Data Strategy and Analysis

Data Analytics and Business Intelligence. Understand what your complex data means and use that data to make better business decisions. Focus areas include:

• Analytics framework development and data analysis.
• Business intelligence.
• Data analytics.
• Data engineering.
• Gap analysis.
• Industry trend analysis.
• Surveys.
• Use case gathering.
• Visualization and dashboard development.

Data Governance. Mitigate risk and improve your ability to manage your organization’s data asset storage, access, and retention. Focus areas include:

• Current-state assessment.
• Data governance roadmap.
• Maturity assessment.
• Needs assessment.
• Policies and procedures.
• Stakeholder management.

Data Quality, Evaluation, and Improvement. Assess, quantify, and improve your organization’s data quality to enable better-informed decisions. Focus areas include:

• Data quality assessment.
• Data quality improvement recommendations and plan.
• Data quality reporting.
• Policies and procedures assessment.

Data Strategy. Align your data management activities with your business goals and better understand how data can be used across your organization. Focus areas include:

• Business strategy.
• Data governance
• Executive data insights.
• Technology analysis.

Master Data Management (MDM). Make sure your organization’s shared data (master data) is accurate, consistent, organized, and centralized. Focus areas include:

• Data evaluation and stewardship.
• MDM algorithm.
• MDM vendor evaluation.
• Requirements gathering.
• Source data current-state assessment.
• Source system data profiling.
• System testing.
• Use case gathering.