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市場調查報告書
商業智慧技術市場動向：2010年
2010 Trends to Watch: Business Intelligence Technology
| 出版商 |
Datamonitor |
| 出版日期 |
2010年01月 |
商品編碼 |
111700 |
| 內容資訊 |
英文 17 pages |
| 價格 |
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商業智慧技術市場動向：2010年 是由出版商Datamonitor在2010年01月所出版的。
這份英文市場調查報告書包含17 pages 價格從美金1895起跳。
商業智慧（BI）技術市場，因為可降低各種主要產業的成本，在正在摸索最大收益的企業間急速成長。但相對而言，BI套組、導入、終端用戶組織的變化也越趨激烈。
本研究報告包括對企業而言管理龐大資料造成經營上問題的理由、經營分析為各產業領域核心能力的理由、給企業與供應商客戶雙方的建議等情報，內容摘記如下。
第1章 概要
第2章 分析
- 經營費用的合理化與削減
- 提升顧客管理程序
- 預測提高維持顧客所採取的行動
- 對顧客維持單一看法
- 顧客檔案與分類
- 因應市場複雜增加所需要的機動性與高性能的商業實踐
- 企業各等級的BI運用
- 將BI作更即時的應用以減少延遲決定
- 利用BI訂定前瞻性戰略
- 加強全社業績齊頭
- KPI與測定基準：BI與EPM的關連
- 用風險管理重新考慮EPM
- 降低無謂風險、確保遵守
第3章 行動
- 組織提案
- 將BI的範圍與價值普及至企業
- BI基礎設施必須更精簡
- 加強資料管理
- 降低BI門檻
- BI不是後照鏡而是積極的情報
- 提高EPM討論以提供BI商業目標
- 技術/服務供應商提案
- 提高BI整合與互補應用
- 提供垂直性BI產品
- 開發新執照/價格模型的必要
- 將中間市場設為目標
- 導入新資料類型以充實BI分析
- 將BI視為合作進程
附錄
Abstract
Introduction
Business intelligence (BI) technologies are seeing rapid growth, driven by
enterprises' desire to maximise cost savings and identify revenue
opportunities across all major industries. However, underlying this growth are
also radical qualitative changes in how BI is being packaged, delivered and
utilised by end-user organisations.
Scope of this research
- Explains why the exponential growth of data both inside and outside a
company' s firewall remains a huge management challenge for businesses.
- Describes why business analytics is becoming a core capability for
organisations across multiple industry sectors.
- Provides advice for both enterprise and vendor clients.
- Covers all industry sectors and geographies.
Research and analysis highlights
Companies are looking to BI to help support core initiatives such as
predicting and anticipating market changes, minimizing exposure to risk,
reducing operational cost and boosting productivity. The ability to extract,
integrate, analyse and interpret business information in a timely manner makes
BI a vital capability for all organisations.
Customer-focused enterprises now see BI and analytic tools and applications as
key to improving both their internally and externally facing customer
management process. BI, data mining and prebuilt customer analytic
applications are now mature and offered by most of the leading BI vendors.
Organisations looking to align business objectives with operational
performance will increasingly focus efforts on EPM, rather than purely on BI.
Disconnected modes of BI analysis and reporting are making it hard for large
enterprises to get a holistic view of company performance. EPM can help by
switching the focus from measurement to management.
Key reasons to purchase this research
- Identify market trends to help evaluate opportunities for effective BI
deployment in your industry sector.
- Understand the BI landscape, including drivers, technology evolution, and
vendor approaches.
- Evaluate the potential of business analytics to contribute to your
business strategy.
Table of Contents
OVERVIEW
- CATALYST
- SUMMARY
- OVUM VIEW
ANALYSIS
- RATIONALISING AND REDUCING OPERATIONAL COSTS
- IMPROVING THE CUSTOMER MANAGEMENT PROCESS
- Predicting behaviour to improve customer retention
- Gaining a single view of the customer
- Profiling and segmenting customers
- INCREASING MARKET COMPLEXITY DEMANDS AGILITY AND SMARTER BUSINESS PRACTICES
- Operationalisation of BI across all levels of the enterprise
- Making BI more real-time by reducing decision latency
- Leveraging BI and analytics to become more forward-looking
- ENHANCING BUSINESS PERFORMANCE ALIGNMENT ACROSS THE ENTERPRISE
- KPIs and metrics: providing the critical linkages between BI and EPM
- Rethinking EPM in the context of risk management
- AVOIDING UNNECESSARY RISK EXPOSURE AND ENSURING ADHERENCE TO REGULATORY
COMPLIANCE
ACTIONS
- RECOMMENDATIONS FOR ORGANISATIONS
- Broaden the scope, reach and value of BI by making it pervasive across
the enterprise
- Making BI infrastructures ‘leaner and meaner’
- Focus on data governance
- Lower the latency barriers for BI
- Move from a rear-view mirror BI to forward-looking intelligence using
smarter analytics
- Give BI a business purpose by elevating the discussion to EPM
- RECOMMENDATIONS FOR PROVIDERS OF TECHNOLOGIES AND SERVICES
- Increase BI integration and interoperability efforts
- Verticalise BI product offerings
- A fresh look at licensing and pricing model development is required
- Target the nascent mid-market
- Embrace new data types to enrich BI analysis
- Recognise BI as a collaborative process
APPENDIX
- DEFINITIONS
- Analytics
- Appliance
- BI
- Cloud computing
- Data warehousing
- ESP
- EPM
- Open source
- SaaS
- METHODOLOGY
- FURTHER READING
- LEAD AUTHORS
- CONTRIBUTING AUTHOR
- OVUM CONSULTING
- DISCLAIMER
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