Creating the Right Foundation
We sat down with key business stakeholders and the in-house analytics team to determine their current processes and requirements and map the company’s:
Current analytics capabilities.
Analytics talent (team members, their skills, how the team works with business users, etc.).
Data availability, access, usability, reliability, and storage.
Goals for analytics usage in business applications.
The resulting info gave us a clear idea of where the company was, analytics-wise, and how success would be measured.
Managing Process and Implementation
Now that the big picture was set, we could start focusing on implementation. During this process, we worked with our client to:
- Choose the right technology to support analysis and user-friendly insight consumption.
- Identify best-fit analytics products.
- Create the appropriate benchmarks, feedback systems, methodologies, and knowledge management practices.
- Implement governance rules to appropriately leverage analytics for business decisions, set well-defined timelines for application, and secure senior-level support.
Delivering Data-Driven Decisions
Within a year, we helped our client build an extended analytics team of subject matter experts, business consultants, and data scientists. We then conducted thorough training sessions that helped all involved integrate and apply business analytics.
On the technical side, we set up a central data repository that served as a user-friendly portal across the organization’s trade, sales, marketing, and finance functions. This sits atop a robust, automated analytical framework with strong feedback and knowledge management processes.
Now, this pharma business can confidently move forward, knowing that it has a data analytics system that can fully support its needs.