Data Governance Consulting

Data Governance Strategy

We develop comprehensive data governance strategies and frameworks that aligns with clients' business goals and objectives, including policies; procedures; and standards for data collection, storage, analysis, and use.

MDM & Data Quality Management

Can you trust your data? Data governance and master data management (MDM) go hand-in-hand with MDM technology enforcing governance rules to ensure your data is accurate, complete, and consistent.

Training and Support

A strategy doesn't do any good if it only lives on paper. Adoption and adherence is critical to success. We provide training, support, workshops, and coaching to help users understand and comply with governance standards.

Organizational Level:

At an organizational level, our change management efforts assess and understand your:

• Current cultural attributes, which may provide support for or be an impediment to the change ​

• Prioritization of change initiatives to monitor change fatigue and saturation and build agility ​

• Shared vision and strategic intent for change

• New or modified business processes, systems, policies, behaviors, rewards, performance indicators, and procedures

• Structure and individual roles needed to support and reinforce the change effort

Individual Level:

At an individual level, our change management efforts address and manage individuals':

• Unique perspectives, biases, motivations, behaviors, mindset, resistance, and reactions to increase acceptance and commitment in a more productive and resilient way ​

• Willingness, ability, knowledge, skills, and time capacity necessary to transition to the future state

• Sponsorship and active leadership needs to ensure successful change and coach an individual through personal transition

Eliminates Error:

IA systems can greatly reduce errors both by automating tasks that are prone to human mistakes and by automating the verification and validation of inputs.

Data Consistency:

IA can ensure data and business processes are processed and handled the same way every time, resulting in consistency and accuracy.

Data Integrity:

IA helps maintain data accuracy and reliability by acting as a control for unauthorized changes and duplicated or conflicting information and by monitoring for anomalies.

Data Transparency:

IA provides better visibility into data trends and patterns. It can provide unparalleled insight, context, and real-time reporting of essential information.