Data Architecture and Governance journey

Why – Data is the most valuable asset of any organization in the digital age. It enables innovation, efficiency, and competitive advantage. However, data alone is not enough. Data needs to be reliable, consistent, secure, and accessible to all who need it. Data governance ensures that data meets these criteria and supports the organization’s goals. Data architecture defines how data is structured, stored, processed, and delivered across the organization’s systems and applications.

What – Our data and governance journey involves establishing and implementing a set of principles, policies, standards, and practices that ensure the quality, security, accessibility, and usability of data in your organization.

Business Challenges: • Complicated data management and ownership • Data stored in silos • Inconsistent data terminology, hierarchies or master data • Lack of data privacy and security measures • Hard to cope with compliance requirements

Value Delivered: • Enhanced decision making • Cost reduction • Improved customer satisfaction • Regulatory compliance • Increased productivity

How we do it: • Digital transformation Data Scan • Data Discovery workshop • Data Platform – Architecture assessment • Data classification • Data model analysis • Data quality assessments • Data security assessment • Data governance framework • Power BI Governance

How – During a typical data and governance journey, we follow these steps: • Discover: Find out and understand the data being governed, such as its sources, types, formats, quality, lineage, usage patterns, etc. • Define: Record all data definitions, processes, policies, and standards; assign ownership and define the key metrics for each data domain or business use case. • Apply: Implement the business rules and data governance policies across the organization’s systems and applications. • Monitor: Track and measure the performance and impact of the data governance program using various tools and metrics. • Improve: Continuously review and update the data governance program based on feedback from stakeholders, changes in business needs or environment, or new technologies or innovations.

Outcome – Our data and governance journey will help your organization to create value from your data assets by enabling better decision making based on accurate, reliable, and timely information. Reducing costs associated with poor-quality, inconsistent, or inaccessible data, while enhancing customer satisfaction by delivering personalized and relevant products or services, increasing regulatory compliance by adhering to industry standards and best practices for data protection and privacy, and higher employee productivity by freeing up time from non-value-added tasks related to data management.

Related Consulting services • Digital transformation Data Scan • Data Discovery workshop • Data Platform – Architecture assessment • Data quality assessments • Data security assessment • Data governance framework • Power BI Governance • Data Platform architecture workshop • Data & Infrastructure Assessment • Digital Transformation (DX) value mapping • Data warehouse – data model analysis

Associated technologies • Microsoft Purview • Cloud Adoption Framework • AvePoint • Microsoft Information Protection • Azure Policy • Azure Monitor