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.