflow. They approached Quantzig, looking to leverage patient readmission analytics to fully integrate predictive models into their workflows and devise readmission reduction strategies.

Date: 2020-05-15
Twitter: @businesswire
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Coronavirus has disrupted predictive analytics. Here's how to adjust. | Credit Union Journal

Credit unions at various stages of analytics maturity rely on predictive analytics models to serve members and solve business problems.

Whether built by their own data teams, custom designed by partners or purchased off the shelf from analytics vendors, the models delivered measurable results across several endeavors. The insights they generated helped credit unions stem the tide of attrition, cross-sell products and manage a wide range of risks.

* * *

This is not to say credit unions should stop using their predictive models. Rather, data teams should investigate using them in different ways. Here are three key ways credit unions can continue to rely on their models to make decisions throughout various stages of the COVID-19 crisis.

Publisher: Credit Union Journal
Date: 2020-05-15T15:06:11.305
Author: https www cujournal com author aaron grossman
Twitter: @CUJournal
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Nielsen's New Retail Pricing Analytics Brings Visibility And Stability to an Unstable Pricing

New York, NY – Nielsen (NYSE: NLSN) Global Connect today announced the successful rollout of its new Retail Pricing Analytics application tools. More than 60 leading consumer packaged goods (CPG) retailers in the U.S., including Associated Wholesale Grocers, Inc. (AWG), Coborn's, Smart & Final, ReFuel, Weis Markets and NPC, are powering their strategic pricing decisions through Nielsen's latest end-to-end pricing and promotion application.

Nielsen's Retail Pricing Analytics brings stability to an unstable pricing landscape impacted by geopolitical and supply chain hurdles—which, amid the COVID-19 pandemic, have driven inflation among nearly 80% of Nielsen U.S. measured product categories. The application integrates Nielsen's price intelligence data—built on the company's leading point-of-sale data—with machine learning algorithms to help retailers create, manage and improve pricing and promotion strategies.

Publisher: Perishable News
Date: 2020-05-15T18:02:00 00:00
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