SuperTruth x imaware
imaware's Data-Driven Transformation
95%
reduction in diagnostic data analysis time
20%
of total revenue from identifying customers
105,000
diagnostic records standardized
200
hours of manual work saved
Challenge
imaware faced several obstacles in utilizing its diagnostic data effectively
Access Issues
Business teams struggled to directly access insights from vast historical diagnostic data.
Reliance on Technical Teams
Manual data analysis relied on technical resources, slowing actions on business insights.
Complex Data Landscape
Non-technical users found it challenging to extract meaningful business intelligence from diverse data sources.
Data Standardization Gaps
The company lacked consistency across multiple testing categories and systems.
Solution
imaware partnered with SuperTruth to revolutionize its data management process:
Unified Data Warehouse
Consolidated diagnostic data from disparate systems into a single, standardized repository, ensuring data completeness and consistency.
Reliance on Technical Teams
Provided business teams with real-time access to insights via an intuitive SuperTruth chatbot, enabling non-technical users to query and explore data effortlessly.
Interactive Visualizations
Delivered dynamic visualizations, such as heat maps, charts, and graphs, to make data insights more accessible and actionable.
Business Impact
imaware realized significant operational and strategic benefits
Accelerated Analysis
Reduced diagnostic data analysis time by 95% (from three weeks to two hours), allowing technical teams to focus on high-impact projects.
Improved Efficiency
Standardized 105,000 diagnostic records, saving 200+ hours of manual work and minimizing human error.
Enhanced Revenue Growth
Enhanced Revenue Growth: Identified a key customer segment (males aged 30–35) contributing 20% of total revenue, enabling targeted campaigns that boosted sales.
Empowered Decision-Making
Facilitated data-driven strategic decisions by leveraging natural language queries to answer high-value business questions on frequency, clusters, and occurrences.
