Data assessment and inventory
Assessment of existing data assets, sources, quality, and governance practices to gain insights into the organization's data landscape and identify opportunities and challenges.
Data architecture and infrastructure
Design of a scalable and robust data architecture and infrastructure to support data storage, integration, processing, analysis, and visualization needs across the organization.
Strategic goal setting
Collaboration with key stakeholders to define clear and measurable strategic objectives and priorities for data management, analytics, and utilization aligned with the organization's business goals and priorities.
Data lifecycle management
Establishment of processes and guidelines for managing the entire data lifecycle, from data acquisition and ingestion to storage, processing, analysis, and archival or disposal, ensuring data is effectively managed and utilized throughout its lifecycle.
Governance framework
Analytics and insights roadmap
Development of policies, standards, and procedures for data governance, including data ownership, privacy, security, quality control, and compliance with regulatory requirements and industry standards.
Creation of a roadmap for implementing analytics capabilities, including data analytics tools, techniques, and methodologies, to derive actionable insights and drive informed decision-making across the organization.
