Are you finding it increasingly difficult to manage, integrate, store, and analyze large amounts of data? Government agencies need to seamlessly integrate data from multiple sources in modern and legacy systems and streamline workflows to avoid errors and delays in decision making. It gets even more complex when much of your data is sensitive or classified, requiring a security-first approach and cleared team of data experts. Our experienced data scientists and engineers have a successful government track record in AI/ML, data visualization, and predictive analytics.
Data experts helping you:
DATA CAPABILITIES
Data Analytics
- Predictive analytics to build data models to detect emerging risks and opportunities
- Programmatic analysis to uncover data trends and key performance indicators
- Data mining to process large amounts of data and extract what’s valuable for the mission
- Business intelligence to gather, analyze, and visualize data supporting decision making
- Performance measurement and reporting
Data Infrastructure + Automation
- Data warehousing to store and organize large volumes of data for analysis
- Data orchestration to automate movement and processing of data
- Data automation to streamline data tasks and processes
Artificial Intelligence & Machine Learning
- AI/ML model building, training to develop data and analytical models, and deployment
- Text extraction and keywords/label exploration utilizing natural language processing (NLP)
- Zero-shot classification utilizing transfer learning
- Pre-trained, AI generative text processing models
Data Visualization + Reporting
- Data visualization to translate complex datasets to tell a story through data
- Geospatial visualization to translate maps, satellite images, and geographic data into insights
- Time series visualization to identify patterns in historic data and predict future trends
- Performance measurement to set and prioritize KPIs to measure and monitor performance
- Real-time dashboards and reporting make it easy to monitor trends, risks, and opportunities
Data Processing + Management
- Preprocessing to clean, transform, and prepare data for analysis for consistent data set
- Data management governance to properly manage, store, and secure data
- Data migration transferring data from one system and migrate to another
- Data integration to integrate multiple systems to communicate and exchange data
Data Tools + Infrastructure
- AWS Sagemaker, Azure, and IBM Cloud Pak for Data
- Amazon QuickSight, Tableau, and PowerBI for data visualization and dashboards
- AWS Glue for fully managed ETL
- AWS VPC, EC2, and S3
- Amazon Redshift for data warehousing
- Tensor Flow, Keras, and OpenCV for computer vision for image recognition and classification
WHY GRAHAM?
- Experienced team of data scientists and
engineers with deep understanding of AI/ML technologies – leveraging the latest advancements
- Experts in predictive analytics, visualization, hybrid cloud solutions, modernization, and more
engineers with deep understanding of AI/ML technologies – leveraging the latest advancements
- Extensive experience working with AWS Virtual Private Cloud (VPC), Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), and AWS Glue
- Exceptional track record customizing AI/ML, data migration, and integration solutions for agency’s needs
OUR APPROACH
Graham’s Unique Approach to Data
5-Step Process to Enhance Insights
RECENT PROJECT
Built Hybrid Cloud Solution for Big Data Migration + Integration for NIST
NIST’s data was growing rapidly and overwhelming its existing infrastructure. Multiple legacy systems made data access and analysis difficult, and posed critical challenges to efficient management and integration of large amounts of data. It was impacting NIST’s core mission of providing relevant technical standards, guidelines, and metrics.
Highlights of Our Work
- AWS Glue for fully managed extract, transform and load (ETL) to automate migration and integration
- Virtual Private Cloud (VPC) for secure and scalable hybrid cloud infrastructure for sensitive data
- Amazon Redshift data warehouse to manage, store and analyze large volumes of data
- Elastic Compute Cloud (EC2) for resizable compute capacity to quickly adapt as data grows
- Simple Storage Service (S3) to store data in a highly scalable, secure environment
Results to Date
- Increased flexibility to scale infrastructure and adapt to changing, growing data needs
- Streamlined data management and reduced potential for data loss
- Improved ability to deliver its core mission advancing technology and promoting innovation
- Resulted in more accurate data analysis and drove faster decision making
- Reduced overall IT infrastructure costs – resulting in cost savings to the agency