Data Management and
Data Analytics

ExpediteInfoTech specializes in employing a range of techniques including data mining, machine learning, statistics, and big data analytics to analyze complex data sets and uncover meaningful patterns, trends, and predictions. With our expertise, we empower organizations to make informed decisions and drive actionable outcomes based on data-driven insights.

Data Management and Data Analytics

Data Governance and Policies

Data Architecture

Business Intelligence Solutions

Data Integration and Data Modeling

AI-Driven Data Audits and ML Predictive and Prescriptive Analytics

Statistical Analysis

Data Management and Data Analytics Capabilities

At ExpediteInfoTech, our data management and analytics team possess extensive expertise in delivering comprehensive solutions for Master Data Management (MDM) strategies within the MDM framework. Our services encompass Cross-Domain infrastructure and security, as well as Multi-Domain architectural design and configuration, along with Development, Testing, Deployment, and Operations & Maintenance support.

For every client, we create a unique and comprehensive approach to data management to ensure secure and efficient management throughout the data lifecycle, from acquisition to storage and usage.  We design clients’ data architecture to meet current and future data requirements and organizational objectives. We prioritize data quality and work to proactively identify and address anomalies, to ensure the integrity and reliability of all data. ExpediteInfoTech uses industry-leading technologies such as RDBMS, Amazon Gov Cloud-Red Shift, S3, AWS DMS, and Tableau to analyze and manage data.

ExpediteInfoTech provides advanced Business Intelligence (BI) solutions and services, driven by expert data analysis. Our comprehensive approach leverages deep expertise in business and statistical analysis to deliver actionable insights, empowering organizations to make informed, data-driven decisions. We leverage a range of top-tier technologies, including Tableau, Oracle OBIEE, Microsoft Power BI, and Google Analytics, to drive impactful business decisions.

All data is handled with the utmost care, following industry-standard security protocols and ensuring compliance with relevant regulations.

Data Management and Data Analytics Customer Success Stories

ExpediteInfoTech supported the International Finance Corporation (DFC) data management capabilities in line with the agency’s wider objectives. Our team helped plan out the future state of their data management environment, ensuring the environment reflects DFC’s forward-looking data architecture vision. Our team supported the integration of data from previously isolated systems that enabled the development of advanced Business Intelligence (BI) dashboards and analytical tools that significantly improved stakeholders’ decision-making capabilities. We also helped develop and implement policies and procedures to govern the collection, usage, and preservation of data, ensuring compliance with the highest standards of data management and governance, in line with changing Federal data management laws and regulations.

At the Centers for Medicare and Medicaid Services (CMS), ExpediteInfoTech used advanced modeling techniques to offer comprehensive data analysis services, including predictive modeling, regression analysis, and data optimization. Our team used the insights from the data analysis as a strategic asset to guide CMS’s decision-making processes. We collected relevant datasets, prioritizing data accuracy, completeness, and consistency. We generated detailed reports enriched with visualizations to present clear and actionable insights, enabling informed decision-making for stakeholders.

Data Management and Data Analytics Customers

ExpediteInfoTech has helped transform Data Management and Data Analytics for the following customers:

National Institutes of Health (NIH)

Centers for Medicare and Medicaid Services (CMS)

United States Department of Agriculture (USDA)

International Finance Corporation (DFC)

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