IBM Dynamic Warehousing Software Day Vilnius 10.10.2007 Miikka Kiiski Information Management Sales Leader IBM Software Group Finland and Baltics
Leveraging Information to Create Business Value Insightful, Relevant Information When and Where it s Needed Information On Demand Optimize Each Transaction Call Centers, Field Ops Help Solve Crimes by Delivering Suspect List to Detectives Arriving at the Crime Scene OLAP & Data Mining Merchandising, Inventory, Operations Optimizing Police Force Deployments Query & Reporting Financials, Sales Crime Rate Reports 1
Dynamic Warehousing A New Approach to Leveraging Information Information On Demand to Optimize Real-Time Processes Dynamic Warehousing OLAP Dynamic & Data Warehousing Mining Requires: to Understand Why and Recommend Future Action 1. Embedded analytics that can be leveraged as part of a business process 2. Ability to incorporate knowledge from unstructured information Query & Reporting to Understand What Happened Traditional Data Warehousing 3. Support for real-time access to aggregated, cleansed information 4. Complete set of integrated capabilities for Information on Demand 2
More Examples of Dynamic Warehousing in Action Enabling Information On Demand for Business Advantage Traditional warehousing Insurance fraud analysis and reporting Reporting on customer issues Historical sales analysis and reporting Crime statistics and reporting Dynamic warehousing Identifying potentially fraudulent claims prior to approval and payment Transforms healthcare Identifying possible related issues, churn risk and crosssell opportunities while engaged with the customer Transforms customer service Discovering relevant customer information to identify cross sell opportunities and improve negotiating position at the point of sale Transforms sales effectiveness Identifying related incidents and potential suspects prior to arriving at the crime scene Transforms crime fighting 3
IBM Information Management Why is it a challenge for organizations to leverage information effectively? Information distributed in silos across the organization Volume and variety of information increasing Velocity of business driving real-time requirements Not accurate Not complete Not trusted Not timely Increased need to aggregate and analyze information dynamically 4
Creates challenges for traditional warehousing Not just for traditional query and reporting purposes anymore Warehouses must now: Address expanding needs for analytics and information on demand Leverage ALL types of information, including unstructured Serve increasing numbers and types of applications and users, with varying service level demands Increasingly mixed workload environments and the constantly changing needs of different business constituents require more dynamic warehousing capabilities 5
Dynamic warehousing Extending beyond the warehouse to enable information on demand Search and text analytics Information integration Process management Enterprise data modeling Traditional warehouse Industry perspective Master data management 6
How IBM Enables Dynamic Warehousing Integrated offerings to enable information on demand IBM Search OmniFind and text Analytics analytics Edition IBM Information integration Server IBM Process FileNet BPM WebSphere management BPM IBM Enterprise Rational Data data modeling Architect Traditional IBM DB2 warehouse Warehouse IBM Industry industry data perspective models IBM WebSphere Master data Customer Center management Product Center SOA Infrastructure IBM Global Services 7
IBM DB2 Warehouse software A complete, integrated platform Embedded analytics Modeling and design Data mining and visualization Data partitioning Performance optimization Workload control In-line analytics Deep compression Data movement and transformation Administration and control Database management IBM DB2 Warehouse 8
Deliver inline visualization and analytics Embedded analytics capabilities Simplicity Extended Insight Can be embedded directly into applications and Web pages Out-of-the-box visualization tools 9
Extended Insight Introducing IBM OmniFind Analytics Edition Rich analysis interface for combining structured and unstructured data Combines search, text analytics and data visualization Unstructured analytics framework Analysis tools Original Data Structured Data Call Taker: James Date: Aug. 30, 2002 Duration: 10 min. CustomerID: ADC00123 Q: I do not know how to install an additional harddisk in NetVista. I need quick support. Unstructured data Category Linguistic analysis Extracted metadata [Call Taker] James [Date] 2002/08/30 [Duration] 10 min. [CustomerID] ADC00123 [product] harddisk [product] NetVista [request] install [service] support Item Mining engine Search, visualization and interactive mining 10
Integrated tools for dynamic warehousing Seamless integration of advanced information integration Simplicity IBM Information Server 11
Integrated tools for dynamic warehousing Seamless integration of enterprise data modeling Simplicity Data Architect 12
Industry data models Leverage industry best practices for faster time to market Over 400 Customers! Extended Insight Banking (Banking Data Warehouse) Financial Markets (Financial Markets Data Warehouse) Health Plan (Health Plan Data Warehouse) New Offering! Profitability Risk management Claims Relationship marketing Risk management Asset and liability management Asset and liability management Compliance Medical management Provider and network Sales, marketing and membership Compliance Financials Insurance (Insurance Information Warehouse) Customer centricity Claims Intermediary performance Compliance Risk management Enhanced Capabilities! Retail (Retail Data Warehouse) Customer centricity Merchandising management Store operations and product management Supply chain management Compliance Telco (Telecommunications Data Warehouse) Churn management Relationship management and segmentation Sales and marketing Service quality and product lifecycle Usage profile 13
IBM is the leading provider of data warehousing Industry leaders use DB2 for warehousing 11 of the top 12 banks 7 of the top 8 auto manufacturers 5 of the top 6 insurance companies 4 of the top 6 general merchandisers 4 of the top 5 specialty retailers 3 of the top 4 food and drug stores IBM is ranked as a leader in Gartner s Magic Quadrant for Data Warehouse Database Management Systems 2006. 14
IBM enables dynamic warehousing Delivering greater value from information More dynamic and balanced approach to warehousing is key Broad set of capabilities beyond the warehouse required IBM provides the most comprehensive platform to address these needs 15
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