In this age of the data-driven business, a strategic plan helps ensure that you have a solid foundation for the business intelligence and data analytics assets upon which your business relies. Whether you are monetizing your data, predicting buying behavior, diagnosing supply chain issues, establishing a 360° view of your customers, optimizing talent acquisition, or consolidating corporate financials, you want to ensure that your business intelligence organization, governance, and platforms are up to the task.
OSI assists companies with:
- Business intelligence assessments
- Roadmap development
- Solution architectures
Business Intelligence Assessments
An OSI Business Intelligence Assessment will identify opportunities to improve your data analytics services. Starting with an understanding of your business’ strategy and objectives, we work with your team to evaluate the alignment of your current BI capabilities. By reviewing your methodologies, processes, existing applications, and BI technologies, we identify existing strengths, critical weaknesses, available opportunities, and potential threats. From this, we prepare an actionable set of business-driven recommendations.
OSI assists companies with the development of strategic BI roadmaps. Meeting with business stakeholders, we determine business priorities and unmet reporting and data analytics needs. Working with the Information Technology team, we review data realities and existing capabilities. The analysis of this combined information forms the basis of a roadmap that identifies the highest value and manageable BI initiatives
Once a company has assessed their BI capabilities and developed a strategic roadmap, it’s critical to ensure that the necessary delivery and data governance is in place. Data empowers business decisions when it is readily accessible and freely available. For this reason, self-service data access is the goal for many leading organizations. To ensure the success of this data delivery model, it’s critical that BI teams implement an effective governance framework. It must provide the flexibility needed by the business users while maintaining sufficient structure and control.
Regardless of the data delivery model (self-service, data visualizations, dashboards, or reports), successful companies understand the importance of data governance. OSI assists companies with the development of data governance programs that are lead by the business, facilitated by information technology, and focused on clear responsibility for data throughout its lifecycle.
Master Data Management (MDM) implementations ensure that the entire organization has a common definition of its most important data (customers, vendors, products, etc.).
Data Quality (DQ) initiatives establish the processes and procedures needed to guarantee the accuracy and completeness of data in source systems, data warehouses, reports, and analytics.