Data Nerd's Corner
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Data Nerd's Corner
Everything you wanted to know about predictive analytics
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Who doesn't want a secure open-source environment for uber-fast big data deployment? Meet TAP

Who doesn't want a secure open-source environment for uber-fast big data deployment? Meet TAP | Data Nerd's Corner | Scoop.it
Issues that (still) keep us from greatness
According to Martin Hall, the 3 common handicaps to big data initiatives are:
Carla Gentry CSPO's insight:
Issues that (still) keep us from greatness According to Martin Hall, the 3 common handicaps to big data initiatives are:
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Corporate HR: Removing Performance Ratings is Unlikely to Improve Performance | CEB Blogs

Corporate HR: Removing Performance Ratings is Unlikely to Improve Performance | CEB Blogs | Data Nerd's Corner | Scoop.it
At most companies, employee performance drops by around 10% when ratings are removed because of breakdowns in managers' ability to manage and a fall in employee engagement
Carla Gentry CSPO's insight:
NIce read!
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This employee badge knows not only where you are, who you are talking to

This employee badge knows not only where you are, who you are talking to | Data Nerd's Corner | Scoop.it
This employee badge knows not only where you are, who you are talking to
Carla Gentry CSPO's insight:
Big Brother?
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HR Technology Is Helping to Change the Entire Work Culture

HR Technology Is Helping to Change the Entire Work Culture | Data Nerd's Corner | Scoop.it
Recognize This! – Trends in HR for the year ahead will emphasize empowerment, the employee experience, and ultimately a more human workplace. What will some of the big themes be for HR leaders in the year ahead and how can we begin preparing for them? For some answers, I attended a session at

Via David Green
Carla Gentry CSPO's insight:
Not your Father's HR
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Four For Friday: Predictive Analytics in HR

Four For Friday: Predictive Analytics in HR | Data Nerd's Corner | Scoop.it
“Having workforce analytics be a part of a Nobel Prize in Economics, from prestigious academic organizations like MIT and Harvard shows the continued momentum and growth in this space”, says Greta Roberts Roberts, CEO of Talent Analytics, Corp. In what is surely a huge step forward for HR and Workforce analytics adoption, the Talent Analytics blog takes a closer look at this big news!
Carla Gentry CSPO's insight:
“Having workforce analytics be a part of a Nobel Prize in Economics, from prestigious academic organizations like MIT and Harvard shows the continued momentum and growth in this space”, says Greta Roberts Roberts, CEO of Talent Analytics, Corp. In what is surely a huge step forward for HR and Workforce analytics adoption, the Talent Analytics blog takes a closer look at this big news!
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People Analytics: What HR needs to know

People Analytics: What HR needs to know | Data Nerd's Corner | Scoop.it
Human Resources and Workforce Management News

Via David Green
Carla Gentry CSPO's insight:
Not your Father's HR anymore!
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Struggling with staff morale and patient satisfaction? Predictive analytics can help

Struggling with staff morale and patient satisfaction? Predictive analytics can help | Data Nerd's Corner | Scoop.it
Hospitals still not using staffing software are struggling with nurse scheduling which hampers employee morale and, in turn, detracts from patient satisfaction.
Carla Gentry CSPO's insight:
Hospitals still not using staffing software are struggling with nurse scheduling which hampers employee morale and, in turn, detracts from patient satisfaction.
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» Why Talent Analytics?

» Why Talent Analytics? | Data Nerd's Corner | Scoop.it
We target roles where there are hundreds, or thousands of employees in a single role with high turnover
Carla Gentry CSPO's insight:
Great read!!!
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People Analytics in the Era of Big Data

People Analytics in the Era of Big Data | Data Nerd's Corner | Scoop.it
Apply predictive analytics throughout all stages of workforce management People Analytics in the Era of Big Data provides a blueprint for leveraging your talent pool through the use of data analytics. Written by the Global Vice President of Business Intelligence and Predictive Analytics at Monster Worldwide, this book is packed full of actionable insights to help you source, recruit, acquire, engage, retain, promote, and manage the exceptional talent your organization needs. With a unique approach that applies analytics to every stage of the hiring process and the entire workforce planning and management cycle, this informative guide provides the key perspective that brings analytics into HR in a truly useful way. You're already inundated with disparate employee data, so why not mine that data for insights that add value to your organization and strengthen your workforce? This book presents a practical framework for real-world talent analytics, backed by groundbreaking examples of workforce analytics in action across the U.S., Canada, Europe, Asia, and Australia. Leverage predictive analytics throughout the hiring process Utilize analytics techniques for more effective workforce management Learn how people analytics benefits organizations of all sizes in various industries Integrate analytics into HR practices seamlessly and thoroughly Corporate executives need fact-based insights into what will happen with their talent. Who should you hire? Who should you promote? Who are the top or bottom performers, and why? Who is at risk to quit, and why? Analytics can provide these answers, and give you insights based on quantifiable data instead of gut feeling and subjective assessment. People Analytics in the Era of Big Data is the essential guide to optimizing your workforce with the tools already at your disposal.
Carla Gentry CSPO's insight:
Great book if you are interested in HR Analytics, Data Science and or Workforce Predictive Reduction of Churn

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» Case Study: Solving Call Center Employee Attrition

» Case Study: Solving Call Center Employee Attrition | Data Nerd's Corner | Scoop.it
Talent Analytics again advances how predictive analytics delivers real value to businesses and the workforce industry.
Carla Gentry CSPO's insight:
Talent Analytics again advances how predictive analytics delivers real value to businesses and the workforce industry.
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Does Hadoop Need a Reality Check?

Does Hadoop Need a Reality Check? | Data Nerd's Corner | Scoop.it
Hadoop garners a lot of the attention when it comes to big data, to the point where "Hadoop" and "big data" are practically synonymous in many people's min
Carla Gentry CSPO's insight:

Despite the attention it receives, Hadoop is driving little in actual revenues

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The 25 Most Influential Women in Cloud in 2015

The 25 Most Influential Women in Cloud in 2015 | Data Nerd's Corner | Scoop.it
The past two decades have seen a huge surge of women taking on key roles in the world of emerging technology. When we decided to put together this list, we were thrilled to discover dozens of outstanding candidates, and we have picked the top 25 female thought-leaders, champions, and innovators in the field.
Carla Gentry CSPO's insight:

Ms. Gentry is a data scientist and much-followed analyst and writer with deep expertise in the fields of cloud computing and Big Data. She advises Fortune 500 and 100 companies on ways to draw intelligence from data chaos, and frequently speaks to packed rooms of IT professionals at major conferences.

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Uncommon Sense: How to Increase Your Digital Advertising Effectiveness Through 'Reach Efficiency'

Uncommon Sense: How to Increase Your Digital Advertising Effectiveness Through 'Reach Efficiency' | Data Nerd's Corner | Scoop.it
These are all fundamental steps toward effective digital advertising: Your digital ad isn’t worth anything if it’s viewed by a “bot” rather than a human; even if a human is sitting at the screen, your ad has to be viewable to have an impact–“viewability” being defined today as being on screen for at least one second when you click onto the site; and it has to be viewed by the right human.
Carla Gentry CSPO's insight:

There’s room for improvement, of course: The ANA recently published a study showing that advertisers are wasting huge amounts of money through fraudulent digital ad impressions. And, over about 20,000 campaigns, data from our Digital Ad Ratings (formerly called Online Campaign Ratings) shows that, on average, only 59% of digital impressions reached the intended audience.

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Why Big Data Projects Fail and How to Avoid It - insideBIGDATA

Why Big Data Projects Fail and How to Avoid It - insideBIGDATA | Data Nerd's Corner | Scoop.it
Big data analytics enables organizations to leverage the right data to accurately establish trends and predict future outcomes. As every industry seeks the benefits of data-driven intelligence, IDC forecasts an enormous $50 billion spend on big data solutions and services by 2019.
Carla Gentry CSPO's insight:
Data Science and Big data, hand in hand with predictive models 
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Predictive HR and Workforce Analytics

Predictive HR and Workforce Analytics | Data Nerd's Corner | Scoop.it
Today’s business executives are increasingly applying pressure to all aspects of their business (including HR and workforce areas)
Carla Gentry CSPO's insight:
Great course for anyone interested in workforce analytics 
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Don’t trust that algorithm

Don’t trust that algorithm | Data Nerd's Corner | Scoop.it
Cathy O'Neil, Ph.D. '99, talks about her new book "Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy” and the quiet dangers of big data.
Carla Gentry CSPO's insight:
There are some stats it doesn't make sense to look at - even biases the outcome, Cathy O'Neil disscusses
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The New HR Paradigm: Breaking Down Traditional Silos Of Risk And Human Capital | Huffington Post

The New HR Paradigm: Breaking Down Traditional Silos Of Risk And Human Capital | Huffington Post | Data Nerd's Corner | Scoop.it
The New HR Paradigm: Breaking Down Traditional Silos Of Risk And Human Capital
Carla Gentry CSPO's insight:
Interesting read!
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A psychologist explains why 'grit' could be key to your success

A psychologist explains why 'grit' could be key to your success | Data Nerd's Corner | Scoop.it
Your grit score is important because, according to Duckworth, a professor of psychology at the University of Pennsylvania, it strongly influences how far you'll go in life.
Carla Gentry CSPO's insight:
Your grit score is important because, according to Duckworth, a professor of psychology at the University of Pennsylvania, it strongly influences how far you'll go in life.
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How Did Walmart Get Cleaner Stores and Higher Sales? It Paid Its People More

How Did Walmart Get Cleaner Stores and Higher Sales? It Paid Its People More | Data Nerd's Corner | Scoop.it
Can the answer to what ails the global economy be found in the people in blue vests at your neighborhood Walmart?

Via David Green
Carla Gentry CSPO's insight:
Money is a good inspiration, if I feel I am being paid a good wage for my work, I do better work period
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5 crucial questions on people analytics, answered

5 crucial questions on people analytics, answered | Data Nerd's Corner | Scoop.it
77% of executives now consider people analytics a key business priority.
Carla Gentry CSPO's insight:
77% of executives now consider people analytics a key business priority.
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Human Resource Management Meets Predictive Analytics -

Human Resource Management Meets Predictive Analytics - | Data Nerd's Corner | Scoop.it
Where do you see the biggest changes in AI in HR over the next 5 to 10 years?
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Burn the talent churn using Big Data

Burn the talent churn using Big Data | Data Nerd's Corner | Scoop.it
People Analytics in the Era of Big Data: Changing the Way You Attract, Acquire, Develop, and Retain Talent
Carla Gentry CSPO's insight:
Not your Father's HR! 
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The Hype Around Graph Databases And Why It Matters

The Hype Around Graph Databases And Why It Matters | Data Nerd's Corner | Scoop.it
Graph Databases are rapidly gaining traction in the market as an effective method for deciphering meaning but many people outside the space are unsure of what exactly this entails. Generally speaking, graph databases store data in a graph structure where entities are connected through relationships to adjacent elements. The Web is a graph; also your friend-of-a-friend network and the road network are graphs.
Carla Gentry CSPO's insight:

Graph Databases are rapidly gaining traction in the market as an effective method for deciphering meaning but many people outside the space are unsure of what exactly this entails. Generally speaking, graph databases store data in a graph structure where entities are connected through relationships to adjacent elements. The Web is a graph; also your friend-of-a-friend network and the road network are graphs.

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Survey: Data warehouses in no danger from Hadoop -- GCN

Survey: Data warehouses in no danger from Hadoop -- GCN | Data Nerd's Corner | Scoop.it
A recent survey by Dimensional Research found that data warehousing is still considered a critical business component, in spite of its challenges of scalability and cost. Seventy-two percent of respondents said they expected to increase their investment in data warehousing, and few reported experimenting with big data and Hadoop.
Carla Gentry CSPO's insight:

Interest in big data is high, with 91 percent of respondents indicating they’ve considered an investment, but only 11 percent of respondents have a pilot in place, and just 5 percent have fully deployed a big data initiative. One of the big data roadblocks might be Hadoop, with an overwhelming majority of respondents expressing concerns, specifically about access to expertise.

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On the Importance of ETL - SemAngel

On the Importance of ETL - SemAngel | Data Nerd's Corner | Scoop.it
If you translate IT analytics professions into their Hollywood counterparts, analysts are the stars and big data architects are the directors. It’s great to be in the leading roles. But you can’t make a movie with just stars and a director. Somebody has to build sets, manage the lighting and roll film. Our IT analytics equivalent is ETL – the difficult but totally essential process of moving data and manipulating it into the highly usable forms specified by the architects and demanded by the analysts. In this extended series on big data, I’ve so far concentrated on the essential role...
Carla Gentry CSPO's insight:

The implication of this is clear: in the modern analytics platform, there will be production ETL to support the type of intermediate data structures I’ve been talking about, but most deep-dive analysis tasks will require additional ETL by the analyst. Here’s where Hadoop systems make life even harder (though they have some striking advantages here too). Not too long ago, when database appliances were the high-end analytics platform of choice, people evolved a paradigm of ETL as ELT – where the transformation of the data happens after load. ELT worked because database appliances are very well suited to doing massive transformations on full files using SQL. And the fact that SQL was the transform language made this paradigm much easier for most analysts.

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