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.
