We help you embrace analytics through a great foundation in data practices.
The possibilities are truly endless. A business can gain a major competitive edge by predicting prices, demand and other critical growth variables efficiently. However, the enthusiasm to get these rich insights should not override the need to build strong data infrastructures. We bring all the best practices together to lay a solid foundation for data engineering, data science and data visualization.
We’ve worked on various verticals – right from healthcare, finance and telecom to supply chain, travel and manufacturing and we can help you with industry specific use cases.
What can we do?
We run an audit of your existing systems to find data sources – from images to sensors and documents. We process and store them with right architecture so that they can be retrieved later for insightful analytics.
Built upon sound data engineering practices are data science applications. We work on data validation and modelling to build exploratory, predictive, IPA or prescriptive analytics. Right use of AI, ML and other tech stack is our expertise.
We work on building industry specific dashboards and help you view data in a useful way. You can easily identify patterns and break complex datasets to take business decisions. We use Tableau, Power BI and other leading tools for rich visualization.
How we assess your level?
Client needs a free-to-use mobile app designed to be a digital gateway connecting consumers with their providers. Giving patients & family members complete control over their room environment.
Client wants to puts businesses in control by providing them with a Smart Mobile App Builder, enabling them to create their own custom app centralized around their business.
Challenges & Solutions
Sparity has expertise in transforming contracts, images, medical scans and other such data into structured XML to ensure an enterprise wide data integration and analytics.
The output is usually only as good as the input. We work hard to build a strong data infrastructure with correct labelling to ensure reliability of all statistical modelling.
New data gets added on real-time basis and we ensure that everything is validated, cleaned and integrated in an accurate way. Even at granular level, it is sacrosanct.