Gayatri Patel, eBay, presents at the Big Analytics 2012 Roadshow
The wonders of what data can do for an organization is measured in the productivity and competitiveness of their team's decisions. Some believe more data is the key. Agreed...but good decisions require more than just deriving intelligence from big data. In this dynamic market, the need to socialize and evolve ideas with other teams, quickly correlate information across sources, and test ideas to fail fast early are strong enablers to gain competitive footing. eBay¹s analytic and technology advancements garners insights and approaches that continue to help our employees tell their "data stories" and make better decisions.
Understanding big data and data analytics big dataSeta Wicaksana
Big Data helps companies to generate valuable insights. Companies use Big Data to refine their marketing campaigns and techniques. Companies use it in machine learning projects to train machines, predictive modeling, and other advanced analytics applications.
The objective of this module is to provide an overview of the basic information on big data.
Upon completion of this module you will:
-Comprehend the emerging role of big data
-Understand the key terms regarding big and smart data
-Know how big data can be turned into smart data
-Be able to apply the key terms regarding big data
Analytics 3.0 Measurable business impact from analytics & big dataMicrosoft
Presentación del evento de Harvard Business Review sobre Analítica y Big Data
(15 de Octubre 2013)
"Featuring analytics expert Tom Davenport, author of Competing on Analytics, Analytics at Work, and the just-released Keeping Up with the Quants" 
This talk is an introduction to Data Science. It explains Data Science from two perspectives - as a profession and as a descipline. While covering the benefits of Data Science for business, It explaints how to get started for embracing data science in business.
When Big Data and Predictive Analytics Collide: Visual Magic HappensChase McMichael
Big data is useless data unless you have a way to handle and perform meaningful analysis that drives a business outcome. Data visualization has transformed complex data sets into patterns now being used to constructed predictive models. In the massive exploding world of social data and content engagement the need for intelligent data mining and pattern prediction is required to realize data driving marketing. In this presentation, we will explore techniques, key takeaways and examples behind this fast growing market of predictive https://svforum.org/Business-Intelligence/Business-Intelligence-SIG-When-Big-Data-and-Predictive-Analytics-Collide SEE Dreamforce Content Hub in ACTION here http://blog.infinigraph.com/example-of-visual-content-trends-powered-by-hypercuration/
Analytics: The Real-world Use of Big DataDavid Pittman
UPDATE: Register now to participate in the 2013 survey: http://ibm.com/2013bigdatasurvey IBM’s Institute for Business Value (IBV) and the University of Oxford released their information-rich and insightful report “Analytics: The real-world use of big data.” Based on a survey of over 1000 professionals from 100 countries across 25+ industries, the report provides insights into organizations’ top business objectives, where they are in their big data journey, and how they are advancing their big data efforts. It also provides a pragmatic set of recommendations to organizations as they proceed down the path of big data. For additional information, including links to a podcast with one of the lead researchers and a link to download the full report, visit http://ibm.co/RB14V0
Understanding big data and data analytics big dataSeta Wicaksana
Big Data helps companies to generate valuable insights. Companies use Big Data to refine their marketing campaigns and techniques. Companies use it in machine learning projects to train machines, predictive modeling, and other advanced analytics applications.
The objective of this module is to provide an overview of the basic information on big data.
Upon completion of this module you will:
-Comprehend the emerging role of big data
-Understand the key terms regarding big and smart data
-Know how big data can be turned into smart data
-Be able to apply the key terms regarding big data
Analytics 3.0 Measurable business impact from analytics & big dataMicrosoft
Presentación del evento de Harvard Business Review sobre Analítica y Big Data
(15 de Octubre 2013)
"Featuring analytics expert Tom Davenport, author of Competing on Analytics, Analytics at Work, and the just-released Keeping Up with the Quants" 
This talk is an introduction to Data Science. It explains Data Science from two perspectives - as a profession and as a descipline. While covering the benefits of Data Science for business, It explaints how to get started for embracing data science in business.
When Big Data and Predictive Analytics Collide: Visual Magic HappensChase McMichael
Big data is useless data unless you have a way to handle and perform meaningful analysis that drives a business outcome. Data visualization has transformed complex data sets into patterns now being used to constructed predictive models. In the massive exploding world of social data and content engagement the need for intelligent data mining and pattern prediction is required to realize data driving marketing. In this presentation, we will explore techniques, key takeaways and examples behind this fast growing market of predictive https://svforum.org/Business-Intelligence/Business-Intelligence-SIG-When-Big-Data-and-Predictive-Analytics-Collide SEE Dreamforce Content Hub in ACTION here http://blog.infinigraph.com/example-of-visual-content-trends-powered-by-hypercuration/
Analytics: The Real-world Use of Big DataDavid Pittman
UPDATE: Register now to participate in the 2013 survey: http://ibm.com/2013bigdatasurvey IBM’s Institute for Business Value (IBV) and the University of Oxford released their information-rich and insightful report “Analytics: The real-world use of big data.” Based on a survey of over 1000 professionals from 100 countries across 25+ industries, the report provides insights into organizations’ top business objectives, where they are in their big data journey, and how they are advancing their big data efforts. It also provides a pragmatic set of recommendations to organizations as they proceed down the path of big data. For additional information, including links to a podcast with one of the lead researchers and a link to download the full report, visit http://ibm.co/RB14V0
Smart Data Webinar: Knowledge as a ServiceDATAVERSITY
Building a successful ModernAI application often requires large volumes of data for training ML models or data that has been organized into knowledge using taxonomies or ontologies to support specific vertical markets (healthcare, insurance, pharma, etc.) or horizontal functions (HR, legal, supply chain, etc). While tools do exist to help developers ingest and organize the required data into meaningful knowledge stores, using pre-built data or knowledge packages can make application development faster, more reliable, and less expensive than starting from scratch.
In this webinar we will look at trends and examples of specific proprietary and open source data sets that offer prebuilt knowledge, representations, or models to serve these markets.
Big Data : From HindSight to Insight to ForesightSunil Ranka
When it comes to Analytics and Reporting , There is a fine line between HindSight to Insight to Foresight . With the evolution of BigData technology, there is a need in deriving value out of the larger datasets, not available in the past. Even before we can start using the new shiny technologies, there is a need of understanding what is categorized as reporting or business intelligence or Big Data and Analytics. Based on my experience, people struggle to distinguish between reporting, Analytics, and Business Intelligence.
Why Everything You Know About bigdata Is A LieSunil Ranka
As a big data technologist, you can bet that you have heard it all: every crazy claim, myth, and outright lie about what big data is and what it isn't that you can imagine, and probably a few that you can't.If your company has a big data initiative or is considering one, you should be aware of these false statements and the reasons why they are wrong.
Advanced Business Analytics for Actuaries - Canadian Institute of Actuaries J...Kevin Pledge
Presentation given at the Canadian Institute of Actuaries Annual Meeting in June 2013. Covers the direction business intelligence is moving in for insurance.
What is the impact of Big Data on Analytics from a Data Science perspective.
Presented at the Big Data and Analytics Summit 2014, Nasscom by Mamatha Upadhyaya.
The 20th annual Enterprise Data World (EDW) Conference took place in San Diego last month April 17-21. It is recognized as the most comprehensive educational conference on data management in the world.
Joe Caserta was a featured presenter. His session “Evolving from the Data Warehouse to Big Data Analytics - the Emerging Role of the Data Lake," highlighted the challenges and steps to needed to becoming a data-driven organization.
Joe also participated in in two panel discussions during the show:
• "Data Lake or Data Warehouse?"
• "Big Data Investments Have Been Made, But What's Next
For more information on Caserta Concepts, visit our website at http://casertaconcepts.com/.
How to understand trends in the data & software marketmark madsen
The big challenge most analytics and IT professionals face today is dealing with complexity. Trends are still not clear. It helps to look at the past and current state to understand what’s really happening in the data technology market – a whole lot of reinvention and some innovation, but not where you expect it.
We have the (well-understood) problems that we have, with their (well-understood) limitations and intractabilities.
We deal with them in the world in which they were first codified and framed. Paradigms (world views) change as a function of political, economic, technological, cultural, use and growth, however, and when the world changes we’ll have a criteria for framing not just the problems/shortcomings/intractabilities of the prior paradigm, but that paradigm itself.
At that point, however, it will have ceased to matter because we’ll be dealing with fundamentally new problems/shortcomings/intractabilities.
Data science is a powerful confluence of statistics, software and large datasets, but what does it mean for large corporates, and how can we gain real value by learning from data?
In this high-level presentation, I describe how I see data science fitting into the regular day-to-day processes of banking and insurance: enabling better decision making, improving top-line revenues and automating the mundane. I'll reference a number of real-world projects that we have undertaken to enable clients to learn from their data, improve their product-market fit and improve their business processes.
Viewers will hopefully gain a better appreciation of data science as applied to business operations in finance.
Oracle ACE Director Dan Morgan and PTC Chief Strategy Officer Mark Swanholm, presented this special webinar to discuss Big Data and the choices ahead for organizations. for more details about Performance Tuning Corporation, visit www.peftuning.com .
Organizations are being bombarded with messages telling you that you must make an investment in Big Data, that without it your organization will be rendered obsolete, a mere bystander, on the road to increased growth and profitability.
But do you? How exactly will your organization benefit from Big Data? When do you invest – and does investing in Big Data mean leaving the rest of your data strategy stranded?
Oracle ACE Director Dan Morgan, an internationally recognized expert in database technology and former University of Washington lecturer, and Mark Swanholm, PTC’s Chief Strategy Officer and 22 year IT Veteran, will address the issue of Big Data from the standpoint of what it is, where the value can be found, what is actually required to turn this new technology into something of value.
This Performance Tuning Corporation online event will focus on strategy, management, planning, and budgeting, and will provide you and your management team the information they need to plan make the best possible decision with respect to an investment in Big Data technology.
IBM Watson Content Analytics: Discover Hidden Value in Your Unstructured DataPerficient, Inc.
Healthcare organizations create a massive amount of digital data. Some is stored in structured fields within electronic medical records (EMR), claims or financial systems and is readily accessible with traditional analytics. Other information, such as physician notes, patient surveys, call center recordings and diagnosis reports is often saved in a free-form text format and is rarely used for analytics. In fact, experts suggest that up to 80% of enterprise data exists in this unstructured format, which means a majority of critical data isn’t being considered or analyzed!
Our webinar demonstrated how to extract insights from unstructured data to increase the accuracy of healthcare decisions with IBM Watson Content Analytics. Leveraging years of experience from hundreds of physicians, IBM has developed tools and healthcare accelerators that allow you to quickly gain insights from this “new” data source and correlate it with the structured data to provide a more complete picture.
Every organization has the opportunity to use Big Data in their people strategies. By using analytics tools and Big Data techniques, organizations can now start to develop a “people model” for their teams, as well as understand precisely how these people-related factors relate to business results. They can also use this data to assess organizational risk, leadership pipeline, engagement factors, and impending workforce gaps in the future.
Thwart Fraud Using Graph-Enhanced Machine Learning and AINeo4j
Fraudsters are becoming increasingly sophisticated, organized and adaptive; traditional, rule-based solutions are not broad or nimble enough to deal with this reality. This session will cover several demonstrations and real-world technical examples including preventing credit card fraud, identifying money laundering and reducing false positives.
LEARN ABOUT:
- Reference Architecture – See a framework for building intelligent applications that can sense and respond to increasingly complex fraud attempts.
- Boosting machine learning – Find out how you can combine machine learning with graph technology to improve predictive lift
- Graph algorithms – Hear an overview of algorithms to get started with and uses for fraud analysis
Mohanbir Sawhney, Robert R. McCormick Tribune Foundation Clinical Professor of Technology Kellogg School of Management, Northwestern University presents at the 2012 Big Analytics Roadshow.
Companies are drinking from a fire hydrant of data that is too big, moving too fast and is too diverse to be analyzed by conventional database systems. Big Data is like a giant gold mine with large quantities of ore that is difficult to extract. To get value out of Big Data, enterprises need a new mindset and a new set of tools. They also need to know how to extract actionable insights from Big Data that can lead to competitive advantage. The Big Story of Big Data is not what Big Data is, but what it means for business value and competitive advantage.... read more: http://www.biganalytics2012.com/sessions.html#mohan_sawhney
Smart Data Webinar: Knowledge as a ServiceDATAVERSITY
Building a successful ModernAI application often requires large volumes of data for training ML models or data that has been organized into knowledge using taxonomies or ontologies to support specific vertical markets (healthcare, insurance, pharma, etc.) or horizontal functions (HR, legal, supply chain, etc). While tools do exist to help developers ingest and organize the required data into meaningful knowledge stores, using pre-built data or knowledge packages can make application development faster, more reliable, and less expensive than starting from scratch.
In this webinar we will look at trends and examples of specific proprietary and open source data sets that offer prebuilt knowledge, representations, or models to serve these markets.
Big Data : From HindSight to Insight to ForesightSunil Ranka
When it comes to Analytics and Reporting , There is a fine line between HindSight to Insight to Foresight . With the evolution of BigData technology, there is a need in deriving value out of the larger datasets, not available in the past. Even before we can start using the new shiny technologies, there is a need of understanding what is categorized as reporting or business intelligence or Big Data and Analytics. Based on my experience, people struggle to distinguish between reporting, Analytics, and Business Intelligence.
Why Everything You Know About bigdata Is A LieSunil Ranka
As a big data technologist, you can bet that you have heard it all: every crazy claim, myth, and outright lie about what big data is and what it isn't that you can imagine, and probably a few that you can't.If your company has a big data initiative or is considering one, you should be aware of these false statements and the reasons why they are wrong.
Advanced Business Analytics for Actuaries - Canadian Institute of Actuaries J...Kevin Pledge
Presentation given at the Canadian Institute of Actuaries Annual Meeting in June 2013. Covers the direction business intelligence is moving in for insurance.
What is the impact of Big Data on Analytics from a Data Science perspective.
Presented at the Big Data and Analytics Summit 2014, Nasscom by Mamatha Upadhyaya.
The 20th annual Enterprise Data World (EDW) Conference took place in San Diego last month April 17-21. It is recognized as the most comprehensive educational conference on data management in the world.
Joe Caserta was a featured presenter. His session “Evolving from the Data Warehouse to Big Data Analytics - the Emerging Role of the Data Lake," highlighted the challenges and steps to needed to becoming a data-driven organization.
Joe also participated in in two panel discussions during the show:
• "Data Lake or Data Warehouse?"
• "Big Data Investments Have Been Made, But What's Next
For more information on Caserta Concepts, visit our website at http://casertaconcepts.com/.
How to understand trends in the data & software marketmark madsen
The big challenge most analytics and IT professionals face today is dealing with complexity. Trends are still not clear. It helps to look at the past and current state to understand what’s really happening in the data technology market – a whole lot of reinvention and some innovation, but not where you expect it.
We have the (well-understood) problems that we have, with their (well-understood) limitations and intractabilities.
We deal with them in the world in which they were first codified and framed. Paradigms (world views) change as a function of political, economic, technological, cultural, use and growth, however, and when the world changes we’ll have a criteria for framing not just the problems/shortcomings/intractabilities of the prior paradigm, but that paradigm itself.
At that point, however, it will have ceased to matter because we’ll be dealing with fundamentally new problems/shortcomings/intractabilities.
Data science is a powerful confluence of statistics, software and large datasets, but what does it mean for large corporates, and how can we gain real value by learning from data?
In this high-level presentation, I describe how I see data science fitting into the regular day-to-day processes of banking and insurance: enabling better decision making, improving top-line revenues and automating the mundane. I'll reference a number of real-world projects that we have undertaken to enable clients to learn from their data, improve their product-market fit and improve their business processes.
Viewers will hopefully gain a better appreciation of data science as applied to business operations in finance.
Oracle ACE Director Dan Morgan and PTC Chief Strategy Officer Mark Swanholm, presented this special webinar to discuss Big Data and the choices ahead for organizations. for more details about Performance Tuning Corporation, visit www.peftuning.com .
Organizations are being bombarded with messages telling you that you must make an investment in Big Data, that without it your organization will be rendered obsolete, a mere bystander, on the road to increased growth and profitability.
But do you? How exactly will your organization benefit from Big Data? When do you invest – and does investing in Big Data mean leaving the rest of your data strategy stranded?
Oracle ACE Director Dan Morgan, an internationally recognized expert in database technology and former University of Washington lecturer, and Mark Swanholm, PTC’s Chief Strategy Officer and 22 year IT Veteran, will address the issue of Big Data from the standpoint of what it is, where the value can be found, what is actually required to turn this new technology into something of value.
This Performance Tuning Corporation online event will focus on strategy, management, planning, and budgeting, and will provide you and your management team the information they need to plan make the best possible decision with respect to an investment in Big Data technology.
IBM Watson Content Analytics: Discover Hidden Value in Your Unstructured DataPerficient, Inc.
Healthcare organizations create a massive amount of digital data. Some is stored in structured fields within electronic medical records (EMR), claims or financial systems and is readily accessible with traditional analytics. Other information, such as physician notes, patient surveys, call center recordings and diagnosis reports is often saved in a free-form text format and is rarely used for analytics. In fact, experts suggest that up to 80% of enterprise data exists in this unstructured format, which means a majority of critical data isn’t being considered or analyzed!
Our webinar demonstrated how to extract insights from unstructured data to increase the accuracy of healthcare decisions with IBM Watson Content Analytics. Leveraging years of experience from hundreds of physicians, IBM has developed tools and healthcare accelerators that allow you to quickly gain insights from this “new” data source and correlate it with the structured data to provide a more complete picture.
Every organization has the opportunity to use Big Data in their people strategies. By using analytics tools and Big Data techniques, organizations can now start to develop a “people model” for their teams, as well as understand precisely how these people-related factors relate to business results. They can also use this data to assess organizational risk, leadership pipeline, engagement factors, and impending workforce gaps in the future.
Thwart Fraud Using Graph-Enhanced Machine Learning and AINeo4j
Fraudsters are becoming increasingly sophisticated, organized and adaptive; traditional, rule-based solutions are not broad or nimble enough to deal with this reality. This session will cover several demonstrations and real-world technical examples including preventing credit card fraud, identifying money laundering and reducing false positives.
LEARN ABOUT:
- Reference Architecture – See a framework for building intelligent applications that can sense and respond to increasingly complex fraud attempts.
- Boosting machine learning – Find out how you can combine machine learning with graph technology to improve predictive lift
- Graph algorithms – Hear an overview of algorithms to get started with and uses for fraud analysis
Mohanbir Sawhney, Robert R. McCormick Tribune Foundation Clinical Professor of Technology Kellogg School of Management, Northwestern University presents at the 2012 Big Analytics Roadshow.
Companies are drinking from a fire hydrant of data that is too big, moving too fast and is too diverse to be analyzed by conventional database systems. Big Data is like a giant gold mine with large quantities of ore that is difficult to extract. To get value out of Big Data, enterprises need a new mindset and a new set of tools. They also need to know how to extract actionable insights from Big Data that can lead to competitive advantage. The Big Story of Big Data is not what Big Data is, but what it means for business value and competitive advantage.... read more: http://www.biganalytics2012.com/sessions.html#mohan_sawhney
Big Data Trends - WorldFuture 2015 ConferenceDavid Feinleib
David Feinleib's Big Data Trends presentation from the World Future Society's Annual Conference, WorldFuture 2015, held at the Hilton Union Square, San Francisco, California July 25, 2015.
An introduction to big data.
What's big data, why we'd want it , how is it applicable to CSPs, short intro to Hadoop
(some of the info is in the slide notes)
Apache Hive provides SQL-like access to your stored data in Apache Hadoop. Apache HBase stores tabular data in Hadoop and supports update operations. The combination of these two capabilities is often desired, however, the current integration show limitations such as performance issues. In this talk, Enis Soztutar will present an overview of Hive and HBase and discuss new updates/improvements from the community on the integration of these two projects. Various techniques used to reduce data exchange and improve efficiency will also be provided.
introduction to data processing using Hadoop and PigRicardo Varela
In this talk we make an introduction to data processing with big data and review the basic concepts in MapReduce programming with Hadoop. We also comment about the use of Pig to simplify the development of data processing applications
YDN Tuesdays are geek meetups organized the first Tuesday of each month by YDN in London
Hadoop, Pig, and Twitter (NoSQL East 2009)Kevin Weil
A talk on the use of Hadoop and Pig inside Twitter, focusing on the flexibility and simplicity of Pig, and the benefits of that for solving real-world big data problems.
Big Data - The 5 Vs Everyone Must KnowBernard Marr
This slide deck, by Big Data guru Bernard Marr, outlines the 5 Vs of big data. It describes in simple language what big data is, in terms of Volume, Velocity, Variety, Veracity and Value.
Vilka framgångsfaktorer har allra störst inverkan på skapandet av den optimala kundupplevelsen? Utnyttja denna information för att på ett smartare sätt förstå, förutsäga och påverka kundernas beteende.
Robert Moberg, Prediktiv Analysexpert, IBM Sverige
ROI And The Business Value Of Information ArchitectureEric Reiss
The information architecture community thinks business leaders want proof of ROI. But they don't. Firstly, the IA doesn't use the term correctly. Secondly, the business world is looking for trustworthy partners, not MBAs.
How Data Science Builds Better Products - Data Science Pop-up SeattleDomino Data Lab
Data Science and Big Data are ushering in a new era in adaptive applications that learn from large and varied datasets and adjust their features based on the changing environment. This talk will look at how Data Science can be successfully bridged with Big Data Architectures and Agile Software Delivery to create a new class of software that answers the demands of today's rapidly-changing enterprises. Practical techniques and real-world case studies will highlight the approaches required to successfully build these exciting new enterprise tools. Presented by Sean McClure, Ph.D. Data Scientist, Senior Consultant at ThoughtWorks.
Presentation given by Ravi Makhija, Chief Operating Officer, SAS Institute (India) Pvt Ltd on August 3rd, 2011 at eWorld Forum (www.eworldforum.net) in the session Urban Governance and Infrastructure
How to become an Analytics-driven organization - and why bother? - IBM Smarte...IBM Sverige
Presentation från IBM Smarter Business 2011. Spår: IBM Cognos Performance.
Information is the oil of the future. It will be the resource running our economy in ways not possible in the past. In this era of extreme information organizations need to understand how to find the information that really matters and how to draw intelligence from it. They need to become Analytics-driven.
Talare: Juha Teljo, Business Analytics Executive.
Mer information på www.smarterbusiness.se
Simplify data analysis dashboards for timely and informed decision making. Kavaii offers combined BI and predictive indicators to monitor and improve business performance, project peformance, sales performance, quality peformance, hospital performance, etc.
Knowledge From Crowds - Better with Institutions + AlgorithmsShaun Abrahamson
Crowds can support learning and knowledge creation. A framework using institutions and algorithms can help assure good outcomes - Wikipedia, Edx.org and Giffgaff are used to explain the framework.
Presentation for KM 2012 in Sao Paulo, Brazil.
SAS Big Data Forum - Transforming Big Data into Corporate GoldLouis Fernandes
Synopsis: How SAS believes organisations can turn Big Data in to competitive advantage through the use of High Performance Analytics.
In this presentations, we look at how SAS is seeing organisations take the outputs from big data analysis and turn them into tangible business outcomes through real-time decision-making.
In it, we explore:
- Why we believe organisations need to exploit their data assets to create the insights that build competitive advantage
- How to develop infrastructures required to support multi-dimentsional insight
- What SAS is doing to make this a reality
Key topics include:
- Data governance
- Big data infrastructure
- High performance analytics
- Data visualisation
About SAS:
- World’s largest, privately held software company,
- 35 years old
- Focus on advanced and predictive analytics right from the word go
- Big data has been in our DNA before it became mainstream
Razorfish Multi-Channel Marketing: Better Customer Segmentation and TargetingTeradata Aster
Matt Comstock, Vice President Business Intelligence Office, Razorfish, presents at the Big Analytics 2012 Roadshow.
From search to email to social, customers are interacting with your brand across a variety of channels. But what do people do once they view an advertisement or get an email? What common behaviors are displayed once they’re on your site? By combining media exposure/behavior, site-side media, and in-store purchase data, you can understand better the impact media has on driving value to your business. Come to this session to learn how better data-driven multi-channel analysis lets you see what consumers do before they become a customer to understand what content influences which segments of users by media audience. Discover new segmentation and targeting strategies to improve engagement with your brand and increase advertising lift. See how a leader in digital marketing uses a combination of technologies including Teradata Aster, Hadoop, and Amazon Web Services to handle big data and provide big analytics to improve business value.
Using Data to Manage in Today’s Chaotic EnvironmentTeradata Aster
DJ Patil, Data Scientist, Greylock Partners, presents at the Big Analytics 2012 Roadshow in San Francisco.
The ability to manage and leverage data has never been more critical to business. At the same time, the volume and types of data have grown dramatically in the past few years. The choices for technologies, people, and processes are complex. In this keynote session, Dr.DJ Patil will talk about how to manage through all this chaos.
This data is from registrants for the Big Analytics 2012 events. The survey asked participants to classify themselves as “business” or “IT”.
Survey details:
Number of survey respondents and date -
San Francisco (April) = 507
Boston (May)= 322
Chicago (June) = 441
New York (Dec) = 894
TOTAL = 2164
Bill Franks, Chief Analytics Officer, Teradata, presents at the 2012 Big Analytics Roadshow.
As enterprises come to understand the value of analytics, more support and funding is being allocated to build these departments. Managers are now faced with the challenge of who to hire. What exactly makes a great analytic professional? Is a Data Scientist a "must have"? Should a candidate have a PhD? Is prior experience in a specific industry vital? Just what is the right fit when creating a successful team? The answers to these questions are still unclear as the value of analytics continues to grow.
In this session, Bill Franks, author of the book, Taming the Big Data Tidal Wave, addresses these and many more questions as he defines the characteristics of high-performing data scientists and great analytics teams.
Practical Applications of Visual AnalyticsTeradata Aster
Dustin Smith, Community Manager, Tableau Software, presents at the 2012 Big Analytics Roadshow.
Organizations now have the ability to store and process massive amounts of data like never before. And there are huge expectations for turning data into a fundamental driver for business transformation and competitive advantage.
Visual analytics is helping everyday employees gain insight into data in order to solve unexpected problems and challenges, it is changing the way people interact with data and the way business intelligence is defined in organizations. In this presentation, we will share real-world examples of how everyday people can and are using visual analytics to solve some of businesses most challenging issues.
Trust and Influence in the Complex Network of Social MediaTeradata Aster
William Rand, University of Maryland, presents at the 2012 Big Analytics Roadshow.
The dramatic feature of social media is that it gives everyone a voice; anyone can speak out and express their opinion to a crowd of followers with little or no cost or effort, which creates a loud and potentially overwhelming marketplace of ideas. The good news is that the organizations have more data than ever about what their consumers are saying about their brand. The bad news is that this huge amount of data is difficult to sift through. We will look at developing methods that can help sift through this torrent of data and examine important questions, such as who do users trust to provide them with the information and the recommendations that they want? Which tastemakers have the greatest influence on social media users? Using agent-based modeling, machine learning and network analysis we begin to examine and shed light on these questions and develop a deeper understanding of the complex system of social media.
Big Brands Meet Big Data – The Newest Innovator’s DilemmaTeradata Aster
Marc Parrish, Vice President, Retention & Loyalty Marketing, Barnes & Noble, presents at the 2012 Big Analytics Roadshow.
Big Data is moving too fast for Big Brands. They don't have the ability to technically pivot, to move quickly enough to take advantage of the astounding amount of customer information that's available, and make it part of their everyday practices. This poses a great risk to the world’s great retailers. Well-managed companies often fail because the very same management practices that made them industry leaders also make it difficult to assimilate the disruptive technologies that in the end allow others to steal their market.
With Big Data, the gap between merely sustaining your operations, and adopting disruptive technologies, is the difference between progress, or perish.
Simplifying Big Data Analytics for the BusinessTeradata Aster
Tasso Argyros, Co-Founder & Co-President, Teradata Aster presents at the 2012 Big Analytics Roadshow.
The opportunity exists for organizations in every industry to unlock the power of iterative, big data analysis with new applications such as digital marketing optimization and social network analysis to improve their bottom line. Big data analysis is not just the ability to analyze large volumes of data, but the ability to analyze more varieties of data by performing more complex analysis than is possible with more traditional technologies. This session will demonstrate how to bring the science of data to the art of business by empowering more business users and analysts with operationalized insights that drive results. See how data science is making emerging analytic technologies more accessible to businesses while providing better manageability to enterprise architects across retail, financial services, and media companies.
Evaluating Big Data Predictive Analytics PlatformsTeradata Aster
Mike Gualtieri, Principal Analyst, Forrester Research, presents at the Big Analytics Roadshow, 2012 in New York City on December 12, 2012
Presentation title: Evaluating Big Data Predictive Analytics Platforms
Abstract: Great. You have Big Data. Now what? You have to analyze it to find game-changing predictive models that you can use to make smart decisions, reduce risk, or deliver breakthrough customer experiences. Big Data Predictive Analytics solutions are software and/or hardware solutions that allow firms to discover, evaluate, optimize, and deploy predictive models by analyzing big data sources. In this session, Forrester Principal Analyst Mike Gualtieri will discuss the key criteria you should use to evaluate Big Data Predictive Analytics platforms to meet your specific needs.
Keynote: Cross Industry Lessons from Moneyball AnalyticsTeradata Aster
Ari Kaplan keynote presentation at the Big Analytics Roadshow, 2012 in New York City on December 12, 2012
Presentation title: "Cross Industry Lessons from Moneyball Analytics", by Ari Kaplan, "Moneyball" advisor to Major League Baseball teams and President of AriBall
Ari Kaplan is a leading figure in sports analytics. Known throughout the Major Leagues for revolutionizing and modernizing player assessment, Ari's use of analytics and technology helps coaches prepare for games, players understand their strengths and weaknesses, General Managers forecast future performance and risk of player contracts and draft picks, and more.
In this presentation, Kaplan discusses how professional sports teams and players use analytics and data visualization in the Major Leagues. Through his 23 years of experience in over half of all MLB organizations, he will discuss the changes that took place and where analytics will continue to innovate in the future.
Technology Strategies for Big Data Analytics, Teradata Aster
SAS Presentation delivered at the Big Analytics Roadshow, 2012 in New York City on December 12, 2012
Presentation title: Technology Strategies for Big Data Analytics, by Bernard Blais, Global Strategist and Principal Manager, SAS
The exploding volume, complexity and velocity of big data present an increasing challenge to organizations, but also a significant opportunity to derive valuable insights. As organizations are tasked with managing massive data sets, it’s clear that the value of big data will be derived from the analytics that can be performed on it. Analytics is the key to identifying patterns, managing risks and tackling previously unsolvable problems. This presentation provides an overview of how to comprehensively tackle big data, including emerging strategies for information management, analytics, and high performance analytics.
Using SQL-MapReduce for Advanced AnalyticsTeradata Aster
Industry analyst Rick van der Lans explains how Aster Data's patent-pending SQL-MapReduce programming framework makes new types of analytic queries possible. The main benefits he outlines are: Parallelization of complex operations; Simplification of queries; Predictabile query performance; Efficient data access; and Linear scalability.
Check out Rick's complimentary research report at http://www.asterdata.com/ar_SQL-MapReduce_for_Advanced_Analytics/, in which he provides a very clear technical explanation of SQL-MapReduce and its analytic application use cases.
3. Our Decision Makers
“I love to
connect
the dots to
“I love to find unique find out
anomalies that have not what is
been discovered yet!” driving our
growth
and why!”
“I love to
monitor
the health
of our
global
operations
with
confidence
and tell
great
stories to
our BoD”
4. Is Customer Brand
improving with last Business
months’ new Motors Marketing
campaign from our Manager
Motors Mobile
Application?
What is the latest
revenue projection for
our coupon campaigns
targeted to enhance
Fashion Search for
large retailer listings?
7. Source: McKinsey Global Institute
“Big data: The next frontier for innovation, competition, and productivity”
8. What Makes it Happen?
Lots & Lots & Lots of Data
at eBay
9. BIG Data VVC
>50 TB/day new data >100k data elements
>100 Trillion pairs of information
>100 PB/day Processed
>50k chains of logic
>7500
business users & analysts
Active/Active
turning over a TB every second
24x7 x365 Millions of queries/day
Always online
99.98+% Availability
Near-Real-time
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10. Who Makes it Happen with
Extreme Analytics at eBay?
11. Researcher Analyst
“I love to
$ “I love to find unique $$ connect
anomalies that have not the dots
been discovered yet!” to find
out what
PM & BM is driving
our
$$$ “I love to
monitor growth
the health and why!”
of our
global
operations
with
confidence
and tell Management &
great Executives
stories to
$$$$
our BoD”
Decision Makers…
12. Capacity Facilities Customer
Procurement
Planning Support
Fraud
Finance Search
Operations
Strategy
Marketing Corporate
Legal
Shipping Supply Chain
HR
IT
Independent Data Marts = Silo Intelligence…
13. 500+ 150+ 5-10
concurrent users concurrent users concurrent users
Analyze & Report
Discover & Explore
Structured Semi-structured Unstructured
SQL SQL++ JAVA / C
Production Data Warehousing Contextual-Complex Analytics Structure the Unstructured
Large Concurrent User-base Deep, Seasonal, Consumable Data Sets Detect Patterns
Enterprise-class System Low End Enterprise-class System Commodity Hardware System
EDW Singularity Hadoop
6+PB 40+PB 20+PB
Data Storage & Processing Platforms
15. What is Why is it How to take
happening?* happening?* action?
Harmony Symphony Melody
Informative Enlightened Actionable Opportunistic
Measurements Reasonings Recommendations Decisions
• Iterate…Test-What If…Collaborate-Share
• Trust • Timely
• Quality • Context
Key Questions to Make Informed Decisions
16. Informative Opportunistic
Measurements Decisions
Harmony-Class
Insights
Harmony Vertical (Customer/Inventory)
Harmony Health – Finance & Marketing
50,000 ft
• Cross-Function Metrics
• Business Performance
Summaries
• Personalize views:
• Dimensions
• Attributes
• Deep Dive to Summarized Explore Cube
Data
Harmony Search & Harmony Trading & Trust
Behavior
Quick…Easy…”Personalizable”…”Business-blessed”
18. Data
Customer Inventory Trading Search Enabling
Services
… …
• Dashboards • Summary Tables
• Reports • Aggregate Tables
• Views • In-Memory Caches
• Metrics • Data Feeds
• Measurements The DataHub Portal • Data Files
• Base Tables
Front End Back End
Analytic Assets Analytic Assets
ODW
EDW Singularity Hadoop
Analytic Assets
19. Health Product Customer Inventory Behavior Search Trading Trust
Product Product Product Product Product Product
Harmony
Front End
(4 only)
Symphony
Front End
(1-3)
Common Dimensional Model
Symphony
Back-End
Insights Products
20. Q1 Q2 Q3 Q4
Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec
Health Harmony Harmony Health v3.2 Harmony Health v3.4 Harmony Health v3.6
Insights Health v3.0 3.0 4.0
Symphony v3.3 Symphony v3.5 Symphony v3.7 Symphony v3.9
Trading Symphony
Symphony v0.11 Symphony v1.3 Symphony v1.5 Symphony v1.13 Symphony v1.17
Insights 1.7
Symphony Symphony
Symphony v1.15
Harmony 1.9 v1.11
Trading 1.0 Harmony Trading v1.2 Harmony Trading v1.4 Harmony Trading v1.6 2.0
v1.0
Trust Insights Symphony v0.9
Symphony v1.3 Symphony v1.5 Symphony v1.7 Symphony v1.9
…
• Extends value over time
• Adapt & make available quickly
• Continuous quality
Product Roadmap
22. Designing for the Unknown
>85% of eBay analytical workload is NEW & Unknown
The metrics you know are cheap
The metrics you don’t know are expensive – but high in
potential ROI
Exploration & Testing are core pillars of an analytics-
driven organization
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23. Hypothesis
Ideas Assumptions
Algorithm
Pattern Guesses
Simulation
Behavioral
More Better Better
Tests Tests Decisions
Ownership & Confidence
Attribution
Machine
Advanced Learning
Experimentation: Build From Idea Up
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