Cutting Through The Hype: What You Need To Know About Big Data



Similar documents
Focus should be on the value of big data, not technical points. Leveraging big data will require changing some long-held paradigms

Putting Big Data To Work. Bill Franks Chief Analytics Officer, Teradata August 2014

Apache Hadoop Patterns of Use

Becoming Data Driven 101: Planning for Success

Using Big Data Analytics to

TEXT ANALYTICS INTEGRATION

Extend your analytic capabilities with SAP Predictive Analysis

Intelligence-Driven Security

Forward Thinking for Tomorrow s Projects Requirements for Business Analytics

BIG DATA: FROM HYPE TO REALITY. Leandro Ruiz Presales Partner for C&LA Teradata

Pascal Clement Head of Travel Intelligence June 2013

Understanding Data Warehouse Needs Session #1568 Trends, Issues and Capabilities

IS 592 Big Data Analytics Spring 2014

Building Your Big Data Team

BIG DATA. Value 8/14/2014 WHAT IS BIG DATA? THE 5 V'S OF BIG DATA WHAT IS BIG DATA?

End Small Thinking about Big Data

Management Accountants and IT Professionals providing Better Information = BI = Business Intelligence. Peter Simons peter.simons@cimaglobal.

IS NATURAL LANGUAGE THE FUTURE OF BUSINESS INTELLIGENCE?

Real World Application and Usage of IBM Advanced Analytics Technology

BIG DATA: PROMISE, POWER AND PITFALLS NISHANT MEHTA

At the top of Gartner s famed hype cycle, the

UNLEASHING THE VALUE OF THE TERADATA UNIFIED DATA ARCHITECTURE WITH ALTERYX

How To Understand Business Intelligence

Big Data Architecture & Analytics A comprehensive approach to harness big data architecture and analytics for growth

Integrated Big Data: Hadoop + DBMS + Discovery for SAS High Performance Analytics

Big data, true to its name, deals with large

Requirements for Business Analytics

Howe School of Technology Management. Applied Analytics in a World of Big Data. Business Intelligence and Analytics (BI&A) Proposed Course #: BIA 686

The Enterprise Data Hub and The Modern Information Architecture

Why is Internal Audit so Hard?

UNIFY YOUR (BIG) DATA

Mike Maxey. Senior Director Product Marketing Greenplum A Division of EMC. Copyright 2011 EMC Corporation. All rights reserved.

IBM Content Analytics adds value to Cognos BI

Predictive Marketing. Digital Intelligence. Igniting Customer Engagement.

Challenges of Analytics

Data Science Certificate Program

Disrupt or be disrupted IT Driving Business Transformation

ESS event: Big Data in Official Statistics. Antonino Virgillito, Istat

A Presentation for the American Constitution Society by Donya Khalili.

Data Virtualization A Potential Antidote for Big Data Growing Pains

Big Data for Marketing & Sales: Data Accuracy to Business Impact

Predictive Analytics Certificate Program

Hexaware E-book on Predictive Analytics

Company Portrait INFOMOTION GmbH. Frankfurt, April 2016

The Lab and The Factory

Data Virtualization: Achieve Better Business Outcomes, Faster

The Big Data Deluge: Creating Serious Business Problems. Analytics: Harnessing Big Data Deluge to Acquire Business Power

7 Best Practices for Speech Analytics. Autonomy White Paper

Big Data and Data Science. The globally recognised training program

Analytics A survey on analytic usage, trends, and future initiatives. Research conducted and written by:

Analytics Industry Trends Survey. Research conducted and written by:

Industry Models and Information Server

Preparing for the Big Data Journey

BUSINESS ANALYTICS. Overview. Lecture 0. Information Systems and Machine Learning Lab. University of Hildesheim. Germany

The ESB and Microsoft BI

Applied Analytics in a World of Big Data. Business Intelligence and Analytics (BI&A) Course #: BIA 686. Catalog Description:

Up Your R Game. James Taylor, Decision Management Solutions Bill Franks, Teradata

Best practices for managing the data warehouse to support Big Data

Certified Big Data Science Professional (CBDSP)

Big Data Realized: Developing New Data-Driven Products and Services to Drive Growth

Data Mining with Qualitative and Quantitative Data

BUSINESS INTELLIGENCE COMPETENCY CENTER

Accenture Interactive Point of View Series. Marketing Analytics Being data smart requires a culture change to realize business benefits

Big Data and Data Science: Behind the Buzz Words

Big Data in Healthcare: Myth, Hype, and Hope

IBM BigInsights for Apache Hadoop

IBM Software Insights for the new chief data officer

Using Predictive Analytics To Drive Workforce Optimization. New Insights From Big Data Analysis Uncover Key Drivers of Workforce Profitability

BIG DATA & DATA SCIENCE

Transcription:

Cutting Through The Hype: What You Need To Know About Big Data Bill Franks Chief Analytics Officer, Global Alliances, Teradata Bill.Franks@Teradata.com @BillFranksGA www.bill-franks.com www.linkedin.com/in/billfranksga www.youtube.com/user/billfranksga www.tamingthebigdatatidalwave.com

The Missing V For Big Data The most important V of big data is often overlooked: The 4 th V is Value The other stuff doesn t matter if there isn t any value derived! Source: CEO Advisory: Big Data Equals Big Opportunity, Gartner, 31 March 2011. 2 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

New Sources For Insights Across Industries 3 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

The Big Data Tidal Wave Is Coming Is your organization ready to tame it? Source: CEO Advisory: Big Data Equals Big Opportunity, Gartner, 31 March 2011. 4 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

The Right People And Skills Are Still Critical Analyst ETL Specialist Data Scientist System Admin Statistician BI Professional Predictive Modeler Architect Advanced Analytics Consultant Business Professional Data Miner 5 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

What Makes Big Data Different? > Often automatically generated by a machine > It is typically an entirely new source of data As opposed to an extended collection the same old data > It is not always designed to be friendly, if it is designed at all > Large swaths of big data may not have a lot of value 6 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

How Is Handling Big Data Different? Much big data doesn t matter... It is like sipping from a hose Let much of it go and reduce it to a manageable size 7 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

Why Nobody Is Really Analyzing Unstructured Data Very few methodologies directly analyze unstructured data Unstructured data is usually pre-processed so that some structure can be applied to it The result is highly structured & much smaller than the source Match!!! However, the match is using a highly structured shape, not the print itself 8 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

Structure Is Applied To Text Data For Analysis Purposes The new Platinum Line is very good. It is even better than XYZ Corp s product! Information Extracted: Who? Bill Franks (customer 123456) When? 12:00 on 7/7/2012 Mentioned Platinum Line? Yes = 1 Sentiment positive? Yes = 1 Compared to competition favorably? Yes = 1 Mentioned New Promotion? No = 0 9 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

Getting Started: Start Small With Big Data! > Collect some big data and start analyzing it > Expect a large amount of effort to go to figuring the data out > Focus on a some quick wins that prove the data s value 10 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

How Do You Get The Most Value From Big Data? Make big data another facet of an enterprise data & analytics strategy Develop standards for format, input, and usage of big data Combine it with other data sources 11 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

Today s Big Data Is Not Tomorrow s Big Data! Big data will only get bigger and more powerful over time Tame it now and be prepared for the next wave! 12 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

This Talk Was Based On Part 1! In my entire career of researching and lecturing on analytics, I have never encountered a book that combines the knowledge of both information technology and business managers in such a succinct way. Diego Klabjan, Professor at Northwestern University; Director, Master of Science in Analytics This book, then, puts the focus squarely where it belongs in my opinion. It s primarily about the effective analysis of big data - Tom Davenport, Author, Competing on Analytics This is a one-stop handbook for anyone who wants to understand what big data is and how to leverage it through advanced analytic processes and methods... Stuart Aitken, CEO, dunnhumby USA 13 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

THANK YOU! Bill Franks Chief Analytics Officer, Global Alliances, Teradata Bill.Franks@Teradata.com @BillFranksGA www.bill-franks.com www.linkedin.com/in/billfranksga www.youtube.com/user/billfranksga www.tamingthebigdatatidalwave.com