Data Science & Analytics

At Innovizant, we have built a Data Science practice around financial services with seasoned professionals who have several years of experience in the Architecture, Design and Agile Build out of Data Lakes for large banks and insurance companies. We have grown our service business due to laser focus on Big Data project delivery meeting both expectations and client timelines.

What is Data Science?

Data Science is evolving requiring more specialized skills as its utilization grows across the business enterprise.

We look for insights into business problems and opportunities that will transform strategy. This requires expertise translating the business problem into abstract mathematical formulas that are modeled to real world scenarios. Often, this requires large scale data assimilation and computational practices to enable new data science methods like deep learning.

Leveraging the value of data science requires a working knowledge of multiple disciplines. Statistics, Data engineering, Scientific methods, Visualizations, Advanced computing methods, Domain expertise all come into play to construct a sustainable data science practice within your business.

Data science is opening a new door of insight about trends and patterns in your business not accessible in the past. Innovizant delivers the key to this door of opportunity.

All these disparate fields come together with also an out of the box thinking that can create the type of insights that are not obvious through the use of traditional statistical analysis.

Companies large and small have all been moving into establishing and harnessing data science in new innovative ways. A strong move into Artificial Intelligence on Big Data is where the next frontier that these institutions are moving toward.

Why Innovizant?

Innovizant is pioneering several solutions that enables companies adapt and rapidly scale merging traditional means of gathering insights with new techniques. Our team of data scientists with PhD certified data scientists in varied fields like Psychology of Human Decision Making to Deep Learning provide a broad base of skillsets and domain knowledge.

Innovizant combines this expertise with a team of business strategy consultants from leading business schools and consultancy firms McKenzie and BCG. Finally, our strong development team both onsite, near-shore and off-shore that offer varied skills in Big Data Analysis, Machine Learning and Statistical Visualizations creates a talent pool that can be deployed quickly and efficiently within your enterprise.

Innovizant has market-ready solutions in Data Science with a transparent, portable format that can easily be consumed on big data Hadoop based platforms. Some of the Data Science Solutions can be categorized as the following:

  • Customer Lifetime Value scores using Big Data and Analytical technologies.
  • Channel Analytics identifying the optimal channel for the customer
  • CECL solution to predict credit risk, exposures to financial institutions, and meet FASB reporting deadline requirements
  • AML Solutions identifying money laundering activities
  • Data Quality assessment using Machine Learning
  • Fraud solutions to detect and report online claims fraud

Deep Learning Solutions:

Deep Learning is a branch of Machine Learning that extracts information from different layers and representations of non-linear data. Deep learning allows computers to build complex concept out of simple concepts. By feeding sufficient data into deep neural networks , it is often possible to learn better representations than handcrafted features.

Deep Learning Solutions:

Some of the solutions we provide are:

  • Identification of themes in a series of emails that point to likelihood of attrition
  • Identification of fraud from a claimant based on several pictures and videos obtained through the claim as well as from social media and internet
  • Digital agents interfacing with customers can identify and authenticate the correct customer voice without needing to check the last 4 digits of SSN, Date of Birth and other classical techniques. The agent can then have a conversation with the customer understanding the tone, accent and sentiment.

Predictive Machine Learning

Machine Learning is branch of Computer Science where we make a minimalistic assumptions about the data or its distribution. It places emphasis on large datasets and compute capacity. We have developed solutions where we have known labels of outputs using supervised learning and also those with unsupervised learning where we have no indication of the type of output labels.

Some of the solutions we have that are market-ready and deployed at several of our large clients are:

  • Customer Lifetime Value scores using Big Data and Analytical technologies.
  • Channel Analytics identifying the optimal channel for the customer.
  • CECL solution to predict credit risk, exposures to financial institutions and meet FASB reporting deadline requirements.
  • AML Solutions identify money laundering activities
  • Data Quality assessment using Machine Learning
  • Fraud solutions to detect and report online claims fraud

Additionally we are developing ChatBots for insurance and banking that leverage the above capabilities.