BUSINESS INTELLIGENCE:
Automation & Self-Service Reporting
Over the last decade we have seen a shift in Business Intelligence reporting—from being sent canned weekly reports via email to allowing end-users to interact directly with data to derive their own reports/insights quickly. This approach was built to democratize data and enable end-users to create customized reports based on their ever-changing analysis needs. However, there must be strong governance principles in place to ensure the data is available, accurate, and secure. Search Discovery helps companies begin to embrace this shift and move to a truly data-driven culture, and/or we can enhance automation & self-service reporting initiatives that are already in place.
WE DELIVER:
- Measurement framework alignment and strategic roadmap sessions to define what data your end-users need in their workflow
- Secure and scalable BI tool implementations that focus on performance
- Interactive visual analytics that allow end-users to explore data responsibly
- Governance and training to build your own Center of Excellence for data analytics
SUCCESS STORIES
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OUR APPROACH
At Search Discovery we have a tested methodology for rolling out self-service reporting to enterprises, which always begins with defining key business questions. Where will analytics be most impactful in our end-users’ workflow? What data is needed to support decision-making? Understanding these questions (and many others) helps us to put together a data analytics strategy that helps an organization achieve business impact.
STEP 1:
Work with stakeholders to define business goals and end-users requirements to build a roadmap for how the organization will leverage analytics
STEP 2:
Create a metric map and data model of existing business KPIs and other impDefine and support the buildout of the technology and data architecture to meet current and future business needsortant metrics & dimensions
STEP 3:
Develop visual analytics reports/dashboards that focus on answering business questions but give an end-user ability to customize the view for their needs
STEP 4:
Implement governance and security standards by which data is shared and fostered within the organization
STEP 5:
Support rollout and training by creating a COE that builds end-user capabilities and activates the analytics roadmap
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