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Hi!
How's it going ?
More details bon how efficient can data be managed?
Data management helps to ensure the right people get the information
Data management questions are very crucial for any project cycle. Often, the flow of data collected by field staff is very high. So managing data accuracy will be affected. Privacy and security are big questions in managing data.
Some of our roles that we have within the project include the monitoring and
evaluation team lead who is the manager, we have our project staff, we have our peer
educators who collect this data, we have our partners and government, we also have
our donors within the project. We make sure that people understand their roles
in the projects using data in the following ways. One we make sure that they
have an understanding of the monitoring and evaluation plan and they understand
the guidance on how to use data. Two, we make sure that they understand that this
data represents human beings and therefore data needs to be treated with
respect. Thirdly is we motivate our staff to go
through regular training within the life of the project on data use and how to
handle it.
Yes monitoring and evaluation are good for projects assessment
Can you describe an effective data management plan?
What is the key to ensuring a company is compliant with all laws and regulations?
Can you share an effective approach to operating with a large amount of data?
What challenges are you looking for in this data manager position?
Data Management questions should align with the overall project Monitoring and Evaluation plan. These questions can be quantitative or qualitative and are often collated through the data management processes.
The Data flow map is the backbone of data management process.
It clears the roles and the responsibility of each member.
This is important to account for the information in the project.
The Data flow map reveal the manpower shortage in advance before the information is messed up in the process of the project hence jeopardizing the whole project.
Recognizing the use and who will use the data is key to complete the data management process.
The Data collection points is the fundamental to construction of data flow map.
When these data collection points are identified, the data use can easily be identified and recorded on top.
Who analyse and who send the data must be efficient enough to reach the quarterly report benchmark.
Data flow plan is really a wonderful presentation on how data moves from one person to another.
I hope on creating a good one for my project.
Roles and responsibilities in data management are really an area of importance. We've been faced with non functioning roles because no one feel assigned to do them.
But with what I've learnt so far in this course, positive change is certain.
Collection of data and how to use it remains key in project management. Because data represents human being most of the time, it becomes imperative to handle it with care.
Who collects data, who inputs it into the system, who process them and who stores them should be clearly stated and educated on the need to handle them as a sensitive material as these data represents the future of the project.
Data Management is the practice of collecting, organizing, protecting and storing an organization's data so it can be analyzed for decision making of an organization.
very important and guiding topic. helpful in managing the data flow and assign responsibilities in order to follow up the where the data and reporting
It helps to track the progress of the project
as we all know this data use step is really important for the project reference. but i would like to know if it is not also important that the project manager has data processing skills to analyse the data sent to him.
This topic was wonderful
This topic was wonderful
This topic was wonderful
Data management is an extremely important step because data can be collected, but if it is not properly processed and analyzed, the objective may not be achieved.
Data management is an extremely important step because data can be collected, but if it is not properly processed and analyzed, the objective may not be achieved.
Data management is an extremely important step because data can be collected, but if it is not properly processed and analyzed, the objective may not be achieved.
Data management is a great topic it shows without this (data management). A project can fall or maybe not continue.
I thought the data flow mapping exercise would be a breeze through but boy was I wrong! It got me thinking longer than I expected!
Interesting module. I wish more content is available on data verification.
I think this depends on the time span of the project being implemented it self.
Our team is quite small. It is handling a small amount of data but in my head, I get the picture on hwho w might need with time
J'aimerais bien savoir puisqu'il est question de gestion de données, est-ce qu'il est possible de créer une entreprise spécialisée en S&E et gestion de données ?
well understood, thank you
well understood, thank you
Which data collection method is most often used in M&E system?
Which data collection method is most often used in M&E system?
data management is actually the magic for decision making in a project life. from collecting it to making use of data. this shows us how much it is important to understand and delivery feedbacks at different quarters during the project life.
data management is actually the magic for decision making in a project life. from collecting it to making use of data. this shows us how much it is important to understand and delivery feedbacks at different quarters during the project life.
Is it skeletal to have just 2 data collection tool at the bottom, instead of 3 or more data collection tools at the bottom of the data flow chat?
DATA MANAGEMENT.
This covers all the processes for collecting, storing, organizing, accessing, analyzing and using data.
In collection of data several data collection tools and methods of collecting data like through interviews, surveys, focusing groups and others.
Once data have been collected, it is fed into the system by the person who has been tasked for that role. This is where he/she enter and collate data depending on the question raised during collection of data.
A project has a central place of storing its data for future use also known as archiving.
A SUMMARY OF DATA MANAGEMENT PROCESS.
Data collection-Data entry and collation-Data analysis, verification and storage-Data use.
I find it important for people who are new to program management to do data flow mapping. This mechanism lays out the roles, responsibilities, and documents required to collect data for the project's operations and management. Since the program team knows their roles, it would be less of a concern to program managers. It could even ease the tasks of program managers in ensuring that M&E is well conducted. Hence, it is essential if new program managers have data flow maps prepared.
As practice of collecting, keeping, and using data securely, efficiently, and cost-effectively, the goal of data management is to help people, organizations, and connected things optimize the use of data. This is done within the bounds of policy and regulation so that they can make decisions and take actions which are in the best interest of the organization. Thus, data management questions provide a guidance on how this process will be carried out and the assignment of roles for the project or program success.
In designing or creating data collection tools it best to carefully pick from many options as keeping tabs on only one method may affect the nature and type of data that will be collected and also not be able to track certain indicators optimally.
The tool should focus on relevant data that clear tells on the indicator being measured.
I think it important one pay more than the usual attention to data collection tools. Learn how to create these tools and know how to use them to collect data effectively as an M&E experts
Anyone one who needs my input in creating a logframe is free to reply or this post
Putting data into various usable formats for various stakeholders is very crucial as it positions them to make decisions, adjustments to the project objectives as well as measure progress and success. What are some of the most common formats?
Data is representative of human being hence, treat data with respect
This was the best topic
What is the best way to store data.
I honestly didn't know who to assign what roles to as we do not have a lot of staff yet
how will data be collected?
what will the date be used for?
who will collect the data?
who will analyze, verify and store the data?
what type of data will be archived?
how will data be collected?
what will the date be used for?
who will collect the data?
who will analyze, verify and store the data?
what type of data will be archived?
Please, when we have data flow map is it possible to indicate how often an activity eg reporting will take place on the data flow map?map
Data management is the practice of managing the data by different processes such as storing, maintaining, protecting, organizing, and processing the data retrieved by an organization from various sources safely and securely with utmost efficiency.
The main aim of data management is to reduce the risks for the organization related to data processing and provide accurate data to Donors, Government institution, Directors, M & E Managers and organization. Data management helps in better optimization of data and in turn, helps make better organizational-related decisions keeping in mind the rules, regulations, and policies of the Organization.
organization that does not understand the importance of data management are less likely to make annually reports for donors and partners.
Amazing journey
You need to ask yourself
How does one do the quality checks?
Data management is an important component of M&E Plan. Particularly, the data flow map outline graphically how M&E data will flow from its source up to consumers. It therefore create of condition of data accountability as each actor along the data flow chain is known.
Data management is also crucial for organizational learning and for adaptive management. Through data management and use organization can access historical and present level of performance and accordingly decide on the best course of action.
How if we have limited staff to do data management for Monitoring and evaluation?
Data management (or data management) consists of collecting, ingesting, storing, organizing and keeping up to date a company's data.
You are absolutely right, it is a very interesting course especially for those who intervene in the field of information management.
data management
It's never too early to start to think about the answers to these questions and incorporate them into the development of a research project. ...
What is your data?
How will you document and describe the data?
Does the data need to be protected?
Will you share your data with others?
It has a significance role and boost my knowledge how to manage data step by step. Very informative.
Data management is the most important aspect of M&E as such careful planning and execution of data management process is vital. Firstly, there is need to have a vibrant monitoring and evaluation team to ensure effectiveness of the project. Secondly, the roles and responsibilities of the team should be well defined so that everybody should know what they are supposed to do.
In the module Data flow map, I have understood how data flows and also each and everyone's roles in an organization
Let's dive into these seven best practices.
Outline your business goals. ... Prioritize data protection and security. ... Focus on data quality. ... Reduce duplicate data. ... Ensure your data is readily accessible to your team. ... Create a data recovery strategy. ... Use a quality data management software.
This has been a great module on how to manage data. At first it looked complex but after breaking it down, it becomes easier.
Amazing module, looked complicated at first, but the step by step breakdown really helped.
Who benefits from your program's impact?
Which outcomes do your impact recipients experience?
Who can confirm whether the outcomes have been achieved?
Data management is a core stone of on project
The graphics of the data flow map is enchanting. It's self explanatory
It's easy but requires critical thinking.
Having assigned roles ensures that every one understands their responsibilities and no two people do the same things. this then reduces duplication. it also helps ensure accountability of the various processes that should happen
it is quite the process!!
that then becomes the purpose of doing an evaluation. to answer the very questions you ask. and whether the project has answered the questions it sought to answer
I have appreciated the role of a data flow map in this module, it is something I had not used before nor seen in the project planning process.
When every role in the data management process is assigned a responsible person, it is easy to even monitor the safety of the data. I will ensure to introduce the data flow map to my project and help team mates appreciate it.
Yes it does away with duplication of roles and ensures accountability of the data by all.
Mastery of monitoring and evaluation greatly influence the quality of the data management process used in a project
Who will typically be the custodian of the data flow map in an organization?
Survey is commonly use because of its ability to collect both qualitative and quantitative from a large group
Beneficiaries ofcourse and donors who may decide to pump more resources or duplicate the program in other areas with similar problems
Data management is a process which involve data collection raw data and bringing it to be managed. Then data entry is required and then data is stored then analyzed then data is transformed into using information in a report.
Does the data need to be protected?
Data management includes the ways and paths to manage and prepare data collection.
collecting , and analyzing of your organization helps minimize potential errors in very important decisions of your organization
data management is a process that includes data collection, data entry and collation, data analysis data verification and storage and lastly data use
data managed includes many questions these include:
The necessary data management questions considered as follows:
Create a data management strategy.
Define roles in the data management system.
Control data throughout its life cycle.
Ensure data quality.
Collect and analyze metadata.
Maximize the use of data
The data flow map is very useful to visualize how data will be colleccted, using what tools, who will analyze and archive the data, who will write down reports using the data, and who willl review the reports and further share the reports to donors, government and communities
The marketing environment is becoming more data-driven by the day. To keep up, marketers must rely on consumer statistics, campaign measurements and real-time data generated from customer interactions. Building a data management strategy that collects and links all of this data from multiple channels, in a secure manner, is hugely important.
The need is clear, and it affects the bottom line. According the Experian Data Quality research, only 10 percent of commercial companies report that none of their revenue is wasted by poor data quality. And the majority (53 percent) of companies who have significantly increased their profits in the last 12 months manage their data in a central location.
In a recent best practices guide for data management, we identified the key facets of data management as:
Data collection
Cleanliness and data quality
Security
Linkage
Agility and accessibility
To make data-driven decisions, marketers need to be completely confident in all of these data areas. And although building a data management strategy is imperative, sometimes it can be hard to know where to start.
With that in mind, we’ve put together a list of ten data management questions that will help you pinpoint where your strategy excels – and where you may need additional resources.
Ten data management questions to ask
Thats very true
The questions help the M&E team to establish accurate goals and objectives of the project
how separate is is the evaluation team from the monitoring team?
Goodmorning how are you
Is vers good work
This is nice. Thank you for the job well-done.
Thank you.