IQA holds a team of data scientists with strong research experience in Mathematics and Statistics which helps in building algorithms and finding interesting learning approaches on large volume of data.

Our research is not just restricted to any one specific domain but are more focused on resolving any business domain specific problems using mathematical and statistical approaches.

We mainly collaborate the conventional statistical techniques with the modern algorithms to resolve complex domains specific problems in Predictive models: Clinical Research, detection of Fraud, Customer purchase behavior, Personal interest of web users, Optimizing Manufacturing process, Risk modelling, Image mining etc.

We are mainly focused on the machine learning in Artificial Intelligence applications.

Statistical Framework

IQA has qualified PhD research statisticians working round the clock in the field of research on emerging statistical models which fits across various domains.

Our Research Scholars are experienced in statistical and mathematical programming, based on this we are exploring the opportunities in more innovative way to build the predictive Machine Learning algorithms for predictive modelling and Statistical research work.

We have the potential to build the analytical tools which fits across regulatory bodies. Our Statisticians & Mathematicians can help them for statistical modelling in life sciences and Business Analytics.

Data Mining

Just having the data is not enough, we need to know what must be done for its usage. We help how to organize client's data and extract insights about customers and customer behavior. These insights will eventually help our clients determine their conversion rate optimization strategy.

It is essential that we know how to evaluate customer's survey results to extract relevant information. This will help distinguish relevant data from irrelevant information and learn how to improve the design of customer website.

Surveys are the tools that you can use to identify the factors that prompted customers to make purchases or prevented them from buying. They also tell you how customers describe their business, products and services. On-site surveys are even more valuable as they provide the information from users. Some of these users will have conversions and some won’t. This gives us better understanding of why conversions didn’t happen. Perhaps the most important information provided by onsite surveys is the objections and confusion that prevented customers from making a purchase.

User tests are another tool that can provide with deep insights about the visitors. These tests help understand the real-time experiences of visitors by watching and discovering what they find interesting or confusing. Listening to visitors describe what they find useful or like on your website.

The quality of the data gathered is also very important. Better data gives us greater understanding and better analysis of consumer behavior. It helps us evaluate the performance and identify areas for improvement.

Data Visualization

IQA provides clinical data visualization and business intelligence solutions to help sponsors make sense of their clinical and safety data. IQA provides sponsors their clinical data including tabular and graphical reports from a single database or across multiple databases.

Data Visualization solutions include:
  • BA/BE or Clinical Trials Study metrics: Site Info, Safety Info and Patient Management.
  • Dashboard Interface.
  • Ad-hoc reporting.
  • Centralized Statistical Monitoring solution for enhancing Risk-based Monitoring.

Data Anonymization

IQA data anonymization services are aimed at systematically removing personal or patient identifying information from clinical data for BA/BE, Clinical Studies, ensuring patient privacy and data integrity. Anonymized data can be provided to external researchers and collaborators to conduct further analysis. It helps advance medical science or improve patient care as part of publication requirements for journal submissions.

IQA provides a holistic approach to define, execute and implement data anonymization strategies across multiple studies.

Our key data transparency services include:
  • Data Anonymization processes and programming.
  • Custom Anonymization metadata integration.
  • Safe harbor approach and/or risk based approach for anonymization.
  • Re-identification risk assessment.