IQA holds a team of data scientists with strong research experience in Mathematics and Statistics which helps in building algorithms in 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 behaviour, Personal interest of web users, Optimising Manufacturing process, Risk modelling, Image mining etc.

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

Statistcal Framework

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

IQA 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 has to be done for it to be of any use to you. Here at IQA we can 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 what will help you improve the design of your website.

Surveys are the tool 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 describes their business, products and services. On-site surveys are even more valuable, as they provide the information from users. Some of these users will convert 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 helps understand the real-time experiences of visitors by watching and discovering what they find interesting or confusing and listening to them as they 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, and 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 can provide 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 trails 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 to help advance medical science or improve patient care, or as part of publication requirements for journal submissions.

IQA provides a holistic approach to defining, executing and implementing 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