Gartner Research

Reference Architecture to Enable Real-Time Self-Service Analytics

Published: 09 July 2019

ID: G00370032

Analyst(s): Daren Brabham, Soyeb Barot

Summary

Self-service analytics must be embedded within the underlying data management architecture, independent of tool selection. This document provides data and analytics technical professionals with a reference architecture to implement a modular yet scalable multitool BI environment.

Table Of Contents

Problem Statement

The Gartner Approach

The Guidance Framework

  • Prework
    • Understand Your Audience
  • Step 1: Evaluate the Current BI Architecture
    • Data Layer
    • Access Layer
    • BI and Reporting Layer
  • Step 2: Select the Implementation Model
    • The Centralized and Decentralized Implementation Models
    • The Federated BI Implementation Model
  • Step 3: Establish Guiding Principles
  • Step 4: Design and Build the Prerequisites
    • Prerequisite 1: Data Governance Framework
    • Prerequisite 2: Centralized Data Repository (LDW)
    • Prerequisite 3: Search, Discovery and Lineage
    • Prerequisite 4: Self-Service Data Preparation
    • Prerequisite 5: Real-Time Analytics Support
  • Step 5: Design and Build the Federated BI Architecture
    • Implementation Options
  • Step 6: Select the Right BI Tools for Implementation
    • BI Tool for Information Producers
    • BI Tool for Information Consumers
    • Can We Support More Than Two BI Tools?
  • Analytics Development Life Cycle
  • Follow-Up

Risks and Pitfalls

Gartner Recommended Reading

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