Big Data Use Case Deep Dive 5 Game Changing Use Cases for Big Data

Size: px
Start display at page:

Download "Big Data Use Case Deep Dive 5 Game Changing Use Cases for Big Data"

Transcription

1 Big Data Use Case Deep Dive 5 Game Changing Use Cases for Big Data

2 Disruptive forces impact long standing business models across industries Pressure to do more with less Shift of power to the consumer Proliferation of big data 2 Data is the new oil. Data is just like crude. It s s valuable, but if unrefined it cannot really be used. Clive Humby We have an economy based on a resource that is not only renewable, but self-generating. Running out is not a problem, drowning in it is. John Naisbitt

3 The demand for big data solutions is real The healthcare industry spends roughly $250 billion on healthcare fraud, per year. By 2016, this could grow to more than $400 billion a year. 1 One rogue trader at a leading global financial services firm created $2 billion worth of losses, almost bankrupting the company. $93 billion in total sales is missed each year because retailers don t have the right products in stock to meet customer demand. 6 billion global subscribers in the telco industry are demanding unique and personalized offerings that match their individual lifestyles. 2 Source: 1. FBI Financial Crimes Report UN Telecom Agency Report, Oct

4 The fact is analysis is expanding from enterprise data to big data, creating new cost-effective opportunities for competitive advantage Traditional Approach Structured, analytical, logical New Approach Creative, holistic thought, intuition Transaction Data Internal App Data Mainframe Data OLTP System Data ERP Data Data Warehouse Structured Repeatable Linear Traditional Sources Hadoop and Streams Unstructured Exploratory Dynamic New Sources Multimedia Web Logs Social Data Text Data: s Sensor data: images RFID 4

5 A recent Institute for Business Value study highlights how organizations are adopting big data in four phases Big data adoption When segmented into four groups based on current levels of big data activity, respondents showed significant consistency in organizational behaviors Total respondents n = 1061 Totals do not equal 100% due to rounding 5

6 And everyone can develop and leverage big data it s not just for data scientists Business Users...offer personalized price promotions to different customer segments in real-time Administrators...secure, manage, and optimize data access and analysis operations GPS External Data Business Executives...get real-time reports and analysis based on data inside as well as outside the enterprise (web, social media etc.) Business Development... find and deliver new mechanisms to monetize network traffic and partner with upstream content providers 6 Data Scientists... analyze subscriber usage pattern in realtime and combine that with the profile for delivering promotional or retention offers Business Analysts... analyze social media buzz for the new services/offerings to gauge initial success and any course correction needed Developers... develop new Apps and detailed algorithms in response to user and business requirements

7 The 5 Key Use Cases Big Data Exploration Find, visualize, understand all big data to improve decision making Enhanced 360 o View of the Customer Extend existing customer views (MDM, CRM, etc) by incorporating additional internal and external information sources Security/Intelligence Extension Lower risk, detect fraud and monitor cyber security in real-time Operations Analysis Analyze a variety of machine data for improved business results Data Warehouse Augmentation Integrate big data and data warehouse capabilities to increase operational efficiency 7

8 1. Big Data Exploration Explore and mine big data to find what is interesting and relevant to the business for better decision making Requirements Explore new data sources for potential value Mine for what is relevant for a business imperative Assess the business value of unstructured content Uncover patterns with visualization and algorithms Prevent exposure of sensitive information Industry Examples Customer service knowledge portal Insurance catastrophe modeling Automotive features and pricing optimization Chemicals and Petroleum conditioned base maintenance Life Sciences drug effectiveness 8

9 1. Big Data Exploration: In Practice Exploration User Experience Analytics Experience Application Builder Integration & Governance Streams BigInsights Data Explorer Warehouse Connector Framework CM, RM, DM RDBMS Feeds Web 2.0 Web CRM, ERP File Systems 9

10 2. Enhanced 360º View of the Customer Optimize every customer interaction by knowing everything about them Requirements Create a connected picture of the customer Mine all existing and new sources of information Analyze social media to uncover sentiment about products Add value by optimizing every client interaction Industry Examples Smart meter analysis Telco data location monetization Retail marketing optimization Travel and Transport customer analytics and loyalty marketing Financial Services Next Best Action and customer retention Automotive warranty claims 10

11 2. Enhanced 360º View of the Customer: In Practice SOURCE SYSTEMS CRM Name: J Robertson Address: 35 West 15 th Address: Pittsburgh, PA Cognos BI Cognos Consumer Insight ERP Name: Janet Robertson Address: 35 West 15 th St. Address: Pittsburgh, PA Legacy Name: Address: Jan Robertson 36 West 15 th St. Address: Pittsburgh, PA o View of Party Identity InfoSphere Data Explorer InfoSphere MDM First: Last: Address: City: State/Zip: Gender: Age: DOB: Janet Robertson 35 West 15 th St Pittsburgh PA / F 48 1/4/64 BigInsights Streams Warehouse Unified View of Party s Information 11

12 3. Security and Intelligence Extension: Enhance traditional security solutions to prevent crime by analyzing all types and sources of big data 12 Requirements Enhanced Intelligence and Surveillance Insight Real-time Cyber Attack Prediction and Mitigation Crime Prediction and Protection Analyze data-in-motion and at rest to: Find associations Uncover patterns and facts Maintain currency of information Analyze network traffic to: Discover new threats sooner Detect known complex threats Take action in real-time Analyze telco and social data to: Gather criminal evidence Prevent criminal activities Proactively apprehend criminals Industry Examples Government threat and crime prediction and prevention Insurance claims fraud

13 3. Security/Intelligence Extension: Diagram I2 Analyst s Notebook Connectors Network Telemetry Monitoring Appliance (Optional) Real-time Ingest & Processing InfoSphere Streams Video/audio Network Geospatial Predictive Big Data Storage & Analytics InfoSphere BigInsights Data Warehouse Deep analytics Operational analytics Criminal Information Tracking System Surveillance Monitoring System Guardium Data Activity Monitoring Connectors Text and entity analytics Data mining Machine learning Large scale structured data management Security Info & Event Mgmt (SIEM) Flow of Data 13

14 4. Operations Analysis: Needs Apply analytics to machine data for greater operational efficiency Requirements Analyze machine data to identify events of interest Apply predictive models to identify potential anomalies Combine information to understand service levels Monitor systems to avoid service degradation or outages Industry Examples Automotive advanced condition monitoring Chemical and Petroleum condition-based Maintenance Energy and Utility condition-based maintenance Telco campaign management Travel and Transport real-time predictive maintenance 14

15 4. Operations Analysis: Diagram Raw Logs and Machine Data Only store what is needed Data Security & Monitoring Machine Data Accelerator Indexing, Search Statistical Modeling Root Cause Analysis Real-time Analysis Federated Navigation & Discovery 15

16 5. Data Warehouse Augmentation: Needs Exploit technology advances to deliver more value from an existing data warehouse investment while reducing cost Requirements Add new sources to existing data warehouse investments Optimize storage and provide query-able archive Rationalize for greater simplicity and lower cost Enable complex analytical applications with faster queries Examples Pre-Processing Hub Query-able Archive Exploratory Analysis Operational Reporting Real-time Scoring Segmentation and Modeling Scale predictive analytics and business intelligence 16

17 5. Data Warehouse Augmentation: Diagram 1 Pre-Processing Hub 2 Query-able Archive 3 Exploratory Analysis Streams Real-time processing Data Explorer BigInsights Landing zone for all data BigInsights Data Explorer Find and view the data Can combine with unstructured information BigInsights Streams Offload analytics for microsecond latency Data Warehouse Data Warehouse Data Warehouse 17

18 IBM provides a holistic and integrated approach to big data & analytics Enterprise Fraud Fraud Solutions Healthcare Next Best Analytics Action Social Social Media Media Analytics Analytics Enabling organizations to: Discover and assemble relevant information Analytics and Decision Management Decision Predictive Content Decision Visualizatio Visualization Analytics Analytics Management Manageme n & Discovery nt & Discovery Big Data Platform Content Content Hadoop Manageme Data Stream Stream Data Management System Warehouse nt Warehouse Computing Computing Information Integration and Governance Information Integration and Governance Big Data Infrastructure: Systems, Storage and Cloud Acceleration & Application Development Analyze patterns and predict outcomes Visualize and explore for answers Take action and automate processes Optimize analytical performance and IT costs Manage, govern & secure information 18

19 Big Data and Information Integration / Governance Integrate & Link Big Data High performance load and read from BigInsights Integrate seamlessly w/existing enterprise Data lineage & impact analysis across the data supply chain Cleanse and Validate Big Data Accuracy and entity matching with social data and standardization of machine data Cleanse and match final results of big data analysis before reporting Protect Big Data Active monitor trap any unexpected access and breaches Mask sensitive data to ensure data protection and industry compliance Audit & Archive Big Data Create queryable archive for exploratory analysis of historical data Ensure compliance with Immutable archive and secure access to the data Master Big Data BigInsights will be a supplier of data to MDM and consume MDM data in the analysis Link BigInsights and trusted golden records Entity resolution at extreme scale 19

20 We are closing the skills gap 20

21 And we are driving hundreds of new Analytics and Big Data programs Active Relationships with 200+ Universities Around the World Building new programs and enhancing existing programs to train the skilled professionals of the future in: Analytics Big Data Business Intelligence and Analytics Predictive Analytics Computing and Informatics Math, Statistics Operations Research Data Science Majority of new programs are Masters level in Business Schools 21

22 And building an extensive business partner ecosystem for Big Data and Analytics (Over 330 partners!) CC&G Partners 22

23 So how do you get started with big data? Big data adoption Educate Focused on knowledge gathering and market observations Explore Developing strategy and roadmap based on business needs and challenges Engage Piloting big data initiatives to validate value and requirements Execute Deployed two or more big data initiatives and continuing to apply advanced analytics Join the business community Validate and realize business value 23 Join the technical community Big data case studies, whitepapers and IBM Institute for Business Value reports ibmbigdatahub.com IBM Briefings, Solution Centers Self-paced learning, exploration with downloads & test environment BigDatauniversity.com, YouTube Big Data Channel IBM Readiness Assessment for Big Data -Prioritized business use cases -Recommend big data platform Learn the technology & gain expertise Solution Design & Proof of Concept -Validate business value of the big data use case -Demonstrate big data capabilities to execute use case Enterprisewide big data initiatives -Incremental value across multiple use cases -Leverage investment from re-using the same big data platform -Enterprise data platform to support analytics

24 Think Big: Your Business Depends on It Leverage analytics as a game-changer Embrace big data to maximize your business outcomes Get inspired and take action 24

25 Watson combines transformational capabilities to deliver a new world experience 1 2 Understands natural language and human style communication Generates and evaluates evidencebased hypothesis Watson understands me. Watson engages me. Watson learns and improves over time. Watson helps me discover. Watson establishes trust. 3 Adapts and learns from training, interaction, and outcomes Watson has endless capacity for insight. Watson operates in a timely fashion. 25

26 Introducing the IBM Watson Group Software Systems and Technology Services Watson Cognitive systems, like Watson, are helping to usher in a new era of computing. An era where systems interact in natural language and learn with each interaction and outcome. An era that leverage Big Data, the new natural resource, putting content into context, allowing individuals to make informed, evidence based decisions with the confidence and supporting evidence that facilitates trust and transparency. 26

27 The Watson Family IBM Watson Solutions Bespoke solutions designed to meet some of industries most demanding needs leveraging cognitive capabilities IBM Watson Advisors IBM Watson Ecosystems Products based on Watson s core attributes and capabilities IBM Watson Cognitive Fabric APIs, tools, methodologies, SDKs, and infrastructure that fuels Watson IBM Watson family The Watson Developer Cloud, Watson Content Store and Watson Talent Hub driving innovation from partners IBM Watson Foundations Provides Big Data and core analytical capabilities which serve as the foundation for Watson 27

28 THINK Big Big Data Gerald Aufmuth IBM Information Management CTP für Data Management und Data Warehousing IBM Europe A Software Group IBM Österreich Obere Donaustrasse Wien Tel: +43-(0) Mobil:

29 Thank you

How the oil and gas industry can gain value from Big Data?

How the oil and gas industry can gain value from Big Data? How the oil and gas industry can gain value from Big Data? Arild Kristensen Nordic Sales Manager, Big Data Analytics arild.kristensen@no.ibm.com, tlf. +4790532591 April 25, 2013 2013 IBM Corporation Dilbert

More information

Smarter Analytics Leadership Summit Big Data. Real Solutions. Big Results.

Smarter Analytics Leadership Summit Big Data. Real Solutions. Big Results. Smarter Analytics Leadership Summit Big Data. Real Solutions. Big Results. 5 Game Changing Use Cases for Big Data Inhi Cho Suh Vice President Product Management & Strategy Information Management IBM Software

More information

Smarter Analytics. Barbara Cain. Driving Value from Big Data

Smarter Analytics. Barbara Cain. Driving Value from Big Data Smarter Analytics Driving Value from Big Data Barbara Cain Vice President Product Management - Business Intelligence and Advanced Analytics Business Analytics IBM Software Group 1 Agenda for today 1 Big

More information

A New Era Of Analytic

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

More information

Big Data & Analytics. The. Deal. About. Jacob Büchler jbuechler@dk.ibm.com Cand. Polit. IBM Denmark, Solution Exec. 2013 IBM Corporation

Big Data & Analytics. The. Deal. About. Jacob Büchler jbuechler@dk.ibm.com Cand. Polit. IBM Denmark, Solution Exec. 2013 IBM Corporation The Big Data & Analytics Deal About Jacob Büchler jbuechler@dk.ibm.com Cand. Polit. IBM Denmark, Solution Exec. 1 Big Data is All Data from Everywhere Big Data Is Becoming The Next Natural Resource We

More information

Big Data: Modern Ecosystems for Data Warehousing and Analytics. James Kobielus IBM Big Data Evangelist. 2014 IBM Corporation

Big Data: Modern Ecosystems for Data Warehousing and Analytics. James Kobielus IBM Big Data Evangelist. 2014 IBM Corporation Big Data: Modern Ecosystems for Data Warehousing and Analytics James Kobielus IBM Big Data Evangelist Insight-driven Client-centric Four Technologies Help Define the Smarter All Enterprise Embracing Data

More information

IBM Big Data in Government

IBM Big Data in Government IBM Big in Government Turning big data into smarter decisions Deepak Mohapatra Sr. Consultant Government IBM Software Group dmohapatra@us.ibm.com The Big Paradigm Shift 2 Big Creates A Challenge And an

More information

Real World Use of BIG DATA. Tim Brown Information Management Technical Pre-Sales Aruna Kolluru Information Management Technical Pre-Sales 04/2013

Real World Use of BIG DATA. Tim Brown Information Management Technical Pre-Sales Aruna Kolluru Information Management Technical Pre-Sales 04/2013 Real World Use of BIG DATA Tim Brown Information Management Technical Pre-Sales Aruna Kolluru Information Management Technical Pre-Sales 04/2013 Building a smarter planet Gaining Insight from your Information

More information

Exploiting Data at Rest and Data in Motion with a Big Data Platform

Exploiting Data at Rest and Data in Motion with a Big Data Platform Exploiting Data at Rest and Data in Motion with a Big Data Platform Sarah Brader, sarah_brader@uk.ibm.com What is Big Data? Where does it come from? 12+ TBs of tweet data every day 30 billion RFID tags

More information

The top five ways to get started with big data

The top five ways to get started with big data IBM Software Thought Leadership White Paper June 2013 The top five ways to get started with big data 2 The top five ways to get started with big data Big data: A high-stakes opportunity Remember what life

More information

IBM Software June 2014 Thought Leadership White Paper. The top five ways to get started with big data

IBM Software June 2014 Thought Leadership White Paper. The top five ways to get started with big data IBM Software June 2014 Thought Leadership White Paper The top five ways to get started with big data 2 The top five ways to get started with big data Big data: A high-stakes opportunity Remember what life

More information

IBM Big Data Platform

IBM Big Data Platform IBM Big Data Platform Turning big data into smarter decisions Stefan Söderlund. IBM kundarkitekt, Försvarsmakten Sesam vår-seminarie Big Data, Bigga byte kräver Pigga Hertz! May 16, 2013 By 2015, 80% of

More information

Driving Better Marketing Results with Big Data and Analytics David Corrigan, IBM, Director of Product Marketing

Driving Better Marketing Results with Big Data and Analytics David Corrigan, IBM, Director of Product Marketing Driving Better Marketing Results with Big Data and Analytics David Corrigan, IBM, Director of Product Marketing Optimizing Marketing with Big Data and Analytics Leverage Social Media Datacentric Marketing

More information

Industry Impact of Big Data in the Cloud: An IBM Perspective

Industry Impact of Big Data in the Cloud: An IBM Perspective 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: inhicho@us.ibm.com twitter: @inhicho

More information

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

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

More information

How to Leverage Big Data in the Cloud to Gain Competitive Advantage

How to Leverage Big Data in the Cloud to Gain Competitive Advantage 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

More information

A holistic approach to Big Data

A holistic approach to Big Data A holistic approach to Big Data Raul F. Chong Senior Big Data and Cloud Program Manager Big Data University Community Leader rfchong@ca.ibm.com 2013 BigDataUniversity.com Agenda The state of Big Data adoption

More information

IBM Next Generation Analytics Platform, fattore abilitante strategico per la trasformazione del business

IBM Next Generation Analytics Platform, fattore abilitante strategico per la trasformazione del business IBM Next Generation Analytics Platform, fattore abilitante strategico per la trasformazione del business Bruno Marcantonio Information Management Leader Software Group IBM Italia November 7, 2013 2013

More information

End to End Solution to Accelerate Data Warehouse Optimization. Franco Flore Alliance Sales Director - APJ

End to End Solution to Accelerate Data Warehouse Optimization. Franco Flore Alliance Sales Director - APJ End to End Solution to Accelerate Data Warehouse Optimization Franco Flore Alliance Sales Director - APJ Big Data Is Driving Key Business Initiatives Increase profitability, innovation, customer satisfaction,

More information

Holistic Approach to Big Data #4: 5 High Value Big Data Use Cases

Holistic Approach to Big Data #4: 5 High Value Big Data Use Cases Holistic Approach to Big Data #4: 5 High Value Big Data Use Cases 1 At IBM, our product management, engineering, partner enablement, marketing, and other teams have all been working together to help to

More information

Building Confidence in Big Data Innovations in Information Integration & Governance for Big Data

Building Confidence in Big Data Innovations in Information Integration & Governance for Big Data Building Confidence in Big Data Innovations in Information Integration & Governance for Big Data IBM Software Group Important Disclaimer THE INFORMATION CONTAINED IN THIS PRESENTATION IS PROVIDED FOR INFORMATIONAL

More information

Deploying Big Data to the Cloud: Roadmap for Success

Deploying Big Data to the Cloud: Roadmap for Success 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,

More information

The Big Data Revolution: welcome to the Cognitive Era.

The Big Data Revolution: welcome to the Cognitive Era. The Big Data Revolution: welcome to the Cognitive Era. Yves Eychenne, Cloud Advisor, IBM Email: yves.eychenne@fr.ibm.com @yeychenne 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Agenda Big Data and

More information

IBM Data Warehousing and Analytics Portfolio Summary

IBM Data Warehousing and Analytics Portfolio Summary IBM Information Management IBM Data Warehousing and Analytics Portfolio Summary Information Management Mike McCarthy IBM Corporation mmccart1@us.ibm.com IBM Information Management Portfolio Current Data

More information

Demystifying Big Data Government Agencies & The Big Data Phenomenon

Demystifying Big Data Government Agencies & The Big Data Phenomenon Demystifying Big Data Government Agencies & The Big Data Phenomenon Today s Discussion If you only remember four things 1 Intensifying business challenges coupled with an explosion in data have pushed

More information

Big Data, Integration and Governance: Ask the Experts

Big Data, Integration and Governance: Ask the Experts Big, Integration and Governance: Ask the Experts January 29, 2013 1 The fourth dimension of Big : Veracity handling data in doubt Volume Velocity Variety Veracity* at Rest Terabytes to exabytes of existing

More information

IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS!

IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS! The Bloor Group IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS VENDOR PROFILE The IBM Big Data Landscape IBM can legitimately claim to have been involved in Big Data and to have a much broader

More information

VIEWPOINT. High Performance Analytics. Industry Context and Trends

VIEWPOINT. High Performance Analytics. Industry Context and Trends VIEWPOINT High Performance Analytics Industry Context and Trends In the digital age of social media and connected devices, enterprises have a plethora of data that they can mine, to discover hidden correlations

More information

Beyond the Single View with IBM InfoSphere

Beyond the Single View with IBM InfoSphere Ian Bowring MDM & Information Integration Sales Leader, NE Europe Beyond the Single View with IBM InfoSphere We are at a pivotal point with our information intensive projects 10-40% of each initiative

More information

IBM Big Data Analytics Vienna, 2013 May 13

IBM Big Data Analytics Vienna, 2013 May 13 IBM Big Data Analytics Vienna, 2013 May 13 Dipl.Ing.Wolfgang Nimführ Big Data Industry Solutions Regional Leader IBM Software Group Europe Agenda for today 1 IBM s viewpoint on on big big data data and

More information

The Future of Data Management

The Future of Data Management The Future of Data Management with Hadoop and the Enterprise Data Hub Amr Awadallah (@awadallah) Cofounder and CTO Cloudera Snapshot Founded 2008, by former employees of Employees Today ~ 800 World Class

More information

Beyond Watson: The Business Implications of Big Data

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

More information

Big Data & Analytics for Semiconductor Manufacturing

Big Data & Analytics for Semiconductor Manufacturing 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

More information

BIG Data Analytics Move to Competitive Advantage

BIG Data Analytics Move to Competitive Advantage BIG Data Analytics Move to Competitive Advantage where is technology heading today Standardization Open Source Automation Scalability Cloud Computing Mobility Smartphones/ tablets Internet of Things Wireless

More information

Big Data Strategies with IMS

Big Data Strategies with IMS Big Data Strategies with IMS #16103 Richard Tran IMS Development richtran@us.ibm.com Insert Custom Session QR if Desired. Agenda Big Data in an Information Driven economy Why start with System z IMS strategies

More information

The Future of Business Analytics is Now! 2013 IBM Corporation

The Future of Business Analytics is Now! 2013 IBM Corporation The Future of Business Analytics is Now! 1 The pressures on organizations are at a point where analytics has evolved from a business initiative to a BUSINESS IMPERATIVE More organization are using analytics

More information

CONNECTING DATA WITH BUSINESS

CONNECTING DATA WITH BUSINESS CONNECTING DATA WITH BUSINESS Big Data and Data Science consulting Business Value through Data Knowledge Synergic Partners is a specialized Big Data, Data Science and Data Engineering consultancy firm

More information

Big Data and the new trends for BI and Analytics Juha Teljo Business Intelligence and Predictive Solutions Executive IBM Europe

Big Data and the new trends for BI and Analytics Juha Teljo Business Intelligence and Predictive Solutions Executive IBM Europe Big Data and the new trends for BI and Analytics Juha Teljo Business Intelligence and Predictive Solutions Executive IBM Europe 2012 IBM Corporation The Mega Trends Cloud Mobile Social Analytics 2014 International

More information

Luncheon Webinar Series May 13, 2013

Luncheon Webinar Series May 13, 2013 Luncheon Webinar Series May 13, 2013 InfoSphere DataStage is Big Data Integration Sponsored By: Presented by : Tony Curcio, InfoSphere Product Management 0 InfoSphere DataStage is Big Data Integration

More information

Turning Big Data into a Big Opportunity

Turning Big Data into a Big Opportunity Customer-Centricity in a World of Data: Turning Big Data into a Big Opportunity Richard Maraschi Business Analytics Solutions Leader IBM Global Media & Entertainment Joe Wikert General Manager & Publisher

More information

Bringing Strategy to Life Using an Intelligent Data Platform to Become Data Ready. Informatica Government Summit April 23, 2015

Bringing Strategy to Life Using an Intelligent Data Platform to Become Data Ready. Informatica Government Summit April 23, 2015 Bringing Strategy to Life Using an Intelligent Platform to Become Ready Informatica Government Summit April 23, 2015 Informatica Solutions Overview Power the -Ready Enterprise Government Imperatives Improve

More information

Intelligent Business Operations

Intelligent Business Operations Intelligent Business Operations Echtzeit-Datenanalyse und Aktionen im Zusammenspiel Dr. Jürgen Krämer VP Product Strategy IBO & Product Management Apama 23.06.2014 Helping Organizations Transform into

More information

Safe Harbor Statement

Safe Harbor Statement Defining a Roadmap to Big Data Success Robert Stackowiak, Oracle Vice President, Big Data 17 November 2015 Safe Harbor Statement The following is intended to outline our general product direction. It is

More information

IBM BigInsights for Apache Hadoop

IBM BigInsights for Apache Hadoop IBM BigInsights for Apache Hadoop Efficiently manage and mine big data for valuable insights Highlights: Enterprise-ready Apache Hadoop based platform for data processing, warehousing and analytics Advanced

More information

Big Data & Analytics Heute & Morgen

Big Data & Analytics Heute & Morgen Big Data & Analytics Heute & Morgen Dipl.Ing.Wolfgang Nimführ Business Development Executive Big Data Analytics Watson Ambassador IBM Analytics Group Europe 2015 IBM Corporation The World of Big Data &

More information

Big Data and Trusted Information

Big Data and Trusted Information 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

More information

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

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

More information

The Enterprise Data Hub and The Modern Information Architecture

The Enterprise Data Hub and The Modern Information Architecture The Enterprise Data Hub and The Modern Information Architecture Dr. Amr Awadallah CTO & Co-Founder, Cloudera Twitter: @awadallah 1 2013 Cloudera, Inc. All rights reserved. Cloudera Overview The Leader

More information

Leveraging Machine Data to Deliver New Insights for Business Analytics

Leveraging Machine Data to Deliver New Insights for Business Analytics Copyright 2015 Splunk Inc. Leveraging Machine Data to Deliver New Insights for Business Analytics Rahul Deshmukh Director, Solutions Marketing Jason Fedota Regional Sales Manager Safe Harbor Statement

More information

Raul F. Chong Senior program manager Big data, DB2, and Cloud IM Cloud Computing Center of Competence - IBM Toronto Lab, Canada

Raul F. Chong Senior program manager Big data, DB2, and Cloud IM Cloud Computing Center of Competence - IBM Toronto Lab, Canada 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

More information

Getting Started Practical Input For Your Roadmap

Getting Started Practical Input For Your Roadmap Getting Started Practical Input For Your Roadmap Mike Ferguson Managing Director, Intelligent Business Strategies BA4ALL Big Data & Analytics Insight Conference Stockholm, May 2015 About Mike Ferguson

More information

Ganzheitliches Datenmanagement

Ganzheitliches Datenmanagement Ganzheitliches Datenmanagement für Hadoop Michael Kohs, Senior Sales Consultant @mikchaos The Problem with Big Data Projects in 2016 Relational, Mainframe Documents and Emails Data Modeler Data Scientist

More information

Klarna Tech Talk: Mind the Data! Jeff Pollock InfoSphere Information Integration & Governance

Klarna Tech Talk: Mind the Data! Jeff Pollock InfoSphere Information Integration & Governance Klarna Tech Talk: Mind the Data! Jeff Pollock InfoSphere Information Integration & Governance IBM s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice

More information

Analytics: The real-world use of big data

Analytics: The real-world use of big data Findings from the research collaboration of IBM Institute for Business Value and Saïd Business School, University of Oxford Analytics: The real-world use of big data How innovative enterprises extract

More information

5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK

5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK 5 Big Data Use Cases to Understand Your Customer Journey CUSTOMER ANALYTICS EBOOK CUSTOMER JOURNEY Technology is radically transforming the customer journey. Today s customers are more empowered and connected

More information

5 Keys to Unlocking the Big Data Analytics Puzzle. Anurag Tandon Director, Product Marketing March 26, 2014

5 Keys to Unlocking the Big Data Analytics Puzzle. Anurag Tandon Director, Product Marketing March 26, 2014 5 Keys to Unlocking the Big Data Analytics Puzzle Anurag Tandon Director, Product Marketing March 26, 2014 1 A Little About Us A global footprint. A proven innovator. A leader in enterprise analytics for

More information

Integrating a Big Data Platform into Government:

Integrating a Big Data Platform into Government: 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

More information

Decoding CAMS: Cloud, Analytics, Mobile, & Social Technologies: A Discussion of the Implications for Enterprises and their Providers

Decoding CAMS: Cloud, Analytics, Mobile, & Social Technologies: A Discussion of the Implications for Enterprises and their Providers Decoding CAMS: Cloud, Analytics, Mobile, & Social Technologies: A Discussion of the Implications for Enterprises and their Providers Steve Sheahan Client Solutions Executive IBM Global Business Services

More information

IBM Analytical Decision Management

IBM Analytical Decision Management IBM Analytical Decision Management Deliver better outcomes in real time, every time Highlights Organizations of all types can maximize outcomes with IBM Analytical Decision Management, which enables you

More information

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

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

More information

BAO & Big Data Overview Applied to Real-time Campaign GSE. Joel Viale Telecom Solutions Lab Solution Architect. Telecom Solutions Lab

BAO & Big Data Overview Applied to Real-time Campaign GSE. Joel Viale Telecom Solutions Lab Solution Architect. Telecom Solutions Lab BAO & Big Data Overview Applied to Real-time Campaign GSE Joel Viale Telecom Solutions Lab Solution Architect Agenda BAO & Big Data - Overview Customer use-cases Live Prototypes: Streams for Real-time

More information

IBM SECURITY QRADAR INCIDENT FORENSICS

IBM SECURITY QRADAR INCIDENT FORENSICS IBM SECURITY QRADAR INCIDENT FORENSICS DELIVERING CLARITY TO CYBER SECURITY INVESTIGATIONS Gyenese Péter Channel Sales Leader, CEE IBM Security Systems 12014 IBM Corporation Harsh realities for many enterprise

More information

Cognitive z. Mathew Thoennes IBM Research System z Research June 13, 2016

Cognitive z. Mathew Thoennes IBM Research System z Research June 13, 2016 Cognitive z Mathew Thoennes IBM Research System z Research June 13, 2016 Agenda What is Cognitive? Watson Explorer Overview Demo What is cognitive? Cognitive analytics - A set of technologies and processes

More information

Are You Ready for Big Data?

Are You Ready for Big Data? Are You Ready for Big Data? Jim Gallo National Director, Business Analytics February 11, 2013 Agenda What is Big Data? How do you leverage Big Data in your company? How do you prepare for a Big Data initiative?

More information

Enhance Collaboration and Data Sharing for Faster Decisions and Improved Mission Outcome

Enhance Collaboration and Data Sharing for Faster Decisions and Improved Mission Outcome Enhance Collaboration and Data Sharing for Faster Decisions and Improved Mission Outcome Richard Breakiron Senior Director, Cyber Solutions Rbreakiron@vion.com Office: 571-353-6127 / Cell: 803-443-8002

More information

IBM Executive Point of View: Transform your business with IBM Cloud Applications

IBM Executive Point of View: Transform your business with IBM Cloud Applications IBM Executive Point of View: Transform your business with IBM Cloud Applications Businesses around the world are reinventing themselves to remain competitive in a time when disruption is the new normal.

More information

Mohan Sawhney Robert R. McCormick Tribune Foundation Clinical Professor of Technology Kellogg School of Management mohans@kellogg.northwestern.

Mohan Sawhney Robert R. McCormick Tribune Foundation Clinical Professor of Technology Kellogg School of Management mohans@kellogg.northwestern. Mohan Sawhney Robert R. McCormick Tribune Foundation Clinical Professor of Technology Kellogg School of Management mohans@kellogg.northwestern.edu Transportation Center Business Advisory Committee Meeting

More information

BEYOND BI: Big Data Analytic Use Cases

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

More information

Splunk Company Overview

Splunk Company Overview Copyright 2015 Splunk Inc. Splunk Company Overview Name Title Safe Harbor Statement During the course of this presentation, we may make forward looking statements regarding future events or the expected

More information

Are You Ready for Big Data?

Are You Ready for Big Data? Are You Ready for Big Data? Jim Gallo National Director, Business Analytics April 10, 2013 Agenda What is Big Data? How do you leverage Big Data in your company? How do you prepare for a Big Data initiative?

More information

Master Data Management What is it? Why do I Care? What are the Solutions?

Master Data Management What is it? Why do I Care? What are the Solutions? Master Data Management What is it? Why do I Care? What are the Solutions? Marty Pittman Architect IBM Software Group 2011 IBM Corporation Agenda MDM Introduction and Industry Trends IBM's MDM Vision IBM

More information

Cloud, Big Data, Mobile, Social and Security

Cloud, Big Data, Mobile, Social and Security IBM Software Group 2014 Cloud, Big Data, Mobile, Social and Security Pairoj Ruamviboonsuk Software Client Architect IBM SWG Thailand Igniting change the transformative power of computing Back-office computing

More information

Get Ready for Big Data with IBM System z

Get Ready for Big Data with IBM System z Get Ready for Big Data with IBM System z Product strategy SHARE 2012, Anaheim Mark Simmonds System z Information Management Product Marketing Disclaimer IBM s statements regarding its plans, directions,

More information

Addressing government challenges with big data analytics

Addressing government challenges with big data analytics IBM Software White Paper Government Addressing government challenges with big data analytics 2 Addressing government challenges with big data analytics Contents 2 Introduction 4 How big data analytics

More information

Predictive Customer Intelligence

Predictive Customer Intelligence Sogeti 2015 Damiaan Zwietering zwietering@nl.ibm.com Predictive Customer Intelligence Customer expectations are driving companies towards being customer centric Find me Using visualization and analytics

More information

FIVE INDUSTRIES. Where Big Data Is Making a Difference

FIVE INDUSTRIES. Where Big Data Is Making a Difference FIVE INDUSTRIES Where Big Data Is Making a Difference To understand how Big Data can transform businesses, we have to understand its nature. Although there are numerous definitions of Big Data, many will

More information

III JORNADAS DE DATA MINING

III JORNADAS DE DATA MINING III JORNADAS DE DATA MINING EN EL MARCO DE LA MAESTRÍA EN DATA MINING DE LA UNIVERSIDAD AUSTRAL PRESENTACIÓN TECNOLÓGICA IBM Alan Schcolnik, Cognos Technical Sales Team Leader, IBM Software Group. IAE

More information

Architecting your Business for Big Data Your Bridge to a Modern Information Architecture

Architecting your Business for Big Data Your Bridge to a Modern Information Architecture Architecting your Business for Big Data Your Bridge to a Modern Information Architecture Robert Stackowiak Vice President, Information Architecture & Big Data Oracle Safe Harbor Statement The following

More information

Business Analytics for Big Data

Business Analytics for Big Data IBM Software Business Analytics Big Data Business Analytics for Big Data Unlock value to fuel performance 2 Business Analytics for Big Data Contents 2 Introduction 3 Extracting insights from big data 4

More information

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

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

More information

Capitalizing on the power of big data for retail

Capitalizing on the power of big data for retail IBM Software Big Data Retail Capitalizing on the power of big data for retail Adopt new approaches to keep customers engaged, maintain a competitive edge and maximize profitability 2 Capitalizing on the

More information

Solve your toughest challenges with data mining

Solve your toughest challenges with data mining IBM Software IBM SPSS Modeler Solve your toughest challenges with data mining Use predictive intelligence to make good decisions faster Solve your toughest challenges with data mining Imagine if you could

More information

2015 Analyst and Advisor Summit. Advanced Data Analytics Dr. Rod Fontecilla Vice President, Application Services, Chief Data Scientist

2015 Analyst and Advisor Summit. Advanced Data Analytics Dr. Rod Fontecilla Vice President, Application Services, Chief Data Scientist 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

More information

Welcome to Services Discovery Channel. Host: Jean Wong, Head of Service Marketing, Asia Pacific, Japan and Greater China

Welcome to Services Discovery Channel. Host: Jean Wong, Head of Service Marketing, Asia Pacific, Japan and Greater China Welcome to Services Discovery Channel Host: Jean Wong, Head of Service Marketing, Asia Pacific, Japan and Greater China Connecting Analytics to Insight Are You Ready? Keynote Speakers: Mike Riegel, VP,

More information

Big Data Use Cases Update

Big Data Use Cases Update 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

More information

Extend your analytic capabilities with SAP Predictive Analysis

Extend your analytic capabilities with SAP Predictive Analysis September 9 11, 2013 Anaheim, California Extend your analytic capabilities with SAP Predictive Analysis Charles Gadalla Learning Points Advanced analytics strategy at SAP Simplifying predictive analytics

More information

Aligning Your Strategic Initiatives with a Realistic Big Data Analytics Roadmap

Aligning Your Strategic Initiatives with a Realistic Big Data Analytics Roadmap Aligning Your Strategic Initiatives with a Realistic Big Data Analytics Roadmap 3 key strategic advantages, and a realistic roadmap for what you really need, and when 2012, Cognizant Topics to be discussed

More information

The Data Reservoir as an enabler of differentiating Analytics initiatives

The Data Reservoir as an enabler of differentiating Analytics initiatives Mandy Chessell CBE FREng CEng FBCS Distinguished Engineer, Master Inventor Chief Architect, Solutions The Reservoir as an enabler of differentiating Analytics initiatives 3 rd March 2015 Agenda Changing

More information

Analytics In the Cloud

Analytics In the Cloud Analytics In the Cloud 9 th September Presented by: Simon Porter Vice President MidMarket Sales Europe Disruptors are reinventing business processes and leading their industries with digital transformations

More information

Delivering new insights and value to consumer products companies through big data

Delivering new insights and value to consumer products companies through big data 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

More information

A TECHNICAL WHITE PAPER ATTUNITY VISIBILITY

A TECHNICAL WHITE PAPER ATTUNITY VISIBILITY A TECHNICAL WHITE PAPER ATTUNITY VISIBILITY Analytics for Enterprise Data Warehouse Management and Optimization Executive Summary Successful enterprise data management is an important initiative for growing

More information

Big Data Services From Hitachi Data Systems

Big Data Services From Hitachi Data Systems SOLUTION PROFILE Big Data Services From Hitachi Data Systems Create Strategy, Implement and Manage a Solution for Big Data for Your Organization Big Data Consulting Services and Big Data Transition Services

More information

BIG DATA WITHIN THE LARGE ENTERPRISE 9/19/2013. Navigating Implementation and Governance

BIG DATA WITHIN THE LARGE ENTERPRISE 9/19/2013. Navigating Implementation and Governance BIG DATA WITHIN THE LARGE ENTERPRISE 9/19/2013 Navigating Implementation and Governance Purpose of Today s Talk John Adler - Data Management Group Madina Kassengaliyeva - Think Big Analytics Growing data

More information

How Financial Services Firms Can Benefit From Streaming Analytics

How Financial Services Firms Can Benefit From Streaming Analytics How Financial Services Firms Can Benefit From Streaming Analytics > 2 VITRIA TECHNOLOGY, INC. > How Financial Services Firms Can Benefit From Streaming Analytics Streaming Analytics: Why It s Important

More information

The Future of Data Management with Hadoop and the Enterprise Data Hub

The Future of Data Management with Hadoop and the Enterprise Data Hub The Future of Data Management with Hadoop and the Enterprise Data Hub Amr Awadallah Cofounder & CTO, Cloudera, Inc. Twitter: @awadallah 1 2 Cloudera Snapshot Founded 2008, by former employees of Employees

More information

Oracle Big Data Building A Big Data Management System

Oracle Big Data Building A Big Data Management System Oracle Big Building A Big Management System Copyright 2015, Oracle and/or its affiliates. All rights reserved. Effi Psychogiou ECEMEA Big Product Director May, 2015 Safe Harbor Statement The following

More information

Big Data: What You Should Know. Mark Child Research Manager - Software IDC CEMA

Big Data: What You Should Know. Mark Child Research Manager - Software IDC CEMA Big Data: What You Should Know Mark Child Research Manager - Software IDC CEMA Agenda Market Dynamics Defining Big Data Technology Trends Information and Intelligence Market Realities Future Applications

More information

Industry Perspective: Big Data and Big Data Analytics. David Barnes Program Director Emerging Internet Technologies IBM Software Group

Industry Perspective: Big Data and Big Data Analytics. David Barnes Program Director Emerging Internet Technologies IBM Software Group 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

More information

Datenverwaltung im Wandel - Building an Enterprise Data Hub with

Datenverwaltung im Wandel - Building an Enterprise Data Hub with Datenverwaltung im Wandel - Building an Enterprise Data Hub with Cloudera Bernard Doering Regional Director, Central EMEA, Cloudera Cloudera Your Hadoop Experts Founded 2008, by former employees of Employees

More information