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2010 Trends to Watch: Business Intelligence Technology

Published by: Ovum Plc

Published: Jan. 20, 2010 - 17 Pages


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

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
  • 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.
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.

Reasons to Purchase
  • 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.


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