IBM Academic Initiative building skills for a smarter planet

Transcription

1 IBM Academic Initiative building skills for a smarter planet Analytics: Faculty Brief, Pace University 1 Robert Bry Relationship Manager Academic Initiative bry@us.ibm.com

2 1 IBM Academic Initiative 2 Business Analytics 3 Resources 4 Next Steps 2

3 The World is Changing and Becoming More INSTRUMENTED INTERCONNECTED INTELLIGENT The resulting explosion of information creates a need for a new kind of intelligence to help build a Smarter Planet 3

4 As the world s largest business software company, IBM is helping organizations of all sizes tackle their most important business needs* Turn information into insights Drive business integration and optimization Connect and collaborate Enable product and service innovation Optimize the impact of business infrastructures and services Manage risk, security, and compliance 4

5 IBM solutions are built on a core set of software capabilities Turning Information into Insights Business Analytics Data Management Data Warehousing Enterprise Content Management Information Governance Information Integration and Federation Enable Product and Service Innovation Application Lifecycle Management Complex and Embedded Systems Design and Development Enterprise Architecture and Portfolio Management Enterprise Modernization Security Drive Business Integration and Optimization Application Infrastructure Business Process Management Commerce Connectivity and Integration Enterprise Marketing Management Optimize the Impact of Business Infrastructures and Services Asset Management Business Service Management Cloud and Virtualization Management Network and Service Assurance Security Storage Management Systems Management 5 Connect and Collaborate Social Business Application Development Social Collaboration Unified Communications Web Experience Manage Risk, Security, and Compliance Application and Process Data and Information Network, Server, and Endpoint People and Identity Physical Infrastructure Security governance, risk management and compliance

6 Software is key to addressing these challenges, transforming the planet and making businesses smarter Smarter energy and utilities Smarter government Smarter healthcare Smarter transportation Smarter solutions for retail Smarter banking Smarter insurance Smarter telecommunications Smarter chemical and petroleum Smarter electronics 6

7 Let s build a smarter planet Skills Example: Business Analytics 7

8 The IBM Academic Initiative Our mission Partner with academic institutions to better educate millions of students for a smarter planet and more competitive IT workforce Our offerings No charge access to IBM technology & tools (thousands of software titles) No charge access to course materials and curriculum (hundreds of modules) Skills enhancement supported by a worldwide community of IBM volunteers A SMARTER PLANET WILL BE INSTRUMENTED, INTERCONNECTED, INTELLIGENT PEOPLE WANT IT. WE CAN DO IT. 8

9 The IBM Academic Initiative 9 Visit IBM.com/academicinitiative

10 The IBM Academic Initiative 10 Visit IBM.com/academicinitiative

11 Benefits and Offerings include.no-charge software & courseware IBM Software Access to thousands of full function, leading edge software applications available for faculty to download at no charge. Faculty can: - Make copies of the software for their students: - Install the software on labs machines for students - Make the software available on a private network their students can access IBM Courseware More than 400 no charge course modules created by IBM to help clients get the most from their IT investment. Faculty can use them to enrich their students classroom experience. 11

12 Courseware Repository hundreds of industry-leading courses, all at no charge IBM Courseware More than 400 no charge course modules created by IBM to help clients get the most from their IT investment. Faculty can use them to enrich their students classroom experience. Covering topics such as: Software Development Lifecycle Business Process Modeling and SOA Enterprise Systems Data Management Social Networking and Collaboration I/T Service Management/Monitoring Service Science Business Analytics.and much more 12

13 Academic Initiative: key smarter planet skills Service Oriented Architecture Business Process Management Cloud Computing Enterprise Data Management Service Management Information on Demand Analytics Enterprise Systems Serious Games Requirements Management 13 Embedded / Complex Systems Security Software Lifecycle Management Social Networking & Collaboration Software and System Development Data Protection & Recovery

14 Volume Velocity Variety Everyday, we create 2.5 quintillion bytes of data so much that 90% of the data in the world today has been created in the last two years alone. 14

15 Volume Velocity Variety Big data comes in one size: large. Enterprises are awash with data, easily amassing terabytes and even petabytes of information. Often time sensitive, big data must be used as it is streaming in to the enterprise in order to maximize its value to the business. Big data extends beyond structured data, including unstructured data of all varieties: text, audio, video, click streams, log files and more. 15

16 Information is Exploding 44x as much Information will be created over the coming decade 80% Of the world s data is unstructured ,000 petabytes zettabytes 16 Source: IDC, The Digital Universe Decade Are You Ready?, May 2010

17 What can organizations do with Big Data? Financial Services Fraud detection Risk management 360 View of the Customer Utilities Weather impact analysis on power generation Transmission monitoring Smart grid management Transportation Weather and traffic impact on logistics and fuel consumption Health & Life Sciences Epidemic early warning system ICU monitoring Remote healthcare monitoring IT Transition log analysis for multiple transactional systems Cybersecurity Retail 360 View of the Customer Click-stream analysis Real-time promotions Telecommunications CDR processing Churn prediction Geomapping / marketing Network monitoring Law Enforcement Real-time multimodal surveillance Situational awareness Cyber security detection 17 17

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19 The 2011 IBM Tech Trends Report offers a glimpse into the future of where technology is headed over the next two years. More than 4,000 IT professionals from 93 countries and 25 industries shared their opinions, and the report highlights trends from the five countries with the highest number of responses: the United States, Brazil, Russia, India and China. The survey focuses on business analytics, mobile, cloud and social business, four critical and interconnected technologies that developers can use today to determine which skills they need to build a Smarter Planet. Over the next 24 months, these areas will only continue to grow, fueling development, architectural and analytic opportunities: Business analytics Mobile computing Cloud Computing Social Business 19

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21 Industry Needs Help Developing Analytics Skills Companies look to educational institutions to provide essential skills: 76% look for analysis and architectural skills 86% look for database skills Only 11% of companies feel new IT hires are well-trained and ready to go Enterprise architecture skills and analytics/bi skills are in demand Close to 50% of large companies (> 10,000 employees) in survey are hiring architects Source: SHARE Source: Closing the IT Skills Gap: 2011 SHARE Survey for Guiding University and College IT Agendas Not enough students are graduating today with the skills to handle the current information complexity. The size of the skills gap will grow only larger over the next 3-5 years as organizations look to make more use of their information assets.. 21

22 McKinsey Survey Forecasts Need for Information Skills Survey of IT professionals points to challenges moving to analytics-driven decisions Information and analytics-driven decision making is used in almost all corporate functions 53% indicate improving the talent and capabilities of IT staff is a priority Respondents highlight three inhibitors to using information in decision making: a cultural preference for using experience over data a lack of skills in synthesizing and translating the analytics and data concerns about data quality Challenges with data analytics are creating a single source of truth, consolidating data architectures, and developing analytic tools and skills. McKinsey Quarterly December 2011: A rising role for IT: McKinsey Global Survey Results 22

23 Inc. The 5 Hardest Jobs to Fill 2012 While you're planning your expansion, you're going to find that talent is in short supply By Keith Cline Dec 19, 2011 So, what are the most competitive areas for talent these days? Here's a look: 1. Software Engineers and Web Developers 2. Creative Design and User Experience 3. Product Management 4. Marketing 5. Analytics Since data is becoming more and more accessible, smart companies are increasingly making decisions driven by metrics. Analytics is becoming a central hub across companies where everything (web, marketing, sales, operations) is being measured and each decision is supported by data. Thus, we are seeing a high level of demand for analytics and business intelligence professionals who almost act like internal consultants; they help determine what should be measured and then build out the capability for a company. 23 htt // i /k ith li /t l t h t i 2012 ht l

24 IBM solutions are built on a core set of software capabilities Turning Information into Insights Business Analytics Data Management Data Warehousing Enterprise Content Management Information Governance Information Integration and Federation Enable Product and Service Innovation Application Lifecycle Management Complex and Embedded Systems Design and Development Enterprise Architecture and Portfolio Management Enterprise Modernization Security Drive Business Integration and Optimization Application Infrastructure Business Process Management Commerce Connectivity and Integration Enterprise Marketing Management Optimize the Impact of Business Infrastructures and Services Asset Management Business Service Management Cloud and Virtualization Management Network and Service Assurance Security Storage Management Systems Management 24 Connect and Collaborate Social Business Application Development Social Collaboration Unified Communications Web Experience Manage Risk, Security, and Compliance Application and Process Data and Information Network, Server, and Endpoint People and Identity Physical Infrastructure Security governance, risk management and compliance

25 Turning Information Into Insights: IBM capabilities & skills Business Analytics Business intelligence Predictive analytics Analytic applications Financial performance management Data Management Database design and development Database management Database administration Governance, risk and compliance Data Warehousing Warehousing appliances Warehousing software Industry models Enterprise Content Management Advanced case management Content analytics Document imaging and capture Information lifecycle governance Social content management Information Governance Data lifecycle management Data security and privacy Data quality management Information Integration and Federation Information integration Master data management Big data analytics 25

26 Turn information into insights Enterprise content management Advanced case management Content analytics Document imaging and capture Information lifecycle governance Social content management Business analytics Business intelligence Predictive analytics Analytic applications Financial performance management Governance, risk and compliance Information integration and federation Information integration Master data management Big data analytics Data warehousing 26 Data management Database design and development Database management Database administration Information governance Data lifecycle management Data security and privacy Data quality management Warehousing appliances Warehousing software Industry models

27 Why are companies investing in Business Analytics? 27

28 Building the most comprehensive Business Analytics & Optimization portfolio More than $14B in Acquisitions Since 2005 More than 10,000 Technical Professionals More than 7,500 Dedicated Consultants Largest Math Department in Private Industry More than 27,000 Business Partner Certifications Autonomic Operations Developer Productivity Deep Compression Social Analytics/Consumer Insight Workload Optimized Systems Advanced Case Management Content Analytics Decision Management Stream Computing Pervasive Content purescale purexml

29 Advancing Business Analytics strategic capabilities Software and solutions that enable organizations to better understand, anticipate and shape business outcomes through the ability to spot and analyze trends, patterns and anomalies; to compare what-if scenarios and predict potential threats and opportunities; and to plan, budget and forecast resources. Business Intelligence Analysis Query & Reporting Real-time Monitoring Dashboards, Scorecards & Visualization Mobile, Disconnected & Collaborative BI Predictive & Advanced Analytics Data Collection & Market Research Data Mining & Text Analytics Analytic Solutions for Higher Education Statistical Analysis & Visualization Predictive Analytics Deployment Operational Decision Management Optimization, Mathematical Programming & Constraint Programming Analytic Applications Customer Analytics Financial Analytics Industry Analytics Supply Chain Analytics Workforce Analytics Financial Performance & Strategy Management Planning, Budgeting & Forecasting What-if Analysis & Profitability Modeling Management Reporting & Scorecarding Consolidation & Corporate Reporting Disclosure Management Governance, Risk & Compliance Financial Controls Management Operational Risk Management Policy & Compliance Management IT Risk & Compliance Internal Audit Management Platform & Risk Intelligence Web Analytics Website traffic analysis Website visitor behaviour analytics Ad hoc & ready-made reporting 29

30 IBM Business Analytics 30

31 Business Analytics delivers insights to drive better outcomes Software and solutions that enable organizations to better understand, anticipate and shape business outcomes through the ability to spot and analyze trends, patterns and anomalies; to compare what-if scenarios and predict potential threats and opportunities; and to plan, budget and forecast resources. Better Outcomes Smarter Decisions Actionable Insights Trusted Information "Globally, it (data mining and predictive analytics) is the fastest growing IT software category for company spending (Forrester). According to a Gartner study "predictive analytics (capabilities) will outpace available skill sets in 80 percent of organizations" Opportunities for individuals with such competencies are expected to grow 13 percent through 2018 (Bureau of Labor Statistics) 31

32 MIT Sloan Management Review & IBM IBV teamed up IBM Institute for Business Value + Surveyed 3,000 executives, managers and analysts plus extensive interviews Respondents represent more than 30 industries in 108 countries Interviews with IBM and MIT thought leaders Analysis by IBM and MIT SMR team IBM Corporation 32

33 Analytics correlates to performance 3x 5.4x Organizations that lead in analytics outperform those who are just beginning to adopt analytics Top Performers are more likely to use an analytic approach over intuition* *within business processes Source: Analytics: The New Path to Value, a joint MIT Sloan Management Review and IBM Institute of Business Value study. Copyright Massachusetts 33 Institute of Technology IBM Corporation 33

34 MIT Sloan Management Review and IBM IBV partnered again to explore how organizations are operationalizing analytics IBM Institute for Business Value + Second year of knowledge partnership Surveyed 4,500 executives, managers and analysts plus extensive interviews Respondents represent more than 30 industries in more than 120 countries Interviews with executives from leading analytic organizations Interviews with IBM and MIT thought leaders Analysis by IBM and MIT SMR team IBM Corporation 34

35 Our key findings underscore the urgency to act on analytics and chart the paths organizations are taking to transformation IBM Corporation 35

36 Analytics Advantage: The ability to create competitive advantage using analytics surged dramatically in 12 months, impacting the bottom-line IBM Corporation 36

37 Early adopters have outpaced others in gaining competitive advantage by expanding the use of analytics IBM Corporation 37

38 FINANCE MARKETING HR SALES OPERATIONS CUSTOMER SERVICE PRODUCT DEVELOPMENT 38 IT

39 IBM Academic Initiative: building skills Scorecards for a smarter & Dashboards planet Immediate Insights to Business Performance 39

40 IBM Academic Initiative: building skills Scorecards for a smarter & Dashboards planet Reports Immediate Insights to Business Performance 40

41 IBM Academic Initiative: building skills Scorecards for a smarter & Dashboards planet Reports Real-Time Monitoring Immediate Insights to Business Performance 41

42 IBM Cognos BI and Performance Management Capabilities Helps Decision Makers Find the Answers How are we doing? Why are we on/off track? What should we do next? 42

43 Business Intelligence Full range of BI capabilities Query, reporting, analysis, scorecarding, dashboarding) Delivers information where, when and how it is needed Self-service reporting and analysis Automated delivery of information in context Author once, consume anywhere Purpose-built SOA platform that fits client environments and scales easily 43

44 Predictive and Advanced Analytics Full breadth of predictive analytics data collection, statistics, data mining, predictive modeling, deployment services Putting prediction in hands of the business Decision Management Driving better business outcomes Attract and retain more profitable customers Detect and prevent fraud Improve resource allocation 44

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46 Actionable insights to optimize business outcomes Line manager Business user Business analyst Financial analyst Business manager Executive. How are we doing? Immediate, visual insight into business performance Why? Self-service analysis of trends and patterns What should we be doing? Insight to determine strategy, allocate resources and set targets Develop once, deliver in a variety of formats Dashboards Scorecards Reports Queries Analysis Content analytics Predictive modeling Planning/ budgeting IBM Business Analytics platform Data-agnostic, service-oriented architecture (SOA) platform Message sources Relational sources Application sources OLAP sources Modern and legacy sources 46 46

47 Let s build a smarter planet Course 47

48 Factors in making Academic Initiative recommendations on Analytics Audience Program / School within the University Targeted Skills & Capabilities Existing or New Course Access to lab environment of tutorials / exercises 48

49 IBM Academic Initiative Business Analytics Approaches & Scenarios Inserting IBM Analytics into existing courses Data Management Business Intelligence Data Mining Focus Areas: Business School, MIS, Computer Science Inserting IBM Analytics into NEW courses Data Management Business Intelligence Data Mining Focus Areas: Business, MIS, Computer Science, Engineering Collaborative curriculum consultations to create new curriculum New multi course certification programs New concentrations Foster collaboration between schools within a university 49

50 Pace University & IBM Academic Initiative: Analytics Course Concepts IBM Academic Initiative can collaborate with multiple schools within Pace, each with slightly different focus on business analytics The Seidenberg School of Computer Science and Information Systems Lubin School of Business Dyson College of Arts & Sciences Course Discussions: Data Mining Data Warehousing Business Intelligence Concepts to explore: Data Mining: Cognos Business Intelligence, SPSS Modeler Data Warehousing: DB2, Cognos Business Intelligence: Cognos 50

51 Planning Template: Sample University: Pace University School / Department: Professor: Lixin Tao Course Title: Data Mining Course Description: Key Goals/Skills: Student Exercises & Workshop goals: Candidate Technology / Course modules: 51 IBM SPSS Modeler, (SP0A002) Intro to IBM SPSS Modeler and Data Mining, (SP0A032) Predictive Modeling with IBM SPSS Modeler

52 Business Analytics: Technology & Skills Map Example V1.0 Type Business Analytics / Performance Management Predictive Analytics / Statistics Key Technologies IBM Cognos Business Intelligence 10 IBM Cognos Framework Manager IBM Cognos Express 9.5 IBM SPSS Statistics IBM SPSS Modeler Key Skills & Capabilities Analysis Query & Reporting Real-time Monitoring Dashboards, Scorecards & Visualization Meta Data Modeling Data Collection & Market Research Data Mining & Text Analytics Statistical Analysis & Visualization Predictive Analytics Deployment Operational Decision Management Optimization, Mathematical Programming Associated IBM Course Modules Cognos Report Studio: Author Professional Reports (V10.1) Cognos Report Studio: Author Reports with Multidimensional Data Cognos Framework Manager: Design Metadata Models (V10.1) Cognos Business Insight: Create Dashboards (V10.1) Cognos Business Insight Advanced: Introduction Cognos Report Studio: Author Professional Reports (V10.1) Cognos Framework Manager: Design Metadata Models (v10.1) IBM Cognos Mobile for Conumers using iphone (V10.1) IBM Cognos Mobile for Consumers using Blackberry (V10.1) IBM Cognos 10 Help Documentation Excercises IBM Cognos 10 Quick Tours IBM Cognos 10 Handbook (IBM Redbook) Intro to IBM SPSS Modeler and Data Mining Predictive Modeling with IBM SPSS Modeler Clustering & Association Models SPSS Modeler Advanced Data Preparation with SPSS Modeler Introduction to IBM SPSS Statistics Introduction to Statistical Analysis Using SPSS Statistics Data Management Manipulation with SPSS Statistics 52 Common Academic Course Topics Business Analytics Business Intelligence Data Mining Decisions Support Systems Business Intelligence Reporting Introduction to Statistics Predictive Modeling Text Analytics Content Analytics Statistical Modeling Statistical Analysis

53 IBM Academic Initiative Business Analytics: Key Steps of Adoption 1 Review Course / Curriculum Assessment course plans / syllabi Technology Alignment Identify candidate technology / capability sets Courseware asset recommendations Faculty Briefing Deliver overview of analytics tools and assets available Prioritize on candidate technology Faculty Workshops Hands on experience with the tools for faculty Collaborative review of exercises, tutorials Brainstorm session Technology Deployment & Access Planning On premise labs, cloud, hybrid 53

54 Academic Initiative: Faculty Brief Goal: Provide Faculty an overview of IBM Academic Initiative program, and the various IBM Analytics assets available. The brief will continue the dialog to work toward identifying key analytics capabilities which will bring value to courses, and student projects. Format: 1/2 Day Briefing Presentation: IBM analytics portfolio overview Presentation: IBM Academic Initiative Brainstorm Session: Faculty discussion Discussion: Analytics software for hands on tutorials Target: Attendees: Faculty Actions: Jointly develop agenda Invite faculty 54

55 Cognos Business Analytics: Faculty Workshop (EXAMPLE) 6 Focus Areas Business Analytics Summary Cognos: The capabilities Cognos: The architecture Samples & Exercises 1 Day Faculty Workshop Presentations Demonstrations Hands on exercises Courseware discussions Cloud / On Premise access Brainstorm session 55

56 Cognos Business Analytics: Faculty Workshop Brainstorm Session on Course Modules - Exercises What Business Analytics skills can be developed or strengthened with the use of Cognos 10 exercises in the previously mentioned courses? Exercises are available for the following personas or roles that represent people in a real Business Analytics deployment. We describe scenarios that meet the business needs of these users types. A user can take on the role of one or more personas. The six personas are as follows: Advanced Business User Professional Report Author Modeler Administrator Analyst Business User 56

57 Cognos Business Analytics: Faculty Workshop Brainstorm Session on Course Modules Exercise Material Sample Exercise Material: Framework Manager Before creating an IBM Cognos Framework Manager project, it is important for the modeler to understand the reporting requirements. This knowledge allows the modeler to make better decisions regarding data access strategies, metadata model design, and report package delivery to IBM Cognos BI. Reviewing sample or mock reports that meet the business needs is a good start, followed by identifying which data sources contain the information that is required. The modeler also needs to consider the following types of questions: Are those data sources appropriate for reporting? Is it a transactional system or the preferred reporting database structure, known as a star schema data warehouse or data mart? How fresh does the data need to be? Will your reporting occur daily, weekly, or monthly? 57

58 Cognos Business Analytics: Faculty Workshop Next Steps Review proposed topic areas Provide Feedback on focus areas Identify candidate target dates for faculty workshop Identify candidate attendees Tailor / Customize exercises and materials 58

59 Analytics: Resources IBM Analytics Analytics: The Widening Divide BA_WebOrganic&S_PKG= &S_CMP=web_ba_hp_right Smart Analytics Smarter Analytics Case Studies sph2.12 IBM Institute for Business Value: Business Analytics Papers 59

60 Let s build a smarter planet 60 bry@us.ibm.com

61 Let s build a smarter planet bry@us.ibm.com IBM Corporation 61

62 Watson 62

63 IBM Watson a look behind the scenes System Specifications IBM Technology Depth 2880 Processing Cores Content Analytics 90 IBM P750 Servers 16 Terabytes Memory (RAM) 20TB Disk 80 Teraflops (80 trillion operations per second) Workload Optimized Systems Business Analytics Big Data Databases / Data Warehouses 63 In the past 5 years IBM has spent over $14B in analytical acquisitions and $6B in R&D annually

64 IBM Watson brings together a set of transformational technologies to drive optimized outcomes 1 Understands natural language and human speech 2 Generates and evaluates hypothesis for better outcomes 99 % 60 % 10 % 3 Adapts and Learns from user selections and responses built on a massively parallel probabilistic evidence based architecture optimized for POWER7 64

65 After Watson: What are... the greatest possibilities? Banking and Financial Markets Healthcare Retail Government 65

66 Let s build a smarter planet Business Analytics Skills Gap & Opportunity 66

67 Let s build a smarter planet Big Data 67

68 Enterprises are addressing challenges that emerged during the last era of computing million servers worldwide 85% idle computer capacity 15% of servers run 24/7 without being actively used on a daily basis 1.2 Zetabytes (1.2 trillion gigabytes) exist in the digital universe 50% YTY growth 25% of data is unique; 75% is a copy Between 2000 and 2010 servers grew 6x ( 00-10) storage grew 69x ( 00-10) virtual machines grew 51% CAGR ( 04-10) Internet connected devices growing 42% per year Data centers have doubled their energy use in the past five years 18%increase in data center energy costs projected Since 2000 security vulnerabilities grew eightfold while IT budgets are growing less than 1% per year. 68