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



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

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

Becoming Data Driven 101: Planning for Success

Using Big Data Analytics to

Forward Thinking for Tomorrow s Projects Requirements for Business Analytics

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

Apache Hadoop Patterns of Use

IS 592 Big Data Analytics Spring 2014

Extend your analytic capabilities with SAP Predictive Analysis

UNLEASHING THE VALUE OF THE TERADATA UNIFIED DATA ARCHITECTURE WITH ALTERYX

Real World Application and Usage of IBM Advanced Analytics Technology

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

End Small Thinking about Big Data

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

TEXT ANALYTICS INTEGRATION

Using Predictive Analytics to Increase Profitability Part II

Pascal Clement Head of Travel Intelligence June 2013

Intelligence-Driven Security

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

Requirements for Business Analytics

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

How To Handle Big Data With A Data Scientist

Data Virtualization A Potential Antidote for Big Data Growing Pains

The Business Analyst s Guide to Hadoop

The Missing Data Scientists.

Big data, true to its name, deals with large

Evaluating Predictive Analytics for Capacity Planning. HIC 2015 Andrae Gaeth

RC & CREATING DATA PRIVACY OPPORTUNITIES USING BIG IN EUROPE DATA AND ANALYTICS. risk compliance RISK & COMPLIANCE MAGAZINE.

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

[ know me ] A Strategic Approach to Customer Engagement Optimization

The ESB and Microsoft BI

Disrupt or be disrupted IT Driving Business Transformation

UNIFY YOUR (BIG) DATA

Big Data for Marketing:

Preparing for the Big Data Journey

Best practices for managing the data warehouse to support Big Data

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

Using Predictive Analytics to Increase Profitability Part III

MapR: Best Solution for Customer Success

BUSINESS INTELLIGENCE. Keywords: business intelligence, architecture, concepts, dashboards, ETL, data mining

Industry Data Model Solution for Smart Grid Data Management Challenges

Driving Business Value with Big Data and Analytics

University of Kentucky Leveraging SAP HANA to Lead the Way in Use of Analytics in Higher Education

Data Warehouse Overview. Srini Rengarajan

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

What the Hell is Big Data?

Modern Data Warehouse

Microsoft Services Exceed your business with Microsoft SharePoint Server 2010

Predictive Analytics Certificate Program

How To Understand Business Intelligence

Getting Started Practical Input For Your Roadmap

IS NATURAL LANGUAGE THE FUTURE OF BUSINESS INTELLIGENCE?

Customer intelligence: Part I Why banks are turning to analytics?

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

MACHINE LEARNING BASICS WITH R

Unlock the business value of enterprise data with in-database analytics

BIG DATA THE NEW OPPORTUNITY

A Strategic Approach to Unlock the Opportunities from Big Data

Challenges of Analytics

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

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

BIG DATA I N B A N K I N G

Why is Internal Audit so Hard?

Building Your Big Data Team

[ know me ] A Strategic Approach to Customer Engagement Optimisation

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

Game On: How Information is Changing the Rules of Insurance

IBM Content Analytics adds value to Cognos BI

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

BIG DATA & DATA SCIENCE

> Cognizant Analytics for Banking & Financial Services Firms

Bring your data to life with Microsoft Power BI. Peter Myers Bitwise Solutions

BUSINESS INTELLIGENCE COMPETENCY CENTER

At a recent industry conference, global

Why Most Big Data Projects Fail

Predictive Marketing. Digital Intelligence. Igniting Customer Engagement.

Transcription:

GIL 2012: Silicon Valley Bill Franks, Chief Analytics Officer, Global Alliances, Teradata & Author, Taming The Big Data Tidal Wave (Wiley, April 2012) Future-proofing Performance and Profitability: Success = Taming the Big Data Tidal Wave Key Take-Aways: Focus should be on the value of big data, not technical points Leveraging big data will require changing some long-held paradigms Many big data sources provide totally new information, which can lead to huge competitive advantage for the first to analyze them

Is The Big Part Or The Data Part More Important? The Big Part The Data Part 2 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

Fancy Analysis Earlier Today Predicted These Results 60% 50% 40% 30% 20% 10% 0% What s The Most Important Part Of Big Data? "Big" "Data" Both Neither 3 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

Is The Big Part Or The Data Part More Important? As always, the answer is neither! What you do with big data is most important Many people are losing sight of this fact with big data The Big Part The Data Part 4 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. 5 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 6 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

New Sources For Insights Across Industries 7 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

Big Data Can Impact Manufacturing Businesses Today Real-Time, Tactical Opportunities Long-Term, Strategic Opportunities Safety Monitoring Early Warning Patterns Health Monitoring Impacts Of Environmental Variation 8 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

What Makes Big Data Different? > In a manufacturing environment, often generated by a sensor > 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 9 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

New Paradigm: Letting Some Data Go 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 10 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 11 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 12 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

Why Should Manufacturers Get Started Today? > Being the first to use a new data source lets you be the first to fully exploit the value it offers > Make your processes safer and more reliable > Enable the identification of novel, unanticipated uses for the data after it is collected 13 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

How Do You Get Started? > Collect some data, such as sensor 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 14 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 15 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! 16 Proprietary and Confidential to Teradata and Bill Franks. Do not distribute without permission.

In my entire career of researching and lecturing on analytics, I have never encountered a book that combines the knowledge of both information technology & business managers in such a succinct way. Diego Klabjan, Professor Northwestern Univ. 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 Bill.Franks@Teradata.com @BillFranksGA www.bill-franks.com www.linkedin.com/in/billfranksga www.youtube.com/user/billfranksga/videos?view=1 www.tamingthebigdatatidalwave.com