Data management in Public Cloud Disaster Recovery Toolkit (Publication Date: 2024/02)


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

  • Does your organization have a preference on the use of a specific public cloud provider?
  • Have roles and responsible of different stakeholders involved in data management been defined?
  • Key Features:

    • Comprehensive set of 1589 prioritized Data management requirements.
    • Extensive coverage of 230 Data management topic scopes.
    • In-depth analysis of 230 Data management step-by-step solutions, benefits, BHAGs.
    • Detailed examination of 230 Data 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: Cloud Governance, Hybrid Environments, Data Center Connectivity, Vendor Relationship Management, Managed Databases, Hybrid Environment, Storage Virtualization, Network Performance Monitoring, Data Protection Authorities, Cost Visibility, Application Development, Disaster Recovery, IT Systems, Backup Service, Immutable Data, Cloud Workloads, DevOps Integration, Legacy Software, IT Operation Controls, Government Revenue, Data Recovery, Application Hosting, Hybrid Cloud, Field Management Software, Automatic Failover, Big Data, Data Protection, Real Time Monitoring, Regulatory Frameworks, Data Governance Framework, Network Security, Data Ownership, Public Records Access, User Provisioning, Identity Management, Cloud Based Delivery, Managed Services, Database Indexing, Backup To The Cloud, Network Transformation, Backup Locations, Disaster Recovery Team, Detailed Strategies, Cloud Compliance Auditing, High Availability, Server Migration, Multi Cloud Strategy, Application Portability, Predictive Analytics, Pricing Complexity, Modern Strategy, Critical Applications, Public Cloud, Data Integration Architecture, Multi Cloud Management, Multi Cloud Strategies, Order Visibility, Management Systems, Web Meetings, Identity Verification, ERP Implementation Projects, Cloud Monitoring Tools, Recovery Procedures, Product Recommendations, Application Migration, Data Integration, Virtualization Strategy, Regulatory Impact, Public Records Management, IaaS, Market Researchers, Continuous Improvement, Cloud Development, Offsite Storage, Single Sign On, Infrastructure Cost Management, Skill Development, ERP Delivery Models, Risk Practices, Security Management, Cloud Storage Solutions, VPC Subnets, Cloud Analytics, Transparency Requirements, Database Monitoring, Legacy Systems, Server Provisioning, Application Performance Monitoring, Application Containers, Dynamic Components, Vetting, Data Warehousing, Cloud Native Applications, Capacity Provisioning, Automated Deployments, Team Motivation, Multi Instance Deployment, FISMA, ERP Business Requirements, Data Analytics, Content Delivery Network, Data Archiving, Procurement Budgeting, Cloud Containerization, Data Replication, Network Resilience, Cloud Security Services, Hyperscale Public, Criminal Justice, ERP Project Level, Resource Optimization, Application Services, Cloud Automation, Geographical Redundancy, Automated Workflows, Continuous Delivery, Data Visualization, Identity And Access Management, Organizational Identity, Branch Connectivity, Backup And Recovery, ERP Provide Data, Cloud Optimization, Cybersecurity Risks, Production Challenges, Privacy Regulations, Partner Communications, NoSQL Databases, Service Catalog, Cloud User Management, Cloud Based Backup, Data management, Auto Scaling, Infrastructure Provisioning, Meta Tags, Technology Adoption, Performance Testing, ERP Environment, Hybrid Cloud Disaster Recovery, Public Trust, Intellectual Property Protection, Analytics As Service, Identify Patterns, Network Administration, DevOps, Data Security, Resource Deployment, Operational Excellence, Cloud Assets, Infrastructure Efficiency, IT Environment, Vendor Trust, Storage Management, API Management, Image Recognition, Load Balancing, Application Management, Infrastructure Monitoring, Licensing Management, Storage Issues, Cloud Migration Services, Protection Policy, Data Encryption, Cloud Native Development, Data Breaches, Cloud Backup Solutions, Virtual Machine Management, Desktop Virtualization, Government Solutions, Automated Backups, Firewall Protection, Cybersecurity Controls, Team Challenges, Data Ingestion, Multiple Service Providers, Cloud Center of Excellence, Information Requirements, IT Service Resilience, Serverless Computing, Software Defined Networking, Responsive Platforms, Change Management Model, ERP Software Implementation, Resource Orchestration, Cloud Deployment, Data Tagging, System Administration, On Demand Infrastructure, Service Offers, Practice Agility, Cost Management, Network Hardening, Decision Support Tools, Migration Planning, Service Level Agreements, Database Management, Network Devices, Capacity Management, Cloud Network Architecture, Data Classification, Cost Analysis, Event Driven Architecture, Traffic Shaping, Artificial Intelligence, Virtualized Applications, Supplier Continuous Improvement, Capacity Planning, Asset Management, Transparency Standards, Data Architecture, Moving Services, Cloud Resource Management, Data Storage, Managing Capacity, Infrastructure Automation, Cloud Computing, IT Staffing, Platform Scalability, ERP Service Level, New Development, Digital Transformation in Organizations, Consumer Protection, ITSM, Backup Schedules, On-Premises to Cloud Migration, Supplier Management, Public Cloud Integration, Multi Tenant Architecture, ERP Business Processes, Cloud Financial Management

    Data management Assessment Disaster Recovery Toolkit – Utilization, Solutions, Advantages, BHAG (Big Hairy Audacious Goal):

    Data management

    Data management refers to the processes and techniques used to organize, store, secure, and retrieve data. It is important for an organization to determine if they have a preferred public cloud provider for their data storage needs.

    1. Multi-cloud approach: Organizations can use multiple public cloud providers to take advantage of each provider′s unique offerings and avoid vendor lock-in.

    2. Centralized management tools: Public cloud providers offer tools such as dashboards and APIs that allow organizations to centrally manage their data across providers.

    3. Automated data backup and recovery: Many public cloud providers offer built-in data backup and recovery services, reducing the need for manual data management processes.

    4. Data encryption: Public cloud providers often offer encryption capabilities to secure sensitive data and meet compliance requirements.

    5. Scalable storage: Public cloud providers offer scalable storage options, allowing organizations to easily adjust their storage capacity as needed without incurring additional costs.

    6. Built-in analytics: Some public cloud providers offer built-in data analytics services, allowing organizations to gain valuable insights from their data without using separate tools.

    7. Disaster recovery and business continuity: By storing data in the public cloud, organizations can ensure data availability even in the event of a disaster at their on-premises data center.

    8. Cost-effective data storage: Public cloud providers offer pay-as-you-go pricing models, allowing organizations to only pay for the storage they need instead of investing in costly on-premises infrastructure.

    9. Global data accessibility: With public cloud providers having data centers in multiple regions, organizations can benefit from faster data access and improved performance for their global operations.

    10. Constant updates and maintenance: Public cloud providers handle the maintenance and updates of their data management platforms, ensuring organizations have access to the latest features and security updates.

    CONTROL QUESTION: Does the organization have a preference on the use of a specific public cloud provider?

    Big Hairy Audacious Goal (BHAG) for 10 years from now:
    By the year 2030, our organization aims to become a leader in data management by implementing a comprehensive and innovative data strategy. Our goal is to leverage cutting-edge technologies and best practices to achieve a seamless integration of all our data sources, regardless of their format or location.

    To achieve this, we will have established partnerships with all major public cloud providers, allowing us to seamlessly store, process, and analyze our data on their platforms. This will give us the flexibility to choose the best solution for our data needs, based on factors such as cost, performance, and compliance requirements.

    Furthermore, our organization will have fully embraced a data-driven culture, with all employees trained in data literacy and equipped with the necessary tools to make data-driven decisions. This will ensure that our data is not only well-managed but also utilized to its full potential, unlocking valuable insights and driving business growth.

    Through our holistic approach to data management, we aim to become a recognized leader in the industry, setting new standards for data integrity, security, and accessibility. This will not only enhance our organization′s efficiency and competitiveness but also inspire other companies to follow suit and create a future where data is truly transforming the way we do business.

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    Data management Case Study/Use Case example – How to use:

    Client Situation:

    ABC Inc. is a leading global organization operating in the technology industry. It provides software solutions to businesses of all sizes, ranging from start-ups to multinational corporations. The company has been steadily growing over the years and has expanded its operations to different countries. With the rapid growth of data and extensive use of technology, ABC Inc. was facing challenges in managing its data effectively. The company′s IT infrastructure was not able to handle the increasing data load, resulting in performance issues and increased costs.

    To address these challenges, the management at ABC Inc. decided to move its data management process to the public cloud and sought the assistance of a consulting firm, XYZ Consultants. The main objective was to identify the most suitable public cloud provider for the organization′s data management needs and to develop a robust data management strategy that would efficiently manage the organization′s growing data volumes.

    Consulting Methodology:

    At XYZ Consultants, we adopted a structured approach to assist ABC Inc. in its data management journey. Our methodology involved conducting an extensive analysis of the organization′s current data management practices and identifying gaps and pain points. We also conducted an in-depth evaluation of various public cloud providers based on factors such as security, performance, pricing, scalability, and availability.

    After thorough analysis and evaluation, we recommended that ABC Inc. adopt a multi-cloud strategy by using two public cloud providers, Amazon Web Services (AWS) and Microsoft Azure. Both these providers were found to meet the organization′s requirements in terms of performance, features, and security.


    As part of our consulting engagement, we delivered the following:

    1. A detailed evaluation report of different public cloud providers, highlighting their pros and cons.

    2. A comprehensive data management strategy that outlines the steps to be followed for data migration, storage, and governance.

    3. A plan for implementing the recommended multi-cloud strategy, along with a timeline and resource allocation.

    4. Recommendations for optimizing the organization′s data management processes, leveraging the features and capabilities of the selected public cloud providers.

    5. Training sessions for the IT team at ABC Inc. on how to effectively use the public cloud platforms and manage data on them.

    Implementation Challenges:

    The implementation of a multi-cloud strategy for data management posed certain challenges that we had to overcome:

    1. Migrating large volumes of data from the on-premise servers to the public cloud providers without disrupting business operations.

    2. Ensuring seamless integration between the two public cloud providers and existing applications used by ABC Inc.

    3. Training the IT team on how to handle the new data management processes and tools.

    To address these challenges, we developed a detailed implementation plan that included rigorous testing and training activities to ensure a smooth transition.


    To measure the success of our engagement, we defined certain Key Performance Indicators (KPIs) that would demonstrate the effectiveness of the recommended data management strategy:

    1. Reduced data management costs: By adopting a multi-cloud strategy and leveraging the features of both AWS and Azure, we aimed to reduce the overall data management costs for ABC Inc.

    2. Improved data security: The selected public cloud providers are known for their robust security measures, which would result in improved data security for the organization.

    3. Better data performance: Moving data to the public cloud would result in better data performance, reducing data latency and improving response times for applications.

    4. Increased scalability: With the growth of the organization, the data volumes are expected to increase. The use of public cloud providers would provide the required scalability to handle the growing data load.

    Management Considerations:

    Our consulting engagement was successful in assisting ABC Inc. in choosing the most suitable public cloud providers for its data management needs. It resulted in significant cost savings, improved data security, and increased agility in data management processes. However, it is essential for the organization to periodically review its public cloud usage and assess if the chosen providers continue to meet its changing business requirements.


    The case study of ABC Inc. demonstrates the importance of a well-defined data management strategy in today′s highly digitalized business environment. By leveraging the capabilities of different public cloud providers, organizations can efficiently manage their growing data volumes, improve performance, and reduce costs. However, it is crucial to assess the specific needs of the organization and select the most suitable public cloud providers accordingly. Our consulting methodology and recommended multi-cloud strategy have enabled ABC Inc. to effectively manage its data and support its continued growth as a global leader in the technology industry.

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