1 Danny Wang, Ph.D. Vice President of Business Strategy and Risk Management Republic Bank
2 Agenda» Overview» What is Big Data?» Accelerates advances in computer & technologies» Revolutionizes data measurement» Influences business and economics» Transforms utility of social networks» Promotes analytics and decision making» Introduces new challenges, risks, and pitfalls
3 Overview» According to IDC, a leading tech research firm, data is growing exponentially at rate of 50% a year.» More than doubling every two years.» We create 2.5 quintillion (10 18 ) bytes of data every day.» 90% of the data in the world today has been created in the last two years alone.
4 Overview» This data comes from everywhere:» sensors used to gather climate information» posts to social media sites» digital pictures and videos» purchase transaction records» cell phone GPS signals» McKinsey Global Institute, a consulting firm, projected the U.S. needs» 140,000 to 190,000 more workers with deep analytical expertise» 1.5 million more data literate managers, retrained or hired.
5 Overview of impact» The impact of big data is being felt beyond marketing departments.» The position of chief data officer, data scientist is commonplace in the U.S.» If used effectively, big data can be a powerful tool.» Talent, not just technology. People matter!» The evidence for the power of big data can obscure the difficulties that many companies face when working with it.
6 Agenda» Overview» What is Big Data?» Accelerates advances in computer & technologies» Revolutionizes data measurement» Influences business and economics» Transforms utility of social networks» Promotes analytics and decision making» Introduces new challenges, risks, and pitfalls
7 What is Big Data?» A meme and a marketing term» Meme -- an idea, behavior, style, or usage that spreads from person to person within a culture Source: Merriam Webster» A lot of people talk about it, especially in IT, analytics world.» Southland for advancing trends in technology» Open the door to a new approach to understanding the world and making decisions» Big data is more than simply a matter of size» It is an opportunity to find insights in new and emerging types of data and content» Makes your business more agile, and answers questions that were previously considered beyond your reach
8 Examples» Wal-Mart handles more than a million customer transactions each hour and imports those into databases estimated to contain more than 2.5 petabytes of data.» Radio frequency identification (RFID) systems used by retailers and other scan generate 100 to 1,000 times the data of conventional bar code systems.» Facebook handles more than 250 million photo uploads and the interactions of 800 million active users with more than 900 million objects (pages, groups, etc.) each day.» More than 5 billion people are calling, texting, tweeting and browsing on mobile phones worldwide.
9 What is Big Data?» Big Data refers to relatively large amounts of structured and unstructured data that require machine-based systems and technologies in order to be fully analyzed. Ad Age» Big data usually includes data sets with sizes beyond the ability of commonly-used software tools to capture, curate, manage, and process the data within a tolerable elapsed time. Wikipedia» Big Data is the massive amounts of data that collect over time that are difficult to analyze and handle using common database management tools. PCMac
10 Definition Source:
11 4 Vs» Volume: Enterprises are awash with ever-growing data of all types, easily amassing terabytes even petabytes of information. Turn 12 terabytes of Tweets created each day into improved product sentiment analysis Convert 350 billion annual meter readings to better predict power consumption» Velocity: Sometimes 2 minutes is too late. For time-sensitive processes such as catching fraud, big data must be used as it streams into your enterprise in order to maximize its value. Scrutinize 5 million trade events created each day to identify potential fraud Analyze 500 million daily call detail records in real-time to predict customer churn faster» Variety: Big data is any type of data - structured and unstructured data such as text, sensor data, audio, video, click streams, log files and more. New insights are found when analyzing these data types together. Monitor 100 s of live video feeds from surveillance cameras to target points of interest Exploit the 80% data growth in images, video and documents to improve customer satisfaction» Veracity: 1 in 3 business leaders don t trust the information they use to make decisions. How can you act upon information if you don t trust it? Establishing trust in big data presents a huge challenge as the variety and number of sources grows. Source:
12 Agenda» Overview» What is Big Data?» Accelerates advances in computer & technologies» Revolutionizes data measurement» Influences business and economics» Transforms utility of social networks» Promotes analytics and decision making» Introduces new challenges, risks, and pitfalls
13 Volume increasing, scope expanding» In addition to an increasing volume of data, the scope of data sources is also expanding.» Particularly, unstructured data such as words, images, video on the web and those streams of sensor data.» Unstructured data is not typically grist for traditional database.
14 Hardware advancements» Cheap, abundant storage and server processing capacity» Faster processors» Affordable large-memory capabilities, such as Hadoop» New storage and processing technologies designed specifically for large data volumes, including unstructured data» Parallel processing, clustering, MPP, virtualization, large grid environments, high connectivity and high throughputs» Cloud computing and other flexible resource allocation arrangements
15 Software advancements»artificial Intelligence technologies» Natural language processing» Pattern recognition» Machine perception, computer vision, and speech recognition» Machine learning»advanced algorithms
16 A virtuous circle Hardware Software/ Algorithms Big Data/ Analytics
17 Agenda» Overview» What is Big Data?» Accelerates advances in computer & technologies» Revolutionizes data measurement» Influences business and economics» Transforms utility of social networks» Promotes analytics and decision making» Introduces new challenges, risks, and pitfalls
18 Traditional data measurement
19 Fine-grained measurement» Prof. Erick Brynjolfsson at MIT s Sloan School of Management, thinks data measurement is the modern equivalent of the microscope.» The microscope, invented four centuries ago, allowed people to see and measure things as never before at the cellular level.» Big data, such as Google search, Facebook posts and Twitter messages, make it possible to measure behavior and sentiment in fine details.» Big data can change how we view the world.
20 Agenda» Overview» What is Big Data?» Accelerates advances in computer & technologies» Revolutionizes data measurement» Influences business and economics» Increases utility of social networks» Promotes analytics and decision making» Introduces new challenges, risks, and pitfalls
21 How does big data impact business?» Big data has a robust influence on business, economics and other fields.» Decisions will increasingly be based on data and analytics rather than on experience and intuition.» Plenty of evidence now exists of the payoff from data-first thinking.» Using analytical input to increase profit and make the most astute decisions is key to success in current business environments.
22 Research highlights» There is a strong link between financial performance and the effective use of big data.» Companies become successful at exploiting data by focusing on business priorities.» Talent matters as much as technology» Social media analytics and web-tracking technologies can transform the way business collect data about customers Source: Big data Lesson from the leaders, The Economist Intelligence Unit Limited 2012
23 Agenda» Overview» What is Big Data?» Accelerates advances in computer & technologies» Revolutionizes data measurement» Influences business and economics» Transforms utility of social networks» Promotes analytics and decision making» Introduces new challenges, risks, and pitfalls
24 Impact on social networks» Big data is already transforming the study of how social networks function.» Huge digital data sets of collective online behavior can be collected and unitized.» Patterns of influence and peaks in communication on a subject can be found.» Actionable results can be yielded.» These patterns and results also can be used to make future predictions.
25 Agenda» Overview» What is Big Data?» Accelerates advances in computer & technologies» Revolutionizes data measurement» Influences business and economics» Increases utility of Social networks» Promotes analytics and decision making» Introduces new challenges, risks, and pitfalls
26 Impact on analytics» Big data has an impact on analytics through the development and utilization of new and enhanced procedures and tools.» Data is tamed and understood using computer algorithms and mathematical models.» The predictive power of big data is being explored and shows promise in fields like public health, economic development and forecasting, etc.» Retailers, such as Walmart and Kohl s, use big data driven approach for their businesses.» Logistics such as UPS, FedEx, mine big data to get a optimal solution.
27 Compete on analytics» Companies in many industries offer similar products and use comparable technologies.» High-performance business processes are among the last remaining points of differentiation.» Make the smartest business decision possible.» Execute the business with maximum efficiency and effectiveness.
28 Big Data analytics
29 Agenda» Overview» What is Big Data?» Accelerates advances in computer & technologies» Revolutionizes data measurement» Influences business and economics» Increases utility of social networks» Promotes analytics and decision making» Introduces new challenges, risks, and pitfalls
30 Challenges in the financial market»how can we improve our risk forecasting at the point of origination?»how can we increase the number of approved loan/credit card/mortgage applications?»how can we reduce the level of risk?» How can we streamline operations for increased cost efficiencies?» How can we maintain regulatory compliance?
31 Scoring tools
32 The bigger, the better?» We see mountains of data today.» The existing mountains are continually growing, and new ones are being built daily.» Are we collecting the right data? In a good manner?» Sometimes, we are swamped with more data that we can use.» No one addresses the cost of data mining» System/software/computers» People/staff infrastructure» Maintaining the hardware and software» Data storage
33 Cost benefit analysis» Data collection, storage, analysis and use in government and the private sector is necessary.» It is also important to ask ourselves if a project is truly needed.» Does the data collection and analysis activities and expenditures really provide tangible benefits?» Numbers tell us something, but don t tell us everything we need to know.» We need to engage people and human intellect and insight.
34 Don t head in a wrong direction» Large benefits can be realized from a data driven approach.» However, with huge data sets and fine-grained measurement, there is also an increased risk of false discoveries.» The challenge of data mining is to find a meaningful needle in massive haystacks.» The trouble is that there are a lot of straws that look like needles.
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
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
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...
WHAT IS BIG DATA? David Bechtold Agenda 1. Introduction 2. What is Big Data? 3. Big Data a perspective 4. Characteristic of Big Data Three Vs 5. A Fourth V..? 6. Examples 7. How did we get here?... A historical
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: firstname.lastname@example.org twitter: @inhicho
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
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
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?
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,
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
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?
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?
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
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
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
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
Exploiting Data at Rest and Data in Motion with a Big Data Platform Sarah Brader, email@example.com What is Big Data? Where does it come from? 12+ TBs of tweet data every day 30 billion RFID tags
What is big data? Raul F. Chong Senior program manager Big data, DB2, and Cloud IM Cloud Computing Center of Competence - IBM Toronto Lab, Canada 1 2011 IBM Corporation Agenda The world is changing What
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
An analysis of Big Data ecosystem from an HCI perspective. Jay Sanghvi Rensselaer Polytechnic Institute For: Theory and Research in Technical Communication and HCI Rensselaer Polytechnic Institute Wednesday,
Cloud Computing and Big Data. What s the Big Deal? Arlene Minkiewicz, Chief Scientist PRICE Systems, LLC firstname.lastname@example.org 2013 PRICE Systems, LLC All Rights Reserved Decades of Cost Management
SAP Makes Big Data Real Real Time. Real Results. MAKE BIG DATA REAL WITH SAP SOLUTIONS: ACCELERATE. APPLY. ACHIEVE Accelerate, Apply, and Achieve Big Results from Your Big Data Big Data represents an opportunity
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
Hadoop for Enterprises: Overcoming the Major Challenges Introduction to Big Data Big Data are information assets that are high volume, velocity, and variety. Big Data demands cost-effective, innovative
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
Cloud Computing and Big Data. What s the Big Deal? Arlene Minkiewicz, Chief Scientist PRICE Systems, LLC email@example.com 2013 PRICE Systems, LLC All Rights Reserved Decades of Cost Management
Research Note What is Big Data? By: Devin Luco Copyright 2012, ASA Institute for Risk & Innovation Keywords: Big Data, Database Management, Data Variety, Data Velocity, Data Volume, Structured Data, Unstructured
Introduction to Engineering Using Robotics Experiments Lecture 17 Big Data Yinong Chen 2 Big Data Big Data Technologies Cloud Computing Service and Web-Based Computing Applications Industry Control Systems
IBM Software White Paper Consumer Products Delivering new insights and value to consumer products companies through big data 2 Delivering new insights and value to consumer products companies through big
Financial Services Grabbing Value from Big Data: The New Game Changer for Financial Services How financial services companies can harness the innovative power of big data 2 Grabbing Value from Big Data:
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
White Paper Analyzing Big Data: The Path to Competitive Advantage by Marcia Kaplan Contents Introduction....2 How Big is 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
Big Data Just Noise or Does it Matter? Opportunities for Continuous Auditing Presented by: Solon Angel Product Manager Servers The CaseWare Group. Founded in 1988. An industry leader in providing technology
Chapter 7 Using Hadoop Cluster and MapReduce Modeling and Prototyping of RMS for QoS Oriented Grid Page 152 7. Using Hadoop Cluster and MapReduce for Big Data Problems The size of the databases used in
$ 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
PAGE 1 l Teradata Magazine l Q1/2011 l 2011 Teradata Corporation l AR-6309 It s going mainstream, and it s your next opportunity. by Merv Adrian Enterprises have never had more data, and it s no surprise
ISSN: 2454-2377, October 2015 Big Data and Hadoop Simmi Bagga 1 Satinder Kaur 2 1 Assistant Professor, Sant Hira Dass Kanya MahaVidyalaya, Kala Sanghian, Distt Kpt. INDIA E-mail: firstname.lastname@example.org
Big Data & Analytics: Your concise guide (note the irony) Wednesday 27th November 2013 Housekeeping 1. Any questions coming out of today s presentation can be discussed in the bar this evening 2. OCF is
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
CIS 4930/6930 Spring 2014 Introduction to Data Science Data Intensive Computing University of Florida, CISE Department Prof. Daisy Zhe Wang Data Science Overview Why, What, How, Who Outline Why Data Science?
Big data and its transformational effects Professor Fai Cheng Head of Research & Technology September 2015 Working together for a safer world Topics Lloyd s Register Big Data Data driven world Data driven
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
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
Technology Insight Paper Converged, Real-time Analytics Enabling Faster Decision Making and New Business Opportunities By John Webster February 2015 Enabling you to make the best technology decisions Enabling
Piyush Chaudhary Technical Computing Solutions Data Centric Computing Revisited SPXXL/SCICOMP Summer 2013 Bottom line: It is a time of Powerful Information Data volume is on the rise Dimensions of data
Cloud Computing and Big Data That s Why! Ray Walshe 14 th March 2013 Data Centre Growth We need more data centres??? (c) Ray Walshe 2013 2 By 2015 By 2015, about 24% of all new business software purchases
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 email@example.com What
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
Navigating the big data challenge Do you have lots of data but few insights? By Rasmus Wegener and Velu Sinha Rasmus Wegener is a partner with Bain & Company in Atlanta. Velu Sinha is a partner in Bain
Big Data Use Cases Update Sanat Joshi Industry Solutions Manufacturing Industries Business Unit 1 Data Explosion Web & social networks experienced it first Infographic by Go-gulf.com 2 Number Of Connected
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
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
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,
2015 Analyst and Advisor Summit Advanced Data Analytics Dr. Rod Fontecilla Vice President, Application Services, Chief Data Scientist Agenda Key Facts Offerings and Capabilities Case Studies When to Engage
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
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,
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.
FALL 2012 VOL.54 NO.1 Thomas H. Davenport, Paul Barth and Randy Bean How Big Data is Different Brought to you by Please note that gray areas reflect artwork that has been intentionally removed. The substantive
VOLUME 34 BEST PRACTICES IN BUSINESS INTELLIGENCE AND DATA WAREHOUSING FROM LEADING SOLUTION PROVIDERS AND EXPERTS PDF PREVIEW IN EMERGING TECHNOLOGIES POWERFUL CASE STUDIES AND LESSONS LEARNED FOCUSING
Big Data & Analytics for Semiconductor Manufacturing 半 導 体 生 産 におけるビッグデータ 活 用 Ryuichiro Hattori 服 部 隆 一 郎 Intelligent SCM and MFG solution Leader Global CoC (Center of Competence) Electronics team General
ATA DRIVEN GLOBAL VISION CLOUD PLATFORM STRATEG N POWERFUL RELEVANT PERFORMANCE SOLUTION CLO IRTUAL BIG DATA SOLUTION ROI FLEXIBLE DATA DRIVEN V WHITE PAPER Create the Data Center of the Future Accelerate
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
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
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
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
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
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
Integrating a Big Data Platform into Government: Drive Better Decisions for Policy and Program Outcomes John Haddad, Senior Director Product Marketing, Informatica Digital Government Institute s Government
Nokia Networks FutureWorks Nokia technology vision 2020: personalize the network experience Executive Summary White paper - Nokia Technology Vision 2020: Personalize the Network Experience CONTENTS Aligning
Strategic Decisions Supported by SAP Big Data Solutions Angélica Bedoya / Strategic Solutions GTM Mar /2014 What critical new signals Might you be missing? Use Analytics Today 10% 75% Need Analytics by
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
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
An ENTERPRISE MANAGEMENT ASSOCIATES (EMA ) White Paper Prepared for SAP April 2013 IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING Table of Contents Introduction... 1 Drivers of Change...
Good morning. It is a pleasure to be with you here today to talk about the value and promise of Big Data. 1 Advances in information technologies are transforming the fabric of our society and data represent
Understanding & Realizing Big Data Potential 2014 Latin America Treasury & Finance Conference A Blueprint for a Digitally Connected Treasury Driss R. Temsamani Analytics & Innovation Head firstname.lastname@example.org
Industry Perspective: Big Data and Big Data Analytics David Barnes Program Director Emerging Internet Technologies IBM Software Group What is Big Data? The Adjacent Possible Inexpensive disk + Increased
Impact of Big Data in Oil & Gas Industry Pranaya Sangvai Reliance Industries Limited 04 Feb 15, DEJ, Mumbai, India. New Age Information 2.92 billions Internet Users in 2014 Twitter processes 7 terabytes
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
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
Dr. Oliver Adamczak Big Data and Trusted Information CAS Single Point of Truth 7. Mai 2012 The Hype Big Data: The next frontier for innovation, competition and productivity McKinsey Global Institute 2012
Business Intelligence solutions decisions that are better-informed leading to long-term competitive advantage Your business technologists. Powering progress Every organization generates vast amounts of
Volume 4, Issue 1, January 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Transitioning
CAP4773/CIS6930 Projects in Data Science, Fall 2014 [Review] Overview of Data Science Dr. Daisy Zhe Wang CISE Department University of Florida August 25th 2014 20 Review Overview of Data Science Why Data
Position paper data driven government preparing for the age of the citizen Insights for tomorrow s world Governments are awash with information, and they face a deluge of data as far into the future as
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