Power your business with data analytics and artificial intelligence on AWS
Data Analytics • Machine Learning • Migrations
We understand your business and technical priorities in order to customize solutions for the best results. We empower your business teams to make better decisions through access to data and insights using business intelligence. Our team of data experts helps customers build on AWS faster, with more elasticity, at a fraction of the cost of building an in-house team. We architect end-to-end data solutions to provide seamless and efficient access to data that makes it easy to discover, prepare, move, and integrate data from multiple sources. With deep AI and ML expertise, we combine the power of analytics with machine learning to force multiply business value. We build end-to-end governance that provides control over where data sits, who can access it, and what can be done with it at every step of the data workflow.
Data Analytics
Let the data that you’ve created and stored give you insights that you need to run your business.
Machine Learning
Machine learning is rapidly becoming a learning and thinking tool that you can use to predict and take actions.
Migration Services
The cloud simplifies your world and enables you to focus on your business.
Intellicision Suite
The groundbreaking, versatile line of products improves productivity and confidence across your teams.
Compuva Case Study
Machine Learning
We deliver deep learning, AI, and precise insights that power your business.
Data and Analytics
Unlocking Business Potential Through Data.
Migrations
We simplify the cloud, so you can use it securely, cost-effectively, and confidently.
Industry Use Cases
- Recommendation Engines
- Inventory Analytics
- Bid Predictors
- Warranty Analytics (Claims)
- Spot Pricing Analytics
- Freight Analytics
- Demand Forecasting
- Quick Quotes
- Customer 360
- Customer Portal
Technical Capabilities
- Data Migration
- Data Lake Design and Construction
- Data Lake Customization
- Data Pipelines
- Data Warehouses
- Data Applications
- Data Infrastructure Modernization
- BI/Visualization tools with Quicksight
- Data & Analytics Strategy Engagements
We architect end-to-end data solutions to provide seamless and efficient access to data that makes it easy to discover, prepare, move, and integrate data from multiple sources.
With deep AI and ML expertise, we combine the power of analytics with machine learning to multiply business value.
We build end-to-end governance that provides control over where data sits, who can access it, and what can be done with it at every step of the data workflow.
We understand your business and technical priorities in order to customize solutions for the best results.
We empower your business teams to make better decisions through access to data and insights using business intelligence.
Our team of data experts helps customers build on AWS faster, with more elasticity, at a fraction of the cost of building an in-house team.
Machine Learning
Machine learning is the science of developing algorithms and deep learning techniques to analyze big data and discover patterns hidden within the data. It allows data scientists and business analysts to automate manual processes to extract data, better understand trends, forecast, and generate new business intelligence reports.
Data and Analytics
Data and analytics refer to the process of collecting, processing, and analyzing raw data to extract valuable insights and information. This process can help answer business questions related to historical trends, future predictions, and decision-making. Data analytics can be descriptive, diagnostic, predictive, or prescriptive, each serving a different purpose and used at different stages of the data analysis process.
Migrations
Data migration in data analytics is often necessary when organizations upgrade their data storage systems, change their data management platforms, or move their data to the cloud. Proper planning and execution of data migration can help ensure that the process is smooth, efficient, and accurate, minimizing the risk of data loss or corruption.