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Optimizing Atlanta’s 911 Systems with Data Science | Data-Smart City Solutions

See on Scoop.it - Data Nerd’s Corner

Two guest authors reflect on Data Science for Social Good - Atlanta, which has been working on supercharging analytics from the city’s 911 Emergency Center Data.

Carla Gentry CSPO's insight:

he project’s initial concept was formed during a brainstorming session with several members of the broader Atlanta community and finalized between the Focus of Results Atlanta (FOR Atlanta) team in the Mayor’s office and the Atlanta 911 Center leadership.  The overall goals of the project were to:

Identify opportunities to reduce dispatch timeIdentify opportunities to more efficiently manage human capitalCreate a decision-making tool for Atlanta 911 Center leadership

See on datasmart.ash.harvard.edu

When Is Big Data Analytics A Waste Of Time?

See on Scoop.it - Data Nerd’s Corner

Industry analysts have predicted that there will be somewhere between 26 and 30 billion Internet of Things (IoT) devices by the year 2020. From personally wearable Fitbit-style activity trackers to electronically empowered fridges, toasters and front door bells… right through to industrial turbine sensors and all manner of corporate monitoring […]

Carla Gentry CSPO's insight:

So at what point is big data analytics a waste of time? When not even a German football coach can precision-engineer another goal’s worth of incremental value out of it is the answer.


See on forbes.com

Grocery shoppers embracing mobile technology - Essential Retail

See on Scoop.it - Data Nerd’s Corner

Online search volumes for via smartphones for UK grocers almost doubled in the second quarter of the year, compared to the same period in 2013.

Carla Gentry CSPO's insight:

The number of online searches for grocery terms on tablet devices were reportedly up 28% compared to the same period in 2013, suggesting British consumers are embracing all forms of mobile technology during their shopping trips.


See on essentialretail.com

Dollar Tree to acquire Family Dollar

See on Scoop.it - Data Nerd’s Corner

Dollar Tree announced it would acquire Family Dollar. The merger between the two leading discount retailers is expected to close by the end of the year.

Carla Gentry CSPO's insight:

Sasser predicts the merger will allow for a broader assortment of merchandise, which in turn will attract a wider array of customers.


See on fierceretail.com

Dark Social: We Have the Whole History of the Web Wrong

See on Scoop.it - Data Nerd’s Corner

The biggest chunk of social traffic to websites comes from outside the official social networks like Facebook and Twitter.

Carla Gentry CSPO's insight:

If what I’m saying is true, then the tradeoffs we make on social networks is not the one that we’re told we’re making. We’re not giving our personal data in exchange for the ability to share links with friends. Massive numbers of people — a larger set than exists on any social network — already do that outside the social networks. Rather, we’re exchanging our personal data in exchange for the ability to publish and archive a record of our sharing. That may be a transaction you want to make, but it might not be the one you’ve been told you made.


See on theatlantic.com

Behind The Rise of the Chief Data Officer

See on Scoop.it - Data Nerd’s Corner

CDOs will become universal as organizations realize that big data is too specialized and too much of a responsibility for the CIO or CTO.

Carla Gentry CSPO's insight:

International Data Corporation (IDC) reports that the digital universe will grow 300-fold between 2005 and 2020 to a total of 40 trillion gigabytes. Yet, according to IDC, only one percent of this data is currently being analyzed. That gap is the opportunity. Companies capable of gathering, structuring, analyzing and using that data stand to gain a competitive edge in their respective marketplaces.


See on information-management.com

Big Data Needs a Thought Collective | SYS-CON MEDIA

See on Scoop.it - Data Nerd’s Corner

SYS-CON Media, NJ, The world’s leading i-technology media company on breaking technology news.

Carla Gentry CSPO's insight:

Big Data should follow the lead of the scientific method (which was influenced by Fleck’s ideas) to put greater emphasis on sharing and reusing data. Why is that important for businesses? Scientific data is easy to share among different organizations. Having the ability to do the same with data science could solve what’s emerging as a major pain point. Employees change roles and organizations, but what happens to the knowledge, experiments, and patterns?


See on sys-con.com

Differences between econometrics and statistics: From varying treatment effects to utilities, economists seem to like models that are fixed in stone, while statisticians tend to be more comfortable…

See on Scoop.it - Data Nerd’s Corner

I had an interesting discussion with Peter Dorman (whose work on assessing the value of a life we discussed in this space a few years ago). The conversation started when Peter wrote me about his recent success using hierarchical modeling for risk analysis. He wrote, “Where have they [hierarchical models] been all my life? In …

Carla Gentry CSPO's insight:

I’ve been mulling the question about economists’ obsession with average effects and posted this on EconoSpeak. I could have said much more but decided to save it for another day. In particular, while the issue of representative agents has come up in the context of macroeconomic models, I wonder how many noneconomists — and even how many economists — are aware that the same approach is used more or less universally in applied micro. The “model” portion of a typical micro paper has an optimization model for a single agent or perhaps a very small number of interacting agents, and the properties of the model are used to justify the empirical specification. This predisposes economists to look for a single effect that variations in one factor have on variations in another. But the deeper question is why these models are so appealing to economists but less attractive (yes?) to researchers in other disciplines.


See on andrewgelman.com

I am not an econometrician | Javalobby

See on Scoop.it - Data Nerd’s Corner


Carla Gentry CSPO's insight:

As a result of this dis­tinc­tion, econo­me­tri­cians do a lot of hypoth­e­sis test­ing but pro­duce few graph­ics. Many research sem­i­nars in our depart­ment involve some­one describ­ing a model, apply­ing it to some data, and show­ing the esti­mated para­me­ters, stan­dard errors, results of var­i­ous hypoth­e­sis tests, etc. They do all that with­out ever plot­ting the data to start with! This seems bizarre to me, and I still get annoyed about it even though I’ve seen it at least a hun­dred times. I teach my stu­dents to first spend time get­ting to know their data through plots and other data visu­al­iza­tion meth­ods before even think­ing about fit­ting a model or doing a hypoth­e­sis test.


See on java.dzone.com

How to find — and hire — data scientists

See on Scoop.it - Data Nerd’s Corner

Data might just be the new driver of business success. Airbnb uses data to match lodging and travelers. Netflix uses data to personalize your entertainment. Amazon uses data to sell you more stuff….

Carla Gentry CSPO's insight:

But data doesn’t reveal its secrets easily — or cheaply. Hence the exploding role of data scientist, which has grown from practically nothing to a major hiring focus, with stunning growth over the last three years at job site Indeed.com of thousands of percent. And the cost of hiring a data scientist, which is up to $150,000/year.


See on venturebeat.com