Mar 29, 18: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

[  COVER OF THE WEEK ]

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Fake data  Source

[ AnalyticsWeek BYTES]

>> Caterpillar’s Next Dig: Big Data by analyticsweekpick

>> Oct 19, 17: #AnalyticsClub #Newsletter (Events, Tips, News & more..) by admin

>> Getting to Love: Customer Word Clouds by bobehayes

Wanna write? Click Here

[ NEWS BYTES]

>>
 Introducing New Data Center Worldisms – Data Center Knowledge Under  Data Center

>>
 Location Data in Your Salesforce CRM: CARTO Brings Geospatial Data and Analytics to Salesforce Einstein Analytics – MarTech Series Under  Sales Analytics

>>
 UCHealth Yampa Valley Medical Center recognized for overall excellence in quality and patient satisfaction – Steamboat Pilot & Today Under  Health Analytics

More NEWS ? Click Here

[ FEATURED COURSE]

Python for Beginners with Examples

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A practical Python course for beginners with examples and exercises…. more

[ FEATURED READ]

On Intelligence

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Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one strok… more

[ TIPS & TRICKS OF THE WEEK]

Fix the Culture, spread awareness to get awareness
Adoption of analytics tools and capabilities has not yet caught up to industry standards. Talent has always been the bottleneck towards achieving the comparative enterprise adoption. One of the primal reason is lack of understanding and knowledge within the stakeholders. To facilitate wider adoption, data analytics leaders, users, and community members needs to step up to create awareness within the organization. An aware organization goes a long way in helping get quick buy-ins and better funding which ultimately leads to faster adoption. So be the voice that you want to hear from leadership.

[ DATA SCIENCE Q&A]

Q:How to detect individual paid accounts shared by multiple users?
A: * Check geographical region: Friday morning a log in from Paris and Friday evening a log in from Tokyo
* Bandwidth consumption: if a user goes over some high limit
* Counter of live sessions: if they have 100 sessions per day (4 times per hour) that seems more than one person can do

Source

[ VIDEO OF THE WEEK]

#BigData @AnalyticsWeek #FutureOfData #Podcast with  John Young, @Epsilonmktg

 #BigData @AnalyticsWeek #FutureOfData #Podcast with John Young, @Epsilonmktg

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[ QUOTE OF THE WEEK]

I keep saying that the sexy job in the next 10 years will be statisticians. And I’m not kidding. – Hal Varian

[ PODCAST OF THE WEEK]

#BigData @AnalyticsWeek #FutureOfData #Podcast with Nathaniel Lin (@analytics123), @NFPA

 #BigData @AnalyticsWeek #FutureOfData #Podcast with Nathaniel Lin (@analytics123), @NFPA

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[ FACT OF THE WEEK]

Every person in the world having more than 215m high-resolution MRI scans a day.

Sourced from: Analytics.CLUB #WEB Newsletter

ADP Launches Its Own Big Data Analytics Cloud Platform

ADPlogo.290x195
Automatic Data Processing—better known as ADP, the payroll service to much of the world—went into the big data platform business on May 12. And why not, with more than 600,000 client businesses and 24 million employees in the U.S. alone from which to access piles of metadata.
Roseland, N.J.-based ADP is the payroll accounting service that uses its aggregate metadata to generate a monthly jobs report that is respected by many economists. In fact, because it is the largest payroll processor in the nation, ADP’s vast big data silo from U.S. companies and their employees ranks second only to the employee records of the U.S. federal government.
So ADP has started to use all that data for a new business wing: a big data-based cloud service. ADP DataCloud is designed to put day-to-day analytics capabilities in the hands of line-of-business accounting and HR staff members, enabling them to obtain insights from the workforce data already embedded in their individual ADP human capital management systems.
ADP DataCloud aims to boost business and workforce management goals, such as workforce productivity, talent development, retention and the identification of flight risks. More than 1,000 ADP clients already are using these analytics capabilities.
Exploring the Trends Impacting the Modern Data Center Download Now
ADP DataCloud provides companies with critical information that can help answer key questions facing not only HR, but the overall business. A consumer-grade user experience blended with analytics allows clients to obtain deep enterprise insights across the organization’s HCM data. The embedded big data platform is within ADP’s core solutions, including ADP Vantage HCM, Enterprise HR, ADP Workforce Now and ADP Time & Attendance.

Key features include the following:
Benchmarking: Offers companies the ability to compare HCM metrics with an aggregated and anonymous market benchmark at the industry, location and job-title level to inform key workforce decisions.
Data exchange: Provides companies with the ability to combine workforce data with other types of business data, such as sales or customer satisfaction scores, from non-ADP platforms to identify key deeper business insights and actions.
Predictive analytics: Utilizes predictive models derived from ADP data to help employers make smarter, forward-looking workforce decisions by providing insight into the likelihood of specific workforce management outcomes. The first capability helps employers identify those employees likely to leave their organization.
A new research project commissioned by ADP found that 75 percent of companies with 1,000 or more employees have access to data to inform business decisions, but only 46 percent are using workforce analytics capabilities to improve business decision making. The same study found that 42 percent of company finance executives and 32 percent of midlevel managers want to utilize workforce analytics.
The study consisted of a 2015 survey of 300 HR executives, finance executives and managers at companies with 1,000+ employees.

Originally posted at: http://www.eweek.com/enterprise-apps/adp-launches-its-own-big-data-analytics-platform.html

Source

Mar 22, 18: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

[  COVER OF THE WEEK ]

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Data Accuracy  Source

[ NEWS BYTES]

>>
 Turning the Internet of Things into the “Internet of Secure Things” – CIO Under  Internet Of Things

>>
 With Rs 100 Cr, three CAs and a data scientist are fixing loopholes in the SME lending market – YourStory.com Under  Data Scientist

>>
 AWS is partnering with Cerner on cloud deal for HealtheIntent – CNBC Under  Cloud

More NEWS ? Click Here

[ FEATURED COURSE]

CS109 Data Science

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Learning from data in order to gain useful predictions and insights. This course introduces methods for five key facets of an investigation: data wrangling, cleaning, and sampling to get a suitable data set; data managem… more

[ FEATURED READ]

Hypothesis Testing: A Visual Introduction To Statistical Significance

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Statistical significance is a way of determining if an outcome occurred by random chance, or did something cause that outcome to be different than the expected baseline. Statistical significance calculations find their … more

[ TIPS & TRICKS OF THE WEEK]

Fix the Culture, spread awareness to get awareness
Adoption of analytics tools and capabilities has not yet caught up to industry standards. Talent has always been the bottleneck towards achieving the comparative enterprise adoption. One of the primal reason is lack of understanding and knowledge within the stakeholders. To facilitate wider adoption, data analytics leaders, users, and community members needs to step up to create awareness within the organization. An aware organization goes a long way in helping get quick buy-ins and better funding which ultimately leads to faster adoption. So be the voice that you want to hear from leadership.

[ DATA SCIENCE Q&A]

Q:How do you control for biases?
A: * Choose a representative sample, preferably by a random method
* Choose an adequate size of sample
* Identify all confounding factors if possible
* Identify sources of bias and include them as additional predictors in statistical analyses
* Use randomization: by randomly recruiting or assigning subjects in a study, all our experimental groups have an equal chance of being influenced by the same bias

Notes:
– Randomization: in randomized control trials, research participants are assigned by chance, rather than by choice to either the experimental group or the control group.
– Random sampling: obtaining data that is representative of the population of interest

Source

[ VIDEO OF THE WEEK]

#BigData @AnalyticsWeek #FutureOfData #Podcast with @MichOConnell, @Tibco

 #BigData @AnalyticsWeek #FutureOfData #Podcast with @MichOConnell, @Tibco

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[ QUOTE OF THE WEEK]

Data really powers everything that we do. – Jeff Weiner

[ PODCAST OF THE WEEK]

@Schmarzo @DellEMC on Ingredients of healthy #DataScience practice #FutureOfData #Podcast

 @Schmarzo @DellEMC on Ingredients of healthy #DataScience practice #FutureOfData #Podcast

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[ FACT OF THE WEEK]

In that same survey, by a small but noticeable margin, executives at small companies (fewer than 1,000 employees) are nearly 10 percent more likely to view data as a strategic differentiator than their counterparts at large enterprises.

Sourced from: Analytics.CLUB #WEB Newsletter

How Google Understands You [Infographic]

How Google Understands You [Infographic]
How Google Understands You [Infographic]

You thought the human brain was complex? With its ability to retrieve stored memories from years past and forge connections from seemingly disparate topics, it truly seems like the brain is a miraculous organ that rules our everyday lives. But what about the Google brain? Just as intricate and just as ever-changing as a human’s brain, the Google search engine works to make associations, recommendations, and analysis based upon your search phrases.

However, the question remains: how does Google understand what we want from it? When we ask it a question, how do those millions of results show up for us effortlessly, ranked in terms of relevancy and authority? Every one of us takes this process for granted so in this infographic, we’ll look at the inner mechanics of the Google search engine that produces the results you see on your screen.

How Google Understands You [INFOGRAPHIC]
Infographic by Vertical Measures

Originally Posted at: How Google Understands You [Infographic] by v1shal

Mar 15, 18: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

[  COVER OF THE WEEK ]

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Productivity  Source

[ AnalyticsWeek BYTES]

>> Why Is Big Data Is So Big In Health Care? by analyticsweek

>> SAS enlarges its palette for big data analysis by analyticsweekpick

>> The ultimate customer experience [infographic] by v1shal

Wanna write? Click Here

[ NEWS BYTES]

>>
 Rival IQ Provides Free Social Media Analytics to HubSpot Customers with New Integration PartnershipHubSpot … – Markets Insider Under  Social Analytics

>>
 Deloitte: 5 Trends That Will Drive Machine Learning Adoption – InformationWeek Under  Machine Learning

>>
 What Data Science Can Tell Us About Our World – Yale News Under  Data Science

More NEWS ? Click Here

[ FEATURED COURSE]

Learning from data: Machine learning course

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This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applicati… more

[ FEATURED READ]

The Industries of the Future

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The New York Times bestseller, from leading innovation expert Alec Ross, a “fascinating vision” (Forbes) of what’s next for the world and how to navigate the changes the future will bring…. more

[ TIPS & TRICKS OF THE WEEK]

Analytics Strategy that is Startup Compliant
With right tools, capturing data is easy but not being able to handle data could lead to chaos. One of the most reliable startup strategy for adopting data analytics is TUM or The Ultimate Metric. This is the metric that matters the most to your startup. Some advantages of TUM: It answers the most important business question, it cleans up your goals, it inspires innovation and helps you understand the entire quantified business.

[ DATA SCIENCE Q&A]

Q:What is A/B testing?
A: * Two-sample hypothesis testing
* Randomized experiments with two variants: A and B
* A: control; B: variation
* User-experience design: identify changes to web pages that increase clicks on a banner
* Current website: control; NULL hypothesis
* New version: variation; alternative hypothesis

Source

[ VIDEO OF THE WEEK]

#FutureOfData with @theClaymethod, @TiVo discussing running analytics in media industry

 #FutureOfData with @theClaymethod, @TiVo discussing running analytics in media industry

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[ QUOTE OF THE WEEK]

Getting information off the Internet is like taking a drink from a firehose. – Mitchell Kapor

[ PODCAST OF THE WEEK]

#FutureOfData with @CharlieDataMine, @Oracle discussing running analytics in an enterprise

 #FutureOfData with @CharlieDataMine, @Oracle discussing running analytics in an enterprise

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[ FACT OF THE WEEK]

Poor data across businesses and the government costs the U.S. economy $3.1 trillion dollars a year.

Sourced from: Analytics.CLUB #WEB Newsletter

Using Big Data to Kick-start Your Career

Gordon Square Communications and WAAT offers tips about how to make the most of online resources to land a dream job – all without spending a penny.

Left to right: Vamory Traore, Sylvia Arthur and Grzegorz Gonciarz

You are probably familiar with Monster.com or Indeed.com, huge jobs websites where you can upload your CV together with other 150 million people every month.

The bad news is that it is unlikely that your CV will ever get seen on one of these websites, discovered attendees of London Technology Week event Using Tech to Find a Job at Home or Abroad.

“There are too many people looking for a small number of jobs,” says Sylvia Arthur, Communicator Consultant at Gordon Square Communications and author of the book Get Hired! out on 30th June.

“The problem is that only 20% of jobs are advertised, while 25% of people are seeking a new job. If you divide twenty by twenty-five, the result of the equation is that you lose,” explains Ms Arthur.

So, how can we use technology to effectively find a job?

The first step is to analyse the “Big Data” – all the information that tells us about trends or associations, especially relating to human behaviour.

For example, if we were looking for a job in IT, we could read in the news that a new IT company has opened in Shoreditch, and from there understand that there are new IT jobs available in East London.

Big Data also tells us about salaries and cost of living in different areas, or what skills are required.

“Read job boards not as much to find a job as to understand what are the growing sectors and the jobs of the future,” is Ms Arthur’s advice.

Once you know where to go with the skills you have, you need to bear in mind that most recruiters receive thousands of CVs for a single job and they would rather ask a colleague for a referral than scan through all of them.

So if you are not lucky enough to have connections, you need to be proactive and make yourself known in the industry. “Comment, publish, be active in your area, showcase your knowledge,” says Ms Arthur.

“And when you read about an interesting opportunity, be proactive and contact the CEO, tell them what you know and what you can do for them. LinkedIn Premium free trial is a great tool to get in touch with these people.”

Another good advice is to follow the key people in your sector on social media. Of all the jobs posted on social media, 51% are on Twitter, compared to only 23% on LinkedIn.

And for those looking for jobs in the EEA, it is worth checking out EURES, a free online platform where job seekers across Europe are connected with validated recruiters.

“In Europe there are some countries with shortage of skilled workforce and others with high unemployment,” explains Grzegorz Gonciarz and Vamory Traore from WAAT.

“The aim of EURES is to tackle this problem.”

Advisers with local knowledge also help jobseekers to find more information about working and living in another European country before they move.

As for recent graduates looking for experience, a new EURES program called Drop’pin will start next week.

The program aims to fill the skills gap that separates young people from recruitment through free training sessions both online and on location.

To read the original article on London Technology Week, click here.

Originally Posted at: Using Big Data to Kick-start Your Career

Mar 08, 18: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

[  COVER OF THE WEEK ]

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Data Mining  Source

[ AnalyticsWeek BYTES]

>> February 13, 2017 Health and Biotech analytics news roundup by pstein

>> Genomics England exploits big data analytics to personalise cancer treatment by analyticsweekpick

>> Looking for Building Machine Learning Solution? Learn From a Bartender by v1shal

Wanna write? Click Here

[ NEWS BYTES]

>>
 Syngenta Signs Long-Term Licensing of NRGene’s Data Analytics Platform – CropLife Under  Big Data Analytics

>>
 IT managers view data security as biggest priority – LocalGov.co.uk … – LocalGov Under  Data Security

>>
 A mysterious radiation cloud spread over Europe in September. Russia finally acknowledged it. – Vox Under  Cloud

More NEWS ? Click Here

[ FEATURED COURSE]

Statistical Thinking and Data Analysis

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This course is an introduction to statistical data analysis. Topics are chosen from applied probability, sampling, estimation, hypothesis testing, linear regression, analysis of variance, categorical data analysis, and n… more

[ FEATURED READ]

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

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Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the “data-analytic thinking” necessary for e… more

[ TIPS & TRICKS OF THE WEEK]

Save yourself from zombie apocalypse from unscalable models
One living and breathing zombie in today’s analytical models is the pulsating absence of error bars. Not every model is scalable or holds ground with increasing data. Error bars that is tagged to almost every models should be duly calibrated. As business models rake in more data the error bars keep it sensible and in check. If error bars are not accounted for, we will make our models susceptible to failure leading us to halloween that we never wants to see.

[ DATA SCIENCE Q&A]

Q:Provide examples of machine-to-machine communications?
A: Telemedicine
– Heart patients wear specialized monitor which gather information regarding heart state
– The collected data is sent to an electronic implanted device which sends back electric shocks to the patient for correcting incorrect rhythms

Product restocking
– Vending machines are capable of messaging the distributor whenever an item is running out of stock

Source

[ VIDEO OF THE WEEK]

@SidProbstein / @AIFoundry on Leading #DataDriven Technology Transformation #FutureOfData #Podcast

 @SidProbstein / @AIFoundry on Leading #DataDriven Technology Transformation #FutureOfData #Podcast

Subscribe to  Youtube

[ QUOTE OF THE WEEK]

Data is not information, information is not knowledge, knowledge is not understanding, understanding is not wisdom. – Clifford Stoll

[ PODCAST OF THE WEEK]

#FutureOfData with @CharlieDataMine, @Oracle discussing running analytics in an enterprise

 #FutureOfData with @CharlieDataMine, @Oracle discussing running analytics in an enterprise

Subscribe 

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[ FACT OF THE WEEK]

A quarter of decision-makers surveyed predict that data volumes in their companies will rise by more than 60 per cent by the end of 2014, with the average of all respondents anticipating a growth of no less than 42 per cent.

Sourced from: Analytics.CLUB #WEB Newsletter

Benchmarking the share of voice of Coca-Cola, Red Bull and Pepsi

Today we’re comparing three soft drink brands: Coca Cola, Pepsi and Red Bull. All are big names in the beverages industry. We’ll use BuzzTalk’s benchmark tool to find out which brand is talked about the most and how people feel about this brand. As you probably know it’s not enough if people talk about your brand. You want them to be positive and enthusiastic.

Coca Cola has the largest Share of Voice

In order to benchmark these brands we’ve created three Media Reports in BuzzTalk. These are all set-up the same way. We include news sites, blogs, journals and Twitter for the time period starting at 23 September 2013. In these reports we didn’t include printed media.

softdrinks share of buzzAs you can see Coca Cola (blue) is the dominant brand online. Nearly 45% of the publications mention Coca Cola. Red Bull (green) and Pepsi Cola (red) follow close to each other at 29 and 26%.

Benchmarking the Buzz as not all buzz is created equal

Coca Cola doesn’t dominate everywhere on the web. If we take a closer look the dominance of Coca Cola is predominantly caused by it’s share of tweets. When we zoom in on news sites we notice it’s Red Bull who’s got the biggest piece of the pie. On blogs (not shown) Coca Cola and Red Bull match up.

buzz by content type

Is Coca Cola’s dominance on Twitter due to Beliebers?

About 99,6% of Coca Cola related publications is on Twitter. Most of these tweets relate to the Coca-Cola.FM radio station in South America in relation with Justin Bieber. On 12th November Coca Cola streamed the concert of this young pop star and what we’re seeing here is the effect of ‘Beliebers’ on the share of voice.

coca cola hashtag justin bieber

The Coca Cola Christmas effect can still be detected

The Bieber effect is even stronger than christmas (42884 versus 2764 tweets).

coca cola hashtag xmas

Last year we demonstrated what’s marking the countdown to the holidays: it’s the release of the new Coca Cola TV-commercial. What we noticed then was a sudden increase in the mood state ‘tension’. In the following graph you can see it’s still there (Coca Cola is still in blue).

coca cola tension time novemberThe mood state ‘tension’ relates to both anxiety and excitement. It’s the emotion we pick up during large product releases. If this is the first time you’re reading about mood states we recommend reading this blogpost as an introduction. Mood states are an interesting add-on to sentiment to be used in predictions about human behavior. The ways in which actual predictions can be made are subject of ongoing research.

How do we feel about these brands?

Let’s examine some more mood states and see whether we can find a mood state that’s clearly associated with a brand. As you can see in the graphs below each soft drink brand gets it fair share of mood state tension. Tension not specific for Coca Cola, though it is more prominent during the countdown towards christmas.

mood states by brandPepsi Cola evokes the most ‘confusion’ and slightly more ‘anger’. The feelings of confusion are often related to feeling quilty after drinking (too much) Pepsi.

how do we feel

Red Bull generates the most mood states as it’s dominating not only for fatigue, but also – to a lesser extend – for depression, tension and vigor.

 

Striking is the amount of publications for Red Bull in which the mood state fatigue can be detected. They say “Red Bull gives you wings” and this tag line has become famous. People now associated tiredness with the desire for Red Bull. But people also blame Red Bull for (still) feeling tired or more tired. At least it’s good to see Red Bull also has it’s share in the ‘vigor’ mood state department.

To read the original article on BuzzTalk, click here.

Originally Posted at: Benchmarking the share of voice of Coca-Cola, Red Bull and Pepsi by analyticsweekpick