BUSINESS INTELLIGENCE:
Automation & Self-Service Reporting

Over the last decade, we have seen a shift in Business Intelligence reporting—from being sent weekly canned reports via email to allowing end-users to interact directly with data to derive their own reports/insights quickly. This shift democratizes data and enables end-users to create customized reports based on their ever-changing analysis needs. However, strong governance principles must be 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. We can also 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

Multinational Pharmaceutical Co. | Comprehensive Strategy Engagement

Top British multinational pharmaceutical company builds a center of excellence through comprehensive strategy engagement.

Released first production dashboards within 90 days
Built a center of data excellence.
Instilled an experimentation culture and optimization capability

High Tech | Optimization Program Across Channels

Insights from personalization program drive business growth, novel opportunities, and incredible media spend savings.

Drove 11% growth of registrations
388 net new contacts, opportunity valued at nearly $7.7MM
Potential of $1MM cost savings in media spend

American Cancer Society | Optimization Current State Assessment & Vendor Evaluation

The new technology and processes created by Search Discovery helped American Cancer Society increase test volume and impact.

5.4% growth in YoY donations

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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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If moving to a self-service reporting model seems daunting, or you’re struggling to do it in a scalable & secure way, drop us a line.

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