Data Science & AI

Successful business begins with meaningful data.We leverage the untapped business intelligence you already own by uncovering powerful analytics and actionable insights. Our team fuels smarter, faster decision-making with data that lifts performance, speeds up innovation and boosts your revenue.

Are you not making use of valuable data from communication channels, connected devices, and business transactions? We can change that.

Work with us to build, test, automate, and release software in a reliable manner.

We employ state-of-the-art methodologies to make sure your project runs smoothly from beginning to end.

The AI Journey

Data Discovery
Data Augmentation
Data Management
Data Customization

Enterprise Data Management

Holistic Data & Information Strategy
Descriptive Analysis
Predictive Analysis
Prescriptive Analysis
Advanced Visualizations
Self-serve Analytics

Statistical Modeling

Exploratory Data Analysis
Hypothesis Validation
Graphical Representation

Data Analysis

Machine Learning
Model Classification
Prediction Model Preparation
Data Clustering

Market Analysis

Product Affinity Segmentation
Association Analysis
Recency, Frequency, & Monetary Analysis

Batch and Streaming Analysis

Real-time Analysis & Processing
Batch Processing

Cognitive Intelligence

Social Media Data Analytics
Text Mining
Sentiment Analysis

How it Works

We leverage Big Data and business analytics to extract valuable insights in real-time, on a large scale. Whether you need to consolidate structured, unstructured, or semi-structured data into a holistic enterprise environment, our approach unlocks new opportunities in the market as well as valuable, business-focused conclusions.

We have varied expertise in our fields of specialization. Here is a more detailed breakdown of what we can do.

Requirement Gathering

Researching and analyzing customer requirements.

Data Collection

Collecting raw data for use in data modeling.

Data Cleaning

Detecting and modifying/removing fraudulent data using data wrangling tools.

Model Creation

Testing data models according to your business needs.

Predictive Analytics

Identifying risks and opportunities using forecasting techniques.

Descriptive Analytics

Using data mining and data aggregation to understand the challenge.

Perscriptive Analytics

Using simulation and optimization to create the best possible solution.

Model Evaluation

Evaluating the solution model to fulfill your business requirements.

Deployment

Deploying the solution once it is finalized as per your feedback.

Areas of Expertise

Advanced Analytics

Using data mining, data visualization, pattern matching, and modeling tools to provide actionable insights along with creating a data warehouse.

Data Visualization

Conveying complex concepts in a visual manner to access customer behavior and predicting sales volume to improve the overall performance.

Business Intelligence

Using ERPs and data warehouses to gain actionable insights, initiating a business intelligence cycle, and building infrastructure from scratch to ensure data quality.