BI Solution Development
Design, develop, and implement a BI solution that helps achieve business objectives and capitalizes on improvement opportunities

• Gather and understand short and long term solution requirements in light of current and future business objectives
• Design an architecture solution to support current BI application requirements and extend to future application needs
• Implement the overall solution
• Develop a train the trainer program

BI Application Migration
Targeted applications are taken through the application development lifecycle, from requirements analysis to deployment in the target BI platform

• Examine existing BI application and confirm migration requirements
• Define requirements to deploy migrated application in targeted BI tool
• Identify gaps between requirements and capabilities of targeted BI tool
• Design and deploy a solution that accommodates BI application migration

Managed BI Delivery Program
Coordinate BI lifecycle activities and provide managed support for the entire BI environment

• Complete outsourcing of a BI program
• Provide requirements and solution development services
• Provide operations, maintenance engineering and user support
• Provide Software configuration management services

BI Application Upgrade
Design and implement a BI upgrade roadmap that brings a client’s BI platform to the latest version of a vendor’s BI software

• Gather and understand short and long term BI requirements based on current and future business objectives
• Examine existing BI application
• Identify gaps and report requirements
• Design and implement BI upgrade

BI Metrics Management
Align tactical actions with strategic goals in order to improve performance and enhance accountability across the enterprise

• Meet with key stakeholders to identify key performance indicators across the enterprise
• Consolidate disparate versions of the same measure into an enterprise standard
• Create metrics that are specific, measurable, actionable, relevant, and timely (SMART)
• Set progress measurement benchmarks and review performance regularly
• Take action to correct or further improve metric results

Data Integration (Structured/Unstructured)
Integrating structured and unstructured data from disparate data sources (including legacy databases and other systems) including

• Development of software programs that extract, cleanse, transform, and load data into data stores
• Data profiling to understand data availability and quality issues
• Schema design to create data models specifically designed to support end-user information and analytical needs
• Extract meaning from text using various linguistic techniques, adding structure to the unstructured data and integrating it with structured data for information analysis