2010 Trends to Watch: Business Intelligence Technology published by Datamonitor in January, 2010. This report consists of 17 pages and the price starts from US $ 1895.
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
