Today, organizations want to shorten the cycle from ideation to the software product roll-out, in order to get to market quickly and efficiently. At Polestar, we have helped numerous ISVs, product startups, & enterprises in developing great IT products, experiences and solutions with end-to-end software product engineering services.
We bring extensive experience in delivering cutting-edge solutions around Microsoft Power BI, Power Apps, SharePoint, Qlik, Tableau and Embedded Analytics. Vendor neutral and platform agnostic, we ensure that the solution deployed would be the best fit to your existing tech stack, as well as your future roadmap.
We can help you in evaluating best-suiting Tech Stack, product architecture reviews, product modernization options Evaluation, establishing customer specific innovation labs & new age tech consulting.
After conducting a multidimensional assessment of your product’s digital maturity against industry benchmarks, we work towards modernizing product architecture, implementing new features and functionalities and making the product digital ready.
We help to implement ideas, helping to develope the solution from the stage of ideation, and validation, as well as prototyping and POC
Following the user-centered design principles, we help to design world-class products with highly intuitive interfaces, that will enhance user experience
Help implement applications across the different devices, while navigating through challenging architecture, implementation and operation requirements
We help to ensure to ensure that all integrations to your enterprise systems are done, and that the solution will be scalable enough to integrate new system requirements in the future
With innovative testing tools and frameworks, we ensure that the application runs smoothly post launch and that it satisfies all the functional, usability and load testing requirements
Post implementation, we provide support and maintenance services to ensure that you are optimizing your investments and that any kind of issue is resolved at the earliest
Set up a big data storage system on HDFS for social media and CRM data - social media analytics, sentiment analysis, brand value analysis and advertisement cost spend analytics. Created an entire ETL layer on Python/ Spark and created API layer for extracting data from different source systems. Finally the visualization layer was created on Qlik Sense and React JS Framework