My Communities

I would like to say that the data management process includes a combination of different functions that collectively aim to make sure that the data in corporate systems is accurate, available and accessible.

10 key data management questions will be addressed, namely:

Why should I care about data management?
What normative framework applies to the data?
Is personal data being processed?
Is consent mandatory?
Where should the data be stored during the project?
How much anonymization is enough?
How much documentation is needed?
How to select which data to archive and share?
What are the advantages of sharing data through a data infrastructure?
How can we improve data management support for researchers?

DATA COLLECTION
-Who will be responsible for data collection?
-who will be ensuring data quality?

DATA ENTRY AND COLLATION
-who will enter data?
-who will collate data?

DATA ANALYSIS,VERIFICATION AND STOARAGE
-who will analyze data?
-how often will data be verified?
-who verify data?
-where will data be entered?

Data managment process in crucial for approriate collection, analysis,and use of data

Data flow starts from the bottom and goes to the top decision makers. So we have different roles and responsibilities as the data collector collects quality data and hander over the managers and M&E teams to be analyzed and, these bodies will bring the analyzed data for decision makers (government, donors and also to community leaders).

La gestion des données est un ensemble de processus allant de la collecte des données à l'utilisation de ces données en passant par la saisie, la collation et l'analyse, la vérification et le stockage de ces données.

Data measurement management are very useful for my knowledge

Data management system help us to manage our data step by step and to realise the roles and responsibilities of every member of the organisation

Data management system help us to manage our data step by step and to realise the roles and responsibilities of every member of the organisation

Data management shows to be a part of Monitoring and Evaluation that most teams overlook and as a result there is always confusion in the workplace.

Firstly, make sure that our stackholders have an understanding of the monitoring and evaluation plan and they understand the guidance on how to use data.
secondly, make sure that they understand that this data represents human beings and therefore data needs to be treated with respect.
Thirdly motivate our staff to go through regular training within the life of the project on data use and how to
handle it.

I LIKE THE ASPECT THAT THE VIDEO POINTS OUT THAT THIS DATA REPRESENTS PEOPLE AND SHOULD BE TREATED WITH RESPECT

The data management process involved data collection, entry, analysis, verification, storage and usage. Part of the data management is also to have a data flow map which will help to assign roles and responsibilities and this involve us to be clear when drawing out our data flow map on how we will use our data and how often we will use the data,

Without organization who will be collecting, analyzing, and using data, and what it's eventual purpose is, m&e becomes impossible and without an aim. To keep things efficient and promote a successful program, it is necessary to go through these steps, such as creating a data flow map, to measure program indicators.

I agree!

Absolutely, that's a point that I think can get lost when we focus in on data

Data management also known as data factory encompasses all the processes involved in the collection and use of data. These processes include;
Collection of data; this involves gathering raw data either from a research, survey, questionnaire or thruogh several means.
Data entry and collation: these involve the entry or the inputing of the raw gathered data to digital system for safe keeping while collation on the on the other hand refers to inputing or entering data of same similarities or same type.
Data analysis, verification and storage: these involve analyzing the entered data by using the data to ask questions and getting conclusions, verifying the entered data to be sure that the data are being collected in an accurate manner then storing the data for future purposes and referencing.
Data use: this involve the use of the stored data for various purposes such as report writing, project writing, design and management decision making.

The frequency of data collection and data collection template should be predefined (while designing the project). Uniform data collection, analysis(management)helps to track(monitor) project implementation and It is very essential to evaluate a project based on key indicators. Key indicators can only be measured through robust data management.

Monitoring and Evaluations are the key elements of the project management cycle, inappropriate or lack or monitoring and evaluation plan will have the following negative consequence on the project.
There would not be baseline
There would not be project indicators
The project outcome and impacts can not be measured
In refer to the above two cases, in the first project the project manager has M&E plan and teams knows what is the project goals. what to open 1200 saving account for girls in 34 Kenyan village in next 6 months. therefore everyone knows what to do to have successful project.
in the case of second project the project manager and project team know the donor demand, they that donor want to have accurate information from the field, the project progress, from the project goals, project outcome and project baseline, therefore now the project manager realized they need for project Monitoring and evaluation plan. therefore the project Monitoring and evaluation plan is the key for the successful implementation of the project and every project should have accurate M&E plan.

Risk and Assumption
there are number of risk and assumptions

if there is not enough data or baseline, it would be difficult to measure the progress of the project and to measure the impact of the project
of reach specific project the project manager need to have specific data and baseline
the other risk for project outcome or impact measurement is the intervention of multi-organization, if there is number of organization working in the same field with the same community it would be difficult to understand the impact of your own work.

Monitoring and Evaluations are the key elements of the project management cycle, inappropriate or lack or monitoring and evaluation plan will have the following negative consequence on the project.

There would not be baseline
There would not be project indicators
The project outcome and impacts can not be measured
In refer to the above two cases, in the first project the project manager has M&E plan and teams knows what is the project goals. what to open 1200 saving account for girls in 34 Kenyan village in next 6 months. therefore everyone knows what to do to have successful project.
in the case of second project the project manager and project team know the donor demand, they that donor want to have accurate information from the field, the project progress, from the project goals, project outcome and project baseline, therefore now the project manager realized they need for project Monitoring and evaluation plan. therefore the project Monitoring and evaluation plan is the key for the successful implementation of the project and every project should have accurate M&E plan.

Risk and Assumption
there are number of risk and assumptions

if there is not enough data or baseline, it would be difficult to measure the progress of the project and to measure the impact of the project
of reach specific project the project manager need to have specific data and baseline
the other risk for project outcome or impact measurement is the intervention of multi-organization, if there is number of organization working in the same field with the same community it would be difficult to understand the impact of your own work.

believe it is never too early to begin thinking about the answers to these questions and incorporating them into the design of a research project.
What information do you have?
How are you going to document and describe the data?
Is it necessary to protect the data?
Will you make your data available to others?

Data measurement management are very useful for my knowledge

Data management involves all the processes of collecting, storing, organizing, accessing, analyzing and using data. Within involves collation which is the grouping of all responses to similar questions.

1. Yes, if they're capable of handling the tasks. Plus it also aids in budgetary efficiencies.

Data Management entails the entire process from the technique or methods to the collection tools.
The steps in Data Management includes:

Data Collection
Data entry
Data Analysis
Data Storage or Archiving
Create Reports or send Reports
Make decisions based on the data

Roles and Responsibilities at every step of M&E plan is very essential for the success of the project

Does the data need to be protected?

Need help on the responsibility of the monitoring and evaluation officer

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? ...
How will you store and access the data over the short- and long-term?

Why should I care about data management?
What normative framework applies to the data?
Is personal data being processed?
Is consent mandatory?
Where should the data be stored during the project?
How much anonymization is enough?
How much documentation is needed?
How to select which data to archive and share?
What are the advantages of sharing data through a data infrastructure?
How can we improve data management support for researchers?

Is there any established platform for data management?

What is data?

Before assigning roles and responsibilities, consider then data management processes.

Data flow map is most important aspect of the Data management system which if not well dealt with will lead to the unsuccessfulness of a very promising project

Hello team, anyone, has master this part of data management ?

Data that are used as primary sources to support technical or scientific enquiry, research, scholarship, or artistic activity, and that are used as evidence in the research process and/or are commonly accepted in the research community as necessary to validate research findings and results. All other digital and non-digital content have the potential of becoming research data. Research data may be experimental data, observational data, operational data, third party data, public sector data, monitoring data, processed data, or repurposed data.

What Do We Mean By "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. The answers may change over the course of your research.

1. What is your data?

Quantitative, qualitative, spatial, text, video, physical object
Will the dataset(s) grow over time?
What tools or software are needed to create & use the data?

2. How will you document and describe the data?
   Methodology
   Field names, data identifiers, metadata
   Naming conventions

3. Does the data need to be protected?
   Participant/human subject privacy
   Intellectual property
   Anonymization

4. Will you share your data with others?
   Expectation of funding agency
   Open access
   Journal citation

5. How will you store and access the data over the short- and long-term?
   How long?
   What file formats?
   Hosting site?

These are questions help to identify the roles and the responsibilities of data manamanagement. These questions include:
What are the responsibilities and the tasks that will need to be completed?

Who are the people who will take on these responsibilities, and what are their roles?

Effective Data management requires assigning specific roles and responsibilities to team members who are well equipped

Data is the key indicator of a project's progress and success.

Why should I care about data management?
What normative framework applies to the data?
Is personal data being processed?
Is consent mandatory?
Where should the data be stored during the project?

Why should I care about data management?
What normative framework applies to the data?
Is personal data being processed?
Is consent mandatory?
Where should the data be stored during the project?

Does the data need to be protected? ...
Will you share your data with others? ...
How will you store and access the data over the short- and long-term?

The outstanding can be the Data management draw the guide of the process of M&E with all the involved parts, their distribuited responsabilities and the bound between them to ensure the yhe plan is clear for all involved parts.

The outstanding can be the Data management draw the guide of the process of M&E with all the involved parts, their distribuited responsabilities and the bound between them to ensure the yhe plan is clear for all involved parts.

The outstanding can be the Data management draw the guide of the process of M&E with all the involved parts, their distribuited responsabilities and the bound between them to ensure the yhe plan is clear for all involved parts.

The outstanding can be the Data management draw the guide of the process of M&E with all the involved parts, their distribuited responsabilities and the bound between them to ensure the yhe plan is clear for all involved parts.

Data management includes collecting data, collation, verification, analysis, using, and storing data. To go ahead with data management, it is important to create a data flow map, it provides guidance on responsibilities and roles, how data is collected, sources, and where data is meant to go.

some questions to ask during the data management stage are;
what data tools are we using
who is responsible for using them, analyzing them, and verifying them
where does it go and what timeline

These questions will provide a guide on creating a data flow map, which provides the whole picture.

Data management questions are essential, as it ask the question who which allows for roles description and responsibilities

I think data collection and data entry work can be done by HRIOs

Data management is about Collect data, Enter and collate data, Check data quality, Analyze the data, Store data, create reports, send reports and Make decisions based on the data.

I think that a very important aspect is that we include the beneficiaries as recipients of the data products.
This helps to share information with all the skateholders and to ensure that the beneficiaries take the project and the actions as own.

I think that a very important aspect is that we include the beneficiaries as recipients of the data products.
This helps to share information with all the skateholders and to ensure that the beneficiaries take the project and the actions as own.

Yemen suffered mainly from scarcity of natural resources, especially in water and unemployment among young people, especially in the rural areas, which is reflected in the livelihoods, especially in the agricultural sector, which employs more than half of the population and exacerbated the worst outbreak of conflict in March 2015, As a result of displacement, the United Nations estimates the number of displaced people at 3 million, in addition to the glut of production inputs, mainly oil derivatives, with low production and cheaper product prices, where agriculture has become ineffective, which has been reflected in the food security of the society, Based on grains, vegetables, and meat crops where the United Nations estimates the number of people suffering from food insecurity with 8.4 million. And the interruption of salaries of state employees for nearly two years to stop many services of government offices, including services of agriculture, both plant and animal, which contributed to the decline in productivity significantly and affected the private sector represented by traders of agricultural inputs and livestock from the other side The project aims to mitigate the impact of the crisis And to help them continue their work and restore their means of livelihood. The project will achieve tangible results in: 1. restoring the livelihoods of the target families. 2. Creating jobs 3. Reviving the private and local sectors

Yemen suffered mainly from scarcity of natural resources, especially in water and unemployment among young people, especially in the rural areas, which is reflected in the livelihoods, especially in the agricultural sector, which employs more than half of the population and exacerbated the worst outbreak of conflict in March 2015, As a result of displacement, the United Nations estimates the number of displaced people at 3 million, in addition to the glut of production inputs, mainly oil derivatives, with low production and cheaper product prices, where agriculture has become ineffective, which has been reflected in the food security of the society, Based on grains, vegetables, and meat crops where the United Nations estimates the number of people suffering from food insecurity with 8.4 million. And the interruption of salaries of state employees for nearly two years to stop many services of government offices, including services of agriculture, both plant and animal, which contributed to the decline in productivity significantly and affected the private sector represented by traders of agricultural inputs and livestock from the other side The project aims to mitigate the impact of the crisis And to help them continue their work and restore their means of livelihood. The project will achieve tangible results in: 1. restoring the livelihoods of the target families. 2. Creating jobs 3. Reviving the private and local sectors

Yemen suffered mainly from scarcity of natural resources, especially in water and unemployment among young people, especially in the rural areas, which is reflected in the livelihoods, especially in the agricultural sector, which employs more than half of the population and exacerbated the worst outbreak of conflict in March 2015, As a result of displacement, the United Nations estimates the number of displaced people at 3 million, in addition to the glut of production inputs, mainly oil derivatives, with low production and cheaper product prices, where agriculture has become ineffective, which has been reflected in the food security of the society, Based on grains, vegetables, and meat crops where the United Nations estimates the number of people suffering from food insecurity with 8.4 million. And the interruption of salaries of state employees for nearly two years to stop many services of government offices, including services of agriculture, both plant and animal, which contributed to the decline in productivity significantly and affected the private sector represented by traders of agricultural inputs and livestock from the other side The project aims to mitigate the impact of the crisis And to help them continue their work and restore their means of livelihood. The project will achieve tangible results in: 1. restoring the livelihoods of the target families. 2. Creating jobs 3. Reviving the private and local sectors

Yemen suffered mainly from scarcity of natural resources, especially in water and unemployment among young people, especially in the rural areas, which is reflected in the livelihoods, especially in the agricultural sector, which employs more than half of the population and exacerbated the worst outbreak of conflict in March 2015, As a result of displacement, the United Nations estimates the number of displaced people at 3 million, in addition to the glut of production inputs, mainly oil derivatives, with low production and cheaper product prices, where agriculture has become ineffective, which has been reflected in the food security of the society, Based on grains, vegetables, and meat crops where the United Nations estimates the number of people suffering from food insecurity with 8.4 million. And the interruption of salaries of state employees for nearly two years to stop many services of government offices, including services of agriculture, both plant and animal, which contributed to the decline in productivity significantly and affected the private sector represented by traders of agricultural inputs and livestock from the other side The project aims to mitigate the impact of the crisis And to help them continue their work and restore their means of livelihood. The project will achieve tangible results in: 1. restoring the livelihoods of the target families. 2. Creating jobs 3. Reviving the private and local sectors

Yemen suffered mainly from scarcity of natural resources, especially in water and unemployment among young people, especially in the rural areas, which is reflected in the livelihoods, especially in the agricultural sector, which employs more than half of the population and exacerbated the worst outbreak of conflict in March 2015, As a result of displacement, the United Nations estimates the number of displaced people at 3 million, in addition to the glut of production inputs, mainly oil derivatives, with low production and cheaper product prices, where agriculture has become ineffective, which has been reflected in the food security of the society, Based on grains, vegetables, and meat crops where the United Nations estimates the number of people suffering from food insecurity with 8.4 million. And the interruption of salaries of state employees for nearly two years to stop many services of government offices, including services of agriculture, both plant and animal, which contributed to the decline in productivity significantly and affected the private sector represented by traders of agricultural inputs and livestock from the other side The project aims to mitigate the impact of the crisis And to help them continue their work and restore their means of livelihood. The project will achieve tangible results in: 1. restoring the livelihoods of the target families. 2. Creating jobs 3. Reviving the private and local sectors

Yemen suffered mainly from scarcity of natural resources, especially in water and unemployment among young people, especially in the rural areas, which is reflected in the livelihoods, especially in the agricultural sector, which employs more than half of the population and exacerbated the worst outbreak of conflict in March 2015, As a result of displacement, the United Nations estimates the number of displaced people at 3 million, in addition to the glut of production inputs, mainly oil derivatives, with low production and cheaper product prices, where agriculture has become ineffective, which has been reflected in the food security of the society, Based on grains, vegetables, and meat crops where the United Nations estimates the number of people suffering from food insecurity with 8.4 million. And the interruption of salaries of state employees for nearly two years to stop many services of government offices, including services of agriculture, both plant and animal, which contributed to the decline in productivity significantly and affected the private sector represented by traders of agricultural inputs and livestock from the other side The project aims to mitigate the impact of the crisis And to help them continue their work and restore their means of livelihood. The project will achieve tangible results in: 1. restoring the livelihoods of the target families. 2. Creating jobs 3. Reviving the private and local sectors

what are dangers associated with analysing unvalidated datas?

who will be responsible for data collection? who will be responsible for data quality? who will collect the data? who will enter the data? who will analyze the data? who will prepare report? who will send report? who will make project decision?

The Data flow map has greatly elaborated the various roles and responsibilities of the various personnel involved in the project. With this its possible to track on who is supposed to do what?, and at what time intervals?.

How will we store and organize our data?
What kind of data do we need to collect and track?
How will we ensure the security and privacy of our data?
How will we backup and recover our data in case of a disaster?
How will we ensure the accuracy and completeness of our data?
How will we handle data updates and versioning?
How will we handle data governance, including compliance with regulations?
How will we handle data archival and retirement?
How will we support data analytics and reporting?
How will we integrate data from different sources?
How will we handle data quality?
How will we handle data lineage?

data management is important but raises important questions as to how the data will be collected, entered analysed, reported and stored and its eventual use in decision making

I agree with the data management criteria

the data flow map makes it easier to trace where problems are emerging in the data management

Data management in monitoring and evaluation is a widely-used practice within a number of industries and sectors, including humanitarian assistance. This data management can involve a wide variety of activities, including data collection on relevant indicators, analysis of the collected data, and a reporting system to ensure that the properly analyzed data is seen by key people at every level.
All these activities must have a responsible person or — more commonly — persons, typically including those with expertise in

identifying appropriate indicators

designing a data collection form to allow the accurate collection of those indicators in the field

getting that data collection form into an electronic system (e.g. a mobile phone or tablet)

moving the collected data into a data management space for cleaning and analysis

managing the dataset and ensuring that there are multiple backup copies

analyzing the collected data

interpretation, visualization and presentation of collected data

And a project manager, or primary investigator, to manage the entire process.

Important Data management questions to consider are: Who will:
a. Collect data
b. Enter and collate data
c. Check data quality
d. Analyze the data
e. Store data
f. Create reports
g. Send reports
h. Make decisions based on the data

In Project data management, the M and E team should be closely involved fully, as they have the expertise to answer the Data management questions, of who, where, when and how this data will be handled.

Its so key to every project to have a monitoring and evaluation system that can answer all questions and give responses or solution to the projects objectives.

When a project us at designing stage, the entire idea should include the who question at every part of data management. This helps with Data quality and readiness in time

Common questions that a Data management team should ask and include in their data flow map;

1. What kind of data are we having.
2. Who with collect what type of data.
3. When do we need tho data availed.
4. Who will summarise the data we have.
5. How with this data be collated.
6. Who with store the DAT we collected.
7. Who will analyse our data
8. When will the reports be generated and who with be responsible for the role.

It is very important to assign the staff with the responsibilities on how data will be collected and analyzed and each one of them should know what to do, how to do it and when.

How do you manage your data when those who are responsible for sending in the data are not sending?

Data Management should be completed prior the start of the implementation of the project

Bonjour
J'ai juste une question concernant le 5e module d'analyse des données le cours penche beaucoup sur les théories qu'au niveau des logiciels au moment ou ont ne peut pas dire analyse des données sans logiciel.
Je voulais savoir s'il y a un autre cours qui va nous enseigner comment analyser les données avec les logiciels (SPSS, ATLAS, STATA, EXCEL...)

Oui, ont doit protéger les données

Je crois vous êtes toujours obliger de le gérer comme vous le faisiez avant mais il faut éviter de modifier des données enregistrer, Il faut aussi sécuriser l'outil qui vous a aidé a récolter les données. Vous pouvez aussi informez vos chefs la situation et leurs proposer si tu peux les envoyer si toutes les conditions sont réuni (connexion, et si tu es capable de le faire toi même )

Selon moi non, je crois la partie importante c'est le Cadre Logique car c'est un outil que nous utilisons du début a la fin du projet nous pouvons même dire que c'est le tableau de bord du projet.
La gestion de données c'est important mais pas tres important.

Quelles sont vos données ? ...
R/ Les données ce sont les informations récoltées avant, pendant et après le projet
Comment allez-vous documenter et décrire les données ? ...
R/ Nous pouvons décrire ou documenter le projet dans plusieurs façons : 1. Manuelles, 2. Sur l’ordinateur, Téléphone Android et enregistreurs ou vidéo
Les données doivent-elles être protégées ? ...
R/ Oui
Partagerez-vous vos données avec d'autres ? ...
R/ Oui, selon notre procédure ou la carte de plux
Comment allez-vous stocker et accéder aux données à court et à long terme ?
R/ Je peux les stocker dans différentes manière :

• Dans une base des données dans l’ordinateur.
• Dans une base des données dans le téléphone
• Dans une base des données dans le disque dur externe.
• Dans une base des données dans OneDrive
• Dans une base des données dans un serveur que je peux créer protéger (ONA.IO)

Quand vous gérer les données il faut respecter tres bien le diagramme de flux de données comment les données doivent circuler de la collecte a l'approbation :

• Agent de terrain
• Officier terrain
• Chargé de Suivi et Evaluation
• Chef de projet
• Directeur
• Gouvernement
• Bailleur
• Bureau international de l'organisation
• ....

Les données ce sont des informations récoltées soit au terrain, dans des archives, dont nous pouvons dire données primaires ou secondaires. En utilisant les différents outils (Papiers et stylos, téléphones androïdes, Ordinateurs....)

A data management plan is a structured system detailing how data will be collected, managed, preserved and shared in a research project. It addresses data management throughout the research lifecycle and should include information on the following:
 What data will be collected or created (including both primary and secondary data);
 The instruments and methods that will be used to collect and process data (including any software that may be created);
 The quality control processes that will be applied to maintain consistency and accuracy of data and reduce the incidence and impact of error;
 How data will be stored and kept secure during the active phase of the project;
 How data will be organised, so that they can used efficiently;
 What information will be recorded about the data, so that they can be validated, interpreted and used by yourself and others;
 How any ethical and data protection issues relating to any research participants will be handled, where this is relevant;
 How intellectual property rights in the data will be handled;
 How and when data and supporting materials (such as software code) will be preserved and shared at the end of the project;
 Who will be responsible for doing what, and what resources will be required.

Data management comprises of the following steps; collecting, storing, organizing, analyzing and using data.
In data management, the following questions come in mind; How is data collected? How is it stored? How is data organized? How is data analyzed and used?

The data management process is a step by step procedure that should be handled well to ensure data quality.

Data management involves organizing, storing, and maintaining data to ensure its accuracy, completeness, and usefulness. Key questions in data management include: how data is collected, stored, and processed; how to ensure data security and privacy; how to handle large amounts of data; and how to ensure data integrity and reliability. Effective data management strategies help organizations make informed decisions and achieve their goals.

data management questions will setail how data will be collected,managednpreserved and share .

the quality control should be applied to maintain consistency and accuracy of data to reduce errors impact

Data flow map is a very useful tool that can help to design how communication (about data and reporting) will be managed throughout the project

Every project needs to have a well structured data flow map which clearly explains the roles and how the data gets to the donors.

Every project needs to have a well structured data flow map which clearly explains the roles and how the data gets to the donors.

Data management is the key in an M&E process. The data flow map needs to be well designed to effectively use data in q right and efficient way. Another thing to consider is the skills of data collector, data processors which need to be at a very good level.

Indeed yes. Data need to be protected as said in the video. There are human being behind data collected. Due to confidentiality and some time the sensitivity of collected data, the need to be protect. By doing so, you are protection the safety of your data/information provider.
It's not advise to share data with others outside the project. Sharing data is coming back to share relevant and sensitive information. You risk losing the confidence that participants have placed in you and losing the credibility of your service/project vis-à-vis the public. However, I think that result can be shared if there is no disclosure conditions binding them.
According to the need, it's possible to store the data and use it back in a short-term if needed. In a long -term, data can become useless because things may evolve.

The data management process is very important for every project and organization. We do invest a lot of energy in the field to collect vital information. Once the information is collected the data processing phase starts means entering the data, analysing the data and most importantly deriving meaningful conclusions to support the implementation and measuring the impacts of the interventions. This all depends on the right people for the job.

Data management has different steps, they include data collection, data entry, data collation, data analysis, archiving or storage lastly data use.

Data Management; is that mostly related to data collection, entering, verification and use? is there any way we can understand data analysis and hoping a very crucial topic in data management.

This module explains how data are used on the project from collecting, through reporting.

Data management is the processes for collecting, storing organizing and using the Data.

This module explains how data are used on the project from collecting, through reporting.

Data management is the processes for collecting, storing organizing and using the Data.

In data management , it is important that the information collected be accurate and communicated on time to facilitate informative decisions.

Data Management helps ensure businesses don't use multiple, potentially inconsistent versions of data in different parts of business, including processes, operations, and analytics and reporting. The three key pillars to effective data management include: data consolidation, data governance, and data quality management.

Est-il possible d'avoir des mauvaises données, si le responsable, chargé de collecter les données n'est pas estimé par les chargés de communiquer les données ?