Data Science As A Service (DSaaS)

Data Science As A Service (DSaaS)


Data Science as a Service (DSaaS), can empower your business by driving data analytics program to improve profitability. SrinSoft is your one-stop solution to build business intelligence dashboards, data mining, predictive modeling, or prescriptive analytics.

Data Analytics is the buzzword for businesses of all sizes. However, the technology is still quite niche. Give your organization the edge over others with various benefits of Data Science. Our Data Science as a Service (DSaaS) leverage the power of progressive analytics to provide the most out of your customer data and improve retention. We help our customers solve complicated data challenges, forecast total market and service demands to improve customer satisfaction. SrinSoft AI works to discover business value for its clients through cutting-edge machine learning and Artificial Intelligence technologies and solutions.


With strategies, roadmaps, workshops, coaching, and assessments, we help organizations move from little to no analytics to highly impactful data and analytics cultures, ensuing in better decision-making and maximum business performance.


Data Engineering, Modeling and Machine Learning

Building a data science-driven strategy can give your business a vast boost, but not if you have to spend months doing it. Our data scientists will also handle your predictive models through our expertise to give you the insights you need without having to get a degree in data science. We develop statistical and/or machine learning models to deliver predictive, prescriptive, and optimized results which helps clients to compete in the marketplace.

Our team of experts, engineer and process client’s data and prepare it for analysis and monitoring continual performance. We help clients to move to cloud or on premise, or whether it is moving from on premise to the cloud, we help them in all their requirement. our data engineers can design, develop, test and move into production the data pipelines you require.

Visualization and Dissemination

Effective visualization and fast dissemination of modeling results helps in analytics-driven culture. The right audience need to see the right information at the right time to make a right decision for the business. At SrinSoft, we believe that visualization is an integral part of any data analytics, as it allows users to instantly spot trends, track goal achievement, easily identify outliers and compare the performance of different categories, products, brands, etc. We adapt visualization solutions so that they answer the business questions of a customer.


Analytics Infrastructure

A robust analytics infrastructure is required for competing on analytics. We offer the knowledge and the know-how to help clients implement, maintain, and modernize their analytics platforms.

Our Offerings

At SrinSoft we use advanced machine learning and artificial intelligence technology along with traditional statistical modeling and forecasting methods to build and train models from large or conventional data. Our offerings for Data Science as a Service (DSaaS) include, but are not limited to, the following:

  • Data Wrangling: Filtration of your data, restructuring the data and enhancing the available raw data to present it in a beneficial format.

  • Business Intelligence: Entails technologies and applications which help in better collation of business information.

  • Machine Learning: Providing artificial intelligence which provides systems with the ability to learn and get better with experience intuitively

  • Automated Dashboards: Implementation of a dashboard that involves tapping into different data sources such as CRM, marketing automation and much more.

  • Advance Analytics: Using high-level methods as well as tools to project future trends, events as well as behaviours of your consumers.

  • Deep Learning: Usage of algorithms and multiple layers to extract higher-level features from the raw insertion of data.

Why SrinSoft


  • • Build customized Machine learning models and algorithms

  • • Generate and deploy intelligent insights in near real time

  • • Draw actionable insights leveraging IoT analytics

  • • Data Security and Compliance

  • • Quick Turnaround and Timely Delivery

  • • Flexibility and Adaptability