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Business Intelligence and Analytics Fundamentals

発行 Ovum (TMT Intelligence, Informa) 商品コード 126107
出版日 ページ情報 英文 23 Pages
納期: 即日から翌営業日
本日の銀行送金レート: 1USD=111.53円で換算しております。
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ビジネスインテリジェンス技術および分析技術の基本 Business Intelligence and Analytics Fundamentals
出版日: 2014年01月17日 ページ情報: 英文 23 Pages




  • Ovumの見解
  • 主なメッセージ
  • 定義


  • 概要
  • 合理化と業務経費の節減
  • 顧客管理プロセスの改善
  • 業務の俊敏性向上
  • 社内における事業実績調整能力の強化
  • 不必要なリスクの回避と確実な法令順守


  • 製品の選定よりもBI戦略の策定が先
  • BIスイート選定に影響を及ぼす要因
  • 必要とされる分析機能のタイプ
  • サポートが必要なユーザーの数とタイプ
  • BIの導入方法
  • データストレージ、統合、応答時間の必要条件
  • 既存ITインフラストラクチャとの統合レベル
  • OvumのBIスイート評価フレームワーク
  • BIスイートのコンポーネント
  • データ管理とデータ統合サービス
  • 分析サービス
  • アプリケーションサービス
  • 情報アクセスおよびプレゼンテーションサービス


  • 再編が進む市場の現状
  • 小規模ながら成長を続けるクラウドBI市場
  • ビッグデータの世界におけるBI
  • モバイルBIの出現
  • 重要な役割を担うコンサルタントとシステムインテグレーター


  • ハイリスク、ハイリターンのBIプロジェクト
  • 一般的な障害と陥穽
  • BIプロジェクトの実施−ベストプラクティス
  • ビジネスケースの作成
  • 役員の支持確保
  • IT部門と事業部門の密接な連携
  • 大きなビジョンを念頭に置きながら、作業を迅速に推進
  • 効率的なユーザー研修


  • 企業への提言
  • 組織内の連携を強化するため全社的なプロジェクト管理(EPM)に注目
  • 分析技術導入プロジェクトの成功率を高める分析手法
  • 実用BIシステムに移行する意味
  • データ基盤の適正化
  • 総保有コストの削減に貢献するBI能力開発センター
  • 各種導入モデル
  • サプライヤーへの提言
  • ユーザーインターフェースの使いやすさ向上に向けた取り組み
  • 統合性と相互運用性の強化に向けた取り組み
  • 特定業種向けBI製品
  • 各種料金モデルとライセンスモデル


  • 用語集


Product Code: IT014-002869

Business intelligence (BI) and analytic technologies continues to see rapid growth in today's tight economy, driven by fierce competitive pressures. Also fueling growth is the technologies' ability to improve decision-making, identify new business opportunities, maximize cost savings, and detect inefficient business processes.


BI is much more than a set of software tools. It describes a set of processes and technologies for simplifying and enhancing the use of information within an organization. In particular, BI provides a data foundation together with an associated analytic environment that can support, underpin, and improve decision-making capabilities in organizations.

Technology efforts must be underpinned by a BI strategy. A BI initiative provides little strategic use unless it is driven by the objectives of the organization. Before embarking on any type of BI initiative, organizations must invest in defining a BI strategy that outlines how BI will help the organization meet its strategic and operational business goals.

A multitude of factors influence the BI suite selection process. As part of the selection process, organizations need to acknowledge that tools and organizational needs are typically diverse.

Features and Benefits

  • Understand Ovum's definition of BI and analytics and how it can play a pivotal role in helping your organization to achieve better results.
  • Understand what to look for and what questions to ask when implementing and deploying a BI solution.

Key Questions Answered

  • What are the functional layers of a BI suite?
  • Who are the common BI users in an organization?
  • What trends are affecting the BI market today?

Table of Contents


    • Catalyst
    • Ovum view
    • Key messages
    • Definition
    • Overview
    • Rationalizing and reducing operational costs
    • Improving the customer management process
    • Maximizing operational agility
    • Enhancing business performance alignment across the enterprise
    • Avoiding unnecessary risk exposure and ensuring adherence to regulatory compliance
    • BI strategy comes before technology selection
    • A range of factors affect the BI suite selection decision
    • What type of analysis is needed?
    • What number and type of users need supporting?
    • How should BI be deployed?
    • What data storage, integration, and latency requirements are needed?
    • What level of integration with existing IT infrastructure is needed?
    • Components of a BI suite
      • Data management and data integration service
      • Analysis service
      • Application service
      • Information access and interaction layer
    • A consolidating market landscape
    • The cloud BI market is small but growing
    • BI in a Big Data world
    • The emergence of mobile BI
    • Consultants and systems integrators have an important role to play
    • BI projects can be high risk, but also high reward
    • Common barriers and pitfalls
    • Running a BI initiative - best practice
      • Building a business case
      • Securing executive sponsorship
      • Ensuring closer alignment of IT and business
      • Deliver quickly, but keep the big picture in mind
      • New mobile technology requires delivery rethink
      • Train users effectively
    • Recommendations for enterprises
      • Look towards EPM for greater organizational alignment
      • Analytics brings a higher yield of analysis
      • Consider the implications of moving to operational BI
      • Get the data foundation right
      • A business intelligence competency center can lower TCO
      • Consider alternative deployment models
    • Recommendations for vendors
      • Increase user interface usability efforts
      • Continue on the path of integration and interoperability
      • Verticalize BI product offerings
      • Consider alternative pricing and licensing models
    • Methodology
    • Further reading
    • Definitions
    • Author
    • Ovum Consulting
    • Disclaimer


  • Figure 1: Questions to ask when establishing BI suite requirements
  • Figure 2: The functional layers of a BI suite
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