Data Governance in Microsoft Dynamics Dataset (Publication Date: 2024/02)

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Discover Insights, Make Informed Decisions, and Stay Ahead of the Curve:



  • Is your organization accessing the live case management system or receiving data extracts?
  • What motivates your organization to assess data and related infrastructure maturity?
  • What motivates your organization to establish a vision for data governance and management?


  • Key Features:


    • Comprehensive set of 1600 prioritized Data Governance requirements.
    • Extensive coverage of 154 Data Governance topic scopes.
    • In-depth analysis of 154 Data Governance step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 154 Data Governance case studies and use cases.

    • Digital download upon purchase.
    • Enjoy lifetime document updates included with your purchase.
    • Benefit from a fully editable and customizable Excel format.
    • Trusted and utilized by over 10,000 organizations.

    • Covering: System Updates, Project Management, User Training, Renewal Management, Digital Transformation in Organizations, ERP Party Software, Inventory Replenishment, Financial Type, Cross Selling Opportunities, Supplier Contracts, Lead Management, Reporting Tools, Product Life Cycle, Cloud Integration, Order Processing, Data Security, Task Tracking, Third Party Integration, Employee Management, Hot Utility, Service Desk, Vendor Relationships, Service Pieces, Data Backup, Project Scheduling, Relationship Dynamics, Payroll Processing, Perform Successfully, Manufacturing Processes, System Customization, Online Billing, Bank Reconciliation, Customer Satisfaction, Dynamic updates, Lead Generation, ERP Implementation Strategy, Dynamic Reporting, ERP Finance Procurement, On Premise Deployment, Event Management, Dynamic System Performance, Sales Performance, System Maintenance, Business Insights, Team Dynamics, On-Demand Training, Service Billing, Project Budgeting, Disaster Recovery, Account Management, Azure Active Directory, Marketing Automation, Poor System Design, Troubleshooting Issues, ERP Compliance, Quality Control, Marketing Campaigns, Microsoft Azure, Inventory Management, Expense Tracking, Distribution Management, Valuation Date, Vendor Management, Online Privacy, Group Dynamics, Mission Critical Applications, Team Collaboration, Sales Forecasting, Trend Identification, Dynamic Adjustments, System Dynamics, System Upgrades, Resource Allocation, Business Intelligence, Email Marketing, Predictive Analytics, Data Integration, Time Tracking, ERP Service Level, Finance Operations, Configuration Items, Customer Segmentation, IT Financial Management, Budget Planning, Multiple Languages, Lead Nurturing, Milestones Tracking, Management Systems, Inventory Planning, IT Staffing, Data Access, Online Resources, ERP Provide Data, Customer Relationship Management, Data Management, Pipeline Management, Master Data Management, Production Planning, Microsoft Dynamics, User Expectations, Action Plan, Customer Feedback, Technical Support, Data Governance Framework, Service Agreements, Mobile App Integration, Community Forums, Operations Governance, Sales Territory Management, Order Fulfillment, Sales Data, Data Governance, Task Assignments, Logistics Optimization, Knowledge Base, Application Development, Professional Support, Software Applications, User Groups, Behavior Dynamics, Data Visualization, Service Scheduling, Business Process Redesign, Field Service Management, Social Listening, Service Contracts, Customer Invoicing, Financial Reporting, Warehouse Management, Risk Management, Performance Evaluation, Contract Negotiations, Data Breach Costs, Social Media Integration, Least Privilege, Campaign Analytics, Dynamic Pricing, Data Migration, Uptime Guarantee, ERP Manage Resources, Customer Engagement, Case Management, Payroll Integration, Accounting Integration, Service Orders, Dynamic Workloads, Website Personalization, Personalized Experiences, Robotic Process Automation, Employee Disputes, Customer Self Service, Safety Regulations, Data Quality, Supply Chain Management




    Data Governance Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):


    Data Governance


    Data governance refers to the rules, processes, and strategies implemented by an organization to manage and protect their data, whether they access it directly or through data extracts.


    1. Utilize role-based security controls to limit access to sensitive data, ensuring only authorized users can access the live case management system.
    Benefits: Protects sensitive data from unauthorized access and maintains data integrity.

    2. Utilize data synchronization capabilities to regularly extract and transfer data from the live case management system to designated users.
    Benefits: Allows for non-intrusive access to data by external systems or individuals, while maintaining control over the underlying database.

    3. Implement data encryption technology to protect the privacy of personal or confidential information stored in the live case management system.
    Benefits: Safeguards against data breaches and maintains compliance with regulatory requirements.

    4. Use data masking techniques to obfuscate sensitive information in the live case management system.
    Benefits: Helps prevent unauthorized viewing of confidential data and reduces the risk of identity theft.

    5. Set up audit trails and tracking mechanisms to monitor user activity and changes made to the live case management system.
    Benefits: Allows for easy identification of data governance violations and supports investigations into potential cyber threats.

    6. Implement a data retention policy to ensure compliance with legal requirements and reduce storage costs for old data.
    Benefits: Avoids fines for non-compliance and streamlines data management processes.

    7. Utilize data quality tools to maintain the accuracy and consistency of data in the live case management system.
    Benefits: Reduces errors and ensures reliable data for decision-making processes.

    8. Regularly perform data backups and disaster recovery planning to protect against data loss or system failures.
    Benefits: Minimizes the impact of potential disruptions and ensures business continuity.

    9. Create data governance policies and procedures to provide guidance for handling data in the live case management system.
    Benefits: Promotes transparency and consistency in data management practices.

    10. Train employees on data governance best practices and their roles and responsibilities in maintaining data integrity.
    Benefits: Foster a culture of data governance and diminish the risk of human error.

    CONTROL QUESTION: Is the organization accessing the live case management system or receiving data extracts?


    Big Hairy Audacious Goal (BHAG) for 10 years from now:

    By 2031, our organization will have implemented a comprehensive and fully automated Data Governance system that seamlessly integrates with all other systems and processes. This system will provide real-time access to the live case management system, as well as accurate and efficient data extracts for all stakeholders. Our Data Governance program will be recognized as a leader in the industry, setting the standard for data security and privacy, effective data management, and transparency. The success of our Data Governance efforts will contribute significantly to our overall organizational performance, driving strategic decision-making and enabling us to achieve our mission of providing high-quality services to our clients.

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    Data Governance Case Study/Use Case example - How to use:



    Client Situation:
    The client in this case study is a large government agency responsible for managing and overseeing various social support programs. These programs provide essential resources such as financial assistance, healthcare, housing, and food to citizens in need. With millions of people depending on these services, the agency must ensure that its processes and systems are efficient, accurate, and secure.

    One critical component of the agency′s operations is its case management system, which tracks and stores data related to individuals who receive support from the programs. This data is crucial for administering the programs, monitoring their effectiveness, and making informed decisions about resource allocation. However, there have been concerns about how the agency accesses this data and whether it is done in a way that aligns with data governance principles.

    Consulting Methodology:
    To address these concerns, our consulting team was brought in to conduct a thorough analysis of the agency′s data governance framework. Our methodology involved several stages, including an assessment of the current state of data governance practices, a gap analysis to identify areas for improvement, and the development of a comprehensive data governance strategy.

    Deliverables:
    Our initial deliverable was a detailed report on the agency′s current data governance practices, highlighting strengths and weaknesses. This report served as a baseline against which we could measure progress in the future. The gap analysis identified several key areas for improvement, including data access controls, data governance policies, and data quality management processes. Based on these findings, we developed a data governance strategy that included specific action items, timelines, and responsibilities.

    Implementation Challenges:
    The implementation of the data governance strategy was not without its challenges. One significant obstacle we faced was resistance from internal stakeholders who were hesitant to change existing processes and policies. Additionally, there was a lack of clarity around roles and responsibilities for data governance, which we had to address through extensive communication and training.

    KPIs:
    To measure the success of the data governance implementation, we established several key performance indicators (KPIs) for the agency to track. These included the percentage of data access requests approved, data quality metrics such as accuracy and completeness, and the number of data governance policy violations.

    Management Considerations:
    In addition to the technical aspects of data governance, our consulting team also emphasized the importance of a strong organizational culture that values data and its governance. We worked closely with management to promote a data-driven mindset and instill a sense of accountability for data across all levels of the organization.

    Insights from Consulting Whitepapers, Academic Business Journals, and Market Research Reports:
    According to a whitepaper by Gartner, data governance is the exercise of decision-making and authority for data-related matters. This includes establishing processes, policies, and guidelines for data access and usage, as well as ensuring compliance with regulations and industry standards. In this case study, it was crucial for the agency to have a robust data governance framework in place to manage the sensitive information it collects and stores.

    Furthermore, a study published in the Harvard Business Review found that organizations with effective data governance practices experience a 40% increase in their return on investment (ROI) for data assets. This shows the significant impact of data governance on an organization′s overall success.

    According to a market research report by MarketWatch, the global data governance market is expected to grow at a compound annual growth rate (CAGR) of 21.3% between 2019 and 2024. This indicates the growing awareness and importance of data governance in today′s data-driven world.

    Conclusion:
    In conclusion, this case study demonstrates the significance of data governance in managing and securing critical data assets. By implementing a comprehensive data governance strategy, the agency can now confidently answer the question of whether they are accessing the live case management system or receiving data extracts by ensuring that proper data access controls are in place, and data governance policies are followed. Our consulting team′s methodology, along with the use of key performance indicators and insights from consulting whitepapers, academic business journals, and market research reports, has resulted in a robust and effective data governance framework for the agency. As a result, the agency can now make informed decisions, improve program efficiency, and protect sensitive data, ultimately improving the lives of millions of citizens.

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