Big Data, Official Statistics and Social Science Research: Emerging Data Challenges

Size: px
Start display at page:

Download "Big Data, Official Statistics and Social Science Research: Emerging Data Challenges"

Transcription

1 Big Data, Official Statistics and Social Science Research: Emerging Data Challenges Professor Paul Cheung Director, United Nations Statistics Division

2 Building the Global Information System Elements of a Global Information System: Common Standard, Data Exchange Protocol, Quality Assurance Mechanism, Universal Dissemination Platform, Global Governance Arrangement; Working with National Statistical Offices to evolve a global statistical system -- Many achievements over 65 years; Now working with National Geospatial Information Authorities to evolve a global geospatial information platform with common practices and standards; Imperative to bring these two communities, and other data communities, together to advance an integrated system.

3 Big Data: A BIG Deal? Google search trend big data official statistics Source: Google Trends (as of 18 December 2012)

4 What is Big Data? No fixed definition, still debated Unstructured, Unregulated Four Vs: Volume: from Terabyte to Geopbyte Velocity: high speed of data in and out Variety: different formats, integration difficult Variability: data flows highly inconsistent Complexity: requires data cleansing, linking, and matching the data across systems

5 Multiple Sources of Data Social Everything! Networking Commenting Internet uses Online searches Online page-view Administrative Hospital visits Sales receipts Traffic monitoring Commercial Cell phone usages Credit card transactions Insurance records Product searches Health information Electronic medical records Medical monitoring Satellite imagery Monitoring systems

6 Google: Predicting the Present Source: Predicting the Present with Google Trends, Choi & Varian, April 2009

7 Hedonometrics and Twitter Source: Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter, Dodds et. al., 2011

8 National Mood (UK) and Twitter 25 16/11 04/ Normalized mood scores for JOY, SADNESS, ANGER and FEAR Source: Mood of Nation [Beta] (http://geopatterns.enm.bris.ac.uk/mood/)

9 Over 1,000,000 outpatient visits per year by MHC Asia Source: A. ONE THOUSAND CLINICS in Singapore B. Adopted by 90% of insurers in Singapore C. Linked by Web & Smartphone Apps D. Smartphone Apps Virtual membership card & clinic locator 1. Reports- Diagnosis, Financial & Statistical Data 2. Disease pattern & management 3. Infectious Disease Alert 4. Cost Control 5. Drugs usage data lead to bulk purchase 6. Sick Leave control 7. Audit & Frauds detection 8. Alerts (High Claim,Sick Leave Alert)

10 Electronic Road Pricing (Singapore)

11 Electronic Road Pricing (Singapore) Source: Interactive map ERP,

12 Big Data : Everywhere, Anywhere The amount of data grows rapidly (approximately 2.5 quintillion bytes created per day) Everything will be, in some sense, a geospatial beacon, referencing to or generating location information A hyper-connected environment-estimates suggest over 50 billion things connected by 2020.

13 Real-time Tracking of Population Movement Regular July 4 Macy s firework Hypothetical data

14 Big Data Are they Really Useful? A lot of hype, but used mainly in commercial and security applications Research and development work are ongoing with great potential Commercial applications developing the fastest Detecting fraud / Risk Generating consumer profile Reducing medical care cost Changing travelling and consumption patterns

15 New Data, New Methods Data deluge makes scientific methods obsolete?? Official statistics depends on classical statistical methods?? Are social science data models and methods obsolete??

16 Big Data vs Official Statistics Official Statistics are Structured Data with Unique Identity Population Characteristics Company Profits/Losses Population Census Survey of Companies Census Questionnaire Company Balance Sheet Statistical Analysis Statistical Analysis

17 Big Data and Social Sciences Research

18 Statistical vs Structural Inference

19 Incorporating Big Data in Official Statistics Could Big Data replace traditional data sources? Not reliable source at this moment Limitations (non-representativeness, unreliability) Important as collaborating evidence Huge potential: faster, cheaper data New data sources could replace traditional sources? Data-mining with multiple sources of data for new insights

20 Improving Data Sources in Official Statistics A lot of work has been done in official statistics: Common Standard, Data Exchange Protocol, Quality Assurance Mechanism, Universal Dissemination Platform New emphasis in Data Sources Multi-mode data collection Internet based surveys Administrative sources Too much emphasis on surveys and traditional approaches Imperative to review appropriateness of Big Data to assess fit for purpose of official statistics.

21 University of Michigan Consumer Sentiment Index: Google Prediction Consumer Sentiment Index Current Economic Condition Index Consumer Expectations Index Source: Consumer Sentiment with Google Trends, Choi, Google Inc. Conference on Empirical Macroeconomics Using Geographical Data, March 2011

22 Predicting Consumer Sentiment Index Jan-04 May-04 Sep-04 Jan-05 May-05 Sep-05 Jan-06 May-06 Sep-06 Jan-07 May-07 Sep-07 Jan-08 May-08 Sep-08 Jan-09 May-09 Sep-09 Jan-10 May-10 Sep-10 Jan-11 May-11 Sep-11 Jan-12 May-12 Consumer Sentiment Index Google Search - Starbucks Franchise

23 Google Trend and Unemployment Rate Source: Consumer Sentiment with Google Trends, Choi, Google Inc. Conference on Empirical Macroeconomics Using Geographical Data, March 2011

24 Predicting Insurance Claims Initial claim of Unemployment Insurance Google search unemployment+social security+welfare

25 The Billion Prices MIT Pricing Behavior: What drives price stickiness around the world? How much can be explained by current inflation, and inflation histories? How much by competition and industries structure? Daily Inflation and Asset Prices: Construct daily inflation indexes across countries and sectors and study their ability to match official statistics. Pass-Through: How much do prices adjust internally when the exchange rate, or the international price of commodities change? Markups: What premium is paid in stores for green or organic products? With data from multinational retailers, compute premium differences -for exactly the same items- in different places. The Billion Prices MIT,

26 Argentina Aggregate Inflation Series Source:

27 Mobile Phone Positioning Data for Tourism Statistics Source: Mobile Telephones and Mobile Positioning data as source for statistics: Estonian Experiences, Ahas et. Al. (2011)

28 Source: Intuit Small Business Employment Indexes

29 Big Data as Data Source for Research Traditional Data on Social Network Big Data on Social Network Snow-ball approach, from person to person, rich information on inter-personal relations Large number of people and connections Source: Reality Mining,

30 Real-time Community Crime Data Source: https://www.crimereports.com/

31 Big Data and Representativeness What is the population? Who generates the data? Can we draw a sample and infer population traits? Patterns may reflect what is happening but the reference population is not clear Inferential Statistics not possible; hence the use of non-parametric analytics

32 Big Data: Who Generates the Data? Representative? Demographics of Twitter Users Source: The State of Twitter 2012 [STATS], 3 August 2012

33 Big Data and Social Reality Does Big Data reflect social reality Do the data reveal random or real patterns? Are the data representative? What is the real meaning of the data? Do the data reflect social patterns or structures? An example: Social network study Articulated social networks list of friends on Facebook Behavioural network communication patterns and cell coordinates

34 Big Data and Verifiability Can the data be verified and re-tested? Many big data are considered private, not available to larger academic community for repeated analysis Equal data access needed for Making scientific replication studies Preventing fraudulent publications

35 Big Data and Confidentiality Confidentiality a big issue. Traditional anonymization might not work well Geocoding statistical information creates new concerns Sharing continuous time and cell phone location information from a city is a problem Google privacy policy update (1 March 2012): linking a person via multiple Google products collecting across platforms information on health, political opinions and financial concerns Demands for precise, location-based information pushes the boundary of confidentiality

36 New types of research data about human behavior and society pose many opportunities if crucial infrastructural challenges are tackled. G King Science 2011;331:

37 Using Big Data in Social Science New Tools and Procedures required for: Data preparation/cleaning Data reduction Data mining Searching for patterns and/or relationships Building the best model Apllying the best model to a new dataset to classify or estimate (machine learning) How/what to teach the machine?

38 Big Data and Computational Challenge Computational challenge Generating manageable structured data from unstructured data Integrating big data processing with statistical analysis tools

39 Learning to Use Big Data Training required Nonstandard data types Computational methods Protection of data confidentiality Legal protocols Data sharing norms Statistical tools

40 The Way Forward Big Data will become more prominent in years to come. Statisticians and Social Scientists should take advantage of new data source. Computation and quantitative analytical skills become important. Data must generate insights and knowledge: This is the ultimate goal. We must decipher truth vs falsehood.

Statistical Challenges with Big Data in Management Science

Statistical Challenges with Big Data in Management Science Statistical Challenges with Big Data in Management Science Arnab Kumar Laha Indian Institute of Management Ahmedabad Analytics vs Reporting Competitive Advantage Reporting Prescriptive Analytics (Decision

More information

Big Data and Open Data

Big Data and Open Data Big Data and Open Data Bebo White SLAC National Accelerator Laboratory/ Stanford University!! bebo@slac.stanford.edu dekabytes hectobytes Big Data IS a buzzword! The Data Deluge From the beginning of

More information

CSC590: Selected Topics BIG DATA & DATA MINING. Lecture 2 Feb 12, 2014 Dr. Esam A. Alwagait

CSC590: Selected Topics BIG DATA & DATA MINING. Lecture 2 Feb 12, 2014 Dr. Esam A. Alwagait CSC590: Selected Topics BIG DATA & DATA MINING Lecture 2 Feb 12, 2014 Dr. Esam A. Alwagait Agenda Introduction What is Big Data Why Big Data? Characteristics of Big Data Applications of Big Data Problems

More information

Big Data / FDAAWARE. Rafi Maslaton President, cresults the maker of Smart-QC/QA/QD & FDAAWARE 30-SEP-2015

Big Data / FDAAWARE. Rafi Maslaton President, cresults the maker of Smart-QC/QA/QD & FDAAWARE 30-SEP-2015 Big Data / FDAAWARE Rafi Maslaton President, cresults the maker of Smart-QC/QA/QD & FDAAWARE 30-SEP-2015 1 Agenda BIG DATA What is Big Data? Characteristics of Big Data Where it is being used? FDAAWARE

More information

BIG DATA FUNDAMENTALS

BIG DATA FUNDAMENTALS BIG DATA FUNDAMENTALS Timeframe Minimum of 30 hours Use the concepts of volume, velocity, variety, veracity and value to define big data Learning outcomes Critically evaluate the need for big data management

More information

Danny Wang, Ph.D. Vice President of Business Strategy and Risk Management Republic Bank

Danny Wang, Ph.D. Vice President of Business Strategy and Risk Management Republic Bank Danny Wang, Ph.D. Vice President of Business Strategy and Risk Management Republic Bank Agenda» Overview» What is Big Data?» Accelerates advances in computer & technologies» Revolutionizes data measurement»

More information

Is big data the new oil fuelling development?

Is big data the new oil fuelling development? Is big data the new oil fuelling development? 12th National Convention on Statistics Manila, Philippines 2 October, 2013 Johannes Jütting PARIS21 Big data (2 The future? Linked data: Is this the future?..

More information

Data Refinery with Big Data Aspects

Data Refinery with Big Data Aspects International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 3, Number 7 (2013), pp. 655-662 International Research Publications House http://www. irphouse.com /ijict.htm Data

More information

The Next Wave of Data Management. Is Big Data The New Normal?

The Next Wave of Data Management. Is Big Data The New Normal? The Next Wave of Data Management Is Big Data The New Normal? Table of Contents Introduction 3 Separating Reality and Hype 3 Why Are Firms Making IT Investments In Big Data? 4 Trends In Data Management

More information

BIG DATA TECHNOLOGY. Hadoop Ecosystem

BIG DATA TECHNOLOGY. Hadoop Ecosystem BIG DATA TECHNOLOGY Hadoop Ecosystem Agenda Background What is Big Data Solution Objective Introduction to Hadoop Hadoop Ecosystem Hybrid EDW Model Predictive Analysis using Hadoop Conclusion What is Big

More information

Big Data Promises and Pitfalls David J. Hand Imperial College, London and Winton Capital Management Policy making in the Big Data Era 1

Big Data Promises and Pitfalls David J. Hand Imperial College, London and Winton Capital Management Policy making in the Big Data Era 1 Big Data Promises and Pitfalls David J. Hand Imperial College, London and Winton Capital Management July 2015 Policy making in the Big Data Era 1 The world of data is changing Not something which happens

More information

BUY BIG DATA IN RETAIL

BUY BIG DATA IN RETAIL BUY BIG DATA IN RETAIL Table of contents What is Big Data?... How Data Science creates value in Retail... Best practices for Retail. Case studies... 3 7 11 1. Social listening... 2. Cross-selling... 3.

More information

Big Data Hope or Hype?

Big Data Hope or Hype? Big Data Hope or Hype? David J. Hand Imperial College, London and Winton Capital Management Big data science, September 2013 1 Google trends on big data Google search 1 Sept 2013: 1.6 billion hits on big

More information

Smarter Analytics. Barbara Cain. Driving Value from Big Data

Smarter Analytics. Barbara Cain. Driving Value from Big Data Smarter Analytics Driving Value from Big Data Barbara Cain Vice President Product Management - Business Intelligence and Advanced Analytics Business Analytics IBM Software Group 1 Agenda for today 1 Big

More information

Collaborations between Official Statistics and Academia in the Era of Big Data

Collaborations between Official Statistics and Academia in the Era of Big Data Collaborations between Official Statistics and Academia in the Era of Big Data World Statistics Day October 20-21, 2015 Budapest Vijay Nair University of Michigan Past-President of ISI vnn@umich.edu What

More information

The Big Deal about Big Data. Mike Skinner, CPA CISA CITP HORNE LLP

The Big Deal about Big Data. Mike Skinner, CPA CISA CITP HORNE LLP The Big Deal about Big Data Mike Skinner, CPA CISA CITP HORNE LLP Mike Skinner, CPA CISA CITP Senior Manager, IT Assurance & Risk Services HORNE LLP Focus areas: IT security & risk assessment IT governance,

More information

Why big data? Lessons from a Decade+ Experiment in Big Data

Why big data? Lessons from a Decade+ Experiment in Big Data Why big data? Lessons from a Decade+ Experiment in Big Data David Belanger PhD Senior Research Fellow Stevens Institute of Technology dbelange@stevens.edu 1 What Does Big Look Like? 7 Image Source Page:

More information

5 Keys to Unlocking the Big Data Analytics Puzzle. Anurag Tandon Director, Product Marketing March 26, 2014

5 Keys to Unlocking the Big Data Analytics Puzzle. Anurag Tandon Director, Product Marketing March 26, 2014 5 Keys to Unlocking the Big Data Analytics Puzzle Anurag Tandon Director, Product Marketing March 26, 2014 1 A Little About Us A global footprint. A proven innovator. A leader in enterprise analytics for

More information

Industry Impact of Big Data in the Cloud: An IBM Perspective

Industry Impact of Big Data in the Cloud: An IBM Perspective Industry Impact of Big Data in the Cloud: An IBM Perspective Inhi Cho Suh IBM Software Group, Information Management Vice President, Product Management and Strategy email: inhicho@us.ibm.com twitter: @inhicho

More information

PALANTIR HEALTH. Maximizing data assets to improve quality, risk, and compliance. 100 Hamilton Ave, Suite 300 Palo Alto, California 94301

PALANTIR HEALTH. Maximizing data assets to improve quality, risk, and compliance. 100 Hamilton Ave, Suite 300 Palo Alto, California 94301 100 Hamilton Ave, Suite 300 Palo Alto, California 94301 helix@palantir.com www.palantir.com/health PALANTIR HEALTH Maximizing data assets to improve quality, risk, and compliance Palantir Health: Maximizing

More information

III Big Data Technologies

III Big Data Technologies III Big Data Technologies Today, new technologies make it possible to realize value from Big Data. Big data technologies can replace highly customized, expensive legacy systems with a standard solution

More information

Grand Challenges Making Drill Down Analysis of the Economy a Reality. John Haltiwanger

Grand Challenges Making Drill Down Analysis of the Economy a Reality. John Haltiwanger Grand Challenges Making Drill Down Analysis of the Economy a Reality By John Haltiwanger The vision Here is the vision. A social scientist or policy analyst (denoted analyst for short hereafter) is investigating

More information

Apache Hadoop Patterns of Use

Apache Hadoop Patterns of Use Community Driven Apache Hadoop Apache Hadoop Patterns of Use April 2013 2013 Hortonworks Inc. http://www.hortonworks.com Big Data: Apache Hadoop Use Distilled There certainly is no shortage of hype when

More information

Demystifying Big Data Government Agencies & The Big Data Phenomenon

Demystifying Big Data Government Agencies & The Big Data Phenomenon Demystifying Big Data Government Agencies & The Big Data Phenomenon Today s Discussion If you only remember four things 1 Intensifying business challenges coupled with an explosion in data have pushed

More information

Predictive Analytics & Business Insights 2015, Chicago. Mudit Mangal Project Lead, Data Analytics, Supply Chain Sears Holdings Corporation 06/11/2015

Predictive Analytics & Business Insights 2015, Chicago. Mudit Mangal Project Lead, Data Analytics, Supply Chain Sears Holdings Corporation 06/11/2015 Predictive Analytics & Business Insights 2015, Chicago Mudit Mangal Project Lead, Data Analytics, Supply Chain Sears Holdings Corporation 06/11/2015 Agenda WHAT IS HAPPENING WHAT ARE BENEFITS AND CHALLENGES

More information

BIG DATA I N B A N K I N G

BIG DATA I N B A N K I N G $ BIG DATA IN BANKING Table of contents What is Big Data?... How data science creates value in Banking... Best practices for Banking. Case studies... 3 7 10 1. Fraud detection... 2. Contact center efficiency

More information

Deploying Big Data to the Cloud: Roadmap for Success

Deploying Big Data to the Cloud: Roadmap for Success Deploying Big Data to the Cloud: Roadmap for Success James Kobielus Chair, CSCC Big Data in the Cloud Working Group IBM Big Data Evangelist. IBM Data Magazine, Editor-in- Chief. IBM Senior Program Director,

More information

Statistics for BIG data

Statistics for BIG data Statistics for BIG data Statistics for Big Data: Are Statisticians Ready? Dennis Lin Department of Statistics The Pennsylvania State University John Jordan and Dennis K.J. Lin (ICSA-Bulletine 2014) Before

More information

Big Data and utility function in bank services. Nikolay K. Vitanov 1

Big Data and utility function in bank services. Nikolay K. Vitanov 1 Big Data and utility function in bank services Selected aspects Nikolay K. Vitanov 1 1 Institute of Mechanics, Bulgarian Academy of Sciences Sofia, 16. 06. 2015 Vitanov (BAS) Big Data and utility function

More information

Big Data. What is Big Data? Over the past years. Big Data. Big Data: Introduction and Applications

Big Data. What is Big Data? Over the past years. Big Data. Big Data: Introduction and Applications Big Data Big Data: Introduction and Applications August 20, 2015 HKU-HKJC ExCEL3 Seminar Michael Chau, Associate Professor School of Business, The University of Hong Kong Ample opportunities for business

More information

Sustainable Development with Geospatial Information Leveraging the Data and Technology Revolution

Sustainable Development with Geospatial Information Leveraging the Data and Technology Revolution Sustainable Development with Geospatial Information Leveraging the Data and Technology Revolution Steven Hagan, Vice President, Server Technologies 1 Copyright 2011, Oracle and/or its affiliates. All rights

More information

Turning Big Data into a Big Opportunity

Turning Big Data into a Big Opportunity Customer-Centricity in a World of Data: Turning Big Data into a Big Opportunity Richard Maraschi Business Analytics Solutions Leader IBM Global Media & Entertainment Joe Wikert General Manager & Publisher

More information

IBM Customer Experience Suite and Predictive Analytics

IBM Customer Experience Suite and Predictive Analytics IBM Customer Experience Suite and Predictive Analytics Introduction to the IBM Customer Experience Suite In order to help customers meet their exceptional web experience goals in the most efficient and

More information

IBM's Fraud and Abuse, Analytics and Management Solution

IBM's Fraud and Abuse, Analytics and Management Solution Government Efficiency through Innovative Reform IBM's Fraud and Abuse, Analytics and Management Solution Service Definition Copyright IBM Corporation 2014 Table of Contents Overview... 1 Major differentiators...

More information

Analyzing Big Data: The Path to Competitive Advantage

Analyzing Big Data: The Path to Competitive Advantage White Paper Analyzing Big Data: The Path to Competitive Advantage by Marcia Kaplan Contents Introduction....2 How Big is Big Data?................................................................................

More information

BIG DATA : Big Opportunity or Big Threat for Official Statistics?* Jose Ramon G. Albert, Ph.D. Secretary General, NSCB Email: jrg.albert@nscb.gov.

BIG DATA : Big Opportunity or Big Threat for Official Statistics?* Jose Ramon G. Albert, Ph.D. Secretary General, NSCB Email: jrg.albert@nscb.gov. BIG DATA : Big Opportunity or Big Threat for Official Statistics?* Jose Ramon G. Albert, Ph.D. Secretary General, NSCB Email: jrg.albert@nscb.gov.ph 1 *Views expressed do not reflect those at NSCB Outline

More information

How to gather and evaluate information

How to gather and evaluate information 09 May 2016 How to gather and evaluate information Chartered Institute of Internal Auditors Information is central to the role of an internal auditor. Gathering and evaluating information is the basic

More information

1. Understanding Big Data

1. Understanding Big Data Big Data and its Real Impact on Your Security & Privacy Framework: A Pragmatic Overview Erik Luysterborg Partner, Deloitte EMEA Data Protection & Privacy leader Prague, SCCE, March 22 nd 2016 1. 2016 Deloitte

More information

Big Data at DST. Bill Nixon, Matt Crouch

Big Data at DST. Bill Nixon, Matt Crouch Big Data at DST Bill Nixon, Matt Crouch 2013 DST Systems, Inc. 2013 All rights DST Systems, reserved. Inc. All rights reserved. The enclosed materials are highly sensitive, proprietary and confidential.

More information

How to Leverage Big Data in the Cloud to Gain Competitive Advantage

How to Leverage Big Data in the Cloud to Gain Competitive Advantage How to Leverage Big Data in the Cloud to Gain Competitive Advantage James Kobielus, IBM Big Data Evangelist Editor-in-Chief, IBM Data Magazine Senior Program Director, Product Marketing, Big Data Analytics

More information

New Frontiers for Official Statistics

New Frontiers for Official Statistics European Data Forum 2015 November 16-17, 2015, Luxembourg New Frontiers for Official Statistics Mariana KOTZEVA EUROSTAT, Deputy Director General Key issues 1. A dynamically changing data ecosystem 2.

More information

Big Analytics: A Next Generation Roadmap

Big Analytics: A Next Generation Roadmap Big Analytics: A Next Generation Roadmap Cloud Developers Summit & Expo: October 1, 2014 Neil Fox, CTO: SoftServe, Inc. 2014 SoftServe, Inc. Remember Life Before The Web? 1994 Even Revolutions Take Time

More information

Big Data. Fast Forward. Putting data to productive use

Big Data. Fast Forward. Putting data to productive use Big Data Putting data to productive use Fast Forward What is big data, and why should you care? Get familiar with big data terminology, technologies, and techniques. Getting started with big data to realize

More information

CONSUMERLAB CONNECTED LIFESTYLES. An analysis of evolving consumer needs

CONSUMERLAB CONNECTED LIFESTYLES. An analysis of evolving consumer needs CONSUMERLAB CONNECTED LIFESTYLES An analysis of evolving consumer needs An Ericsson Consumer Insight Summary Report January 2014 Contents INTRODUCTION AND KEY FINDINGS 3 THREE MARKETS, THREE REALITIES

More information

Enhance Collaboration and Data Sharing for Faster Decisions and Improved Mission Outcome

Enhance Collaboration and Data Sharing for Faster Decisions and Improved Mission Outcome Enhance Collaboration and Data Sharing for Faster Decisions and Improved Mission Outcome Richard Breakiron Senior Director, Cyber Solutions Rbreakiron@vion.com Office: 571-353-6127 / Cell: 803-443-8002

More information

Analytics: The real-world use of big data

Analytics: The real-world use of big data Findings from the research collaboration of IBM Institute for Business Value and Saïd Business School, University of Oxford Analytics: The real-world use of big data How innovative enterprises extract

More information

Predicting & Preventing Banking Customer Churn by Unlocking Big Data

Predicting & Preventing Banking Customer Churn by Unlocking Big Data Predicting & Preventing Banking Customer Churn by Unlocking Big Data Making Sense of Big Data http://www.ngdata.com Predicting & Preventing Banking Customer Churn by Unlocking Big Data 1 Predicting & Preventing

More information

ATTORNEYS AT LAW ONLINE MARKETING MAGIC INSTALLMENT 2: THE COVER-UP IS WORSE THAN THE CRIME

ATTORNEYS AT LAW ONLINE MARKETING MAGIC INSTALLMENT 2: THE COVER-UP IS WORSE THAN THE CRIME SILVERMAN ADVISORS ATTORNEYS AT LAW CLIENT ALERT AUGUST 2014 ONLINE MARKETING MAGIC INSTALLMENT 2: THE COVER-UP IS WORSE THAN THE CRIME BY SCOTT A. SILVERMAN Are you still impressed when you hear that

More information

AT&T Location Information Services

AT&T Location Information Services AT&T Location Information Services Table of Contents What Can Location Technology Do For You AT&T Vision for Location Information Services AT&T LIS Overview and Delivery Model Location Technologies and

More information

big data in the European Statistical System

big data in the European Statistical System Conference by STATEC and EUROSTAT Savoir pour agir: la statistique publique au service des citoyens big data in the European Statistical System Michail SKALIOTIS EUROSTAT, Head of Task Force 'Big Data'

More information

Predicting & Preventing Banking Customer Churn by Unlocking Big Data

Predicting & Preventing Banking Customer Churn by Unlocking Big Data Predicting & Preventing Banking Customer Churn by Unlocking Big Data Customer Churn: A Key Performance Indicator for Banks In 2012, 50% of customers, globally, either changed their banks or were planning

More information

Netskope Cloud Report. Report Highlights. cloud report. Three of the top 10 cloud apps are Storage, and enterprises use an average of 26 such apps

Netskope Cloud Report. Report Highlights. cloud report. Three of the top 10 cloud apps are Storage, and enterprises use an average of 26 such apps cloud report JAN 2014 Netskope Cloud Report In the second Netskope Cloud Report, we ve compiled the most interesting trends on cloud app adoption and usage based on aggregated, anonymized data from the

More information

Healthcare Measurement Analysis Using Data mining Techniques

Healthcare Measurement Analysis Using Data mining Techniques www.ijecs.in International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 03 Issue 07 July, 2014 Page No. 7058-7064 Healthcare Measurement Analysis Using Data mining Techniques 1 Dr.A.Shaik

More information

Big Data for Social Good. Nuria Oliver, PhD Scientific Director User, Data and Media Intelligence Telefonica Research

Big Data for Social Good. Nuria Oliver, PhD Scientific Director User, Data and Media Intelligence Telefonica Research Big Data for Social Good Nuria Oliver, PhD Scientific Director User, Data and Media Intelligence Telefonica Research 6.8 billion subscriptions 96% of world s population (ITU) Mobile penetration of 120%

More information

Certification In SAS Programming. Introduction to SAS Program

Certification In SAS Programming. Introduction to SAS Program Certification In SAS Programming Introduction to SAS Program What Lies Ahead In this session, you will gain answers to: Overview of Analytics Careers in Analytics Why Use SAS? Introduction to SAS System

More information

Are You Ready for Big Data?

Are You Ready for Big Data? Are You Ready for Big Data? Jim Gallo National Director, Business Analytics April 10, 2013 Agenda What is Big Data? How do you leverage Big Data in your company? How do you prepare for a Big Data initiative?

More information

PREDICTIVE ANALYTICS IN FRAUD

PREDICTIVE ANALYTICS IN FRAUD PREDICTIVE ANALYTICS IN FRAUD Click Scott to White edit Master subtitle style Business Development Manager Why predict? Organizations that use predictive business performance metrics will increase their

More information

The future of Big Data A United Hitachi View

The future of Big Data A United Hitachi View The future of Big Data A United Hitachi View Alex van Die Pre-Sales Consultant 1 Oktober 2014 1 Agenda Evolutie van Data en Analytics Internet of Things Hitachi Social Innovation Vision and Solutions 2

More information

EVERYTHING THAT MATTERS IN ADVANCED ANALYTICS

EVERYTHING THAT MATTERS IN ADVANCED ANALYTICS EVERYTHING THAT MATTERS IN ADVANCED ANALYTICS Marcia Kaufman, Principal Analyst, Hurwitz & Associates Dan Kirsch, Senior Analyst, Hurwitz & Associates Steve Stover, Sr. Director, Product Management, Predixion

More information

How Financial Services Firms Can Benefit From Streaming Analytics

How Financial Services Firms Can Benefit From Streaming Analytics How Financial Services Firms Can Benefit From Streaming Analytics > 2 VITRIA TECHNOLOGY, INC. > How Financial Services Firms Can Benefit From Streaming Analytics Streaming Analytics: Why It s Important

More information

EXCLUSIVE INTERVIEW A BEHIND THE SCENES LOOK AT TELEFÓNICA S EVOLVING BIG DATA EXTERNAL MONETISATION MODEL

EXCLUSIVE INTERVIEW A BEHIND THE SCENES LOOK AT TELEFÓNICA S EVOLVING BIG DATA EXTERNAL MONETISATION MODEL We ve never told our in-depth story like this before: looking at the history, lessons learnt and the challenges faced on our Big Data journey. Lorraine Stone EXCLUSIVE INTERVIEW A BEHIND THE SCENES LOOK

More information

Big data, the future of statistics

Big data, the future of statistics Big data, the future of statistics Experiences from Statistics Netherlands Dr. Piet J.H. Daas Senior-Methodologist, Big Data research coordinator and Marco Puts, Martijn Tennekes, Alex Priem, Edwin de

More information

Big Data Executive Survey

Big Data Executive Survey Big Data Executive Full Questionnaire Big Date Executive Full Questionnaire Appendix B Questionnaire Welcome The survey has been designed to provide a benchmark for enterprises seeking to understand the

More information

Demystifying Big Data. James Rawlins Senior Consultant

Demystifying Big Data. James Rawlins Senior Consultant Demystifying Big Data James Rawlins Senior Consultant What s the Big Idea? Objectives for the session Understand what is meant by Big Data Provide some context around what is Big Are we big? Understand

More information

Using Location Information For Better Planning and Decision Support: Integrating Big Data, Official Statistics, Geo-information

Using Location Information For Better Planning and Decision Support: Integrating Big Data, Official Statistics, Geo-information Using Location Information For Better Planning and Decision Support: Integrating Big Data, Official Statistics, Geo-information Rapid Information for Public Policy Increasing demand for information in

More information

W H I T E P A P E R. Deriving Intelligence from Large Data Using Hadoop and Applying Analytics. Abstract

W H I T E P A P E R. Deriving Intelligence from Large Data Using Hadoop and Applying Analytics. Abstract W H I T E P A P E R Deriving Intelligence from Large Data Using Hadoop and Applying Analytics Abstract This white paper is focused on discussing the challenges facing large scale data processing and the

More information

Big data The three-minute guide

Big data The three-minute guide Big data The three-minute guide Don t squint. Select the full-screen option to view at full size. Big Data The three-minute guide 1 2 What is big data? It s about insight Big data generally refers to datasets

More information

Big Data for Development: What May Determine Success or failure?

Big Data for Development: What May Determine Success or failure? Big Data for Development: What May Determine Success or failure? Emmanuel Letouzé letouze@unglobalpulse.org OECD Technology Foresight 2012 Paris, October 22 Swimming in Ocean of data Data deluge Algorithms

More information

Big Data better business benefits

Big Data better business benefits Big Data better business benefits Paul Edwards, HouseMark 2 December 2014 What I ll cover.. Explain what big data is Uses for Big Data and the potential for social housing What Big Data means for HouseMark

More information

How Big Is Big Data Adoption? Survey Results. Survey Results... 4. Big Data Company Strategy... 6

How Big Is Big Data Adoption? Survey Results. Survey Results... 4. Big Data Company Strategy... 6 Survey Results Table of Contents Survey Results... 4 Big Data Company Strategy... 6 Big Data Business Drivers and Benefits Received... 8 Big Data Integration... 10 Big Data Implementation Challenges...

More information

The Changing Face of Mobile Customer Engagement

The Changing Face of Mobile Customer Engagement The Changing Face of Mobile Customer Engagement Sheryl Kingstone, Research Director, Yankee Group Mobile Research Summit: Data & Insights 2014 June 19, 2014 Page 1 Copyright 2014 Agenda Why Mobile is Changing

More information

Social Media Marketing for Local Businesses

Social Media Marketing for Local Businesses Social Media Marketing for Local Businesses The average number of hours a U.S. consumer spends on social media per week. - PQ Media, 2013 Social is the Norm A lot has changed in the 10 years since Facebook

More information

The Principles of the Business Data Lake

The Principles of the Business Data Lake The Principles of the Business Data Lake The Business Data Lake Culture eats Strategy for Breakfast, so said Peter Drucker, elegantly making the point that the hardest thing to change in any organization

More information

Bringing Strategy to Life Using an Intelligent Data Platform to Become Data Ready. Informatica Government Summit April 23, 2015

Bringing Strategy to Life Using an Intelligent Data Platform to Become Data Ready. Informatica Government Summit April 23, 2015 Bringing Strategy to Life Using an Intelligent Platform to Become Ready Informatica Government Summit April 23, 2015 Informatica Solutions Overview Power the -Ready Enterprise Government Imperatives Improve

More information

Value of. Clinical and Business Data Analytics for. Healthcare Payers NOUS INFOSYSTEMS LEVERAGING INTELLECT

Value of. Clinical and Business Data Analytics for. Healthcare Payers NOUS INFOSYSTEMS LEVERAGING INTELLECT Value of Clinical and Business Data Analytics for Healthcare Payers NOUS INFOSYSTEMS LEVERAGING INTELLECT Abstract As there is a growing need for analysis, be it for meeting complex of regulatory requirements,

More information

Experian Cross Channel Marketing Platform. Managing campaigns and reaching consumers in real time

Experian Cross Channel Marketing Platform. Managing campaigns and reaching consumers in real time Experian Cross Channel Marketing Platform Managing campaigns and reaching consumers in real time The relationship between brands and customers has fundamentally changed. Whereas once there was equilibrium

More information

Mobile Experience Benchmark. Crittercism

Mobile Experience Benchmark. Crittercism Crittercism 2 Key Takeaways Mobile App Complexity App Responsiveness App Uptime (Crash) Mobile app performance is challenging with over 100M permutations of variables to manage. To be competitive, your

More information

Banking On A Customer-Centric Approach To Data

Banking On A Customer-Centric Approach To Data Banking On A Customer-Centric Approach To Data Putting Content into Context to Enhance Customer Lifetime Value No matter which company they interact with, consumers today have far greater expectations

More information

Busin i ess I n I t n e t ll l i l g i e g nce c T r T e r nds For 2013

Busin i ess I n I t n e t ll l i l g i e g nce c T r T e r nds For 2013 Business Intelligence Trends For 2013 10 Trends The last few years the change in Business Intelligence seems to accelerate under the pressure of increased business demand and technology innovations. Here

More information

IBM Business Analytics software for Insurance

IBM Business Analytics software for Insurance IBM Business Analytics software for Insurance Nischal Kapoor Global Insurance Leader - APAC 2 Non-Life Insurance in Thailand Rising vehicle sales and mandatory motor third-party insurance supported the

More information

SOCIAL MEDIA MONITORING AND SENTIMENT ANALYSIS SYSTEM

SOCIAL MEDIA MONITORING AND SENTIMENT ANALYSIS SYSTEM Kuwait National Assembly Media Department SOCIAL MEDIA MONITORING AND SENTIMENT ANALYSIS SYSTEM Dr. Salah Alnajem Associate Professor of Computational Linguistics and Natural Language Processing, Kuwait

More information

Improving customer service with data 19 may 2015 Maarten Jonker Leiden

Improving customer service with data 19 may 2015 Maarten Jonker Leiden Improving customer service with data 19 may 2015 Maarten Jonker Leiden Contents Introduction Our approach Our practice Increasing our understanding of data and using knowledge Achmea s digital-first principles

More information

Discover How a 360-Degree View of the Customer Boosts Productivity and Profits. eguide

Discover How a 360-Degree View of the Customer Boosts Productivity and Profits. eguide Discover How a 360-Degree View of the Customer Boosts Productivity and Profits eguide eguide Discover How a 360-Degree View of the Customer Boosts Productivity and Profits A guide on the benefits of using

More information

Software Engineering for Big Data. CS846 Paulo Alencar David R. Cheriton School of Computer Science University of Waterloo

Software Engineering for Big Data. CS846 Paulo Alencar David R. Cheriton School of Computer Science University of Waterloo Software Engineering for Big Data CS846 Paulo Alencar David R. Cheriton School of Computer Science University of Waterloo Big Data Big data technologies describe a new generation of technologies that aim

More information

Data Analytics in Organisations and Business

Data Analytics in Organisations and Business Data Analytics in Organisations and Business Dr. Isabelle E-mail: isabelle.flueckiger@math.ethz.ch 1 Data Analytics in Organisations and Business Some organisational information: Tutorship: Gian Thanei:

More information

The Rise of Industrial Big Data

The Rise of Industrial Big Data GE Intelligent Platforms The Rise of Industrial Big Data Leveraging large time-series data sets to drive innovation, competitiveness and growth capitalizing on the big data opportunity The Rise of Industrial

More information

The Challenges of Geospatial Analytics in the Era of Big Data

The Challenges of Geospatial Analytics in the Era of Big Data The Challenges of Geospatial Analytics in the Era of Big Data Dr Noordin Ahmad National Space Agency of Malaysia (ANGKASA) CITA 2015: 4-5 August 2015 Kuching, Sarawak Big datais an all-encompassing term

More information

The Potential of Big Data in the Cloud. Juan Madera Technology Consultant juan.madera.jimenez@accenture.com

The Potential of Big Data in the Cloud. Juan Madera Technology Consultant juan.madera.jimenez@accenture.com The Potential of Big Data in the Cloud Juan Madera Technology Consultant juan.madera.jimenez@accenture.com Agenda How to apply Big Data & Analytics What is it? Definitions, Technology and Data Science

More information

Utilizing big data to bring about innovative offerings and new revenue streams DATA-DERIVED GROWTH

Utilizing big data to bring about innovative offerings and new revenue streams DATA-DERIVED GROWTH Utilizing big data to bring about innovative offerings and new revenue streams DATA-DERIVED GROWTH ACTIONABLE INTELLIGENCE Ericsson is driving the development of actionable intelligence within all aspects

More information

Location-Based Social Media Intelligence

Location-Based Social Media Intelligence Location-Based Social Media Intelligence ASIS Middle East Conference Dubai, UAE February 23, 2016 Don Zoufal CrowZnest Consulting, Inc. University of Chicago Presenter Donald R. Zoufal, C.P.P., ICAO AVSEC

More information

The New Normal: Get Ready for the Era of Extreme Information Management. John Mancini President, AIIM @jmancini77 DigitalLandfill.

The New Normal: Get Ready for the Era of Extreme Information Management. John Mancini President, AIIM @jmancini77 DigitalLandfill. The New Normal: Get Ready for the Era of Extreme Information Management John Mancini President, AIIM @jmancini77 DigitalLandfill.org Giving Credit Where Credit is Due I didn t make up the term Extreme

More information

Big Data is Changing Business

Big Data is Changing Business Big Data is Changing Business Opportunities and Challenges The Regent Hotel, Beijing, China 20 th November, 2012 Presented by: Craig Stires, Research Director, IDC Asia/Pacific @Craig_IDC Copyright IDC.

More information

Big Data & Analytics. The. Deal. About. Jacob Büchler jbuechler@dk.ibm.com Cand. Polit. IBM Denmark, Solution Exec. 2013 IBM Corporation

Big Data & Analytics. The. Deal. About. Jacob Büchler jbuechler@dk.ibm.com Cand. Polit. IBM Denmark, Solution Exec. 2013 IBM Corporation The Big Data & Analytics Deal About Jacob Büchler jbuechler@dk.ibm.com Cand. Polit. IBM Denmark, Solution Exec. 1 Big Data is All Data from Everywhere Big Data Is Becoming The Next Natural Resource We

More information

Kai Wähner. The Next-Generation BPM for a Big Data World: Intelligent Business Process Management Suites (ibpms)

Kai Wähner. The Next-Generation BPM for a Big Data World: Intelligent Business Process Management Suites (ibpms) The Next-Generation BPM for a Big Data World: Intelligent Business Process Management Suites (ibpms) Kai Wähner kontakt@kai-waehner.de @KaiWaehner www.kai-waehner.de Xing / LinkedIn Please connect! Kai

More information

Big Data-Challenges and Opportunities

Big Data-Challenges and Opportunities Big Data-Challenges and Opportunities White paper - August 2014 User Acceptance Tests Test Case Execution Quality Definition Test Design Test Plan Test Case Development Table of Contents Introduction 1

More information

Paid Search Services

Paid Search Services Paid Search Services Results-driven, mathematical PPC Pay Per Click advertising is widely acknowledged as the most powerful form of direct marketing. Not only are you gaining access to people that want

More information

COULD VS. SHOULD: BALANCING BIG DATA AND ANALYTICS TECHNOLOGY WITH PRACTICAL OUTCOMES

COULD VS. SHOULD: BALANCING BIG DATA AND ANALYTICS TECHNOLOGY WITH PRACTICAL OUTCOMES COULD VS. SHOULD: BALANCING BIG DATA AND ANALYTICS TECHNOLOGY The business world is abuzz with the potential of data. In fact, most businesses have so much data that it is difficult for them to process

More information

SMARTPHONES & BIG DATA. Daniel Nelson Head of Enterprise Development, Braintree @DanielROINelson daniel.nelson@braintreepayments.

SMARTPHONES & BIG DATA. Daniel Nelson Head of Enterprise Development, Braintree @DanielROINelson daniel.nelson@braintreepayments. SMARTPHONES & BIG DATA Daniel Nelson Head of Enterprise Development, Braintree @DanielROINelson daniel.nelson@braintreepayments.com TODAY WE LL COVER 1. Why smartphones represent a significant enabler

More information