OpenRoadmap+™

Overview

The rapid maturation of OSBI technologies is creating new opportunities for our clients. Many are just beginning to invest in BI solutions, having been previously shut out because of the high costs of owning proprietary BI software. Others have made significant investments over the past decade but are investigating whether now is the time to begin switching to OSBI. In all cases, clients ask how best to direct their ongoing BI investments to improve business performance.

OpenRoadmap+ is designed to meet both challenges. It tailors a pragmatic OSBI adoption plan while applying a performance management lens to define and prioritize BI projects that emphasize process improvement and evidence-based strategy development. Through an intensive 4-6 week analysis we confirm, challenge, and extend your BI program vision delivering an implementation roadmap plus an initial analysis of your business and source data requirements.

Deliverables

The OpenRoadmap+™ deliverables include:

BI Roadmap	Program Implementation Plan Sequencing of projects for parallel and iterative implementation Prioritized by business need Mindful of project and data dependencies Project Definitions High-level functional purpose/scope Expected source data requirements Architectural build-out expectations and dependencies Effort and timeline estimates
Business Requirements	Organized by performance related processes Factors which are expected to have an impact on performance Leading and lagging indicators which will be used to measure outcomes Opportunities for embedded operational intelligence, higher analytics and process experimentation Cross-reference to required source data
Governance Structure and Process	Define ongoing program management structure Define program management processes Project management and coordination procedures Issue escalation process Data quality management and data stewardship
Conceptual Architecture	Application, database and systems component identification and definition with software recommendations Conceptual architecture diagram Reporting (managed, standard and ad-hoc) OLAP Analytical/Statistical Modeling and Data Mining Dashboards/Analytical Portals Database technology Servers and Storage Meta-data management ETL
Source Data Inventory	Identified by source Internal vs. External (i.e. owned vs. purchased) Volumetrics and Growth Accessibility High-level complexity, quality and integration assessment