Quahog Data Visualization is a module that allows medical enterprises like hospitals, pharmaceutical companies, and bioresearch organizations to build insights and decision dashboards from their data on a unified platform. It features data import, transformation, analysis and visualization capabilities. Pre-built models can be configured to extract behavioral patterns, perform collaborative filtering, and recognize named entities for information extraction. The platform provides flexibility in data organization and integration with other modules for runtime reporting and insights. Its advantages include time savings, inbuilt analytical models, and instant notifications.

1. Quahog Life Sciences
Insights, Predictions
and Recommendations
Data Visualization For Medical Enterprises

2. Quahog Data
Visualization
Quahog Data Visualization
Module allows medical
enterprises to build Insights
and Decision Dashboards
bringing in agility to decision
making processes

3. For Hospitals For Pharma For Bioresearch
Analyze patient journeys,
operational metrics and
business intelligence of
your hospital enterprise all
over a unified platform .
Analyze and validate
different strategies for
phenotypic approaches
and target-based
approaches using holistic
data models
Analyze interactions
between the components
of biological systems and
how these interactions give
rise to the function and
behavior of that system
Designed For Medical Data

4. Self Service Smart Dashboards
for faster insights

5. Platform Features
Data Import
Allows users to import data from multiple
data sources/formats
Data Transformation
Allows users to transform data sources
using a simple intuitive interface, creating
a unified data source for analysis
Data Analysis
Allows users to slice and dice data to
create segments and reports. Pre-built
analytical and learning models can be
configured on request
Data Visualization
Allows users to build dashboards and
custom visualization using the chart
library. Multiple Dashboards can be
created based on user profiles

6. Useful for extracting behavioral patterns.
Behavior Patterns can be extracted from
patient interaction data, cellular
interaction data as well as molecular
interactions for machine learning
Collaborative Filtering
Useful for making automatic predictions.
Users can predict the behavior of a
certain compound, based on past
patterns of similar compounds.
Behavioral Pattern Extraction
Useful for deriving the probability of a
certain event by ranking interactions of all
influencers. Can be used to find
influencers in a certain pathway or
process
Named Entity Recognition
Useful for information extraction. NER
can be used to quickly detect or tag
textual information by looking up pre-
defined data sets like NCBI Data Sets
Ready Integration of Models
Probabilistic Attribution Model

7. The Edge
The Unique Advantage of the platform is that it
provides the user to create a flexible schema in
order to organize their data. The platform acts
as a federation layer with just the logical data
model and connects to the data sources to
build relationships between entities.
The Visualization Layer is also integrated to our
core modules: Expert System and Unified
Patient Application.

8. Advantages
- Time to Insights
Runtime Reporting Capability ensures insights
are available instantaneously
- Save time and money
Easy Configuration saves up time and
resources needed to build custom reports
- Inbuilt Models
Inbuilt Models allow business to quickly
deploy analytical models for faster time to
operate
- Instant Notifications
Set Notifications to alert users of a specific
event, process or pattern discovery

9. Examples
• Hospital BI Dashboards
• Pharma KPI Dashboards
• Research Data Discovery Dashboards