Data & Business Intelligence - Storyboard

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Establish an Analytics Operating Model – Phases 1-3 Self-service analytics is largely misunderstood by many organizations. Your main goal should be to accelerate the speed of analytics and data-driven decision making. This...
Enterprise Content Management: Introduction Use this blueprint as an introduction and guide to Info-Tech's best practices approach for modern enterprise content management (ECM).
Create and Manage Enterprise Data Models – Phases 1-3 Take a step-by-step approach to create data models that provide business value and are linked to business capabilities and processes.
Effectively Use SharePoint as Your ECM Solution – Phases 1-3 Review the three critical phases of a successful SharePoint ECM project: governance, information architecture, and migration.
Effectively Use SharePoint as Your ECM Solution – Phase 3: SharePoint Migration Planning Each situation is different. Use the migration options and sample plans to decide which transition option works best for your project.
Effectively Use SharePoint as Your ECM Solution – Phase 2: SharePoint Information Architecture Set the foundations for findability, compliance, and personalized user experience by organizing and labeling SharePoint content.
Effectively Use SharePoint as Your ECM Solution – Phase 1: SharePoint Governance Ensure that user experience drives the SharePoint solution by assembling decision-making and communication channels.
Build a Data Pipeline for Reporting and Analytics – Phase 3: Select Data Design Patterns This phase of the blueprint, Build a Data Pipeline for Reporting and Analytics, will help you select the appropriate data design patterns for your data pipeline components.
Build a Data Pipeline for Reporting and Analytics – Phase 2: Identify Data Pipeline Components This phase of the blueprint, Build a Data Pipeline for Reporting and Analytics, will help you identify data pipeline components.
Build a Data Pipeline for Reporting and Analytics – Phases 1-3 This storyboard will help you understand how to build your data pipeline using the most appropriate data design patterns.

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