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Before the emergence of the big data world of today, primarily based on computing power, data management (after collection, and all kinds of sorting) was not as much of a rage as it is today. In fact, with only our manual human brains at hand, American writer Mark Twain said, “Data is like garbage. You’d better know what you are going to do with it before you collect it.”
Even as one understands and respects Twain’s logic, coated in timeless humor, today’s scenario is different. Corporations today, refer to their organized data as an asset because it has been worked upon, compiled, organized, stored, and protected.
The lesson is that before investing business resources in working on data, planning is a must, and this includes a cost-benefit analysis of data management. Finally, of course, all businesses will need to devise and design their own data management plans, detailing how data is to be drafted, processed, stored, and maintained for their purposes of value creation and customer experience.
A data management plan frames procedures and guidelines to which data would be subjected to as part of any ongoing research. It considers preserving the sanctity of the data, a task recognized under data governance. Next comes having a fair understanding of what all that data will be subjected to. It also needs to be clear that estimating the cost of this kind of data processing is also under the ambit of a data management plan. With this comprehensive understanding of data management, departments and team members are on the same page.
This ensures that business research based on data management is carried out well and you get excellent results for all stakeholders.
This blog is meant for data managers worldwide looking for dedicated templates to present their work in a wonderful, meaningful manner before a roomful of people. Let's check our top 5 PPT Templates to ease data management planning.
Template 1: One-Page Data Management Action Plan for Ministry of Commerce Presentation Report
Here’s the first example of a presentation template that is designed to serve the ministry of commerce in its action plan for data management. Use this PPT Template to schedule f events related to management of data, identifying data needs, establishing data governance, assessing data management standards, and creating a data ethics framework. Download this editable presentation template today to start managing your data better.
Template 2: Forward Plan for Data Management Process PPT Layout
Looking to train your teammates on effective data management? Here is a PowerPoint Template to structure your planning. Enlist the core steps involved such as data collection, input, processing, and storage, and present your ideal strategies to approach these. The clutter-free look of this PPT Slide allows you to convey the concepts with ease. Download it right now.
Template 3: Month by Month Business Data Utilization and Management Plan PPT Template
Plan your monthly business data utilization and management with this timeline template. Schedule your data management plan for the next six months with this PPT Designs wherein data organization, building infrastructure, facilitating deep learning, empowering data analysts and possibilities of monetizing data are covered. Download this presentation template now!
Template 4: Data Change Management Plan With Value Chain Analysis Business Analytics Transformation Toolkit
Planning with value chain analysis is the theme of this PPT Layout. Alongside devising a data management plan, locate opportunities during data collection, publication, uptake, and impact. Use this wave diagram structure to structure and identify an ideal approach towards data management. Grab this now!
Template 5: Enabling Data Security Risk Management Action Plan Building Business Analytics Architecture
Planning without risk management is a failed odyssey. Precise data management planning should accompany risk mitigation, which data managers can achieve with this PPT Layout. Categorize risks on their nature, severity, mitigation technique, and resolution time. Download this PPT Sheet now to prepare your risk management plan in advance and update it in real-time as the project progresses.
Simplify data management in your organization by keeping up with the planning, scheduling, and monitoring with our dedicated PPT Templates.
PS: With the entirety of our data being uploaded online, organizations need to protect its sanctity and ensure secure data transmission. Plan your strategies in this regard with this guide featuring 17 best enterprise security management templates.
FAQs on Data Management Plan
What all falls under data management planning?
A data management plan defines the roadmap for the effective and purposeful use of data that starts right from its need-basis collection to processing, dissemination, storage, and usage, where policies govern each step. Since managing data is an elaborate process, it involves coordination between data analysts, data owners, data stewards, and data custodians. A crucial activity in data management is preserving its quality because this processed and organized data will now become an asset for the organization that can be referred to from time to time.
Who all are involved in data management?
Developing a data management plan involves experts such as data analysts, data owners, data stewards, and data custodians. A data analyst collects and makes interpretations from the assembled data. Data owners are the ones with authority to allow or disallow access to the data they own (or which they have collected). Then there are data stewards who are responsible for maintaining the quality of data submitted to them. Lastly, data custodians look after the security, maintenance, recovery, and archiving of data allocated to them.
What is big data in data management?
Every endeavor relies on pre-established facts and information collected and stored by the user. Based on this information, decisions are taken, processes and policies are improved, and customer-centric services, designs, and experiences are generated. This bulk of information that powers any new advancement is referred to as big data. In data management, big data is collected over time, and it is this information that then governs projects and aspirations. The prefix “big” justifies the volume and the complexity of its nature to be used for multiple purposes.
What is metadata in data management?
Affiliating the prefix meta to data endows certain features that differentiate it from from data. In data management, in particular, data refers to the value collected, processed, allocated, and stored. In each step, data is associated with its meta-data that helps users identify the nature and origin of particular data, the processing it has undergone, and the purpose it upholds. Meta-data adds more value to data therefore, requires companies to pay special attention to it during data management planning.
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