Data Management

Making data accessible, usable, accurate and secure

What We Do?

Citihub helps enterprises move to modern data architectures that deliver event-driven analytics at scale. We are experienced at data strategy, roadmap design, technology build, data migration and transition to operations. We help establish data governance using the right operating model for your enterprise, including data ownership, lineage, classification and controls to meet compliance, infosec and regulatory obligations.

Our solutions make data available, usable, accurate and secure to business users at the scale and sophistication that is right for them, whether they are dashboard users or data scientists.

Our Capabilities

Data strategy

Formulate and document the data architecture, data governance and data solutions that will deliver the enterprise vision for data. The data strategy must be supported by practical roadmaps with realistic objectives.

Meet the business demand for real-time speed and scale by designing, implementing and integrating best-of-breed modern data solutions.

Improve the quality, understanding and control of enterprise data by introducing core data management principles and tooling through a data-centric operating model.

Map and enrich your organizational data to enable data governance and support data analytics.

Ensure the operational processes around data classification, data quality, tagging, retention and disposal support the evolving regulatory requirements and needs of the organization.

Data strategy

Integrated modern data solutions

Data governance implementation

Metadata tooling adoption

Data operations risk assessment

Formulate and document the data architecture, data governance and data solutions that will deliver the enterprise vision for data. The data strategy must be supported by practical roadmaps with realistic objectives.

Meet the business demand for real-time speed and scale by designing, implementing and integrating best-of-breed modern data solutions.

Improve the quality, understanding and control of enterprise data by introducing core data management principles and tooling through a data-centric operating model.

Map and enrich your organizational data to enable data governance and support data analytics.

Ensure the operational processes around data classification, data quality, tagging, retention and disposal support the evolving regulatory requirements and needs of the organization.

Insights

Practical, industry-specific insights from our technologists

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Case Studies