Data Management
Data management services develop, execute, and supervise plans, programs, and practices that produce high-quality data. Supporting the data lifecycle is essential in creating valuable data for 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. Creating, using, and curating data as assets that increase value in today's information economy 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.
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Data Science & Analytics
Data science and analytics turn data 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 actionable knowledge. Well-designed data analysis enhances insight into operations by allowing leadership to see beyond just the numbers. Identifying trends, patterns, and outliers beyond traditional analysis say something about the organization. Information is essential in maintaining the structure and function of an organization. Data science and analytics provide meaningful information that produces knowledge about what it means to be an effective organization.
- Machine Learning, Regression Modeling, and Statistical Inferences.
- Workforce Analytics and Human Capital Key Performance Indicators.
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Project Management
IT-based project management services 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. Proper project management of data and information projects has 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 enables the creation, use, and curating of information to 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.
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Enterprise Resource Management
Technical leadership and project management for enterprise systems, applications, and web-based services. Services include planning, implementing, supporting portals, and managing Enterprise Resource and Planning (ERP) systems. Also, implementing and managing enterprise data warehouses, data lakes, and multidimensional cube architectures facilitate measuring and reporting key performance indicators, including business unit profitability and other success measurements.
- Enterprise Resource Planning (ERP) system selection, optimization, and implementation programs.
- Development of operational policies, procedures, and standards.
- Augment essential staff capabilities with support services designed to optimize project deliverables.
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Information Quality Management
Data and information quality assessments help leaders understand the cultural and technical barriers preventing the implementation of data quality management practices and make recommendations on improving data management in complex environments. Understanding the impediments and the enablers of data process improvement initiatives is vital to enhancing organizational performance. Increasingly, high-performing organizations are making data‐informed decisions to resolve performance problems and improve operations. Improving operational outcomes requires high-quality data and information.
- Data Quality Improvement Programs
- Data and Information Governance.
- Data Quality Assessments.
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Next Steps...
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