VMG's data management and analytics team has the deep industry and technical expertise necessary to transform massive quantities of ‘big data’ into actionable insights, drive operational excellence, and inform decision making. We provide end-to-end services, including management, collection, cleaning, analysis, visualization, and reporting.
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Create and implement data governance frameworks using best practices. Facilitate collecting, maintaining, and using information securely, efficiently, and cost- effectively to get the most out of data.
Take a systematic approach to gathering data from multiple sources (e.g., large datasets, surveys, focus groups) to accurately assess a problem or opportunity. Use data to answer relevant questions, evaluate outcomes, and predict future probabilities and trends.
Create a quality data culture by repairing or removing incorrect, corrupted, improperly formatted, duplicate, or incomplete data within a dataset. Prepare data to ensure correct outcomes.
Apply statistical and logical techniques to describe, illustrate, condense, recap, and evaluate data. Examine raw data to find trends and answer questions. Use quantitative and qualitative methods and business intelligence tools to give context to the data through our interpretation services.
Promote greater understanding and insight by depicting information clearly and thoughtfully, using charts, graphs, diagrams, pictures, and infographics. Provide accessible ways to see and understand trends, outliers, and patterns in data. Create dashboards to track project progress. Write reports that explain insights for technical and non-technical audiences.
Offer rapid development of Public Health, Business Intelligence, and ad hoc reporting products to facilitate the fast and accurate delivery of analysis for internal client use, as well as distribution to the public.
Our data analytics team is led by Dan Kagwisa, a data engineer and analyst with over 25 years of experience in designing and executing solutions for complex business problems involving large-scale data warehousing, decision-driving analytics, and reporting solutions.
Mr. Kagwisa is a seasoned data engineer with extensive experience in creating intuitive architecture to help organizations effectively analyze and process large amounts of structured and unstructured data.
Mr. Kagwisa has proven experience working in both the government and public sectors, applying a methodical and logical approach to assessing data quality, preparing data for analysis, and analyzing and interpreting data to support decision makers. He has provided systems support, strategic performance management, data and statistical analysis, and modeling at the CDC for OSH, HRO, OAS, and OFR.
Through Veritas Management Group, Mr. Kagwisa applies his expertise and knowledge to implement industry standard data management principles and to guide the development of data governance strategies. He also creates tools and applications to ensure that data are accessible, secure, and available for generating actionable insights to support customer missions and goals.