Big Data & Analytics: Your concise guide (note the irony) Wednesday 27th November 2013

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Big Data & Analytics: Your concise guide (note the irony) Wednesday 27th November 2013"

Transcription

1 Big Data & Analytics: Your concise guide (note the irony) Wednesday 27th November 2013

2 Housekeeping 1. Any questions coming out of today s presentation can be discussed in the bar this evening 2. OCF is sponsoring the networking session with drinks and nibbles

3 Big Data Confused? In 2012 the Experton Group carried out a study, on behalf of BT Germany GmbH & Co, on the question of how big data is changing business and IT. The study, Data Explosion in Business IT, was carried with 100 decision makers working at companies with more than 500 employees An accredited researcher working for a global company Using an informed, if small, dataset A total of 67% agree or strongly agree that Big Data is Marketing Hype yet in the same group 79% agree or strongly agree that Big Data is a New Generation of Database and Analytics Technology

4 What is Big Data?

5 The 3 Vs represented graphically In 2001 Doug Laney defined data growth challenges and opportunities as being three dimensional, i.e. increasing Volume (amount of data), Velocity (speed of data in and out), and Variety (range of data types and sources). Since then many vendors and pundits have attempted to enhance his definition with clever(?) Vs of their own. However, the 3Vs were intended to define the proportional dimensions and challenges specific to big data, other Vs like veracity, validity, value, viability, etc. are aspirational qualities of all data, not defining qualities of big data

6 Characteristics of Big Data Characteristics Volume Velocity Variety 1 Description The sheer amount of data generated or data intensity that must be ingested, analysed and managed to make decisions based on complete data analysis Atrribute Driver Increase in data sources, According to IDC's Digital Universe Study, the world's higher resolution sensors "digital universe" is in the process of gathering zettabytes of information with continuing exponential growth projecting to 35 zettabytes in 2020 How fast data is being produced and changed and the speed with which data must be received, understood and processed Accessibility information Increase in data sources Improved throughput when, where and how the user wants it, at the point of connectivity Enhanced computing impact power of data generating Applicable relevant, valuable information for an devices enterprise at a torrential pace becomes a rela time phenomenon Time Value real time analysis yields improved data driven decisions The rise of information coming Structured 15% of data Mobile from new sources both inside today is structured with Social Media and outside the confines of the rows and columns Videos enterprise or organisation Chat Unstructured 85% is creates management, Genomics unstructured or human governance and architectural generated information Sensors pressures on IT Semi structured the combination of structured and unstructured data is becoming paramount Complexity where data sources are moving and residing 21 Zettabyte = bytes or 10

7 Big Data landscape Mind Map courtesy of Gary Crawford

8 Some use cases E tailing Recommendation engines Cross channel sales attribution, average order value, lifetime value Event analytics what series of steps (golden path) led to a desired outcome (e.g., purchase, registration) Financial Services Compliance and regulatory reporting. Risk analysis and management. Fraud detection and security analytics. CRM and customer loyalty programs. Credit scoring and analysis. Trade surveillance. Government Fraud detection and cyber security. Compliance and regulatory analysis. Energy consumption and carbon footprint management Manufacturing Predictive maintenance scheduling. Product design and modification Asset monitoring Fault logging and cost predictions (motor manufacturing) Academia Student Retention Research data publication (via Hadoop cluster) Collaborative research with external organisations in: Ecological projects Design projects Patient care & diagnosis Utilities Smart metres Energy use prediction Health & Life Sciences Campaign and sales program optimization. Brand management. Patient care quality and program analysis. Supply chain management. Drug discovery and development analysis. Retail/CPG Merchandizing and market basket analysis. Campaign management and customer loyalty programs. Supply chain management and analytics. Event and behaviour based targeting Mood mapping Telecommunications Revenue assurance and price optimization Customer churn prevention Campaign management and customer loyalty Call Detail Record (CDR) analysis Network performance and optimization. Web & Digital Media Services Large scale clickstream analytics Ad targeting, analysis, forecasting and optimization Abuse and click fraud prevention Social graph analysis and profile segmentation Campaign management and loyalty programs Policing Suspect tracking combining CCTV images, facial recognition software, travel trends and identifiers on travel cards Event Prediction

9 Big Data in action Google Flu Trends ( In 2009 Google was able apply big data to search terms run through its search engine to track the spread of the H1N1 pandemic and here s how they did it: First, researchers at Google obtained data from the Center for Disease Control and Prevention (CDC) regarding the spread of the seasonal flu between 2003 and Next, the researchers took the 50 million most common search terms punched into their search engine, and traced where and when they were punched in during the flu seasons between 2003 and The researchers then plugged both data sets into their computers to look for correlations. As the authors explain, all their system did was look for correlations between the frequency of certain search queries and the spread of the flu over time and space. In total, they processed a staggering 450 million different mathematical models in order to test the search terms... And they struck gold: their software found a combination of 45 search terms that, when used together in a mathematical model, had a strong correlation between their prediction and the official figures nationwide. Then, in 2009, when the H1N1 flu pandemic struck, Google used its predictive model, together with the search terms that were being registered in its search engine in real time, to track the spread of the virus. It worked like a charm. As was reported at the time, when the H1N1 crisis struck in 2009, Google s system proved to be a more useful and timely indicator than government statistics with their natural reporting lags. Now, the H1N1 virus did not turn out to be as deadly as many predicted. Nevertheless, there is no guarantee that we will be so fortunate with future flu pandemics. Should we ever find ourselves up against a very deadly flu pandemic, Google s predictive model could end up saving many, many lives

10 MSc Big Data Sheffield Hallam University Developed in response to a need from Business. Highly practical and skills oriented. Utilises industry leading software packages. Partnered with Industry to give real experience & real challenges to students. Semester 1 Semester 2 Semester 3 Data Quality, Data Mining, Handling Data in the Cloud, Statistical Modelling, Social & Economical aspects Advanced Statistical Modelling, Big Data & Distributed of Cloud Dissertation, Vendor Certification Vendor Certification Systems

11 Chris Brown Consultant Data Analytics OCF Plc

12

13 Definitions of Big Data from various influential organisations 1. Gartner. In 2001, a Meta (now Gartner) report noted the increasing size of data, the increasing rate at which it is produced and the increasing range of formats and representations employed. This report predated the term dig data but proposed a three fold definition encompassing the three Vs : Volume, Velocity and Variety.This idea has since become popular and sometimes includes a fourth V: veracity, to cover questions of trust and uncertainty. 2. Oracle. Big data is the derivation of value from traditional relational database driven business decision making, augmented with new sources of unstructured data. 3. Intel. Big data opportunities emerge in organizations generating a median of 300 terabytes of data a week. The most common forms of data analyzed in this way are business transactions stored in relational databases, followed by documents, e mail, sensor data, blogs, and social media. 4. Microsoft. Big data is the term increasingly used to describe the process of applying serious computing power the latest in machine learning and artificial intelligence to seriously massive and often highly complex sets of information. 5. The Method for an Integrated Knowledge Environment open source project. The MIKE project argues that big data is not a function of the size of a data set but its complexity. Consequently, it is the high degree of permutations and interactions within a data set that defines big data. 6. The National Institute of Standards and Technology. NIST argues that big data is data which exceed(s) the capacity or capability of current or conventional methods and systems. In other words, the notion of big is relative to the current standard of computation.

14 What is Big Data?

Applying Process Mining to IT Big Data

Applying Process Mining to IT Big Data Approved for Public Release; Distribution Unlimited. 14-0899 Applying Process Mining to IT Big Data Richard F. Eng PRINCE2, PMP, CSQE, CRE, CQE 14 March 2014 The author s affiliation with The MITRE Corporation

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

Big Data Analytics: Collecting, Analyzing and Decision Making

Big Data Analytics: Collecting, Analyzing and Decision Making Big Data Analytics: Collecting, Analyzing and Decision Making Defining Big Data Jennifer Jones, Senior Indirect Sales Manager, CBTS Thought Leader Definitions Oracle - Derivation of value from traditional,

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

www.pwc.com/oracle Next presentation starting soon Business Analytics using Big Data to gain competitive advantage

www.pwc.com/oracle Next presentation starting soon Business Analytics using Big Data to gain competitive advantage www.pwc.com/oracle Next presentation starting soon Business Analytics using Big Data to gain competitive advantage If every image made and every word written from the earliest stirring of civilization

More information

International Journal of Advancements in Research & Technology, Volume 3, Issue 5, May-2014 18 ISSN 2278-7763. BIG DATA: A New Technology

International Journal of Advancements in Research & Technology, Volume 3, Issue 5, May-2014 18 ISSN 2278-7763. BIG DATA: A New Technology International Journal of Advancements in Research & Technology, Volume 3, Issue 5, May-2014 18 BIG DATA: A New Technology Farah DeebaHasan Student, M.Tech.(IT) Anshul Kumar Sharma Student, M.Tech.(IT)

More information

The Big Data Paradigm Shift. Insight Through Automation

The Big Data Paradigm Shift. Insight Through Automation The Big Data Paradigm Shift Insight Through Automation Agenda The Problem Emcien s Solution: Algorithms solve data related business problems How Does the Technology Work? Case Studies 2013 Emcien, Inc.

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

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

Hadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012. Viswa Sharma Solutions Architect Tata Consultancy Services

Hadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012. Viswa Sharma Solutions Architect Tata Consultancy Services Hadoop Beyond Hype: Complex Adaptive Systems Conference Nov 16, 2012 Viswa Sharma Solutions Architect Tata Consultancy Services 1 Agenda What is Hadoop Why Hadoop? The Net Generation is here Sizing the

More information

BIG DATA. - How big data transforms our world. Kim Escherich Executive Innovation Architect, IBM Global Business Services

BIG DATA. - How big data transforms our world. Kim Escherich Executive Innovation Architect, IBM Global Business Services BIG DATA - How big data transforms our world Kim Escherich Executive Innovation Architect, IBM Global Business Services 1 2 What happens? What is data? 340.282.366.920.938.463.463.374.607.431.768.211.456

More information

Business Analytics. Gaining the Advantage

Business Analytics. Gaining the Advantage Business Analytics Gaining the Advantage Clients Collective Intelligence is one of 100 partners Nationally Surfacing Previously Siloed Data Allow Users Direct Access to Data Streamline Business Practices

More information

DEVELOP INSIGHT DRIVEN CUSTOMER EXPERIENCES USING BIG DATA AND ADAVANCED ANALYTICS

DEVELOP INSIGHT DRIVEN CUSTOMER EXPERIENCES USING BIG DATA AND ADAVANCED ANALYTICS DEVELOP INSIGHT DRIVEN CUSTOMER EXPERIENCES USING BIG DATA AND ADAVANCED ANALYTICS by Dave Nash and Mazen Ghalayini; Contributions by Valentin Grasparil This whitepaper is the second in a 3-part series

More information

Big Data lisää älyä tiedosta

Big Data lisää älyä tiedosta 2011 Tieto Corporation Big Data lisää älyä tiedosta ebusiness Forum 21.5.2013 Ilkka Korkiakoski VP Financial Services Agenda Megatrends and needs for Big Data What is the value of Big Data? Use scenarios

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 February 11, 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

TECHNIQUES FOR OPTIMIZING THE RELATIONSHIP BETWEEN DATA STORAGE SPACE AND DATA RETRIEVAL TIME FOR LARGE DATABASES

TECHNIQUES FOR OPTIMIZING THE RELATIONSHIP BETWEEN DATA STORAGE SPACE AND DATA RETRIEVAL TIME FOR LARGE DATABASES Techniques For Optimizing The Relationship Between Data Storage Space And Data Retrieval Time For Large Databases TECHNIQUES FOR OPTIMIZING THE RELATIONSHIP BETWEEN DATA STORAGE SPACE AND DATA RETRIEVAL

More information

How to use Big Data in Industry 4.0 implementations. LAURI ILISON, PhD Head of Big Data and Machine Learning

How to use Big Data in Industry 4.0 implementations. LAURI ILISON, PhD Head of Big Data and Machine Learning How to use Big Data in Industry 4.0 implementations LAURI ILISON, PhD Head of Big Data and Machine Learning Big Data definition? Big Data is about structured vs unstructured data Big Data is about Volume

More information

Business Analytics and the Nexus of Information

Business Analytics and the Nexus of Information Business Analytics and the Nexus of Information 2 The Impact of the Nexus of Forces 4 From the Gartner Files: Information and the Nexus of Forces: Delivering and Analyzing Data 6 About IBM Business Analytics

More information

Big Data Analytics: 14 November 2013

Big Data Analytics: 14 November 2013 www.pwc.com CSM-ACE 2013 Big Data Analytics: Take it to the next level in building innovation, differentiation and growth 14 About me Data analytics in the UK Forensic technology and data analytics in

More information

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 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

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

What happens when Big Data and Master Data come together?

What happens when Big Data and Master Data come together? What happens when Big Data and Master Data come together? Jeremy Pritchard Master Data Management fgdd 1 What is Master Data? Master data is data that is shared by multiple computer systems. The Information

More information

A Primer On Metadata Analysis

A Primer On Metadata Analysis A Primer On Metadata Analysis Jeffrey Lewis Records Management Program Manager SOL Capital Management Co. @Info_Currency What Is Metadata Data About Data Is used to relate informagon to other pieces informagon

More information

TEXT ANALYTICS INTEGRATION

TEXT ANALYTICS INTEGRATION TEXT ANALYTICS INTEGRATION A TELECOMMUNICATIONS BEST PRACTICES CASE STUDY VISION COMMON ANALYTICAL ENVIRONMENT Structured Unstructured Analytical Mining Text Discovery Text Categorization Text Sentiment

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

Big Trouble. Does Big Data spell. for Lawyers? Presented to Colorado Bar Association, Communications & Technology Law Section Denver, Colorado

Big Trouble. Does Big Data spell. for Lawyers? Presented to Colorado Bar Association, Communications & Technology Law Section Denver, Colorado Does Big Data spell Big Trouble for Lawyers? Paul Karlzen Director HR Information & Analytics April 1, 2015 Presented to Colorado Bar Association, Communications & Technology Law Section Denver, Colorado

More information

Understanding Your Customer Journey by Extending Adobe Analytics with Big Data

Understanding Your Customer Journey by Extending Adobe Analytics with Big Data SOLUTION BRIEF Understanding Your Customer Journey by Extending Adobe Analytics with Big Data Business Challenge Today s digital marketing teams are overwhelmed by the volume and variety of customer interaction

More information

Surfing the Data Tsunami: A New Paradigm for Big Data Processing and Analytics

Surfing the Data Tsunami: A New Paradigm for Big Data Processing and Analytics Surfing the Data Tsunami: A New Paradigm for Big Data Processing and Analytics Dr. Liangxiu Han Future Networks and Distributed Systems Group (FUNDS) School of Computing, Mathematics and Digital Technology,

More information

Big Data in the Nordics 2012

Big Data in the Nordics 2012 Big Data in the Nordics 2012 A survey about increasing data volumes and Big Data analysis among private and governmental organizations in Sweden, Norway, Denmark and Finland. Unexplored Big Data Potential

More information

Data Warehousing and Data Mining in Business Applications

Data Warehousing and Data Mining in Business Applications 133 Data Warehousing and Data Mining in Business Applications Eesha Goel CSE Deptt. GZS-PTU Campus, Bathinda. Abstract Information technology is now required in all aspect of our lives that helps in business

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

Big Data Challenges and Success Factors. Deloitte Analytics Your data, inside out

Big Data Challenges and Success Factors. Deloitte Analytics Your data, inside out Big Data Challenges and Success Factors Deloitte Analytics Your data, inside out Big Data refers to the set of problems and subsequent technologies developed to solve them that are hard or expensive to

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. 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

Why is BIG Data Important?

Why is BIG Data Important? Why is BIG Data Important? March 2012 1 Why is BIG Data Important? A Navint Partners White Paper May 2012 Why is BIG Data Important? March 2012 2 What is Big Data? Big data is a term that refers to data

More information

INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY

INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY A PATH FOR HORIZING YOUR INNOVATIVE WORK A SURVEY ON BIG DATA ISSUES AMRINDER KAUR Assistant Professor, Department of Computer

More information

Now, Next and the Future: IT, Big Data and other Implications for RIM. Presented by Michael S. Smith / http://about.me/mikessmith

Now, Next and the Future: IT, Big Data and other Implications for RIM. Presented by Michael S. Smith / http://about.me/mikessmith Now, Next and the Future: IT, Big Data and other Implications for RIM Agenda for This Afternoon Now: What trends are creating implications within the profession? Next: Why is IT now concerned about RIM?

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

BIG DATA What it is and how to use?

BIG DATA What it is and how to use? BIG DATA What it is and how to use? Lauri Ilison, PhD Data Scientist 21.11.2014 Big Data definition? There is no clear definition for BIG DATA BIG DATA is more of a concept than precise term 1 21.11.14

More information

Big Data: Key Concepts The three Vs

Big Data: Key Concepts The three Vs Big Data: Key Concepts The three Vs Big data in general has context in three Vs: Sheer quantity of data Speed with which data is produced, processed, and digested Diversity of sources inside and outside.

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

Big Data: Overview and Roadmap. 2015 eglobaltech. All rights reserved.

Big Data: Overview and Roadmap. 2015 eglobaltech. All rights reserved. Big Data: Overview and Roadmap 2015 eglobaltech. All rights reserved. What is Big Data? Large volumes of complex and variable data that require advanced techniques and technologies to enable capture, storage,

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

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

BIG DATA STRATEGY. Rama Kattunga Chair at American institute of Big Data Professionals. Building Big Data Strategy For Your Organization

BIG DATA STRATEGY. Rama Kattunga Chair at American institute of Big Data Professionals. Building Big Data Strategy For Your Organization BIG DATA STRATEGY Rama Kattunga Chair at American institute of Big Data Professionals Building Big Data Strategy For Your Organization In this session What is Big Data? Prepare your organization Building

More information

BIG DATA: PROMISE, POWER AND PITFALLS NISHANT MEHTA

BIG DATA: PROMISE, POWER AND PITFALLS NISHANT MEHTA BIG DATA: PROMISE, POWER AND PITFALLS NISHANT MEHTA Agenda Promise Definition Drivers of and for Big Data Increase revenue using Big Data Power Optimize operations and decrease costs Discover new revenue

More information

INTELLIGENT BUSINESS STRATEGIES WHITE PAPER

INTELLIGENT BUSINESS STRATEGIES WHITE PAPER INTELLIGENT BUSINESS STRATEGIES WHITE PAPER Improving Access to Data for Successful Business Intelligence Part 2: Supporting Multiple Analytical Workloads in a Changing Analytical Landscape By Mike Ferguson

More information

SAS CUSTOMER INTELLIGENCE. Solve more marketing challenges with a comprehensive enterprise solution

SAS CUSTOMER INTELLIGENCE. Solve more marketing challenges with a comprehensive enterprise solution SAS CUSTOMER INTELLIGENCE Solve more marketing challenges with a comprehensive enterprise solution Enable Smarter Decisions Throughout Your Marketing Process SAS analytics leads to deeper understanding

More information

Transforming the Telecoms Business using Big Data and Analytics

Transforming the Telecoms Business using Big Data and Analytics Transforming the Telecoms Business using Big Data and Analytics Event: ICT Forum for HR Professionals Venue: Meikles Hotel, Harare, Zimbabwe Date: 19 th 21 st August 2015 AFRALTI 1 Objectives Describe

More information

Sunnie Chung. Cleveland State University

Sunnie Chung. Cleveland State University Sunnie Chung Cleveland State University Data Scientist Big Data Processing Data Mining 2 INTERSECT of Computer Scientists and Statisticians with Knowledge of Data Mining AND Big data Processing Skills:

More information

Big Data Analytics: Today's Gold Rush November 20, 2013

Big Data Analytics: Today's Gold Rush November 20, 2013 Copyright 2013 Vivit Worldwide Big Data Analytics: Today's Gold Rush November 20, 2013 Brought to you by Copyright 2013 Vivit Worldwide Hosted by Bernard Szymczak Vivit Leader Ohio Chapter TQA SIG Copyright

More information

Data Intensive Health care. Rajendra Akerkar

Data Intensive Health care. Rajendra Akerkar Data Intensive Health care Rajendra Akerkar Technomathematics Research Foundation TMRF Report 03 2012 Data intensive Healthcare To promote innovation and increase efficiency in the healthcare sector TMRF-report-03-2012

More information

Big Data overview. Livio Ventura. SICS Software week, Sept 23-25 Cloud and Big Data Day

Big Data overview. Livio Ventura. SICS Software week, Sept 23-25 Cloud and Big Data Day Big Data overview SICS Software week, Sept 23-25 Cloud and Big Data Day Livio Ventura Big Data European Industry Leader for Telco, Energy and Utilities and Digital Media Agenda some data on Data Big Data

More information

USING BIG DATA FOR INTELLIGENT BUSINESSES

USING BIG DATA FOR INTELLIGENT BUSINESSES HENRI COANDA AIR FORCE ACADEMY ROMANIA INTERNATIONAL CONFERENCE of SCIENTIFIC PAPER AFASES 2015 Brasov, 28-30 May 2015 GENERAL M.R. STEFANIK ARMED FORCES ACADEMY SLOVAK REPUBLIC USING BIG DATA FOR INTELLIGENT

More information

A New Era Of Analytic

A New Era Of Analytic Penang egovernment Seminar 2014 A New Era Of Analytic Megat Anuar Idris Head, Project Delivery, Business Analytics & Big Data Agenda Overview of Big Data Case Studies on Big Data Big Data Technology Readiness

More information

Big Data in Retail 2015: Market Analysis, Companies, Solutions, and Forecasts 2015-2020

Big Data in Retail 2015: Market Analysis, Companies, Solutions, and Forecasts 2015-2020 Brochure More information from http://www.researchandmarkets.com/reports/3422278/ Big Data in Retail 2015: Market Analysis, Companies, Solutions, and Forecasts 2015-2020 Description: The retail industry

More information

Customized Report- Big Data

Customized Report- Big Data GINeVRA Digital Research Hub Customized Report- Big Data 1 2014. All Rights Reserved. Agenda Context Challenges and opportunities Solutions Market Case studies Recommendations 2 2014. All Rights Reserved.

More information

Information Governance

Information Governance Information Governance & Extended Content Solutions 2013 SOUND FAMILIAR? How do we connect our information together? How do we manage multiple un-integrated repositories of documents? Our users don t know

More information

Industry 4.0 and Big Data

Industry 4.0 and Big Data Industry 4.0 and Big Data Marek Obitko, mobitko@ra.rockwell.com Senior Research Engineer 03/25/2015 PUBLIC PUBLIC - 5058-CO900H 2 Background Joint work with Czech Institute of Informatics, Robotics and

More information

Indexed Terms: Big Data, benefits, characteristics, definition, problems, unstructured data

Indexed Terms: Big Data, benefits, characteristics, definition, problems, unstructured data Managing Data through Big Data: A Review Harsimran Singh Anand Assistant Professor, PG Dept of Computer Science & IT, DAV College, Amritsar Email id: harsimran_anand@yahoo.com A B S T R A C T Big Data

More information

Beyond Watson: The Business Implications of Big Data

Beyond Watson: The Business Implications of Big Data Beyond Watson: The Business Implications of Big Data Shankar Venkataraman IBM Program Director, STSM, Big Data August 10, 2011 The World is Changing and Becoming More INSTRUMENTED INTERCONNECTED INTELLIGENT

More information

We are Big Data A Sonian Whitepaper

We are Big Data A Sonian Whitepaper EXECUTIVE SUMMARY Big Data is not an uncommon term in the technology industry anymore. It s of big interest to many leading IT providers and archiving companies. But what is Big Data? While many have formed

More information

Business Analytics In a Big Data World Ted Malone Solutions Architect Data Platform and Cloud Microsoft Federal

Business Analytics In a Big Data World Ted Malone Solutions Architect Data Platform and Cloud Microsoft Federal Business Analytics In a Big Data World Ted Malone Solutions Architect Data Platform and Cloud Microsoft Federal Information has gone from scarce to super-abundant. That brings huge new benefits. The Economist

More information

ENGINE(S) BEHIND BI. Sam Tawfik sam.tawfik@teradata.com @teradata_sam

ENGINE(S) BEHIND BI. Sam Tawfik sam.tawfik@teradata.com @teradata_sam ENGINE(S) BEHIND BI Sam Tawfik sam.tawfik@teradata.com @teradata_sam Transactions and Interactions BIG DATA 2 Transaction Interaction Data Growth 10 24 10 21 10 18 10 15 10 12 10 9 Yottabyte Zettabyte

More information

The Retail Analytics Challenge: Smarter Retail through Advanced Analytics & Optimization

The Retail Analytics Challenge: Smarter Retail through Advanced Analytics & Optimization Smarter Retail The Retail Analytics Challenge: Smarter Retail through Advanced Analytics & Optimization 2011 IBM Corporation Connecting With the Digital Customer the Retail Challenge 88.8% increase in

More information

Potential and Pitfalls of Health-Related Big Data. Ana Aizcorbe. March 6, 2014

Potential and Pitfalls of Health-Related Big Data. Ana Aizcorbe. March 6, 2014 Potential and Pitfalls of Health-Related Big Data Ana Aizcorbe March 6, 2014 What is Big Data? Big Data is revolutionizing 21st-century business without anybody knowing what it actually means. MIT Technology

More information

Keywords Big Data; OODBMS; RDBMS; hadoop; EDM; learning analytics, data abundance.

Keywords Big Data; OODBMS; RDBMS; hadoop; EDM; learning analytics, data abundance. Volume 4, Issue 11, November 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Analytics

More information

Big Data and Your Data Warehouse Philip Russom

Big Data and Your Data Warehouse Philip Russom Big Data and Your Data Warehouse Philip Russom TDWI Research Director for Data Management April 5, 2012 Sponsor Speakers Philip Russom Research Director, Data Management, TDWI Peter Jeffcock Director,

More information

HP Vertica at MIT Sloan Sports Analytics Conference March 1, 2013 Will Cairns, Senior Data Scientist, HP Vertica

HP Vertica at MIT Sloan Sports Analytics Conference March 1, 2013 Will Cairns, Senior Data Scientist, HP Vertica HP Vertica at MIT Sloan Sports Analytics Conference March 1, 2013 Will Cairns, Senior Data Scientist, HP Vertica So What s the market s definition of Big Data? Datasets whose volume, velocity, variety

More information

Taking Data Analytics to the Next Level

Taking Data Analytics to the Next Level Taking Data Analytics to the Next Level Implementing and Supporting Big Data Initiatives What Is Big Data and How Is It Applicable to Anti-Fraud Efforts? 2 of 20 Definition Gartner: Big data is high-volume,

More information

BEYOND BI: Big Data Analytic Use Cases

BEYOND BI: Big Data Analytic Use Cases BEYOND BI: Big Data Analytic Use Cases Big Data Analytics Use Cases This white paper discusses the types and characteristics of big data analytics use cases, how they differ from traditional business intelligence

More information

Big Data a threat or a chance?

Big Data a threat or a chance? Big Data a threat or a chance? Helwig Hauser University of Bergen, Dept. of Informatics Big Data What is Big Data? well, lots of data, right? we come back to this in a moment. certainly, a buzz-word but

More information

Big Data and Analytics in Government

Big Data and Analytics in Government Big Data and Analytics in Government Nov 29, 2012 Mark Johnson Director, Engineered Systems Program 2 Agenda What Big Data Is Government Big Data Use Cases Building a Complete Information Solution Conclusion

More information

DATAMEER WHITE PAPER. Beyond BI. Big Data Analytic Use Cases

DATAMEER WHITE PAPER. Beyond BI. Big Data Analytic Use Cases DATAMEER WHITE PAPER Beyond BI Big Data Analytic Use Cases This white paper discusses the types and characteristics of big data analytics use cases, how they differ from traditional business intelligence

More information

EXECUTIVE REPORT. Big Data and the 3 V s: Volume, Variety and Velocity

EXECUTIVE REPORT. Big Data and the 3 V s: Volume, Variety and Velocity EXECUTIVE REPORT Big Data and the 3 V s: Volume, Variety and Velocity The three V s are the defining properties of big data. It is critical to understand what these elements mean. The main point of the

More information

Addressing Open Source Big Data, Hadoop, and MapReduce limitations

Addressing Open Source Big Data, Hadoop, and MapReduce limitations Addressing Open Source Big Data, Hadoop, and MapReduce limitations 1 Agenda What is Big Data / Hadoop? Limitations of the existing hadoop distributions Going enterprise with Hadoop 2 How Big are Data?

More information

BIG DATA: HELPING SCHOLARLY PUBLISHERS CUT THROUGH THE HYPE

BIG DATA: HELPING SCHOLARLY PUBLISHERS CUT THROUGH THE HYPE BIG DATA: HELPING SCHOLARLY PUBLISHERS CUT THROUGH THE HYPE Janice McCallum Health Content Advisors Association of American Publishers 2013 PSP Annual Conference, Washington, DC February 6-8, 2013 Focus

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

MCCM: An Approach to Transform

MCCM: An Approach to Transform MCCM: An Approach to Transform the Hype of Big Data into a Real Solution for Getting Better Customer Insights and Experience Muhammad Salman Sami Khan, Chief Research Analyst, Global Marketing Team, ZTEsoft

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

A Strategic Approach to Customer Engagement Optimization. A Verint Systems White Paper

A Strategic Approach to Customer Engagement Optimization. A Verint Systems White Paper A Strategic Approach to Customer Engagement Optimization A Verint Systems White Paper Table of Contents Introduction... 1 What is customer engagement?... 2 Why is customer engagement critical for business

More information

The New World of Data. Don Strickland President, Strickland & Associates

The New World of Data. Don Strickland President, Strickland & Associates The New World of Data Don Strickland President, Strickland & Associates THE NEW WORLD OF DATA 1900 1950 2000 Physical Infrastructure Labor Capital Physical Infrastructure Labor Capital Physical Infrastructure

More information

Tutorial: Big Data Algorithms and Applications Under Hadoop KUNPENG ZHANG SIDDHARTHA BHATTACHARYYA

Tutorial: Big Data Algorithms and Applications Under Hadoop KUNPENG ZHANG SIDDHARTHA BHATTACHARYYA Tutorial: Big Data Algorithms and Applications Under Hadoop KUNPENG ZHANG SIDDHARTHA BHATTACHARYYA http://kzhang6.people.uic.edu/tutorial/amcis2014.html August 7, 2014 Schedule I. Introduction to big data

More information

Big data: increasing productivity while reducing costs in health and social care Guest Editorial

Big data: increasing productivity while reducing costs in health and social care Guest Editorial 8 Unit Costs of Health and Social Care 2014 Big data: increasing productivity while reducing costs in health and social care Guest Editorial Pavanraj Jessal 1 What is big data? In recent years there has

More information

Enabling Big Data with Cloud. Go faster Reduce risk Scale as you grow Avoid mistakes

Enabling Big Data with Cloud. Go faster Reduce risk Scale as you grow Avoid mistakes Enabling Big Data with Cloud Go faster Reduce risk Scale as you grow Avoid mistakes Dr. Phil Shelley Why Cloud and Big Data? Complexity Speed Cost Skills Support Technology Analytics 2.0 Industry Trends

More information

Advanced In-Database Analytics

Advanced In-Database Analytics Advanced In-Database Analytics Tallinn, Sept. 25th, 2012 Mikko-Pekka Bertling, BDM Greenplum EMEA 1 That sounds complicated? 2 Who can tell me how best to solve this 3 What are the main mathematical functions??

More information

Information-Driven Transformation in Retail with the Enterprise Data Hub Accelerator

Information-Driven Transformation in Retail with the Enterprise Data Hub Accelerator Introduction Enterprise Data Hub Accelerator Retail Sector Use Cases Capabilities Information-Driven Transformation in Retail with the Enterprise Data Hub Accelerator Introduction Enterprise Data Hub Accelerator

More information

Delivering real Information Management solutions that result in better, more efficient healthcare.

Delivering real Information Management solutions that result in better, more efficient healthcare. Delivering real Information Management solutions that result in better, more efficient healthcare. For more than 30 years, we have helped companies overcome challenges and identify opportunities to achieve

More information

Big Data: Are You Ready? Kevin Lancaster

Big Data: Are You Ready? Kevin Lancaster Big Data: Are You Ready? Kevin Lancaster Director, Engineered Systems Oracle Europe, Middle East & Africa 1 A Data Explosion... Traditional Data Sources Billing engines Custom developed New, Non-Traditional

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

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

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

Predictive Analytics in an hour: a no-nonsense quick guide

Predictive Analytics in an hour: a no-nonsense quick guide Predictive Analytics in an hour: a no-nonsense quick guide Jarlath Quinn Analytics Consultant Rachel Clinton Business Development www.sv-europe.com FAQ s Is this session being recorded? No Can I get a

More information

Big Data Strategies Creating Customer Value In Utilities

Big Data Strategies Creating Customer Value In Utilities Big Data Strategies Creating Customer Value In Utilities National Conference ICT For Energy And Utilities Sofia, October 2013 Valery Peykov Country CIO Bulgaria Veolia Environnement 17.10.2013 г. One Core

More information

Turning Big Data into Big Decisions Delivering on the High Demand for Data

Turning Big Data into Big Decisions Delivering on the High Demand for Data Turning Big Data into Big Decisions Delivering on the High Demand for Data Michael Ho, Vice President of Professional Services Digital Government Institute s Government Big Data Conference, October 31,

More information

QLIKVIEW DEPLOYMENT FOR BIG DATA ANALYTICS AT KING.COM

QLIKVIEW DEPLOYMENT FOR BIG DATA ANALYTICS AT KING.COM QLIKVIEW DEPLOYMENT FOR BIG DATA ANALYTICS AT KING.COM QlikView Technical Case Study Series Big Data June 2012 qlikview.com Introduction This QlikView technical case study focuses on the QlikView deployment

More information

SAP Predictive Analysis: Strategy, Value Proposition

SAP Predictive Analysis: Strategy, Value Proposition September 10-13, 2012 Orlando, Florida SAP Predictive Analysis: Strategy, Value Proposition Thomas B Kuruvilla, Solution Management, SAP Business Intelligence Scott Leaver, Solution Management, SAP Business

More information

Doing Multidisciplinary Research in Data Science

Doing Multidisciplinary Research in Data Science Doing Multidisciplinary Research in Data Science Assoc.Prof. Abzetdin ADAMOV CeDAWI - Center for Data Analytics and Web Insights Qafqaz University aadamov@qu.edu.az http://ce.qu.edu.az/~aadamov 16 May

More information

Smart Data THE driving force for industrial applications

Smart Data THE driving force for industrial applications Smart Data THE driving force for industrial applications European Data Forum Luxembourg, siemens.com The world is becoming digital User behavior is radically changing based on new business models Newspaper,

More information