Data Science Ecosystem

Numtra is the most-efficient way to uncover rich data-driven business insights.

Why Data Science

Big data is shaping our future. Companies that utilize their data and analytics effectively have a strategic advantage, providing greater value, being more efficient, understanding their customers better, and much more.

Our Approach

Our Data Science Ecosystem is the fastest and most cost-effective way to turn raw data into Data Science results and business recommendations.

Learn

Business Objectives and Challenges

Understand

Data Sources & Environment

Discover

Key Relationships in Data

Predict

Likely Future Outcomes

Recommend

Actions to Take

Measure

Improve Key Metrics

The ecosystem can be described in various ways, from a model development perspective, a data handling view, or by the fundamentals around which the ecosystem thrives.

Data Science Lifecycle

Our Capabilities

Our Capabilities include some of the most popular developments in data science

BI & Data Warehousing

“Business intelligence” is an umbrella term for drawing meaningful information from a company’s raw data. It requires extracting, transforming, loading, and visualizing a company’s various, and often disparate, data sources.

Statistical & Geospatial Analysis

Statistics help make inferences about data and explain experimental outcomes. From A/B testing and error-based algorithms to location-based analysis, these analytics power critical business decisions.

Exploratory Data Analysis

Specific techniques are effectively applied to summarize and understand data sets. This is often aided by data visualizations, which are helpful for effectively interpreting the data at hand and identifying patterns and outliers.

AI & Machine Learning

An extension of traditional computer programming, artificial intelligence relies on agents to interpret data and fuel optimization models. Machine learning automates model building, and allows machines to process and adapt with experience.

Predictive Modeling

Important insights can be extracted from building and using models built on historical data. Predictive modeling is a form of advanced analytics used to make predictions about significant unknown future events.

Deep Learning

Many unstructured data sets exist of plain text, image, audio, and visual files that contain valuable information. Discovering patterns in multimedia data involves extracting implicit knowledge from these varied sources.

Results Across Industries

Profit
Lower your Costs
Customer
Understand your customers better
Churn
Keep your existing customers
Marketing
Find the right customers
Revenue
Get more revenue from your customers

Our Customers

Our Partners