What should a data management plan? It is likely that each company, Each business presents specific requirements for the content of the data management plan, but nevertheless, there are certain issues that, for its critical nature, are applicable to most sectors, areas, formats and projects.
The first thing that must be expensive is its purpose. A good plan data management Is essential, As minimum,:
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Manage your own data efficiently and properly.
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Adapt data usage to future organizational needs and optimize present interaction.
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Comply with legal requirements.
Therefore, any plan data management must act in the following 9 areas:
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Data integration.
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Data quality.
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Governance data.
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Information accessibility.
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Master data management.
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Metadata management.
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Data processing.
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Performance management.
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Data security
Only in this way is it possible to achieve a single view, ensuring integrity, integrity, accuracy and reliability of all data, acting on the entire data life cycle; and make data sources always available to share your information.
Photo credits: “Code Binary” by Vlado
Preparation of the data management plan
Before beginning the drafting of the plan that will govern the data management of the company, it is necessary to delve into a series of aspects:
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Who will benefit from the plan?
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What advantages will it bring to the business?
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What are the needs?
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What is the order of priority?
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Who will be responsible for the design and implementation of the data management?
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What tools are available?
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How can he data quality and security?
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How will the plan be kept up to date?
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What will be the indicators that allow the monitoring?
It should be noted that, at the time of applying the plan, must be able to solve all doubts about:
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Data discovery.
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Data Capture.
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Data migration.
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Development of databaseA database is an organized set of information that allows you to store, Manage and retrieve data efficiently. Used in various applications, from enterprise systems to online platforms, Databases can be relational or non-relational. Proper design is critical to optimizing performance and ensuring information integrity, thus facilitating informed decision-making in different contexts....
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Database managment
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Data maintenance.
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Interactions with the database (consult DB).
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Statistic analysis.
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Relational databases.
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Data analysis.
Design of the data management plan
Generally, a plan must contain several components, including the following:
1. Description of the purpose and scope of the data management.
2. Description of the data to which it extends: nature and format of the data.
3. Application standards: those that must be applied in the formats, metadata, etc.
4. Storage plans.
5. Legal aspects: among which intellectual property or confidentiality stand out.
6. Data access policies and establishment of the necessary restrictions.
7. Assignment of data management responsibilities: roles, competencies, guarantees and supervision of the plan.
8. Big data treatment.
9. Selection of the best technological platform.
Of course, design a sustainable strategy, collect key points and guide participants in creating the data management plan, is the starting point. Specifically, the scalability and cleanup efforts must be ensured, validation, data integration and enrichment in real time and are available for the future.
Photo credits: “A set of chess pieces” de rajcreationzs
Preparation and implementation of the data management plan
During the development plan stage data management, It is recommended to be guided by the following six steps, which are explained in detail below:
1. Strategy
2. Organization
3. Policies, processes and standards
4. Monitoring and evaluation
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Statistics and analysis.
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Track progress.
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Troubleshooting.
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Continuous improvement
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Score cards.
5. Technology
6. Communication
When implementing the plan data management It is necessary to observe a series of recommendations that cannot be ignored:
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Communication: Communication is essential and must be complemented with appropriate information addressed to all business users.
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Coordination: It is essential to provide a means of coordination between the participants. This is the only way to reduce conflict and build consensus.
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Data requirements: the most critical step and the one that will ensure the viability of the data management.
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Transition: Like any business process, things take time and that is why it is necessary to move forward with slow but sure steps and, as a protection measure, consider creating a transition plan, something that can work until the timing reaches the point of maximum efficiency needed.
Of course, planning should not ignore change management, what should measure the impact of the data management plan about the business, prepare the communication strategy and have the support of the IT Department.
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