SlideShare a Scribd company logo
1 of 54
Download to read offline
Leading with Data:
Boost Your ROI with Open and Big
Data

Join the conversation with @MHBusiness @sonnytambe @JoelGurin
Use #worksmarter
2
Find me at OpenDataNow.com and @joelgurin

3
Setting the Stage
My Journey Through the Datasphere

4
Setting the Stage

The GovLab’s Central Hypothesis
When governments and institutions open
themselves to diverse participation and
collaborative problem-solving, and partner
with citizens to make decisions, they are more
effective and legitimate.
Setting the Stage

Open Data: Accessible, public data that
people, companies, and organizations
can use to launch new ventures, analyze
patterns and trends, make data-driven
decisions, and solve complex problems.

6
Setting the Stage
Open Data Changes the World For:
•
•
•
•
•
•
•

Entrepreneurs
Established businesses
Governments
Investors
Scientists
Journalists
Consumers

7
Setting the Stage

What Open Data Isn’t

• Big Data ≠ Open Data ≠ Open
Government
• Big Data: Really, really big datasets
• Open Government: Transparency,
participation, collaboration – with or
without data

8
Setting the Stage

9
Liberating Federal Data
Federal Data
Open Data Becomes a Priority

[Open Data is] going to help launch more
businesses. . . . It’s going to help more
entrepreneurs come up with products and
services that we haven’t even imagined yet.

President Barack Obama

11
Federal Data
Federal Data Today

12
Federal Data
The New Open Data Policy
•
•
•
•
•

“Presumption of openness”
Machine-readable
Reusable
Timely
Developed with consultation

13
Federal Data
They Agree On – The DATA Act

14
Data-Driven States and Cities
State and City Data
Help for K-12 Households

Bill Jackson, CEO
16
State and City Data

17
Data-Driven Cities

How Wired Cities Use New Data
•Optimize operations
•Monitor infrastructure conditions
•Plan infrastructure
•Public health
•Emergency management

18
State and City Data

•
•
•
•

Metro Chicago Data
New York: The Mayor’s Geek Squad
Code for Philly
Palo Alto’s open finances

19
State and City Data
City Data: Next Bus for Commuters
State and City Data

Sim City Meets Participatory Budgeting
State and City Data
DC’s Experiment: A City Report Card

Washington Mayor Vincent Gray
22
State and City Data
• Sharing personal data for public good
• Pulse Point: “Enabling Citizen Superheroes”

23
Open Data Shapes Reputation and Brands
Reputation and Brands
Social Media: 2 Billion Tweets a Week

25
Reputation and Brands
The Reputation Police

Michael Fertik, CEO
26
Reputation and Brands
Sentiment Analysis: Emotion Meets Computation

27
Reputation and Brands
Open Data from Consumer Complaints

Courtney Powell and A.J. Fouty, cofounders
28
Reputation and Brands

29
Reputation and Brands

30
Driving Business Growth
Driving Business Growth
Open Data Fuels Businesses in All Sectors

Health

Education

Financial Services

Energy Use

Transportation
32
Driving Business Growth
From Weather Insurance to Green Revolution

Climate Corporation offices in San Francisco
33
Driving Business Growth
40K Public Companies, Updated Daily

34
Driving Business Growth
Healthcare: The Next Big Frontier?

35
Driving Business Growth

36
Driving Business Growth
Data for Energy Savings

Ogi Kavazovic, VP Marketing & Strategy
37
Driving Business Growth
Managing Open Data: A Winning Strategy

38
Finding the Value: The Open Data 500
Open Data 500
What’s the Value of Open Data?
•
•
•
•
•
•

McKinsey study: $3 trillion annually worldwide
30 to 140 billion euros for Europe’s public sector data
2 to 9 billion British pounds
$30 billion for U.S. weather data
Tens of billions for U.S. GPS data
Hundreds of billions for U.S. health data

40
Open Data 500

41
Open Data 500
Open Data 500: Assessing the Value Rigorously
• Criteria:
– U.S. based
– National or regional scale (mostly federal data)
– Open Data must be key to business

•
•
•
•

More than 500 companies contacted so far
Wide range of sectors covered
Partnering with Open Data Institute to replicate in the U.K.
Interest from 15 other countries at Open Government
Partnership

www.OpenData500.com
42
Open Data 500

43
Big Data and HR
Prasanna Tambe
NYU Stern School of Business
ptambe@stern.nyu.edu
Leading with Data:
Boost Your ROI with Open and Big Data
February 26, 2014
Existing sources of HR data
•

Data collected during recruiting, hiring
•

•

Data routinely collected by organizations
•

•

employment histories (resumes), skills, interview and test
evaluations

performance reviews, task and project evaluations

Administrative labor market data
•

regional and industry data on skills, wages, occupations
But “digital breadcrumbs” are creating a data
revolution
(courtesy Erik Brynjolfsson)

Clickstream/Page views/Web transactions
Email messages
Mobile phone/GPS/Location data
Web links/Blog references/Facebook
Google/Bing/Yahoo Searches
ERP/CRM/SCM transactions
RFID (Radio Frequency Identification), Bar Code
Data
Real-time machinery diagnostics/engines/equipment
Stock market transactions
Twitter feeds
Wikipedia updates
Online Databases of resumes
Emerging sources of HR and workforce data
•

Online/Internet data
•

•

Digital traces from work activities
•

•

internal knowledge boards, internal corporate network activity, finegrained measures of project and task performance

Social and physical network data
•

•

labor market level information on skills and experience, discussion board
posts, software and projects posted online

employee referrals, person-to-person communications, sociometric
badges, email networks, internal digital chatter, video and camera data

Data generated through new assessment tools
•

online assessment (e.g. MOOCs), test-based video games
Vast increase on data on spatial and temporal
movements
•

Micro-measurement of personal productivity

•

Team productivity

•

Organizational productivity
http://www.flickr.com/photos/walkingsf/sets/72157623971287575
/
How can the big data "microscope" aid
workforce related decisions?
•

Remove cognitive biases and reliance on intuition
• W don't know what makes us productive (especially
e
information workers)

•

Enables quantification of the impact of HR-related decisions
•

W is our inability to retain engineers costing us?
hat
How are employers using analytics?
now

near future?

•

Predicting retention/turnover
for high-skill employees

•

Where are we likely to have skill
gaps in ten years?

•

How desk location affects
information flows

•

What is the return on investment
to a specific HR policy?

•

Using internal communications
to predict employee
performance

•

Can applicant profiles based on
Internet data outperform
traditional 'signals' (e.g.
education)?

•

What (other) job titles predict
success in the opening I am
trying to fill?
Lessons learned (so far)

•

Data is not a substitute for conceptualization

•

Knowing the right questions to ask (domain expertise) is
critically important

•

The interest in analytics is likely to outpace results in the
short-run as employers put the right pieces in place

•

But we are likely to see a significant increase in the number
of ways data is used for HR-related decision-making within a
few years
Potential barriers to using analytics

•

A new generation of technical and analytic
skills

•

Collection and management of new data
sources

•

Policies regarding data collection and use
(privacy)
Questions?

Don’t forget to sign up for the next event:
http://bit.ly/mhpworksmarter

Available in print and eBook

More Related Content

What's hot

The Human Side of Data By Colin Strong
The Human Side of Data By Colin StrongThe Human Side of Data By Colin Strong
The Human Side of Data By Colin StrongMarTech Conference
 
Big and Fast Data: The Rise of Insight-Driven Business
Big and Fast Data: The Rise of Insight-Driven BusinessBig and Fast Data: The Rise of Insight-Driven Business
Big and Fast Data: The Rise of Insight-Driven BusinessMichael Bailey
 
Improve Customer Experiences With Big Data #DataTalk
Improve Customer Experiences With Big Data #DataTalkImprove Customer Experiences With Big Data #DataTalk
Improve Customer Experiences With Big Data #DataTalkExperian_US
 
Big Data: The Force That’s Good for Consumers and Society
Big Data: The Force That’s Good for Consumers and SocietyBig Data: The Force That’s Good for Consumers and Society
Big Data: The Force That’s Good for Consumers and SocietyExperian_US
 
Best Practices in Experimenting with Existing Channels - Omni Digital
Best Practices in Experimenting with Existing Channels - Omni DigitalBest Practices in Experimenting with Existing Channels - Omni Digital
Best Practices in Experimenting with Existing Channels - Omni DigitalCharlene Li
 
Visualisation & Storytelling in Data Science & Analytics
Visualisation & Storytelling in Data Science & AnalyticsVisualisation & Storytelling in Data Science & Analytics
Visualisation & Storytelling in Data Science & AnalyticsFelipe Rego
 
Keeping it real - How authentic is your Corporate Purpose?
 Keeping it real - How authentic is your Corporate Purpose?  Keeping it real - How authentic is your Corporate Purpose?
Keeping it real - How authentic is your Corporate Purpose? Burson-Marsteller
 
From Human Factors to Social Insights
From Human Factors to Social InsightsFrom Human Factors to Social Insights
From Human Factors to Social InsightsErling Amundson
 
Know Your Market - Know Your Customer: What Web Data Reveals if You Know Wher...
Know Your Market - Know Your Customer: What Web Data Reveals if You Know Wher...Know Your Market - Know Your Customer: What Web Data Reveals if You Know Wher...
Know Your Market - Know Your Customer: What Web Data Reveals if You Know Wher...Connotate
 
Social Insights on the Luxury Fashion Industry
Social Insights on the Luxury Fashion IndustrySocial Insights on the Luxury Fashion Industry
Social Insights on the Luxury Fashion IndustryBrandwatch
 
Alteryx Case Study: Generating quality leads at a lower cost with LinkedIn Sp...
Alteryx Case Study: Generating quality leads at a lower cost with LinkedIn Sp...Alteryx Case Study: Generating quality leads at a lower cost with LinkedIn Sp...
Alteryx Case Study: Generating quality leads at a lower cost with LinkedIn Sp...LinkedIn
 
Business models, business strategy and innovation
Business models, business strategy and innovationBusiness models, business strategy and innovation
Business models, business strategy and innovationJonh Honare
 
New Rules of Engagement in the Age of Voice-Powered Ecosystems
New Rules of Engagement in the Age of Voice-Powered EcosystemsNew Rules of Engagement in the Age of Voice-Powered Ecosystems
New Rules of Engagement in the Age of Voice-Powered EcosystemsPublicis Sapient
 
How to Use Data for Good
How to Use Data for Good How to Use Data for Good
How to Use Data for Good Experian_US
 

What's hot (20)

Be Your Own Activist Investor
Be Your Own Activist InvestorBe Your Own Activist Investor
Be Your Own Activist Investor
 
The Human Side of Data By Colin Strong
The Human Side of Data By Colin StrongThe Human Side of Data By Colin Strong
The Human Side of Data By Colin Strong
 
Big and Fast Data: The Rise of Insight-Driven Business
Big and Fast Data: The Rise of Insight-Driven BusinessBig and Fast Data: The Rise of Insight-Driven Business
Big and Fast Data: The Rise of Insight-Driven Business
 
Improve Customer Experiences With Big Data #DataTalk
Improve Customer Experiences With Big Data #DataTalkImprove Customer Experiences With Big Data #DataTalk
Improve Customer Experiences With Big Data #DataTalk
 
8 Retail Trends You Cannot Ignore
8 Retail Trends You Cannot Ignore8 Retail Trends You Cannot Ignore
8 Retail Trends You Cannot Ignore
 
Big Data: The Force That’s Good for Consumers and Society
Big Data: The Force That’s Good for Consumers and SocietyBig Data: The Force That’s Good for Consumers and Society
Big Data: The Force That’s Good for Consumers and Society
 
Best Practices in Experimenting with Existing Channels - Omni Digital
Best Practices in Experimenting with Existing Channels - Omni DigitalBest Practices in Experimenting with Existing Channels - Omni Digital
Best Practices in Experimenting with Existing Channels - Omni Digital
 
Visualisation & Storytelling in Data Science & Analytics
Visualisation & Storytelling in Data Science & AnalyticsVisualisation & Storytelling in Data Science & Analytics
Visualisation & Storytelling in Data Science & Analytics
 
Keeping it real - How authentic is your Corporate Purpose?
 Keeping it real - How authentic is your Corporate Purpose?  Keeping it real - How authentic is your Corporate Purpose?
Keeping it real - How authentic is your Corporate Purpose?
 
Sue Siegel, GE
Sue Siegel, GESue Siegel, GE
Sue Siegel, GE
 
From Human Factors to Social Insights
From Human Factors to Social InsightsFrom Human Factors to Social Insights
From Human Factors to Social Insights
 
Know Your Market - Know Your Customer: What Web Data Reveals if You Know Wher...
Know Your Market - Know Your Customer: What Web Data Reveals if You Know Wher...Know Your Market - Know Your Customer: What Web Data Reveals if You Know Wher...
Know Your Market - Know Your Customer: What Web Data Reveals if You Know Wher...
 
Real Time Quality
Real Time QualityReal Time Quality
Real Time Quality
 
TEST
TESTTEST
TEST
 
Social Insights on the Luxury Fashion Industry
Social Insights on the Luxury Fashion IndustrySocial Insights on the Luxury Fashion Industry
Social Insights on the Luxury Fashion Industry
 
Alteryx Case Study: Generating quality leads at a lower cost with LinkedIn Sp...
Alteryx Case Study: Generating quality leads at a lower cost with LinkedIn Sp...Alteryx Case Study: Generating quality leads at a lower cost with LinkedIn Sp...
Alteryx Case Study: Generating quality leads at a lower cost with LinkedIn Sp...
 
Business models, business strategy and innovation
Business models, business strategy and innovationBusiness models, business strategy and innovation
Business models, business strategy and innovation
 
New Rules of Engagement in the Age of Voice-Powered Ecosystems
New Rules of Engagement in the Age of Voice-Powered EcosystemsNew Rules of Engagement in the Age of Voice-Powered Ecosystems
New Rules of Engagement in the Age of Voice-Powered Ecosystems
 
Cognitive Chasms
Cognitive ChasmsCognitive Chasms
Cognitive Chasms
 
How to Use Data for Good
How to Use Data for Good How to Use Data for Good
How to Use Data for Good
 

Similar to Leading with Data: Boost Your ROI with Open and Big Data

Open data meetup nyc 1 23-14
Open data meetup nyc 1 23-14Open data meetup nyc 1 23-14
Open data meetup nyc 1 23-14Vivian S. Zhang
 
Unlocking the Value of Big Data in 2014
Unlocking the Value of Big Data in 2014Unlocking the Value of Big Data in 2014
Unlocking the Value of Big Data in 2014Dun & Bradstreet
 
The Emerging Workforce Data Ecosystem: New Strategies, Partners & Tools Helpi...
The Emerging Workforce Data Ecosystem: New Strategies, Partners & Tools Helpi...The Emerging Workforce Data Ecosystem: New Strategies, Partners & Tools Helpi...
The Emerging Workforce Data Ecosystem: New Strategies, Partners & Tools Helpi...Kristin Wolff
 
Unlocking the Value of Big Data (Innovation Summit 2014)
Unlocking the Value of Big Data (Innovation Summit 2014)Unlocking the Value of Big Data (Innovation Summit 2014)
Unlocking the Value of Big Data (Innovation Summit 2014)Dun & Bradstreet
 
Network Conference LMS Big Data Final 1.24.14
Network Conference LMS Big Data Final 1.24.14Network Conference LMS Big Data Final 1.24.14
Network Conference LMS Big Data Final 1.24.14LMSmith361
 
Big Data & Business Analytics: Understanding the Marketspace
Big Data & Business Analytics: Understanding the MarketspaceBig Data & Business Analytics: Understanding the Marketspace
Big Data & Business Analytics: Understanding the MarketspaceBala Iyer
 
Launching the Open Data 500
Launching the Open Data 500Launching the Open Data 500
Launching the Open Data 500Katherine Garcia
 
Capitalize On Social Media With Big Data Analytics
Capitalize On Social Media With Big Data AnalyticsCapitalize On Social Media With Big Data Analytics
Capitalize On Social Media With Big Data AnalyticsHassan Keshavarz
 
Big Data, Big Responsibilities
Big Data, Big ResponsibilitiesBig Data, Big Responsibilities
Big Data, Big ResponsibilitiesStephen Loudermilk
 
Big Data - Bridging Technology and Humans
Big Data - Bridging Technology and HumansBig Data - Bridging Technology and Humans
Big Data - Bridging Technology and HumansMark Laurance
 
What Big Data Means for PR and Why It Matters to Us
What Big Data Means for PR and Why It Matters to UsWhat Big Data Means for PR and Why It Matters to Us
What Big Data Means for PR and Why It Matters to UsMSL
 
big data analytics pgpmx2015
big data analytics pgpmx2015big data analytics pgpmx2015
big data analytics pgpmx2015Sanmeet Dhokay
 
20130917 datasift presentation to social media meetup
20130917 datasift presentation to social media meetup20130917 datasift presentation to social media meetup
20130917 datasift presentation to social media meetupTableau Software
 
#SXSW Health 2013 Highlights
#SXSW Health 2013 Highlights #SXSW Health 2013 Highlights
#SXSW Health 2013 Highlights Ryan Stephens
 
Data Analytics in Today's War for Talent
Data Analytics in Today's War for TalentData Analytics in Today's War for Talent
Data Analytics in Today's War for TalentTALiNT Partners
 
How technologies like big data and social
How technologies like big data and socialHow technologies like big data and social
How technologies like big data and socialEdward Chenard
 
Presentation big data and social media final_video
Presentation big data and social media final_videoPresentation big data and social media final_video
Presentation big data and social media final_videoramikaurraminder
 
BI "Governments" for Healthcare
BI "Governments" for HealthcareBI "Governments" for Healthcare
BI "Governments" for HealthcareJason Oliveira
 

Similar to Leading with Data: Boost Your ROI with Open and Big Data (20)

Open data meetup nyc 1 23-14
Open data meetup nyc 1 23-14Open data meetup nyc 1 23-14
Open data meetup nyc 1 23-14
 
Unlocking the Value of Big Data in 2014
Unlocking the Value of Big Data in 2014Unlocking the Value of Big Data in 2014
Unlocking the Value of Big Data in 2014
 
The Emerging Workforce Data Ecosystem: New Strategies, Partners & Tools Helpi...
The Emerging Workforce Data Ecosystem: New Strategies, Partners & Tools Helpi...The Emerging Workforce Data Ecosystem: New Strategies, Partners & Tools Helpi...
The Emerging Workforce Data Ecosystem: New Strategies, Partners & Tools Helpi...
 
Unlocking the Value of Big Data (Innovation Summit 2014)
Unlocking the Value of Big Data (Innovation Summit 2014)Unlocking the Value of Big Data (Innovation Summit 2014)
Unlocking the Value of Big Data (Innovation Summit 2014)
 
Network Conference LMS Big Data Final 1.24.14
Network Conference LMS Big Data Final 1.24.14Network Conference LMS Big Data Final 1.24.14
Network Conference LMS Big Data Final 1.24.14
 
Big Data & Business Analytics: Understanding the Marketspace
Big Data & Business Analytics: Understanding the MarketspaceBig Data & Business Analytics: Understanding the Marketspace
Big Data & Business Analytics: Understanding the Marketspace
 
Launching the Open Data 500
Launching the Open Data 500Launching the Open Data 500
Launching the Open Data 500
 
Martinez treasury 4 11
Martinez treasury 4 11Martinez treasury 4 11
Martinez treasury 4 11
 
Capitalize On Social Media With Big Data Analytics
Capitalize On Social Media With Big Data AnalyticsCapitalize On Social Media With Big Data Analytics
Capitalize On Social Media With Big Data Analytics
 
Big Data, Big Responsibilities
Big Data, Big ResponsibilitiesBig Data, Big Responsibilities
Big Data, Big Responsibilities
 
Big Data - Bridging Technology and Humans
Big Data - Bridging Technology and HumansBig Data - Bridging Technology and Humans
Big Data - Bridging Technology and Humans
 
What Big Data Means for PR and Why It Matters to Us
What Big Data Means for PR and Why It Matters to UsWhat Big Data Means for PR and Why It Matters to Us
What Big Data Means for PR and Why It Matters to Us
 
big data analytics pgpmx2015
big data analytics pgpmx2015big data analytics pgpmx2015
big data analytics pgpmx2015
 
20130917 datasift presentation to social media meetup
20130917 datasift presentation to social media meetup20130917 datasift presentation to social media meetup
20130917 datasift presentation to social media meetup
 
#SXSW Health 2013 Highlights
#SXSW Health 2013 Highlights #SXSW Health 2013 Highlights
#SXSW Health 2013 Highlights
 
Data Analytics in Today's War for Talent
Data Analytics in Today's War for TalentData Analytics in Today's War for Talent
Data Analytics in Today's War for Talent
 
How technologies like big data and social
How technologies like big data and socialHow technologies like big data and social
How technologies like big data and social
 
Presentation big data and social media final_video
Presentation big data and social media final_videoPresentation big data and social media final_video
Presentation big data and social media final_video
 
Anatomy of the new decision
Anatomy of the new decisionAnatomy of the new decision
Anatomy of the new decision
 
BI "Governments" for Healthcare
BI "Governments" for HealthcareBI "Governments" for Healthcare
BI "Governments" for Healthcare
 

More from McGraw-Hill Professional

Learn How to Gain Insights and Perspective from Think to Win co-author Peter ...
Learn How to Gain Insights and Perspective from Think to Win co-author Peter ...Learn How to Gain Insights and Perspective from Think to Win co-author Peter ...
Learn How to Gain Insights and Perspective from Think to Win co-author Peter ...McGraw-Hill Professional
 
Leverage Content Marketing and Social Media to Engage More Customers
Leverage Content Marketing and Social Media to Engage More CustomersLeverage Content Marketing and Social Media to Engage More Customers
Leverage Content Marketing and Social Media to Engage More CustomersMcGraw-Hill Professional
 
Remarkable Leadership to Inspire Great Work
Remarkable Leadership to Inspire Great WorkRemarkable Leadership to Inspire Great Work
Remarkable Leadership to Inspire Great WorkMcGraw-Hill Professional
 
How Much Do We Pay for Things Numbersense by Kaiser Fung
How Much Do We Pay for Things Numbersense by Kaiser FungHow Much Do We Pay for Things Numbersense by Kaiser Fung
How Much Do We Pay for Things Numbersense by Kaiser FungMcGraw-Hill Professional
 
Law School Escaped Great Recession from Numbersense by Kaiser Fung
Law School Escaped Great Recession from Numbersense by Kaiser FungLaw School Escaped Great Recession from Numbersense by Kaiser Fung
Law School Escaped Great Recession from Numbersense by Kaiser FungMcGraw-Hill Professional
 
Coaching Ability for Fantasy Football from Numbersense by Kaiser Fung
Coaching Ability for Fantasy Football from Numbersense by Kaiser FungCoaching Ability for Fantasy Football from Numbersense by Kaiser Fung
Coaching Ability for Fantasy Football from Numbersense by Kaiser FungMcGraw-Hill Professional
 
Building Long-Term Value in a Short-Term World
Building Long-Term Value in a Short-Term WorldBuilding Long-Term Value in a Short-Term World
Building Long-Term Value in a Short-Term WorldMcGraw-Hill Professional
 
What Would Drucker Do Now? by Rick Wartzman
What Would Drucker Do Now? by Rick WartzmanWhat Would Drucker Do Now? by Rick Wartzman
What Would Drucker Do Now? by Rick WartzmanMcGraw-Hill Professional
 
The Present and Future of High Frequency Trading
The Present and Future of High Frequency TradingThe Present and Future of High Frequency Trading
The Present and Future of High Frequency TradingMcGraw-Hill Professional
 
The Human Dimension and Management as a Liberal Art
The Human Dimension and Management as a Liberal ArtThe Human Dimension and Management as a Liberal Art
The Human Dimension and Management as a Liberal ArtMcGraw-Hill Professional
 
Applied Social Ecology Innovation & Change
Applied Social Ecology Innovation & ChangeApplied Social Ecology Innovation & Change
Applied Social Ecology Innovation & ChangeMcGraw-Hill Professional
 
Social Ecology and the Practice of Management
Social Ecology and the Practice of ManagementSocial Ecology and the Practice of Management
Social Ecology and the Practice of ManagementMcGraw-Hill Professional
 
Federalism and the Distribution of Power and Authority
Federalism and the Distribution of Power and AuthorityFederalism and the Distribution of Power and Authority
Federalism and the Distribution of Power and AuthorityMcGraw-Hill Professional
 
Contributions of Management as a Liberal Art Practice
Contributions of Management as a Liberal Art PracticeContributions of Management as a Liberal Art Practice
Contributions of Management as a Liberal Art PracticeMcGraw-Hill Professional
 
Management and Liberal Arts Traditions Bridging the Two Worlds
Management and Liberal Arts Traditions Bridging the Two WorldsManagement and Liberal Arts Traditions Bridging the Two Worlds
Management and Liberal Arts Traditions Bridging the Two WorldsMcGraw-Hill Professional
 
Management's Origins as a Study Within the Liberal
Management's Origins as a Study Within the LiberalManagement's Origins as a Study Within the Liberal
Management's Origins as a Study Within the LiberalMcGraw-Hill Professional
 

More from McGraw-Hill Professional (20)

Learn How to Gain Insights and Perspective from Think to Win co-author Peter ...
Learn How to Gain Insights and Perspective from Think to Win co-author Peter ...Learn How to Gain Insights and Perspective from Think to Win co-author Peter ...
Learn How to Gain Insights and Perspective from Think to Win co-author Peter ...
 
Leverage Content Marketing and Social Media to Engage More Customers
Leverage Content Marketing and Social Media to Engage More CustomersLeverage Content Marketing and Social Media to Engage More Customers
Leverage Content Marketing and Social Media to Engage More Customers
 
Remarkable Leadership to Inspire Great Work
Remarkable Leadership to Inspire Great WorkRemarkable Leadership to Inspire Great Work
Remarkable Leadership to Inspire Great Work
 
How Much Do We Pay for Things Numbersense by Kaiser Fung
How Much Do We Pay for Things Numbersense by Kaiser FungHow Much Do We Pay for Things Numbersense by Kaiser Fung
How Much Do We Pay for Things Numbersense by Kaiser Fung
 
Law School Escaped Great Recession from Numbersense by Kaiser Fung
Law School Escaped Great Recession from Numbersense by Kaiser FungLaw School Escaped Great Recession from Numbersense by Kaiser Fung
Law School Escaped Great Recession from Numbersense by Kaiser Fung
 
Coaching Ability for Fantasy Football from Numbersense by Kaiser Fung
Coaching Ability for Fantasy Football from Numbersense by Kaiser FungCoaching Ability for Fantasy Football from Numbersense by Kaiser Fung
Coaching Ability for Fantasy Football from Numbersense by Kaiser Fung
 
The Tasti D-Lite Way
The Tasti D-Lite WayThe Tasti D-Lite Way
The Tasti D-Lite Way
 
Building Long-Term Value in a Short-Term World
Building Long-Term Value in a Short-Term WorldBuilding Long-Term Value in a Short-Term World
Building Long-Term Value in a Short-Term World
 
What Would Drucker Do Now? by Rick Wartzman
What Would Drucker Do Now? by Rick WartzmanWhat Would Drucker Do Now? by Rick Wartzman
What Would Drucker Do Now? by Rick Wartzman
 
Saving Capitalism from Short-Termism
Saving Capitalism from Short-TermismSaving Capitalism from Short-Termism
Saving Capitalism from Short-Termism
 
The Present and Future of High Frequency Trading
The Present and Future of High Frequency TradingThe Present and Future of High Frequency Trading
The Present and Future of High Frequency Trading
 
The Human Dimension and Management as a Liberal Art
The Human Dimension and Management as a Liberal ArtThe Human Dimension and Management as a Liberal Art
The Human Dimension and Management as a Liberal Art
 
Applied Social Ecology Innovation & Change
Applied Social Ecology Innovation & ChangeApplied Social Ecology Innovation & Change
Applied Social Ecology Innovation & Change
 
Social Ecology and the Practice of Management
Social Ecology and the Practice of ManagementSocial Ecology and the Practice of Management
Social Ecology and the Practice of Management
 
Effective Leadership as a Liberal Art
Effective Leadership as a Liberal ArtEffective Leadership as a Liberal Art
Effective Leadership as a Liberal Art
 
Federalism and the Distribution of Power and Authority
Federalism and the Distribution of Power and AuthorityFederalism and the Distribution of Power and Authority
Federalism and the Distribution of Power and Authority
 
Contributions of Management as a Liberal Art Practice
Contributions of Management as a Liberal Art PracticeContributions of Management as a Liberal Art Practice
Contributions of Management as a Liberal Art Practice
 
Management and Liberal Arts Traditions Bridging the Two Worlds
Management and Liberal Arts Traditions Bridging the Two WorldsManagement and Liberal Arts Traditions Bridging the Two Worlds
Management and Liberal Arts Traditions Bridging the Two Worlds
 
Management's Origins as a Study Within the Liberal
Management's Origins as a Study Within the LiberalManagement's Origins as a Study Within the Liberal
Management's Origins as a Study Within the Liberal
 
Capturing New Markets by Stephen Wunker
Capturing New Markets by Stephen WunkerCapturing New Markets by Stephen Wunker
Capturing New Markets by Stephen Wunker
 

Recently uploaded

ARTICULAR DISC OF TEMPOROMANDIBULAR JOINT
ARTICULAR DISC OF TEMPOROMANDIBULAR JOINTARTICULAR DISC OF TEMPOROMANDIBULAR JOINT
ARTICULAR DISC OF TEMPOROMANDIBULAR JOINTDR. SNEHA NAIR
 
Education and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptxEducation and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptxraviapr7
 
Slides CapTechTalks Webinar March 2024 Joshua Sinai.pptx
Slides CapTechTalks Webinar March 2024 Joshua Sinai.pptxSlides CapTechTalks Webinar March 2024 Joshua Sinai.pptx
Slides CapTechTalks Webinar March 2024 Joshua Sinai.pptxCapitolTechU
 
The Stolen Bacillus by Herbert George Wells
The Stolen Bacillus by Herbert George WellsThe Stolen Bacillus by Herbert George Wells
The Stolen Bacillus by Herbert George WellsEugene Lysak
 
Over the counter (OTC)- Sale, rational use.pptx
Over the counter (OTC)- Sale, rational use.pptxOver the counter (OTC)- Sale, rational use.pptx
Over the counter (OTC)- Sale, rational use.pptxraviapr7
 
Riddhi Kevadiya. WILLIAM SHAKESPEARE....
Riddhi Kevadiya. WILLIAM SHAKESPEARE....Riddhi Kevadiya. WILLIAM SHAKESPEARE....
Riddhi Kevadiya. WILLIAM SHAKESPEARE....Riddhi Kevadiya
 
SOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptx
SOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptxSOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptx
SOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptxSyedNadeemGillANi
 
HED Office Sohayok Exam Question Solution 2023.pdf
HED Office Sohayok Exam Question Solution 2023.pdfHED Office Sohayok Exam Question Solution 2023.pdf
HED Office Sohayok Exam Question Solution 2023.pdfMohonDas
 
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptxClinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptxraviapr7
 
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptxSandy Millin
 
Diploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdfDiploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdfMohonDas
 
How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17Celine George
 
3.21.24 The Origins of Black Power.pptx
3.21.24  The Origins of Black Power.pptx3.21.24  The Origins of Black Power.pptx
3.21.24 The Origins of Black Power.pptxmary850239
 
How to Create a Toggle Button in Odoo 17
How to Create a Toggle Button in Odoo 17How to Create a Toggle Button in Odoo 17
How to Create a Toggle Button in Odoo 17Celine George
 
How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17Celine George
 
5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...CaraSkikne1
 
In - Vivo and In - Vitro Correlation.pptx
In - Vivo and In - Vitro Correlation.pptxIn - Vivo and In - Vitro Correlation.pptx
In - Vivo and In - Vitro Correlation.pptxAditiChauhan701637
 
Quality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICEQuality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICESayali Powar
 
3.26.24 Race, the Draft, and the Vietnam War.pptx
3.26.24 Race, the Draft, and the Vietnam War.pptx3.26.24 Race, the Draft, and the Vietnam War.pptx
3.26.24 Race, the Draft, and the Vietnam War.pptxmary850239
 

Recently uploaded (20)

Finals of Kant get Marx 2.0 : a general politics quiz
Finals of Kant get Marx 2.0 : a general politics quizFinals of Kant get Marx 2.0 : a general politics quiz
Finals of Kant get Marx 2.0 : a general politics quiz
 
ARTICULAR DISC OF TEMPOROMANDIBULAR JOINT
ARTICULAR DISC OF TEMPOROMANDIBULAR JOINTARTICULAR DISC OF TEMPOROMANDIBULAR JOINT
ARTICULAR DISC OF TEMPOROMANDIBULAR JOINT
 
Education and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptxEducation and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptx
 
Slides CapTechTalks Webinar March 2024 Joshua Sinai.pptx
Slides CapTechTalks Webinar March 2024 Joshua Sinai.pptxSlides CapTechTalks Webinar March 2024 Joshua Sinai.pptx
Slides CapTechTalks Webinar March 2024 Joshua Sinai.pptx
 
The Stolen Bacillus by Herbert George Wells
The Stolen Bacillus by Herbert George WellsThe Stolen Bacillus by Herbert George Wells
The Stolen Bacillus by Herbert George Wells
 
Over the counter (OTC)- Sale, rational use.pptx
Over the counter (OTC)- Sale, rational use.pptxOver the counter (OTC)- Sale, rational use.pptx
Over the counter (OTC)- Sale, rational use.pptx
 
Riddhi Kevadiya. WILLIAM SHAKESPEARE....
Riddhi Kevadiya. WILLIAM SHAKESPEARE....Riddhi Kevadiya. WILLIAM SHAKESPEARE....
Riddhi Kevadiya. WILLIAM SHAKESPEARE....
 
SOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptx
SOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptxSOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptx
SOLIDE WASTE in Cameroon,,,,,,,,,,,,,,,,,,,,,,,,,,,.pptx
 
HED Office Sohayok Exam Question Solution 2023.pdf
HED Office Sohayok Exam Question Solution 2023.pdfHED Office Sohayok Exam Question Solution 2023.pdf
HED Office Sohayok Exam Question Solution 2023.pdf
 
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptxClinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptx
 
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
 
Diploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdfDiploma in Nursing Admission Test Question Solution 2023.pdf
Diploma in Nursing Admission Test Question Solution 2023.pdf
 
How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17How to Show Error_Warning Messages in Odoo 17
How to Show Error_Warning Messages in Odoo 17
 
3.21.24 The Origins of Black Power.pptx
3.21.24  The Origins of Black Power.pptx3.21.24  The Origins of Black Power.pptx
3.21.24 The Origins of Black Power.pptx
 
How to Create a Toggle Button in Odoo 17
How to Create a Toggle Button in Odoo 17How to Create a Toggle Button in Odoo 17
How to Create a Toggle Button in Odoo 17
 
How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17
 
5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...
 
In - Vivo and In - Vitro Correlation.pptx
In - Vivo and In - Vitro Correlation.pptxIn - Vivo and In - Vitro Correlation.pptx
In - Vivo and In - Vitro Correlation.pptx
 
Quality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICEQuality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICE
 
3.26.24 Race, the Draft, and the Vietnam War.pptx
3.26.24 Race, the Draft, and the Vietnam War.pptx3.26.24 Race, the Draft, and the Vietnam War.pptx
3.26.24 Race, the Draft, and the Vietnam War.pptx
 

Leading with Data: Boost Your ROI with Open and Big Data

  • 1. Leading with Data: Boost Your ROI with Open and Big Data Join the conversation with @MHBusiness @sonnytambe @JoelGurin Use #worksmarter
  • 2. 2
  • 3. Find me at OpenDataNow.com and @joelgurin 3
  • 4. Setting the Stage My Journey Through the Datasphere 4
  • 5. Setting the Stage The GovLab’s Central Hypothesis When governments and institutions open themselves to diverse participation and collaborative problem-solving, and partner with citizens to make decisions, they are more effective and legitimate.
  • 6. Setting the Stage Open Data: Accessible, public data that people, companies, and organizations can use to launch new ventures, analyze patterns and trends, make data-driven decisions, and solve complex problems. 6
  • 7. Setting the Stage Open Data Changes the World For: • • • • • • • Entrepreneurs Established businesses Governments Investors Scientists Journalists Consumers 7
  • 8. Setting the Stage What Open Data Isn’t • Big Data ≠ Open Data ≠ Open Government • Big Data: Really, really big datasets • Open Government: Transparency, participation, collaboration – with or without data 8
  • 11. Federal Data Open Data Becomes a Priority [Open Data is] going to help launch more businesses. . . . It’s going to help more entrepreneurs come up with products and services that we haven’t even imagined yet. President Barack Obama 11
  • 13. Federal Data The New Open Data Policy • • • • • “Presumption of openness” Machine-readable Reusable Timely Developed with consultation 13
  • 14. Federal Data They Agree On – The DATA Act 14
  • 16. State and City Data Help for K-12 Households Bill Jackson, CEO 16
  • 17. State and City Data 17
  • 18. Data-Driven Cities How Wired Cities Use New Data •Optimize operations •Monitor infrastructure conditions •Plan infrastructure •Public health •Emergency management 18
  • 19. State and City Data • • • • Metro Chicago Data New York: The Mayor’s Geek Squad Code for Philly Palo Alto’s open finances 19
  • 20. State and City Data City Data: Next Bus for Commuters
  • 21. State and City Data Sim City Meets Participatory Budgeting
  • 22. State and City Data DC’s Experiment: A City Report Card Washington Mayor Vincent Gray 22
  • 23. State and City Data • Sharing personal data for public good • Pulse Point: “Enabling Citizen Superheroes” 23
  • 24. Open Data Shapes Reputation and Brands
  • 25. Reputation and Brands Social Media: 2 Billion Tweets a Week 25
  • 26. Reputation and Brands The Reputation Police Michael Fertik, CEO 26
  • 27. Reputation and Brands Sentiment Analysis: Emotion Meets Computation 27
  • 28. Reputation and Brands Open Data from Consumer Complaints Courtney Powell and A.J. Fouty, cofounders 28
  • 32. Driving Business Growth Open Data Fuels Businesses in All Sectors Health Education Financial Services Energy Use Transportation 32
  • 33. Driving Business Growth From Weather Insurance to Green Revolution Climate Corporation offices in San Francisco 33
  • 34. Driving Business Growth 40K Public Companies, Updated Daily 34
  • 35. Driving Business Growth Healthcare: The Next Big Frontier? 35
  • 37. Driving Business Growth Data for Energy Savings Ogi Kavazovic, VP Marketing & Strategy 37
  • 38. Driving Business Growth Managing Open Data: A Winning Strategy 38
  • 39. Finding the Value: The Open Data 500
  • 40. Open Data 500 What’s the Value of Open Data? • • • • • • McKinsey study: $3 trillion annually worldwide 30 to 140 billion euros for Europe’s public sector data 2 to 9 billion British pounds $30 billion for U.S. weather data Tens of billions for U.S. GPS data Hundreds of billions for U.S. health data 40
  • 42. Open Data 500 Open Data 500: Assessing the Value Rigorously • Criteria: – U.S. based – National or regional scale (mostly federal data) – Open Data must be key to business • • • • More than 500 companies contacted so far Wide range of sectors covered Partnering with Open Data Institute to replicate in the U.K. Interest from 15 other countries at Open Government Partnership www.OpenData500.com 42
  • 44. Big Data and HR Prasanna Tambe NYU Stern School of Business ptambe@stern.nyu.edu Leading with Data: Boost Your ROI with Open and Big Data February 26, 2014
  • 45. Existing sources of HR data • Data collected during recruiting, hiring • • Data routinely collected by organizations • • employment histories (resumes), skills, interview and test evaluations performance reviews, task and project evaluations Administrative labor market data • regional and industry data on skills, wages, occupations
  • 46. But “digital breadcrumbs” are creating a data revolution (courtesy Erik Brynjolfsson) Clickstream/Page views/Web transactions Email messages Mobile phone/GPS/Location data Web links/Blog references/Facebook Google/Bing/Yahoo Searches ERP/CRM/SCM transactions RFID (Radio Frequency Identification), Bar Code Data Real-time machinery diagnostics/engines/equipment Stock market transactions Twitter feeds Wikipedia updates Online Databases of resumes
  • 47. Emerging sources of HR and workforce data • Online/Internet data • • Digital traces from work activities • • internal knowledge boards, internal corporate network activity, finegrained measures of project and task performance Social and physical network data • • labor market level information on skills and experience, discussion board posts, software and projects posted online employee referrals, person-to-person communications, sociometric badges, email networks, internal digital chatter, video and camera data Data generated through new assessment tools • online assessment (e.g. MOOCs), test-based video games
  • 48. Vast increase on data on spatial and temporal movements • Micro-measurement of personal productivity • Team productivity • Organizational productivity
  • 50. How can the big data "microscope" aid workforce related decisions? • Remove cognitive biases and reliance on intuition • W don't know what makes us productive (especially e information workers) • Enables quantification of the impact of HR-related decisions • W is our inability to retain engineers costing us? hat
  • 51. How are employers using analytics? now near future? • Predicting retention/turnover for high-skill employees • Where are we likely to have skill gaps in ten years? • How desk location affects information flows • What is the return on investment to a specific HR policy? • Using internal communications to predict employee performance • Can applicant profiles based on Internet data outperform traditional 'signals' (e.g. education)? • What (other) job titles predict success in the opening I am trying to fill?
  • 52. Lessons learned (so far) • Data is not a substitute for conceptualization • Knowing the right questions to ask (domain expertise) is critically important • The interest in analytics is likely to outpace results in the short-run as employers put the right pieces in place • But we are likely to see a significant increase in the number of ways data is used for HR-related decision-making within a few years
  • 53. Potential barriers to using analytics • A new generation of technical and analytic skills • Collection and management of new data sources • Policies regarding data collection and use (privacy)
  • 54. Questions? Don’t forget to sign up for the next event: http://bit.ly/mhpworksmarter Available in print and eBook

Editor's Notes

  1. I will plan to take about 20-25 minutes First 10 minutes on emerging types of data Last 10 minutes no how firms might use it Last 5 minutes on what employers should be thinking about Then we will shift to Q & A. TWO POINTS: Data that can be useful for HR decision-making is rapidly expanding! Some thoughts on what HR Professionals should be thinking about for a smooth transition
  2. Go quickly through these – there may be others, not meant to be a comprehensive list Firms already routinely use these …
  3. Digital traces of online activity have lead to an explosion in the availability of data of all types Great for social-science research and for data-driven decision-making. What’s new? 1. Evidence of on-the-job performance 2. Scale (hundreds of millions of observations)
  4. But these are new! An expanding world of data that are going to eventually be useful for HR-decision making. Useful for building applicant profiles and learning about candidates. (Privacy is important, but defer to later)
  5. The granularity of the data that is being recorded is the big shift here. Enables really fine-grained track of how and where and on what we are spending our time.
  6. An example-at the city level-of spatial and temporal mapping of people’s movements. Used the city level because it’s easy to visualize. Huge boon for urban planners and designers. Why can’t the same thing be done for organizations or for workflow?
  7. 1. Data helps us uncover insights about what is productive from a workflow standpoint. We don’t know how our email behavior, who we hear from, when we hear from them, message content, impact productivity, but the tools are becoming available that allow us to do that. Much of what we know relies on intuition, but much of that is wrong. This also applies to “life” productivity, not just productivity at work. 2. “you can manage what you can measure” … helps to provide economic metrics that can be useful for managerial decision-making
  8. The second is high-impact? What is the ROI on work-from-home? The last of these brings up an important point …. Is it good for workers?
  9. Without conceptualization, too much data can be a hindrance. It’s difficult to manage, and you are just awash in data. Lot of interest right now, but it may take some time to see results. This is nothing new. Technology cycles always involve a lot of upfront investment, and then 3-5 years later, results.
  10. (maybe skip)?