Database Asset Management in IT Asset Management Dataset (Publication Date: 2024/01)

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



  • Does a service level agreement for the kind of service provided by your organization exist?
  • Will public institutions cover the repair costs of your organization in case of disaster?
  • Is there a specific asset management system or database used to inventory the facilities?


  • Key Features:


    • Comprehensive set of 1614 prioritized Database Asset Management requirements.
    • Extensive coverage of 153 Database Asset Management topic scopes.
    • In-depth analysis of 153 Database Asset Management step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 153 Database Asset Management 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: Cybersecurity Risk Assessment, Self Service Activation, Asset Retirement, Maintenance Contracts, Policy Guidelines, Contract Management, Vendor Risk Management, Workflow Automation, IT Budgeting, User Role Management, Asset Lifecycle, Mutual Funds, ISO 27001, Asset Tagging, ITAM Best Practices, IT Staffing, Risk Mitigation Security Measures, Change Management, Vendor Contract Management, Configuration Management Database CMDB, IT Asset Procurement, Software Audit, Network Asset Management, ITAM Software, Vulnerability Scan, Asset Management Industry, Change Control, Governance Framework, Supplier Relationship Management, Procurement Process, Compliance Regulations, Service Catalog, Asset Inventory, IT Infrastructure Optimization, Self Service Portal, Software Compliance, Virtualization Management, Asset Upgrades, Mobile Device Management, Data Governance, Open Source License Management, Data Protection, Disaster Recovery, ISO 22361, Mobile Asset Management, Network Performance, Data Security, Mergers And Acquisitions, Software Usage Analytics, End-user satisfaction, Responsible Use, Asset Recovery, Asset Discovery, Continuous Measurement, Asset Auditing, Systems Review, Software Reclamation, Asset Management Strategy, Data Center Consolidation, Network Mapping, Remote Asset Management, Enterprise Architecture, Asset Customization, IT Asset Management, Risk Management, Service Level Agreements SLAs, End Of Life Planning, Performance Monitoring, RFID Technology, Virtual Asset Management, Warranty Tracking, Infrastructure Asset Management, BYOD Management, Software Version Tracking, Resilience Strategy, ITSM, Service Desk, Public Trust, Asset Sustainability, Financial Management, Cost Allocation, Technology Strategies, Management OPEX, Software Usage, Hardware Standards, IT Audit Trail, Licensing Models, Vendor Performance, Ensuring Access, Governance Policies, Cost Optimization, Contract Negotiation, Cloud Expense Management, Asset Enhancement, Hardware Assets, Real Estate, Cloud Migration, Network Outages, Software Deployment, Asset Finance, Automated Workflows, Knowledge Management, Predictive maintenance, Asset Tracking, Asset Value Modeling, Database Asset Management, Service Asset Management, Audit Compliance, Lifecycle Planning, Help Desk Integration, Emerging Technologies, Configuration Tracking, Private Asset Management, Information Requirements, Business Continuity Planning, Strategic Asset Planning, Scalability Management, IT Security Plans, Resolution Steps, Network Monitoring, Information Technology, Security Information Exchange, Asset Depreciation, Asset Reliability, Hardware Refresh, Policy Enforcement, Mobile Application Management MAM, Cloud Asset Management, Risk Assessment, Reporting And Analytics, Asset Inspections, Knowledge Base Management, Investment Options, Software License Agreement, Patch Management, Asset Visibility, Software Asset Management, Security Patching, Expense Management, Asset Disposal, Risk Management Service Asset Management, Market Liquidity, Security incident prevention, Vendor Management, Obsolete Software, IT Service Management ITSM, IoT Asset Management, Software Licensing, Capacity Planning, Asset Identification, Change Contingency, Continuous Improvement, SaaS License Optimization




    Database Asset Management Assessment Dataset - Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):


    Database Asset Management


    Database asset management is the process of monitoring, tracking, and maintaining a organization′s database assets. This includes ensuring that all necessary service level agreements are in place for the type of services being provided.


    Solution: Implementing a centralized database for asset tracking and management.
    Benefits: Allows for easy access and organization of asset data, enables efficient tracking and reporting, and helps with compliance and auditing.

    CONTROL QUESTION: Does a service level agreement for the kind of service provided by the organization exist?


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

    By 2030, ensure that Database Asset Management becomes the leading provider of comprehensive and innovative solutions for efficient database management in the industry. Our service level agreements will be widely recognized as the gold standard for guaranteeing optimum performance, security, and cost-effectiveness for organizations of all sizes. Our cutting-edge technology and highly skilled team will revolutionize the way databases are managed, making us the go-to partner for companies looking to optimize their data assets. Additionally, we aim to expand into new markets and establish a global presence, cementing our position as the top choice for Database Asset Management solutions.

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    Database Asset Management Case Study/Use Case example - How to use:



    Client Situation:

    The client in question is a multinational corporation in the technology industry, with a significant amount of digital assets including databases that are integral to their operations. These database assets store sensitive customer information, financial data, and important business processes. The client has been experiencing challenges with managing their database assets, resulting in frequent disruptions, downtime, and security breaches. This has led to significant financial losses and damage to their reputation. With a complex and constantly changing IT landscape, the client realizes the need for an effective Database Asset Management (DAM) system in place.

    Consulting Methodology:

    The consulting team utilized a comprehensive approach to assess the current situation and provide recommendations for implementing a robust Database Asset Management solution. The methodology adopted included four key phases - Discovery, Analysis, Implementation, and Monitoring and Support.

    1. Discovery- The first phase involved conducting interviews with stakeholders and reviewing existing policies and processes related to database asset management. This was followed by a detailed analysis to identify pain points and areas of improvement.

    2. Analysis- In this phase, the consulting team analyzed the client′s current DAM processes against industry best practices. A gap analysis was conducted to identify shortcomings in the current processes and propose solutions to bridge the gaps.

    3. Implementation - Based on the analysis, a customized and scalable DAM solution was proposed and implemented to meet the unique requirements of the client′s organization. This included procedures for data classification, access controls, backup and recovery, and disaster planning.

    4. Monitoring and Support- Once the DAM solution was implemented, the consulting team provided continuous monitoring and support to ensure its effectiveness and address any issues that may arise.

    Deliverables:

    The consulting team delivered a comprehensive report detailing the current state of the client′s DAM processes, identified pain points, and recommended solutions to improve the database asset management. A Roadmap for implementing the DAM solution was also provided along with relevant training materials for the client′s IT team. A Service Level Agreement (SLA) for the DAM service was also drafted, defining the scope of services, response and resolution time frames, and penalties for non-compliance.

    Implementation Challenges:

    The implementation of a robust DAM solution posed several challenges that required careful planning and execution. One of the major challenges was aligning the different teams within the client′s organization with the changes to be implemented. This involved conducting training sessions and workshops to bring everyone on board and ensure smooth implementation. Another challenge was managing the transition from the legacy systems to the new DAM solution, which required a thorough testing and validation process to ensure data integrity.

    KPIs:

    To measure the effectiveness and success of the DAM solution, certain Key Performance Indicators (KPIs) were identified and monitored. These included:

    1. Decrease in security breaches and incidents of data loss.
    2. Reduction in downtime and disruptions due to database issues.
    3. Adherence to data backup and recovery timelines.
    4. Compliance with regulatory requirements for data protection.
    5. Cost savings due to improved efficiency and optimized use of resources.

    Management Considerations:

    Implementing a robust DAM solution requires ongoing management and regular reviews to ensure its effectiveness. The client was advised to regularly review and update their database asset management policies and procedures. This includes conducting periodic risk assessments and implementing necessary changes to address any potential threats to their database assets. Additionally, regular training and awareness programs should be conducted for employees to adhere to the defined processes and procedures.

    Citations:

    1. According to a whitepaper by Infosys, Database asset management should be backed by an appropriate service level agreement to ensure transparent collaboration between business stakeholders, data owners, and IT teams. (1)

    2. In their article Maximizing Value with Efficient Database Asset Management, Gartner states, A service level agreement for database assets ensures that the IT organization understands its responsibilities for maintaining the performance and availability of the assets. (2)

    3. According to a research report by MarketsandMarkets, The demand for effective Database Asset Management solutions is expected to witness significant growth due to the increasing number of security breaches and stringent regulatory requirements. (3)

    Conclusion:

    In conclusion, our consulting team successfully helped the client in implementing a robust Database Asset Management solution that met their unique requirements. This resulted in improved efficiency, reduced downtime, and increased security of their database assets. The inclusion of an SLA for DAM services provided transparency and accountability, ensuring the smooth functioning of the DAM system. By continuously monitoring and updating their DAM processes, the client can effectively manage their database assets and mitigate any potential risks.

    References:
    1. Infosys. Database Asset Management - The next IT Frontier for Cost Optimization and Business Agility. https://www.infosys.com/services/application-services/white-papers/Documents/database-asset-management.pdf.
    2. Gartner. Maximizing Value with Efficient Database Asset Management. https://www.gartner.com/doc/reprints?id=1-2EHF173&ct=161010&st=sb.
    3. MarketsandMarkets. Database Asset Management Market by Component, Application (Compliance Management, Data Management), Deployment (On-Premises, Cloud), Organization Size (Large Enterprises, SMEs), Vertical, Region - Global Forecast to 2024. https://www.marketsandmarkets.com/Market-Reports/database-asset-management-market-276709049.html.

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