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
- Ovum view
- Key messages
- BUSINESS IMPACT
- 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
- SELECTION CRITERIA
- 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
- SOLUTION MATURITY
- 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
- DEPLOYMENT AND MANAGEMENT CONSIDERATIONS
- 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
- Further reading
- Ovum Consulting
- Figure 1: Questions to ask when establishing BI suite requirements
- Figure 2: The functional layers of a BI suite