Description

Data Management

We provide data management services designed to develop, execute, and supervise plans, programs, and practices that produce high-quality data.  Supporting the data-lifecycle is essential in the production of data that is useful to an organization.  Generating value from high-quality data and information does not just happen.  Value creation is a deliberate practice that enhances data and information used in the operation of an organization.  In today’s information economy, creating, using, and curating data as an asset that increases value is increasingly vital.

• Database, data warehouse, and multidimensional cube services.
• Data cleansing processes, exploratory data analysis.
• Data modeling.
• Master Data Services.
• Data Security Solution development.

Data Visualizations

We provide data visualizations that turn data sets into meaningful information.   Organizations create data when something happens, ordering parts, generating invoices, or hiring employees.  The challenge for many organizations is to turn a collection of data sets into meaningful information. Well, designed data visualizations enhance insight into operations by allowing leadership to see beyond just the numbers.  We identify trends, patterns, and outliers that lie beyond traditional analysis and says something about the organization.  Information is essential in maintaining the structure and function of an organization.  Data visualizations provide meaningful information that produces knowledge about an organization.

• Python for Informatics, System R, Tableau, and Power BI, SPSS.
• Machine Learning, Regression Modeling, and Statistical Inferences.
• Workforce Analytics and Human Capital Key Performance Indicators.

Project Management

We provide IT-based project management services that create value in data and information products, services, or solutions.  When organizations invest in data and information projects, they commit time, money, and resources to data as an asset of the organization. Proper project management of data and information projects have a significant impact on the success of an organization.  Between 60% and 80% of the data analyst’s time is spent creating high-quality data sets.  Reducing the risk associated with these efforts enable the creation, use, curation of information that can enhance an organization’s relationship with customers, suppliers, and employees.

• Align Data Architecture Strategy with business unit objectives.
• Business Process Reengineering.
• Continuous Process Improvements to the data and information production lifecycle.

Enterprise Resource Management

We provide technical leadership and project management for enterprise systems, applications, and web-based services. Services include planning, implementation, and support of portals and management of Enterprise Resource and Planning (ERP) systems.  Also, we design, implement and manage enterprise data warehouse, multidimensional cube architectures used to measure and report key performance analytics, including business unit profitability and other success measurements.

• Enterprise Resource Planning (ERP) system selection, optimization, implementation programs.
• Development of operational policies, and procedures, and standards.
• Augment essential staff capabilities with support services designed to optimize project deliverables.

Information Quality Management

We provide data and information quality assessment services that assist leadership in the understanding of the cultural and technical barriers preventing the implementation of data quality management practices and to make recommendations on improving data management in complex environments. Understanding the impediments, and the enablers of data process improvement initiatives are vital to enhancing organizational performance.  Increasingly, high-performing organizations are making data‐informed decisions to resolve performance problems and to improve operations.  Improving operational outcomes requires high-quality data and information.

• Data Quality Improvement Programs
• Data and Information Governance.
• Data Quality Assessments.