Business Intelligence

Innovative techniques for creating knowledge and increasing confidence in decision making.

If business intelligence analysis is to be of true value, it must identify previously unforeseen commercial opportunities. Inventri can provide an organisation with unique insight into how it can start using its data for knowledge based decision-making and create unforeseen opportunity for growth.

Key Features

• Database management systems
• Statistical techniques
• Predictive models, analytics and intelligence environment
• Data management and analysis
• Statistical analysis & modeling
• Problem definition and solution design (assessment of context and needs)
• Project management
• Risk assessment and management
• Communication and training

Our Approach

The modern enterprise will know that to remain competitive, it must find new ways to generate revenue by turning information into meaningful knowledge. An organization can find that competitive edge by expertly applying business intelligence methods to analyse its fundamental business data and knowledge.

• An organization will gain insight into why the quality of questions it asks heightens the integrity of results it receives in a business intelligence exercise.

• If the Problem Statement is clearly defined in the context of enterprise strategy, it will mean that business requirements can easily be distilled into realistic and mutually agreed outcomes.

• A business will understand what can (and cannot) be achieved from any subsequent data analysis by undergoing a capability review to identify any potential constraints or limitations.

• A business should be encouraged to be diligent, curious and willing to challenge the status quo in order to successfully identify any variables that could compromise the quality of solutions or answers to business problems.

• Any external influences or information sources with potential to influence the final solution will be identified and, more importantly, be used to improve solution outcomes.

• Deliverables must be defined in context with business aspirations, objectives, sophistication and budget and success must be stringently validated against pre-defined and expected outcomes.

• Solutions will be tailored specifically to client requirements rather than being prescribed by available toolsets or limitations in the quality of data.

• Delivery of a business intelligence solution does not signify the end of an assignment but rather the beginning of a knowledge journey.

• The final solution must reveal opportunity for continuous process improvement and create desire for greater knowledge and information based decision-making.