The explosion of data sources, larger volume and variety of data than ever at their disposal along with rapidly advancing technology is yielding a wealth of new business opportunities for organizations to leverage. With advanced data analytics services, the business gets newer insights and better answers that are beyond the scope of traditional business intelligence. This helps the decision-makers take corrective measures proactively to get to the desired results.
With many open source technologies available, incorporating advanced analytics solutions into the organization's workflow becomes a challenge. When the organizational data processes remain in siloes, advanced analytical initiatives are unable to drive measurable outcomes.
At Polestar, we bring deep knowledge at delivering advanced analytics consulting through open source machine learning platforms with R and Python to help grow your business. We define the organizational problem statements, discover the right data sources, understand the internal as well as external features that impact target features, estimate and validate models and set up a visualization layer on top.
We have delivered cutting-edge data and advanced analytics solutions to help organizations stay at the forefront of innovation. This has resulted in productivity gains at organizations and lead to improved business operations, more engaged employees, and better customer retention.
We have industry subject matter advanced analytics experts who bring a strong understanding of business processes along with a team of data scientists, statisticians, mathematicians, and coders. Some of the use cases that we have implemented at organizations are: sales forecasting, market-basket analysis, customer segmentation, fraud detection, price variability analysis and churn analysis.
In the new era, organizations want technology to respond to their users with natural commands. Built on cutting-edge AI technologies: deep learning, machine learning, and natural language processing solutions, our chatbot simulates the conversation of a human being via text chats in plain English language. The virtual assistant does not have any vested interest and emotions that come with human subjects, helping you to work faster, better and cheaper.
Data mining uncovers patterns and relationships in organizational data to reveal unprecedented insights, helping unearth patterns, and seasonality behind results. At Polestar, we bring our expertise on NLP (Natural language processing), web scraping, sentiment analytics, and topic modeling in order to help organizations with insights on their data. It enables them to take proactive actions to get to the desired results and quicken the time to realize value.
Recommendation engines filter the website data based on algorithms in order to recommend the most appropriate items to users. With E-Commerce applications, it leads to increased sales and better customer experience. We have expertise in creating recommendation engines with Content and Collaborative Filtering to create appropriate product placements and personalized recommendation. Our applications have led to increased average order value.
Predictive analytics solutions learn from the experience of your organization to identify the likelihood of future outcomes. We work on the following technologies in predictive modeling: Regression, Classification, Optimization, Time series, Forecasting, Planning & Budgeting. With our solutions, organizations have derived intelligence from vast swathes of organizational data to quell uncertainties and gain a competitive advantage.