Café de Analytics
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Café de Analytics
Making Analytics Delicious ! ™
Curated by Venkat Raman
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Be an Analytics Change Agent in 2014

Be an Analytics Change Agent in 2014 | Café de Analytics | Scoop.it

A change agent is a person who believes so strongly that they are right about how the company should operate that they are willing to put everything on the line to make it happen - up to and including their job.

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Nips, tucks, and tech: The next wave of fashion is all about the algorithmic fit

Nips, tucks, and tech: The next wave of fashion is all about the algorithmic fit | Café de Analytics | Scoop.it

The next wave of online fashion is all about the algorithmic fit. At least that's what the founders of a handful of new clothing startups are hoping. In the last two years, roughly thirteen such co...

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Google chief Eric Schmidt is personally bankrolling this data-science think tank

Google chief Eric Schmidt is personally bankrolling this data-science think tank | Café de Analytics | Scoop.it
Obama's chief Data scientist Rayid Ghani has just summoned 48 socially minded aspiring data scientists to Chicago this summer for a fellowship called Data Science for Social Good (DSSG). Funded by ...
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Can Big Data Analytics Really Engineer The Perfect Match ?

Can Big Data Analytics Really Engineer The Perfect Match ? | Café de Analytics | Scoop.it

Internet dating may be big business, but no-one has yet devised the perfect matching system. It may well be that the secret of true love is simply not susceptible to big data or any other type of analysis.

 

But, Dr Kang Zhao, an assistant professor at the University of Iowa and an expert in business analytics and social network analysis, has created a match-making system which looks at users' behavior as they browse a dating site for prospective partners, and at the responses they receive from people they contact.

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What Data Analytics Says About Gender Inequality in the Workplace

What Data Analytics Says About Gender Inequality in the Workplace | Café de Analytics | Scoop.it
So who’s right? Both arguments are thought-provoking, yet they’re not based on hard data. The current debate over the career challenges facing women is understandably passionate and sometimes ideologically charged. Yet maybe it’s time for data analytics and rigorous social science to play a more prominent role in the conversation.
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Why Doesn’t an Abundance of Analytics Translate into Actions?

Why Doesn’t an Abundance of Analytics Translate into Actions? | Café de Analytics | Scoop.it

Most companies heard about value of data-driven decisions, and every company accumulated more data than they know what to do with. Some enterprises invested in technology tools sold to capture transactions. While dashboards and interactive reports present us with an abundance of analytics results in real-time, I would like to ask you Dr. Phil’s question – “How’s That Working for Ya?”

 

For many people. distilling insights from analytics is challenging enough—translating those into specific actions is often impossible.

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Analytics – Equip the Man, Not Man the Equipment

Analytics – Equip the Man, Not Man the Equipment | Café de Analytics | Scoop.it
Analysts often presume that the users of the findings and results from their analytics-based studies will immediately understand and appreciate their impressive work. They may be wrong. The analysis may be too complex or is not answering the question the user is seeking. How can analysts focus more on people than the technology they have mastered?

 

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Is the design of Pie fundamentally flawed ? If So, why do people keep using them?

Is the design of Pie fundamentally flawed ? If So, why do people keep using them? | Café de Analytics | Scoop.it

Design consultant Stephen Few who wrote an essay called “Save the Pies for Dessert.” explains his perspective:

 

Why do you dislike pie charts so much?

Pie charts are very popular, but it’s rare that a pie chart does the job better than a bar chart.

 

So, it’s fundamentally flawed?

When looking at parts of a whole, the primary task is to rank them to see the relative performance of the parts. That can’t be done easily when relying on angles formed by a slice.

 

How come?

Our eyes just don’t do that task well.

 

So why do people keep using them?

I think there’s a basic appeal to the shape of a circle — a gut-level visual appeal.

 

Cartoon Courtesy - Anderson Cartoons

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Analytics doesn't have to be a whip !

Analytics doesn't have to be a whip ! | Café de Analytics | Scoop.it

Analytics does not have to be a whip used to increase the stroke count associated with extracting more from individuals.  Rather, it can provide the opportunity to build a more effective, empowered and engaged workforce that increases the value of the larger organization.

 

For some, analytics is often thought of as a cold, heartless way to manage a workforce — a Tayloristic approach to reducing individuals to cells on a spreadsheet.  However, we argue that companies can use workforce analytics to make more justifiable decisions and prevent arbitrary actions that can have a negative impact on individuals.

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Is Prediction and Forecast The Same ?

Is Prediction and Forecast The Same ? | Café de Analytics | Scoop.it

Forecasting and predictive analytics seem to be very similar…but are they?

 

A common problem in business today is people spend much more time preparing and presenting information than they do actually determining what the data is telling them about their business. This is because they don’t have the right resources and tools in place.

 

Both, predictive analytics and forecasting, use data to achieve their purposes. But, it’s how they use that data is much different.

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Behavior Analytics: New Weapon To Fight Hackers

Behavior Analytics: New Weapon To Fight Hackers | Café de Analytics | Scoop.it

Israeli startup Cybereason says it breaks new security ground by spotting deviations in employee behavior and telling companies what to do next.

 

Co-founder Lior Div, a former cybercrime expert in the Israeli intelligence agency, says it uses new algorithms to fight what it calls "malops" -- malicious operations perpetrated by hackers who break into a company's network.

 

 

 

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Venkat Raman's comment, March 11, 2014 12:47 AM
Join the interesting debate with your insights @Big Data and Analytics LinkedIn Group
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How Predictive Analytics Successfully Predicted The Oscar 2014 Winners ?

How Predictive Analytics Successfully Predicted The Oscar 2014 Winners ? | Café de Analytics | Scoop.it

We hate to toot our own horn, but here goes: we almost correctly picked winners in big Oscar categories this year.

 

We did it using a complex predictive model. Last year also the model worked perfectly. These are the specific types of data that populate our statistical models.

 

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Venkat Raman's comment, March 7, 2014 2:40 PM
Hari Prasad like this @LinkedIn Business Analytics Group
Venkat Raman's comment, March 7, 2014 2:41 PM
Linda Burch wrote "Fascinating stuff, thanks for sharing! " @LinkedIn Business Analytics group
Venkat Raman's comment, March 7, 2014 2:53 PM
Shruti Desai wrote " The prediction comes from most complex choice of data!! " @LinkedIn Global Analytics Network
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Manage the uncertainty in Business Analytics

Manage the uncertainty in Business Analytics | Café de Analytics | Scoop.it

Predictive analytics is largely about the management of uncertainty; that management can also be applied to the analytics process itself.

 

Uncertainty is expensive, and the management of that uncertainty makes good economic sense.

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Venkat Raman's comment, February 26, 2014 4:16 AM
You can join the debate on this post @http://lnkd.in/bWFECax
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Germans Eye FIFA World Cup With Big Data Analytics

Germans Eye FIFA World Cup With Big Data Analytics | Café de Analytics | Scoop.it

See how German Football Association (DFB) bets on SAP's big data analytics solution to improve player and team performance at the FIFA World Cup 2014.

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Doggie Analytics !

Doggie Analytics ! | Café de Analytics | Scoop.it

The Whistle Activity Monitor is a new device for your dogs collar to ensure the strength of that relationship by helping measure your pet’s activity. Providing long-term health trend analytics and details on day-to-day behaviors. This device details your dogs activity so you and your vet can make smarter choices when discussing long-term health options for your pet.

Venkat Raman's insight:

Its amazing to see how analytics is used to improve our daily lives and giving a new dimension to the whole thing.

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Is poor Data Analytics reason for GM recall debacle ?

Is poor Data Analytics reason for GM recall debacle ? | Café de Analytics | Scoop.it

Twelve deaths and 31 crashes have thus far been linked to the ignition defect for which it received over 250 complaints along with millions of complaints per year from car dealers and direct from customers. Unfortunately for General Motors, finding such a needle in a haystack is its responsibility. Despite having invested in “a number of tools and techniques to gather and analyze data [to] look for trends that warrant a vehicle safety investigation and possibly a recall,” as General Motors said in a statement, the car manufacturer failed to identify the severity of the ignition defect until just last month.

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Toner Babovac's curator insight, June 19, 2014 8:02 AM

How do you find the needle in the haystack? You need to have a thorough Big Data strategy that is well orchestrated.

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Your Morning OJ Is The Result Of A Complicated Algorithm Designed For Maximum Tastiness

Your Morning OJ Is The Result Of A Complicated Algorithm Designed For Maximum Tastiness | Café de Analytics | Scoop.it

Our minds were fairly boggled while digging behind-the-scenes glimpse at Coca-Cola’s orange juice operations. Because Mother Nature isn’t inclined to churn out orange groves full of the exact right fruits for juicing, the ones that will result in a consistent product year-round, Coca-Cola has found a workaround to get nature to work to its advantage.

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Analytics 3.0 – The Emerging Data Economy

Analytics 3.0 – The Emerging Data Economy | Café de Analytics | Scoop.it
In recent times, the big Internet companies – the Googles, Yahoos and eBays – have proven that it is possible to build a sustainable business on data analytics, in which corporate decisions and actions are being seamlessly guided via an analytics culture, based on data, measurement and quantifiable results. Now, the top data analytics thinkers say we are reaching a point that non-tech, non-Internet companies are on their way to becoming analytics-driven organizations in a similar vein, as part of an emerging data economy.
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A Natural Approach to Analytics

A Natural Approach to Analytics | Café de Analytics | Scoop.it

Should we forget our business users who have real domain knowledge. No, they are natural experts in understanding complex problems. If only we could provide a software experience to complement and extend their innate skills.

 

Can we make complex data comprehensible? Can we supplement our intuitive sense-making?

I believe we can, with an approach that I call “Natural Analytics,” comprising technologies, experiences and services designed to work with our natural critical skills rather than against them.

 

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Surveys Generate Data But Don’t Necessarily Replace Hard Data

Surveys Generate Data But Don’t Necessarily Replace Hard Data | Café de Analytics | Scoop.it

Surveys Generate Data But Don’t Necessarily Replace Hard Data. Surveys, questionnaires, and polls generate data, but survey data and hard data aren’t the same thing. We often see them treated in the same light in the context of answering business questions or delivering actionable insight, and with equal zeal and qualification. But there are definite differences.

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Striking a Balance Between Quantitative & Qualitative Exploration

Striking a Balance Between Quantitative & Qualitative Exploration | Café de Analytics | Scoop.it
Discovering meaningful patterns in a messy problem domain is what the best data scientists do exceptionally well. But it’s not without risk. In the best of all possible worlds, mixed data-science methods—balancing quantitative and qualitative approaches—would be the way to go.
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How Analytics is Aiding Search for MH370 ?

How Analytics is Aiding Search for MH370 ? | Café de Analytics | Scoop.it

 

 

DigitalGlobe and Adaptive are currently operating a space imagery and geospatial content search for Flight 370, which was, as of today, still missing after disappearing from the world's radar screens on March 9. Anybody can join in the search by going to this site. You will need to enter your email address to participate.

 

DigitalGlobe already has archives that contain more than 4.5 billion square kilometers of global coverage. With that much global coverage, it was a no-brainer for it to use the Tomnod platform so that good Samaritans can help find Flight 370 using satellite imagery.

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Venkat Raman's comment, March 24, 2014 4:10 PM
DigitalGlobe has provided imagery to search officials in Australia, and it has been informed by an Australian government official that it was it's imagery Prime Minister Abbott referred to in his recent comments," a spokesman for the company said. - <http://abcnews.go.com/US/colorados-digitalglobe-found-objects-malaysia-airlines-search/story?id=22988405>;
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What Oscar Taught Us : Data Science and Media & Entertainment

What Oscar Taught Us : Data Science and Media & Entertainment | Café de Analytics | Scoop.it

Farsite Group, a data science firm based in Columbus, Ohio, launched a highly visible campaign in early 2013 to use predictive analytics to forecast the winners of the 85th Annual Academy Awards. The initiative was fun and exciting for the millions of Oscar viewers, but it also illustrated how data science could be further deployed in the media and entertainment industries.

 

This article explores the current and potential use cases for big data and predictive analytics in those industries. It further discusses how the Farsite Forecast was built, as well as how the model was iterated, how the projections performed, and what lessons were learned in the process.

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Analytics and Belief: The Struggle for Truth

Analytics and Belief: The Struggle for Truth | Café de Analytics | Scoop.it
Adopting analytics culture brings an organization a step further to connecting analytics insight to high-quality decisions. For the union to be feasible, analytics culture must understand how ‘belief’ concerning the insight gained from analytics is secured in the organization.
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Venkat Raman's comment, March 7, 2014 2:34 PM
Vishal Khandelwal likes this @LinkedIn Global Analytics Network
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You don’t need an algorithm to predict the outcome if you make these mistakes..

You don’t need an algorithm to predict the outcome if you make these mistakes.. | Café de Analytics | Scoop.it

“The vast majority of analytic projects are riddled with mistakes,” says John Elder, CEO at Elder Research. If you think predictive analytics is too difficult, don’t be afraid.

 

Abbott says “You make mistakes along the way, you learn and you adjust,” he says. It’s worth the effort, he adds. “These algorithms look at data in ways humans can’t and help to focus decision making in ways the business wouldn’t be able to do otherwise.”

 

“It’s really hard to do this right. But there’s a lot more that people can get out of their data. And if you follow a few simple principles you can do well.” says Elder.

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Venkat Raman's comment, March 7, 2014 2:43 PM
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Where the elegance of Analytics lies ?

Where the elegance of Analytics lies ? | Café de Analytics | Scoop.it
The elegance of analytics lies, at times in its inelegance. Analytics can validate and at points of divergence offer unique insights. Overlapping solutions can argue and agree with each other. We can feel conflicted with one analytic, but analytical pluralism is a representative democracy that functions by competition among parties who all believe they know a way to solve the problem.
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