When efficiency, algorithms, and labor laws collide

Timeclock Wikipedia Commons

Flexibility is considered a virtue and an essential component an agile organization which can respond to changing needs in real-time. However, when that type of flexibility comes at the expense of employees, the company may not only be crossing the line of ethics but of law.

On April 10, New York Attorney General Eric Schneiderman directed his office to send a letter (posted by the Wall Street Journal) to 13 major retailers.  What Gap Inc., Abercrombie & Fitch, J. Crew Group Inc., L. Brands, Burlington Coat Factory, TJX Companies, Urban Outfitters, Target Corp., Sears Holding Corp., Williams Sonoma Inc., Crocs, Ann Inc. and J.C. Penney Co. Inc were all asked were to account for questionable scheduling practices known as “on-call” shifts.

Read more in 

The Legal Limits for On-Call Shifts

Big data alone is not enough for an agile enterprise

Ever get a promotional email or ad that has no relevance to you? We all have, and it’s usually due to the marketing algorithms used to analyze big data inputs responding incorrectly to the wrong signal. For example, eBay started applying algorithms to the tags used to track customers in 2007 to measure the relevance of search results on its site. After a couple of years of success, the results became less accurate and seemed more random and arbitrary. The algorithms no longer worked because one of the tags had shifted. Events like that one resulted in customers seeing search results or receiving marketing emails that made no sense to them.

“The algorithm is not a human brain and doesn’t realize that the parameters have changed when tags change,” Ratzesberger observed. If a change is made to a variable, everything “downstream” from that variable must change, too, or the complex results can backfire.

The solution to this entire problem of achieving agility at scale is the Sentient Enterprise, a concept that Ratzesberger developed with Dr. Mohan Sawhney, a professor at Kellogg School of Management at Northwestern University. 

Read more here

The app that's a breath of fresh air

“We live in a personal, real time, location based world,” declares BreezoMeter. That reality of today’s mobile world is the heart of the app’s design. Combining big data, algorithms and mobile technology, it delivers specific air quality information and recommendations in real time. Today’s mobile consumers demand no less.

“The highest growth in coming years is likely in segment-level and real-time personalization,” according to a recent report, entitled “Enterprise Priorities in Digital Marketing” (PDF). People who carry mobile devices expect access to “services and content for the moment and in the moment.” That’s what BreezoMeter’s air quality app aims to deliver.

Like many other innovations, BreezoMeter was born out of frustration. Its CEO, Ran Korber, was frustrated by the lack of centralized air quality information available when he was seeking a place clear of air pollution for his new home in Israel. As an environmental engineer with a pregnant wife, he was particularly concerned about the air quality. Finding nothing on the market provided all the answer he sought, he created his own solution.

The app proved successful in Israel where 300 sensors sufficed to cover the most populated areas of an area roughly the size of New Jersey. Scaling up to cover an area hundreds of time bigger was a challenge for the startup. 

Read more in http://insideanalysis.com/2015/04/the-app-thats-a-breath-of-fresh-air/

Twitter analytics

Twitter just offered me an analysis of my followers. I've checked out a number of data visualization apps for Twitter in the past, and those took much longer to process the data. As this is form Twitter, it already has the data and gave very fast results. I found it interesting that the majority of my followers are male, 69% in fact. I'm not certain if that's a reflection of general gender representation on Twitter or of the fields of interests connected to my account.

I got this :

38% Marketing

38% Entrepreneurship

30% Leadership

30% Startups

18% SEO


Top interests?


47% Tech news

47% Technology

47% Politics and current events

41% Business and news

41%Business news and general info

38% Marketing

38% Entrepreneurship

32%Business and finance

30% Leadership

30% Startups


I'm not surprised as my top city is NY at 12%.


Of course, Twitter is offering this as a way to interest me in Twitter ads, but there are no strings attached in checking out the stats. Another service you can use for Twitter information Quillconnect.narrativescience. Its particular spin on data reporting is storifying your account and letting you know how your posts compare with those of your connections on average. It also offers some advice to gain engagement, though I chose to ignroe it, as I am not going to go out of my way to tweet about television. I think it actually mistakes the tweets about biased media reports to be tweets about television, as I don't really discuss programming otherwise.
Related posts: http://writewaypro.blogspot.com/2015/02/ignore-this-piece-of-advice.html

Twitter Analytics Puts Cards on the Table

Device to diminish driving while drowsy or distracted

Like the directive to buy low and sell high to make money in the stock market, the principle of keeping your eyes on the road to be safe when driving sounds simple but remains elusive. With countless distractions and our own tendency to drive while sleep deprived, many of us fail to give driving the full attention it deserves.

Fortunately, analytics technology offers a solution to alert drivers when their attention wanders. Read more in 

Realtime Data Targets Drowsy & Distracted Driving

Data for doctors: should there be limits on it?

This summer, Carolinas HealthCare System made the news rounds as a warning of the new levels of data mining available to healthcare companies. In Hospitals Are Mining Patients' Credit Card Data to Predict Who Will Get Sick, we get a very Big Brother type of picture of the invasiveness of such data mining with an illustrative picture showing a doctor saying, “Don’t lie to me, Susan, I know about the 2 a.m. Papa John’s deliveries.”

 It makes for dramatic copy, but it’s still in the realm of fiction rather than fact, as I found our when  I contacted Carolinas HealthCare and got a response from Jason Schneider, Director, Clinical PR. He explained that the article “focused on how providers could use data for in the future and didn't include details what data we are currently using and how we are using it.”

The data they are currently using does not follow an individual’s consumer trail but looks at things like socio-economic circles, neighborhood limitations, and cultural affiliation that could shape one’s access to healthcare. One example of that was identifying why patients in one particular area were not coming in for regular doctor’s visits. It turned out that it didn’t have reliable public transportation to a doctor's office. After identifying the geographic problem, Carolinas HealthCare set up a doctor in the neighborhood itself.

As the person quoted in each of the articles on Carolinas use of data is Dr.  Michael Dulin, chief clinical officer for analytics and outcomes research at Carolinas, I contacted him and spoke with him on the phone. He explained that Carolinas has a decade of experience in using data to improve healthcare by identifying individuals within contexts that could pose obstacles to care.

Read more in 

More Info in the Name of Better Healthcare

RX for Prescription Errors: Big Data Analytics

We’re all familiar with the stereotype of the doctor with bad handwriting whose prescriptions are all but illegible. While the use of electronic medical records (EMR) eliminates that chicken-scratch problem, it unfortunately doesn't fix other, often fatal, errors.

(Source: Carbon Arc)

In fact, EMR's introduction has made “new and alarming types of errors that didn't exist in manual records” creep up, says Dr. Gidi Stein, co-founder and CEO of MedAware, a startup using big-data analytics to combat the problem of prescription errors. Automatic selections are faster and neater than individual writing, but they also make it possible for doctors to put in errors they wouldn't have made on their own.

As reported in "Medical Errors: a Report by the Staff of U.S. Senator Barbara Boxer" (available in PDF format), prescription errors account for many of the 210,000 to 440,000 deaths in America each year that result from "medical errors and other preventable harm at hospitals.” 

read more in 

Analytics Startup Prescribes Fix for RX Errors

Big Data Analytics for Better Results in College and Job Recruitment

Students are not the only ones who go back to school. We can all come back to learn about ways to direct our efforts more productively. Predictive analytics can show the way. Whether applied to university recruitment or corporate hiring, whatbig data reveals can show us that our assumptions about what works are leading us in the wrong direction. 
Read more in 

Back to School With Big Data Analytics

Happiness is a blue blanket

For many of us, the words happiness and blanket together inevitably bring to mind images of the "Peanuts" character Linus clutching his favorite comfort object. Perhaps because the comic strip is an American creation, British Airways didn’t make the connection when it created its “Happiness Blanket.”
Read more here

Biometrics for voice to prevent fraud and save time on calls

The eyes may be the windows to the soul, but people's voices are what belie their emotional states and even identities. For businesses, that type of insight can help authenticate callers and prevent fraud. Making it work in real-time allows businesses to save time on calls without compromising security. Read more in 

Detecting Fraud With Voice Analytics

Analytics that improve your game

Got game? Analytics can help you get it, whether your sport is tennis, golf, or baseball. The trick is tracking your swing. Read more here. 

A soft sell for sensors

Wearables go where no devices have gone before when designed to fit wherever one wants them on  the body.  Fitting the device to the body, rather than the body to the device: that’s what defines the technology developed by MC10.  This privately held company partners with well-known brands, like Reebok, to bring its technology into the consumer space.  I spoke with Elyse Winer, Manager of Marketing & Communications at MC10 about the company’s innovative products. Read about it in  A Soft Sell for Sensors

When seconds can mean the difference between life and death

MARVLIS presents geographic and EMS call data plotted on a map

Though we tend to equate being predictable with being boring, in the case of optimizing emergency response, it is actually a virtue.

n emergency situations, response time can make the difference between life and death. 

Since it deployed the Mobile Area Routing and Vehicle Location Information System (MARVLIS) in 2008, Jersey City Medical Center EMS says it has better-than-average response times and markedly improved survival rates. MARVLIS combines geographic information system technology, wireless communications, and a global positioning system to produce real-time information that enables emergency response teams to get to their destinations faster.

Read more in

Analytics Speed Up Response Times for EMS

How am I tweeting?

NewTwitterAnalytics  offers answers. Almost every business has a Twitter account, but many fail to take full advantage of Twitter's many add-on tools. What's holding them back?
Perhaps it's just a matter of not knowing how to measure their impact and figure out how the tools contribute to their goals. Twitter solves that problem with its new Analytics for Twitter Cards service.  Read more in

Twitter Analytics Puts Cards on the Table

Oh the places you'll go and the stories your can can tell about htem

The main problem with the current state of in-car, location-based services is that they aren't required to notify consumers. It's possible that some motorists are completely unaware of who uses their location data, and how. Also, for four out of the six automakers, customers do not have the option to request that their historical data be erased. (The "right to be forgotten" is included in the EU’s data protection laws and recommended by the GAO.) Read more in 

In-Car Tracking: We Know Where You've Been

Students on camera -- not for security

We have technology that can use cCameras in Class: Insight vs. Privacy

ameras in the classroom for analysis of lessons. What do you think? Learn more about the concept of  EngageSense in

The face of analytics is yours

Do personalized offers make you smile? Or do you value privacy over customized shopping experiences? Read about the facial recognition technology at work to sell you more stuff in

Putting a Face on Retail Analytics

Your email organized

Imagine coming into your office and finding all your files rearranged for better organization. You get a note saying: “You’ll now find your important files here, your social media files here, and your promotions over there.”

That’s just about what Gmail did with inboxes a few weeks back. While I don’t really mind having my email organized according to the Gmail system, Google's ability to make the change really drove home the point to me that email metadata is open for use.
Read more in Learning About You From Your Email Metadata.

Pictured here is an example of the raw metadata sent to me by the Immersion team at MIT.

Big data for dogs of all sizes

Devoted as people are to their dogs, they can’t watch them every minute of the day. But now there are devices that do for dogs what Fitbit does for people. Some have launched, and some are still working on funding through Kickstarter.  Read more in 

The Quantified Canine

Promotions on the spot

Serendipity at the supermarket occurs when you spot your favorite cereal and have the coupon in hand. More likely, though, you have to hunt for your coupon, only to discover that it expired last week. At that point, you can either pay up or settle for the cheaper generic -- unless, that is, you're able to get a coupon on demand.

This third option, available at some stores by a company called VisibleBrands, is one made possible by analytics.  Read more in 

'Clipping' Coupons as You Need 'Em