Sunday, May 24, 2020

The Four Major Types of Data Analytics

The big data transformation has brought forth various types, types and phases of data analysis. Meeting rooms across organizations are humming around with data analytics, offering enterprise-wide solutions for business achievement. In any case, what do these truly mean to organizations? The key to organizations effectively utilizing Big Data, is by picking up the correct data which conveys knowledge, that enables organizations to gain a serious edge.

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With diagnostic analytics, a hotel chain would look at the demand for VIP suites in various locales or hotels in a district, while the insurance agency would, for instance, get insights into what age group utilizes dental treatment the most in the target area. In the interim, an online retail store may utilize diagnostic analytics to perceive what areas requested a specific product from new arrivals more.

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Publisher: Analytics Insight
Date: 2020-05-24T13:56:20 05:30
Twitter: @analyticsinme
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While you're here, how about this:

ThetaRay, Provider of Big Data and AI-enhanced Analytics Tools, Introduces FastStart Platform to

Israel-based ThetaRay , a provider of Big Data and artificial intelligence (AI)-enhanced analytics tools, has launched FastStart , a product that aims to address the requirements of financial institutions during the COVID-19 crisis.

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"Since the pandemic began, banks have seen a 25% surge in fraud and 35% in alerts. Making it worse, some banks do not include teams conducting fraud reviews and alert adjudication as 'essential' in their Business Continuity Plans."

Publisher: Crowdfund Insider
Date: 2020-05-24T01:16:06-04:00
Author: Omar Faridi
Twitter: @CrowdfundInside
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GE Digital: smarter manufacturing with AI & analytics | Technology | Manufacturing Global

Cobus van Heerden, Senior Product Manager, Analytics & Machine Learning, GE Digital, discusses the current AI and analytics trends in manufacturing.

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Process engineers have exceptional domain expertise to put together process models – or Process Digital Twins – and be able to interpret the models. This is the foundation for improving competitive advantage and success with analytics.

With Machine Learning and analytics, industrial organizations can capitalize on the IoT opportunity, optimize operations, and generate greater profitability. Additionally, engaging in the latest analytics technologies also helps to attract and retain the best talent.

Twitter: @BizClikMedia
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Top Four Retail Analytics Trends to Watch Out For in 2020 | Quantzig

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20200521005463/en/

According to Quantzig's retail analytics experts , "The adoption of retail analytics solutions is increasing rapidly as more retailers worldwide are realizing significant returns from using BI and analytics platforms."

Based on a detailed study of the retail sector, our retail analytics experts have curated a list of top retail analytics trends that will help companies to gain in-depth insights into the market scenario. Also, these retail analytics trends will help organizations to devise more agile, receptive, and cohesive data management systems and adopt new strategies to target specific objectives such as increasing footfall and improving customer loyalty.

Date: A9862C0E6E1BE95BCE0BF3D0298FD58B
Twitter: @YahooFinance
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And here's another article:

4 Crucial Ways to Unlock the Power of Analytics - UC Today

That data plays a critical role in everything from business optimisation, to cost-cutting, and even customer experience. The question is, how do we capture the information available, and use it in a manner that's going to deliver great results?

Today, we're going to look at some of the amazing ways that business leaders can unlock the power of analytics and use it to transform their organisation.

Consumers are one of the groups generating the largest amounts of data in today's digital world. People in different channels are constantly providing access to new pieces of information about everything from buying habits, to sentiment towards certain brands.

Publisher: UC Today
Date: 2020-05-14T04:33:55 00:00
Twitter: @uctodaynews
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The next chapter in analytics: data storytelling | MIT Sloan

Countless organizations are dialing up analytics to turn the glut of enterprise data into actionable business insights.

But many of the endless charts, dashboards, and visualizations fall flat with their intended audience. Sometimes it's a matter of overwhelming recipients with too much data; other times, it's about presenting the wrong data or not fully understanding how to create an effective narrative that will resonate with recipients.

Enter data storytelling, a skill set handcrafted for the era of big data. While interpretations vary, most experts describe data storytelling as the ability to convey data not just in numbers or charts, but as a narrative that humans can comprehend.

Publisher: MIT Sloan
Twitter: @MITSloan
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Real-time Analytics News Roundup for Week Ending May 23 - RTInsights

In the news this week: IDC defines an interoperable framework for AI infrastructure stacks, digital twins get some attention, and more.

Keeping pace with news and developments in the real-time analytics market can be a daunting task. We want to help by providing a summary of some of the items our staff came across each week. Here is a short list of some news from this week:

International Data Corporation ( IDC ) offered a first look at infrastructure stacks for Artificial Intelligence (AI) applications . In a report, IDC defines an interoperable framework for infrastructure stacks to deploy AI applications, referred to as the AI Plane (AIP). The reports also discuss vendor-specific implementations of AI infrastructure stacks that are currently available in the market.

Publisher: RTInsights
Date: 2020-05-23T01:14:51 00:00
Twitter: @rtinsights
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Five Ways AI and Analytics is Revolutionizing Supply Chain Management | Read Quantzig’s

Though closely related artificial intelligence and analytics do not mean the same. Today, several analytics processes make use of AI-based technologies. AI-powered analytics tools empower humans and machines to work more closely, making the work process more fluid and adaptive. Artificial intelligence has also helped several businesses to drive superior customer experiences by gathering and interpreting customer data.

"Artificial intelligence-based technologies along with analytical insights augment the role of skilled workers, allowing them to provide more value to their organizations," says a supply chain analytics expert from Quantzig.

Date: 2020-05-22
Twitter: @businesswire
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