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

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1 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

2 IBM Point of View Why is Big Data in the Cloud Important Now? The power of All Data coming together to deliver Improved Outcomes Top 5 Use Cases We ve Observed 1. Enrich your information base with Big Data Exploration 2. Improve customer interaction with Enhanced 360º View of the Customer with the power of New Technology 3. Optimize operations with Operations Analysis 4. Gain IT efficiency and scale with Data Warehouse Augmentation 5. Prevent crime with Security and Intelligence Extension 2 2

3 Next Wave is Confluence of Cloud, Mobile, Big Data Confluence of Social Mobile Cloud Big Data / Analytics Back Office Computing Client Server PC World Wide Web and ebusiness 60 s 80 s 90 s We are here 3

4 Industry Movement from Traditional Environments to Cloud One Step or An Evolution Many clients are already on the way to cloud with consolidation and virtualization efforts CLOUD Dynamic provisioning for workloads STANDARDIZE Operational Efficiency SHARED RESOURCES Common workload profiles AUTOMATE Flexible delivery & Self Service VIRTUALIZE Increase Utilization CONSOLIDATE Physical Infrastructure 4 Traditional IT Leon Katsnelson ([email protected]) 4

5 Industry Puts Cloud At the Forefront of Their Business Strategies 1 Factors impacting organizations: 1. Technology factors 2. People skills 3. Market factors 4. Macro-economic factors 5. Regulatory concerns 6. Globalization Source: IBM CEO Study 2012 Speed Value 90% view cloud as critical to their plans Extended Reach 1Billion Smartphones and 1.2 billion mobile employees by 2014 Responsiveness 20B+ Intelligent business assets New Insights 2.7ZB of digital content in 2012, up 50% from

6 Cloud, Big Data, Mobile are Core Foundation for a Smarter Planet Cloud Mobile Social Internet of Things 6

7 Cloud provides Scalability for Big Data Workloads Extracting insight from an immense volume, variety and velocity of data, in context, beyond what was previously possible. Volume Velocity Variety 12terabytes of Tweets create daily s million trade events per second video feeds from surveillance cameras Analyze sentiment Identify potential fraud Monitor events of interest 350 billion 500 million 80% data meter readings per annum growth call detail records per day are images, video, documents Predict power consumption Prevent churn Improve constituent satisfaction 7

8 Mobile, Big Data and Cloud are Driving Innovation Advanced Mobile 85% Appliances Big Data Private Cloud 69% 76% 73% Public Cloud Predictive Modeling Hybrid Cloud 53% 53% 58% Currently Using Exploring/Planning Adoption Source: 2011 SWG Buyer Behavior Study n=

9 Big Data Powers Business Transformation Extracting insight, visualizing and interacting with big data will transform industries Customer Analytics Security/Public Safety Healthcare Media Technologies, Systems and Services Cameras Medical Digital Marketing Mobile Media Enterprise Video Social Media Media Huge Volumes of Data 9

10 What Industries Can Do with Big Data Financial Services Fraud detection 360 View of the Customer Utilities Weather analysis Smart grid management 10 Transportation Logistics optimization Traffic congestion Health & Life Sciences Epidemic early warning ICU monitoring Telecommunications Geomapping / marketing Network monitoring Multiple Industries Customer Retention Customer Acquisition Manufacturing Manufacturing Efficiency IT System Log Analysis Cybersecurity Outage prevention Resource Prediction Warehouse Integration Retail Marketing Campaign Efficiency Targeted Marketing MicroSegmentation Law Enforcement Multimodal surveillance Cyber security detection

11 Big Data in the Cloud: The Big Picture Comprehensive Most mature and comprehensive capabilities across all of IIG Integrated Integrated capabilities designed to address enterprise use cases Intelligent Prebuilt, Automated, Proactive Transform Enterprise Processes & Applications with Trusted Information Secure Enterprise Data & Ensure Compliance Big Data in the Cloud Deliver Trusted Information for Data Warehousing and Business Analytics Build and manage a Single View Consolidate and Retire Applications Integrate & Govern Big Data Make Enterprise Applications more Efficient

12 Big Data Within The Contextual Enterprise Cloud Building context from data dynamically at scale, discovering new value Traditional Approach Structured, analytical, logical Systems of Record Transaction Data Internal App Data Mainframe Data OLTP System Data ERP Data Data Warehouse Structured Repeatable Linear Hadoop and Streams Unstructured Exploratory Dynamic New Approach Creative, holistic thought, intuition Systems of Engagement Multimedia Web Logs Social Data Text Data: s Sensor data: images RFID Traditional Sources New Sources 12

13 Thank you Inhi Cho Suh IBM Software Group, Information Management Vice President, Product Management and Strategy