Sentiment Analysis

Computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the user’s attitude towards a particular topic, product, etc. is positive, negative, or neutral. We transcribe and transcript the texts and call logs even in regional languages and run the analytics to determine the sentiment of a client. Primarily applied on reviews and survey responses, online, social media and call center data.

Advanced Prescriptive Analytics

Enter the final frontier of analytics. With advanced prescriptive analytics, we deliver decision options to take advantage of descriptive and predictive analytics helping you plan in advance for a possible future opportunity or mitigate future risk. Have a clear understanding of what will happen, when, and why will it happen. We use advanced algorithms to prescribe by generating recommendations to make better decisions and modify the trend of business approach according to each client’s KPI’s.

Predictive Analytics

Have a glimpse of future with machine learning, statistical techniques and predictive modelling. We help you understand the possible opportunities and the risks by exploring the current and historical data patterns.

Artificial Intelligence and Machine Learning

Gain an edge over the rest of the market KPI’s. Understand the behavior of data to predict and prescript. We use Machine Learning and Artificial Intelligence with various algorithms and statistical model techniques for Data Analytics and automate analytical model building to produce accurate results and analysis.

Data Visualization

Done after extensive discovery sessions with individual stakeholders the visualization gives a pictorial representation of relationships among the represented data. The visualizations are defined by the profile and the functions of each stakeholder as required by them.

Data Analytics

Defines the different forms and modes on how insights can be derived from data. We have expertise in real-time to batch analytics and to deliver descriptive, diagnostic, predictive and prescriptive analytics.

Data Warehouse

Defined based on client KPI’s and our expertise is on defining the same with either Cube based and Cube-Less architecture. The decision on which architecture to be chosen is based on the current requirements, how dynamic the reporting has to be and the future roadmap from analytics perspective. Aligning the analytics roadmap to the cost that can be incurred in future is a major factor for us to define the warehouse architecture.

Data Lake

We create a centralized repository of structured and unstructured data of different data types from heterogeneous data sources. This helps businesses in collating the data from multiple divisions and services and start building a comprehensive repository which forms as the foundation to build an agile and flexible businesses intelligence platform.