Información On Demand Podemos predecir lo que sucederá?

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1 Información On Demand Podemos predecir lo que sucederá? Jeffrey Haggott IBM Corporation Americas Data Warehouse Business Unit Latin America Sales Leader

2 Temas de Nuestra Charla Gestión de Información Data Warehousing La Inteligencia de Negocios (Business Intelligence) Análisis Predictivo Optimización Próximos Pasos

3 Hoy Cual Periódico Contiene Información de Más Valor? El Periódico de Ayer El Periódico de Hoy El Periódico de Mañana Hoy Día

4 Desafíos para Lograr el Valor de la Información

5 Desafíos para Lograr el Valor de la Información 47% of users don t have confidence 59% of managers miss information 42% of managers use wrong information in their information they should have used at least once a week AIIM & Accenture Surveys, 2007

6 Usando Análisis Predictivo Para Ganar Ventaja Competitiva Competing on Analytics "Some companies have built their very businesses on their ability to collect, analyze and act on data. Every company can learn from what these firms do." Thomas H. Davenport Author & Professor Babson College - Ranked #1 among all business schools for entrepreneurship

7 7 Nuevas Iniciativas Enfocadas en Optimización Empresas Están Luchando Para Ganar Ventaja Competitiva Business Optimization Growth is 2 Times Faster than Business Automation $594B 5.1% CGR Business Optimization Information Agenda Ventaja Competitiva Dynamic Demand Planning Financial Risk Insight Customer Profitability 5.1% CGR $594B IT Spending Estimate* 2008 Business Automation Application Agenda ERP & Financials Supply Chain Management Call Center Operations Faster Processing, Reduced Costs Includes Hardware, Software and Services. Does not include Networking, Printer, or Standalone Printer or PC Markets. CGRs Opportunity estimates based on analysis done by the IBM Market Intelligence Department. IBM Market Intelligence data is provided for illustrative purposes and is not intended to be a guarantee of market opportunity.

8 En Que Nivel de Madurez Analítico se Encuentra tu Empresa Hoy Día? Dónde Desean Estar?

9 En Que Nivel de Madurez Analítico se Encuentra tu Empresa Hoy Día? Dónde Desean Estar? Análisis Predictivo e Información On Demand Qué podemos hacer para mejorar? Podemos predecir lo que sucederá? Cómo estamos en relación a nuestra estrategia?

10 En Que Nivel de Madurez Analítico se Encuentra tu Empresa Hoy Día? Dónde Desean Estar? Analytic-Driven Análisis Predictivo Incorporado Metric-Driven Operational BI Dashboards Scorecards Cross Silo Historical Static Reports Spreadsheets Evolución Hacia el Análisis Predictivo e Información On Demand

11 Como Vemos La Inteligencia de Negocios (BI)? Ejemplo: Reporte de Ranking de Clientes por Facturación, Rentabilidad e Información al Detalle Ejemplo: Oferta via Pagina Web de Cross-Selling y Bundling de Productos en Tiempo Real

12 Ejemplos de Aplicaciones de BI Soluciones Analíticas Desarrolladas por el Área de Negocios y TI Financial Services & Insurance Customer segmentation Propensity to buy Credit Risk analysis Fraud Analysis Compliance, Basel II Retail Market Basket Analysis Price Elasticity Store Layout / Placement Promotions analysis Category Management Telecommunications Revenue Assurance Churn Prevention Fraud Prevention Network Analysis Manufacturing Demand forecasting Supplier analysis Quality control Product Development

13 Qué Requiere Tu Empresa Para Obtener Más Madurez Analítico? BI & Performance Management Tools Industry Models Master Data Management Data Warehouse Information Integration

14 Desafíos: Integration costs & skills Metadata synchronization Performance optimization Administration costs & skills Qué Requiere Tu Empresa Para Obtener Más Upgrade synchronization Madurez Analítico? Maintenance costs & skills BI & Performance Management Tools Ongoing integration certification Industry Models Master Data Management Data Warehouse Information Integration

15 Challenges Integration costs & skills Metadata integration Performance Optimization Administration costs & skills Maintenance costs & skills Synchronization of upgrades Ongoing integration certification IBM s IOD Framework for BI IBM Cognos 8 IBM Cognos 8 IBM Industry Models IBM Industry Models InfoSphere MDM Server InfoSphere Warehouse InfoSphere MDM Server InfoSphere Warehouse IBM Information Server IBM Information Server

16 Madurez Analítico También Requiere Empleados Con Amplios Conocimientos Analiticos

17 Madurez Analítico También Requiere Un CEO Comprometido a la Toma de Decisiones de Negocios Basados en el Análisis de la Información a un Nivel Corporativo

18 IBM s IOD Framework Para BI IBM Strategy and Implementation Services Metadata IBM Cognos 8 IBM Industry Models InfoSphere MDM Server InfoSphere Warehouse IBM Information Server IBM Servers and Storage

19 IBM Has Invested To Meet These Requirements One Single Information Platform An Industry Unique Information Platform Mitigates client risk Accelerates client value Modular, allowing asset re-use IBM Provides the Roadmap for Success!

20 IBM Industry Data Models & Information Server Five Ways the IBM Data Model Accelerate Data Warehouse Development IBM Information Server Unified Deployment Understand Cleanse Transform Deliver Discover, model, and govern information structure and content Standardize, merge, and correct information Combine and restructure information for new uses Synchronize, virtualize and move information for in-line delivery Unified Metadata Management Parallel Processing Rich Connectivity to Applications, Data, and Content Information Server is the ONLY Data Integration platform capable of exploiting the full value of the Data Models

21 Customer & Product Profitability Financial Risk Insight Workforce Optimization Optimización Dynamic Supply Chain Multi-Channel Marketing Industry Models, Blueprints & Frameworks End-to-End Capabilities Flexible Architecture for Leveraging Existing Investments Other Information Sources IBM Cognos TM1 IBM Cognos 8 Planning IBM Cognos 8 BI AlphaBlox IBM InfoSphere Warehouse IBM InfoSphere MDM Server IBM Information Server DB2, IMS, Informix IBM Content Manager, IBM FileNet

22 Información On Demand Elementos Claves de una Solución de Data Warehousing y BI Business Glossary Data Mart Structures Business Terms Operational Applications Information Analyzer FastTrack Target Structures Source Target Mappings Information Server InfoSphere Warehouse Performance Management

23 Líderes Analíticos Globales IBM is the Leading Provider of 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 & drug stores

24 Five Step Data Warehouse Solution Lifecycle Business Users & Analysts Data Modeler & Business Analysts Data Integration and BI Developers, Data Modelers and DBAs Business Users Define new Business Create Enterprise Deploy Enterprise Deploy Reporting Data Use reporting solution Requirements and Data Warehouse and Data Warehouse and Marts and load with and business glossary Glossary of Terms Data Mart designs and load with Trusted Data Trusted Data to understand and profile source systems measure KPIs Requirements Definition and Assessment of Data Inventory Implementation of Data Integration and Business Intelligence infrastructure The goal is to decrease project time significantly and reduce risk!

25 Próximos Pasos Briefing Workshop Business Pilot Objective Understand Value of Information Strategy Build Vision and High Level Roadmap Identify and Architect Initial Pilot Duration Half - Full Day 3 6 Weeks 4 12 Weeks Deliverables Industry best practices White Papers Business Value References Current State Analysis Business Goals & Requirements Desired Technical Architecture Gap Analysis & Roadmap Business Value Opportunities Pilot Identification Business Processes Technical Architecture Demos Business Case Implementation Plan Implementation Best Practices

26 Ascential, Trigo, DWL, SRD, Venetica, iphrase Acquisitions Información On Demand Investment, Innovation and Deliveries Drive Increasing Capabilities Unlocking the Business Value of Information for Competitive Advantage DB2 Viper IOD External Launch Data Studio IMS 10 Dynamic Warehousing IDS 11 Princeton Content Manager 8.4 Acquisition Content Analyzer FileNet P8 DataMirror Information Server Acquisition purexml Unicorn Acquisition LAS Acquisition FileNet Acquisition InfoSphere Warehouse InfoSphere MDM Server 2007 Cognos Acquisition Solid Acquisition and more Delivering End-to-end Capabilities Unlocking the Business Value of Information for Competitive Advantage

27 Preguntas?

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