Analytics and HR
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Trimming the stupid from management plans

Trimming the stupid from management plans | Analytics and HR | Scoop.it
Companies across this great land regularly implement policies that leaders claim will "foster greater collaboration" or "build synergy" or "incentivize innovation."
Lizabeth Kleintop's insight:

It is about data.  Create your metrics when you develop your plan, measure, and assess!  It isn't rocket science.  Or, big data, for that matter.

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Big Data's Promise : Messy, Like Us

Big Data's Promise : Messy, Like Us | Analytics and HR | Scoop.it
Big Data is evolving so fast that it's not yet clear where it offers real insight and where it's a costly distraction.
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Healthcare and big data: Don't toss out the rules of the road

Healthcare and big data:  Don't toss out the rules of the road | Analytics and HR | Scoop.it
With the promise of big data (solving the unsolvable problems, informing better decision making, creating new products and services, discovering patterns and acting on them, etc.) on the horizon, what has really changed?
Lizabeth Kleintop's insight:

Ongoing discussion in class, what to do with all the data!

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Big Data May Be A Pretty Small Problem

Big Data May Be A Pretty Small Problem | Analytics and HR | Scoop.it
Data analysis is all the rage, but there is currently a strong debate on how big a data set a business actually needs and how much they need to spend to get that data.
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Most data isn’t “big,” and businesses are wasting money pretending it is

Most data isn’t “big,” and businesses are wasting money pretending it is | Analytics and HR | Scoop.it
Big data! If you don't have it, you better get yourself some. Your competition has it, after all. Bottom line: If your data is little, your rivals are going to kick sand in your face and steal your girlfriend.
Lizabeth Kleintop's insight:

We come back to methodology -- planning the study of a defined problem rather than just dumping the data into SPSS and hoping for the best!  Context is important in understanding what correlations mean; some do not mean a thing!

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Reimagining the Possible with Data Analytics? Some Answers to Your Questions | MIT Sloan Management Review

Reimagining the Possible with Data Analytics? Some Answers to Your Questions | MIT Sloan Management Review | Analytics and HR | Scoop.it
During our webinar, we described those characteristics that define each group, and what your organization can do to become more like Analytical Innovators.
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7 Ways for Businesses to Get Disciplined with Data

7 Ways for Businesses to Get Disciplined with Data | Analytics and HR | Scoop.it
The HR Hero Executive Briefing from iCIMS discussed creating processes that gave much needed data in a timely manner. Technology gives 7 solutions.
Lizabeth Kleintop's insight:

Solid, time tested recommendations here.

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Are You Ready for Some Analytics 3.0? | Trends and Outliers

Are You Ready for Some Analytics 3.0? | Trends and Outliers | Analytics and HR | Scoop.it
Get ready for Analytics 3.0: it combines large, small volumes of data; internal, external sources; structured, unstructured data to support business decisions.
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Corporations Are Starting to Socialize Their Data

Corporations Are Starting to Socialize Their Data | Analytics and HR | Scoop.it
Companies that once jealously guarded information are now concluding that releasing it to the market is the best way to realize its full value.
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Learning analytics at Stanford takes huge leap forward with MOOCs

Learning analytics at Stanford takes huge leap forward with MOOCs | Analytics and HR | Scoop.it
Stanford's Lytics Lab gathers data from massive open online courses to learn more about how we learn. The group studies student behavior to measure interaction and performance.

Via Dr. Susan Bainbridge
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Marci Segal, MS's comment, April 13, 2013 10:56 AM
Good to have a peek inside - thanks!
Marci Segal, MS's curator insight, April 13, 2013 10:57 AM

Good to have a peek inside what's going on, eh?  Ready to take the plunge?

Daniel Tan's curator insight, July 4, 2014 9:42 PM

The greatest contribution of  MOOCs to education will not be the  demographic  and geograhic reach it claims to provide, but the disruption it creates on the limitations and previous beliefs of the instructivist pedagogy model. Data and learning analytics will document how the student, and more specifically,  how the brain learns.  The truism that "(s)he who speaks the most learn the most" will be based on data Collected and analyzed.  For now, we content that in teaching a class, that teacher has  learned the most. :)

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Analytics is Transforming Customer Service: Should We Worry? | MIT Sloan Management Review

Analytics is Transforming Customer Service: Should We Worry? | MIT Sloan Management Review | Analytics and HR | Scoop.it
Customer service and…cognitive computing? Really?
Lizabeth Kleintop's insight:

Should we be giving our customers access to their data?

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Big Data's Human Error Problem

Big Data's Human Error Problem | Analytics and HR | Scoop.it
We humans are our own worst enemies in the quest for better data quality, says one expert. Think false memory syndrome, typos, slips of the tongue and confirmation bias.
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How Many Turns in a Screw? Ask Big Data

How Many Turns in a Screw? Ask Big Data | Analytics and HR | Scoop.it
Companies' collecting and crunching of large amounts of information, so-called Big Data, is becoming a means of measuring million of little things in factories to achieve quality and efficiency gains.
Lizabeth Kleintop's insight:

Scientific management takes another step!

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MONEYBALL AT WORK: They've Discovered What Really Makes A Great Employee

MONEYBALL AT WORK: They've Discovered What Really Makes A Great Employee | Analytics and HR | Scoop.it
Beyond the résumé.
Lizabeth Kleintop's insight:

Not your grandparents' recruiting methods, anymore!

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Solving Equation of a Hit Film Script, With Data

Solving Equation of a Hit Film Script, With Data | Analytics and HR | Scoop.it
For as much as $20,000, Worldwide Motion Picture Group compares the story structure and genre of a script with those of released movies, looking for clues to box-office success.
Lizabeth Kleintop's insight:

Is this anyway to write a good movie script?  Or, just a best selling movie script?

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Predicting the Performance of Analytics Talent | MIT Sloan Management Review

Predicting the Performance of Analytics Talent | MIT Sloan Management Review | Analytics and HR | Scoop.it
How to hire the right talent to overcome big data project failures.
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NetAppVoice: The End Of Judgment? Big-Data Analytics Still Needs People.

NetAppVoice: The End Of Judgment? Big-Data Analytics Still Needs People. | Analytics and HR | Scoop.it
Data scientists: Modern-day knowledge prospectors, panning for insight. How do we accelerate tomorrow’s business? How can tomorrow’s businesses mine data more effectively? How does relying on data get better results than judgment alone?
Lizabeth Kleintop's insight:

Correlation is not causation.  This is often forgotten in the business analytics discussions.  Business analytics is about prediction which, to me at least, suggests some understanding of the causal relationships among variables.  I was taught not to dump a bunch of variables into a regression to see what happens.  I've frequently read analytics articles which are more focused on correlation than causation.  Yes, there may be an accurate prediction there.  But if it is based only in correlation, a future change in  data not related in a causal relationship with the dependent variable will give you an incorrect prediction!

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Economist Survey Shows Training, Skills Building and Executive Leadership are Key to Unlocking Big Data

Economist Survey Shows Training, Skills Building and Executive Leadership are Key to Unlocking Big Data | Analytics and HR | Scoop.it
What are the characteristics of a data-driven business? A new global survey by the Economist Intelligence Unit, sponsored by Tableau Software, of more than 500 C-level and senior business executives sought to examine exactly that..
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To Work with Data, You Need a Lab and a Factory

To Work with Data, You Need a Lab and a Factory | Analytics and HR | Scoop.it
Take a tip from the Industrial Age for your data efforts.
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act - Occam's Razor by Avinash Kaushik

The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act - Occam's Razor by Avinash Kaushik | Analytics and HR | Scoop.it
Companies, small or large, fail to iterate fast enough leading to poor business results. Lean Analytics Cycle is a structured process to avoid that fate!
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How HR Can Implement Big Data — in Six Baby Steps

How HR Can Implement Big Data — in Six Baby Steps | Analytics and HR | Scoop.it
While some companies are leaping into Big Data with a vengeance, others are shying away from Big Data altogether. The term “Big Data” alone scares off the weak-hearted HR executive who …
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