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Articles for the keywords: Analytics
19 Jun 2017 Major Rendering Challenges Faced By Email Clients And Their Workarounds [64445]
Business 2 Community, June 19th 2017

"Email Marketing is still a widely used medium to reach a large set of audience. With a plethora of email clients available, it remains a challenge for email marketers to reach each and every subscriber in their list. No doubt, email marketing can bring great prospects for your business, but you need to make sure your email gets delivered and renders smoothly across the diverse email clients and devices used by your subscribers.

The recent Email Client Market Share report conducted by Litmus Email Analytics shows that the top 5 widely used email clients are Apple iPhone, Gmail, Apple iPad, Apple Mail, and Outlook. Marketers need to take into consideration the following challenges faced by email clients and their solutions while planning for email campaigns..."
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18 Jun 2017 Choosing the Right Microsoft Data Science Platform [64221]
Thursday, June 22nd, 2017: 6:00 PM to ...

Community Care Plan - Sunrise

So you've done traditional BI for some time, but now you and your company know it's time to dig into advanced analytics. The big question is, with so many data science platform options available, which one is the right one for us?

In this session we dive into the available platforms listed below and provide a brief summary, strengths and weaknesses, scale capabilities, and last but not least, pricing/licensing.

  • Microsoft R Open
  • Microsoft R Server
  • R and Python Services for SQL Server 2017
  • Azure Machine Learning- HDInsight (with Spark)- Microsoft Data Science VM

If you're looking to maximize and optimize your data science platform of choice, be sure to attend.

David Ortiz, Marilyn
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18 Jun 2017 3 Kinds Of Big Data Skills All Businesses Should Hire For [64234]
insideBIGDATA, June 10th 2017

"When businesses go about things right, big data is an extremely valuable tool that can provide specific types of analytics that help those companies find or maintain success. However, without employees on staff who know how to interpret the data and apply it to a company's everyday operations and future plans, even the most powerful big data resources are largely useless. Below are three types of big data analytics that are proving increasingly relevant. Let's look at why businesses need to hire people who have solid understandings of them..." - insideBIGDATA
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18 Jun 2017 Top Ten Articles for last few Issues [64185]
Vol 231 Issues 1, 2, 3 and 4 ; Vol 230 Issues 1, 2, 3 and 4

We track how frequently each article is viewed on the web site to determine which the readers consider the most important. For last week, the top 10 articles were:

  • 7 Ways To Secure Cloud Storage
  • 3 Things To Think About Before Firing An Employee
  • New Drone Technologies You Do Not Want To Miss
  • Tales In Tech History: Unix
  • How The CISO Moved From The Basement To The Boardroom
  • 22 Free Tools For Data Visualization And Analysis
  • 15 Tricky Job Interview Questions -- And How To Nail Them
  • Calculate The Cost Of Downtime
  • Understanding The Benefits And Threats When Building An Iot Strategy
  • AI's Ability To Process Big Data Will Shake Up Insurance

The longer version of this article has list of top ten articles for the last 8 weeks.
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18 Jun 2017 Big Data Tools [64226]
Datamation, June 6th 2017

Andy Patrizio writes in Datamation, "Big Data tools, clearly, are proliferating quickly in response to major demand. In the decade since Bid Data emerged as a concept and business strategy, thousands of tools have emerged to perform various tasks and processes, all of them promising to save you time, money and uncover business insights that will make you money. Clearly, Big Data analytics tools are enjoying a growing market.

Many of them started out like the initial Big Data software framework, Hadoop, as open source projects, but commercial entities have sprung up rapidly to provide either new tools or commercial support and development for the open source products.

Weeding through them all can be a challenge especially since many Big Data tools have a single purpose and you can do many different things with Big Data, so your analytics toolbox can get rather filled up. We'll run down a list of major Big Data analytics tools and then three major categories to keep in mind, as recommended by an expert consultant in this field..."
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