NirogGyan - Patient Engagement SaaS for Healthcare Providers

How Datazip's data platform improved NirogGyan’s health data understanding

NirogGyan™ is a Patient Engagement SaaS for Healthcare Providers that aims to bring their patients back to them with innovative data-based health tech products like -

  1. Smart Reports,
  2. Health Insights Dashboard, and
  3. WhatsApp Conversational AI

With the ambition to help patients and health enthusiasts get more actionable insights from their diagnostics data, NirogGyan is gearing up to offer personalized health recommendations with intuitive information displays and text chat. They are also working to fast-track their growth across emerging and large markets through the right partnerships.

With a vision to personalize and digitalize health care data and also serve global markets, Datazip is an effective way to cater to their data infrastructure needs. 

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"Finding the right data engineer is a time taking process and over and above setting up a robust data infrastructure that can scale as requirements grow would easily take 3-4 months. With Datazip we can actually leapfrog our data capabilities. Datazip also offers powerful data exploring features, much needed for us as we need to build insights from the data we get from many businesses. "

Vivek Bezawada

Joyneel Acharya (Co-founder)

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Challenge: Continuously sync data from Postgres DB and model the data in the data warehouse to prepare it for further use with a BI tool. 

One of the primary challenges for NirogGyan is that they have to standardize their data and link it with their health data and knowledge hub.

 Why Datazip?

Diffused data ownership is very challenging for early-stage organizations. Everyone is trying to do multiple things and speed is of greater importance than long-term viability of things like data strategy. But as soon as companies look to expand their value proposition, and get efficient at various levels, data comes to immense use.

NirogGyan has two important sources of data, the incoming Lab reports data and the high-quality knowledge data on health. Both of these datasets have to be joined for the enablement of rich analytics use cases. But for this to happen, the data in the tables need to be standardized and this is many times easier if all the required data is synced to one data store and mapped to the right values.

As an early-stage team that has to optimize time and resources, Datazip removed the requirement of hiring a Data engineer and quickly set up the end-to-end data infrastructure that enabled great data visibility. This information is currently being used to continuously improve the source-level schemas and data validations that would tremendously improve data quality and easier standardization of the data.

The next level of data use case for NirogGyan is to be able to strike chat-based personalized conversations with users to help them navigate the complex world of health care with easy-to-understand explanations.

Solution - A no/low code data infrastructure product that quickly sets up a single source of truth

With its in-built capabilities to connect to 150+ sources in a no-code manner along with a warehouse and a BI tool integrated into one single tool which sits in their VPC, Datazip was the product of choice for NirogGyan, since it could cater to their ever-increasing requirements seamlessly with no requirement of hiring a costly data engineering team. Post their partnership with Datazip, NirogGyan was able to build complete visibility of the data they have, improve data quality and make important connections with different data sets. They are also able to share specific dashboards with external users as well.    

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       3x                                        100%                                   4x

Faster time to Data value        Confidence in Data             Discoverability

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An Example of bio-parameter level data insights:

What was once thought to be the curse of older women is now the plague of all modern women - IRON DEFICIENCY. 75 percent, the no. thrown up by the Niroggyan Smart Data Decode platform. This is in line with Global Nutrition Report 2017, that over half (51%) of Indian women of reproductive age (15 to 49 years) are anemic.

How Skyber attained peace of mind with Datazip

In the future, NirogGyan is interested in exploring a deeper partnership where they collaborate with Datazip to improve the product and explore other aspects of the platform, especially enabling their data products. They are also happy to refer Datazip to other companies. 

If you are interested to understand how your data can give you a competitive advantage, improve customer satisfaction, optimize your ad spending, or increase revenue, do schedule a demo with us with this link.