ARRAY partners with clients to design strategies that unlock data to solve complex and unique mission challenges and data solution objectives.
After understanding mission and data needs, we build solution alternatives on data best practices, subject matter experts and certified technology-based data resources. We provide ongoing education on how mission data is acquired, stored, processed, distributed and consumed – defining successful outcomes for these strategies.
Using an agile methodology approach, we use discovery and analysis to capture data requirements including data security classifications and types. We rapidly visualize our results and update the Sprint process based on customer feedback.
We help our clients envision data governance end-state requirements to effectively manage data at all levels – from acquisition to disposition. Our process includes providing principles, policies, processes, frameworks, tools, metrics, compliance and auditing.
Our team identifies, inventories and catalogs enterprise data assets so that we provide the details of the lineage and business glossary of terms.
Cloud Native & Open-Source
Using cloud native and Open-Source technologies, processes and procedures, we provide customers tailorable solutions with faster release cycles through automation.
Data & Analytics Management
Our team supports clients with Data & Analytic Services Management – creating custom reports and presentations with data visualization and storytelling. This includes presenting analytical conclusions across Data Wrangling, Data Science, Data Engineering, and Exploratory Data Analysis, Statistical Models, Machine Learning and Natural Language Processing and Exploratory Data Analysis.
As we show clients how to use a metadata or tagging strategy for identifying, defining and classifying data within industry areas, we empower consumers and technologists to manage the context as well as the content of data assets.
Data Migration as a Service & Data Mediation
We provide data engineering and data management for Relational Database Management Systems (RDBMS), Data Lakes, Data Warehouses, Batch, Online, Application Migrations and Upgrades, Secure Cloud Data Storage, Data Access, Microservices & API Lifecycles.
We help clients exploit their data fully to guide decision-making across all areas of the mission. This includes working with data stewards, data custodians and functional data managers to achieve accountability throughout the entire data lifecycle.
Achieve More Using
Enterprise Data Management.
We collaborate with clients to provide the data strategy, vision, framework and methodology that leverage and unlock mission data to drive insights that help achieve mission success.
Data Acquisition, Preparation & Architecture
Allows easy adoption of new tools and services
Minimizes impact to the underlying data
Data volume – hybrid micro services data implementation
Database-sensitive migration moves data, schema and objects
Optimized performance and reliability improvements for target architecture
Cloud and Open-Source Agnostic
AWS Infrastructure as Code
MS Azure Infrastructure as Code
Highly resilient and self-healing repeatable migration process
Source Code control – program control of features, enhancements, tagging, branching
Software Factory Approach for data – Agile SCRUM based tracking
State-of-the-art mathematical and machine learning/artificial intelligence techniques
Identifies physical, virtual, hypervisor, containers, lambda or other functions
Software, tools and applications related to developing an enterprise data service
Maximizes data sets with data preparation and modeling
Decouples compute and storage
Elasticity – Scale up Computational capacity with Automation
ModelOps AI and decision models lifecycle management