Jul 19, 18: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

[  COVER OF THE WEEK ]

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Complex data  Source

[ LOCAL EVENTS & SESSIONS]

More WEB events? Click Here

[ NEWS BYTES]

>>
 Protecting data in a hybrid cloud environment | Network World – Network World Under  Hybrid Cloud

>>
 Big Four Vs of Big Data – BW Businessworld Under  Big Data

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 Sr. Marketing Analyst – United States – Built In Austin Under  Marketing Analytics

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]

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]

Winter is coming, warm your Analytics Club
Yes and yes! As we are heading into winter what better way but to talk about our increasing dependence on data analytics to help with our decision making. Data and analytics driven decision making is rapidly sneaking its way into our core corporate DNA and we are not churning practice ground to test those models fast enough. Such snugly looking models have hidden nails which could induce unchartered pain if go unchecked. This is the right time to start thinking about putting Analytics Club[Data Analytics CoE] in your work place to help Lab out the best practices and provide test environment for those models.

[ DATA SCIENCE Q&A]

Q:Explain Tufte’s concept of ‘chart junk’?
A: All visuals elements in charts and graphs that are not necessary to comprehend the information represented, or that distract the viewer from this information

Examples of unnecessary elements include:
– Unnecessary text
– Heavy or dark grid lines
– Ornamented chart axes
– Pictures
– Background
– Unnecessary dimensions
– Elements depicted out of scale to one another
– 3-D simulations in line or bar charts

Source

[ VIDEO OF THE WEEK]

Pascal Marmier (@pmarmier) @SwissRe discusses running data driven innovation catalyst

 Pascal Marmier (@pmarmier) @SwissRe discusses running data driven innovation catalyst

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[ QUOTE OF THE WEEK]

Without big data, you are blind and deaf and in the middle of a freeway. – Geoffrey Moore

[ PODCAST OF THE WEEK]

@TimothyChou on World of #IOT & Its #Future Part 1 #FutureOfData #Podcast

 @TimothyChou on World of #IOT & Its #Future Part 1 #FutureOfData #Podcast

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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

A Timeline of Future Technologies 2019-2055

Our friends at Futurism uses the data from National Academy of Sciences, SmartThings Future Living reports, Scientific American, University of Bristol and several other sources to create this fascinating infographics.

A Timeline of Future Technologies 2019-2055
A Timeline of Future Technologies 2019-2055

originally posted @ https://futurism.com/images/things-to-come-a-timeline-of-future-technology-infographic/

Source by v1shal

Jul 12, 18: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

[  COVER OF THE WEEK ]

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Statistically Significant  Source

[ LOCAL EVENTS & SESSIONS]

More WEB events? Click Here

[ AnalyticsWeek BYTES]

>> 4 Ways Big Data Will Change Every Business by analyticsweekpick

>> 3 Emerging Big Data Careers in an IoT-Focused World by kmartin

>> Analyzing Big Data: A Customer-Centric Approach by bobehayes

Wanna write? Click Here

[ NEWS BYTES]

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 Global Data Analytics Outsourcing Market- By Key Players, Type, Application, Region, and Forecast 2018-2025 – City Councilor Under  Financial Analytics

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 Briggs And Stratton Hiring For 65 Jobs In Wauwatosa – Patch.com Under  Sales Analytics

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 Daunting challenges of data security and privacy & how AI comes to rescue – Analytics India Magazine Under  Data Security

More NEWS ? Click Here

[ FEATURED COURSE]

Pattern Discovery in Data Mining

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Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern disc… 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]

Data aids, not replace judgement
Data is a tool and means to help build a consensus to facilitate human decision-making but not replace it. Analysis converts data into information, information via context leads to insight. Insights lead to decision making which ultimately leads to outcomes that brings value. So, data is just the start, context and intuition plays a role.

[ DATA SCIENCE Q&A]

Q:How do you take millions of users with 100’s transactions each, amongst 10k’s of products and group the users together in meaningful segments?
A: 1. Some exploratory data analysis (get a first insight)

* Transactions by date
* Count of customers Vs number of items bought
* Total items Vs total basket per customer
* Total items Vs total basket per area

2.Create new features (per customer):

Counts:

* Total baskets (unique days)
* Total items
* Total spent
* Unique product id

Distributions:

* Items per basket
* Spent per basket
* Product id per basket
* Duration between visits
* Product preferences: proportion of items per product cat per basket

3. Too many features, dimension-reduction? PCA?

4. Clustering:

* PCA

5. Interpreting model fit
* View the clustering by principal component axis pairs PC1 Vs PC2, PC2 Vs PC1.
* Interpret each principal component regarding the linear combination it’s obtained from; example: PC1=spendy axis (proportion of baskets containing spendy items, raw counts of items and visits)

Source

[ VIDEO OF THE WEEK]

@JohnTLangton from @Wolters_Kluwer discussed his #AI Lead Startup Journey #FutureOfData #Podcast

 @JohnTLangton from @Wolters_Kluwer discussed his #AI Lead Startup Journey #FutureOfData #Podcast

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[ QUOTE OF THE WEEK]

We chose it because we deal with huge amounts of data. Besides, it sounds really cool. – Larry Page

[ PODCAST OF THE WEEK]

@CRGutowski from @GE_Digital on Using #Analytics to #Transform Sales #FutureOfData #Podcast

 @CRGutowski from @GE_Digital on Using #Analytics to #Transform Sales #FutureOfData #Podcast

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[ FACT OF THE WEEK]

Big data is a top business priority and drives enormous opportunity for business improvement. Wikibon’s own study projects that big data will be a $50 billion business by 2017.

Sourced from: Analytics.CLUB #WEB Newsletter

AtScale opens Hadoop’s big-data vaults to nonexpert business users

When it comes to business intelligence, most enterprise users are intimately acquainted with tools such as Microsoft Excel. They tend to feel less comfortable with data-management technologies like Hadoop—despite the considerable insights such tools could offer.

Enter AtScale, a startup that on Tuesday emerged from stealth with a new offering designed to designed to put those capabilities within closer reach. The AtScale Intelligence Platform is designed to enable interactive, multidimensional analyses on Hadoop from within standard BI tools such as Microsoft Excel, Tableau Software or QlikView, without the need for any data movement, custom drivers or a separate cluster.

“Today, millions of information workers could derive value from Hadoop, but their organizations have not been able to empower them to do so, either because their current toolset doesn’t work natively with Hadoop or because IT doesn’t have the tools to provision them with secure, self-service access,” said Dave Mariani, AtScale’s founder and CEO.

In essence, AtScale’s platform aims to give business users the ability to analyze in real time the entirety of their Hadoop data—tapping Hadoop SQL engines like Hive, Impala and Spark SQL—using the BI tools they are already familiar with. In that way, its intent is similar in many ways to that of Oracle, which recently unveiled new big-data tools of its own for nonexperts.

AtScale’s software strives to make big-data analytics accessible in several ways. Its cube designer, for instance, converts Hadoop into interactive OLAP cubes with full support for arrays, structs and non-scalars, enabling complex data to be converted into measures and dimensions that anyone can understand and manage, the company says.

“We have a community of more than 110 million users and a massive amount of data about how people play our games,” said Craig Fryar, head of business intelligence at Wargaming, creator of online game World of Tanks. “Our cluster stores billions of events that we can now easily explore in just a few clicks.

Originally posted via “AtScale opens Hadoop’s big-data vaults to nonexpert business users”

Source by analyticsweekpick

Jul 05, 18: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

[  COVER OF THE WEEK ]

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Tour of Accounting  Source

[ LOCAL EVENTS & SESSIONS]

More WEB events? Click Here

[ NEWS BYTES]

>>
 NIH Data Science Plan Aims to Boost Data Analytics, Access – Health IT Analytics Under  Health Analytics

>>
 Much More Than Toys – Why Organizations Need to Industrialize the Data Science Playground – Datamation Under  Data Science

>>
 ‘Sexiest job’ ignites talent wars as demand for data geeks soars – Chicago Tribune Under  Data Scientist

More NEWS ? Click Here

[ FEATURED COURSE]

Pattern Discovery in Data Mining

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Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern disc… more

[ FEATURED READ]

The Future of the Professions: How Technology Will Transform the Work of Human Experts

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This book predicts the decline of today’s professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want … more

[ TIPS & TRICKS OF THE WEEK]

Strong business case could save your project
Like anything in corporate culture, the project is oftentimes about the business, not the technology. With data analysis, the same type of thinking goes. It’s not always about the technicality but about the business implications. Data science project success criteria should include project management success criteria as well. This will ensure smooth adoption, easy buy-ins, room for wins and co-operating stakeholders. So, a good data scientist should also possess some qualities of a good project manager.

[ 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]

@chrisbishop on futurist's lens on #JobsOfFuture #FutureofWork #JobsOfFuture #Podcast

 @chrisbishop on futurist’s lens on #JobsOfFuture #FutureofWork #JobsOfFuture #Podcast

Subscribe to  Youtube

[ QUOTE OF THE WEEK]

Data beats emotions. – Sean Rad, founder of Ad.ly

[ PODCAST OF THE WEEK]

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

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

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[ FACT OF THE WEEK]

IDC Estimates that by 2020,business transactions on the internet- business-to-business and business-to-consumer – will reach 450 billion per day.

Sourced from: Analytics.CLUB #WEB Newsletter

May 15, 2017 Health and Biotech analytics news roundup

NHS taps artificial intelligence to crack cancer detection: The UK’s health service, Intel, and the University of Warwick are collaborating to form a ‘digital repository’ of known tumor cells, which they hope to use to develop new algorithms for classification of those cells.

When Cancer Patients Should Ask For Genetic Sequencing: At Memorial Sloan Kettering Cancer Center, more than 10,000 tumor biopsies from patients with advanced cancer were sequenced. Many of the patients had mutations that could be addressed with current treatments

Intermountain makes strides in precision medicine, advanced imaging: The Utah-based health system has added technology to perform specific and sensitive sequencing of solid tumor cells as well as imaging technology to monitor wounds.

How providers can use analytics to manage risk in value-based care: Two examples are presented: a Maryland hospital and a New York physician’s network.

Source: May 15, 2017 Health and Biotech analytics news roundup by pstein