Our data analytics and management strategy addresses our clients’ data management requirements across the entire enterprise and provides a uniform data model and framework for creating insightful analytics.
PERSONALIZED DATA AND THE POWER OF VALUE
Why you should invest in gaining better insights by taking a personalized approach to big data
MetroStar provides data fusion, data analytics, and data visualization solutions for Department of Justice, International Law Enforcement and Intelligence Community, and Department of Defense mission systems.
Business Intelligence comes from a variety of sources. Your organization may already have much of this information stored in Excel Files, reports, presentations, and process documentation across the enterprise. We create data models and warehousing that combines these stores to allow real-time data based decisions.
MetroStar’s big data solutions provide faster and simpler solutions for decision management, data visualizations, data consolidation, and data transformation. Through our partnerships with AWS, Azure, Google, and Zoomph we have created predictive analytics tools to guide front-line decisions and interactions.
CLOUD OPERATIONS & MAINTENANCE
Our “data hygiene” approach meets specific needs for data auditing and cleansing to improve the overall quality and speed of your enterprise data warehouse.
Data hygiene replaces the extensive custom coding or manual reconciliation of data. Our approach includes advancements, processes, tools, and algorithms that ultimately reduce storage space, increase process speed, and improve quality across various mission critical systems including CRM and case management systems.
INDUSTRY BEST PRACTICES
MetroStar’s commitment to quality management ensures consistent, high-quality, and disciplined delivery. This delivery is based on industry recognized, enterprise-wide standards of excellence from the CMMI Institute and the International Organization for Standardization.
Contact us to learn more about our work with big data and analytics: