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If you make decisions based on your opinion or other influences you are likely to fail Dora followed the right protocols in M&E

Data-driven decision making starts with the all-important strategy. This helps focus your attention by weeding out all the data that’s not helpful for your business.
First, identify your goals — what can data do for you? Perhaps you’re looking for new leads, or you want to know which processes are working and which aren’t.
Look at your business objectives, then build a strategy around them — that way you won’t be dazzled by all the possibilities big data has to offer.
Data is flowing into your organization from all directions, from customer interactions to the machines used by your workforce. It’s essential to manage the multiple sources of data and identify which areas will bring the most benefit. Which area is key to achieving your overarching business strategy?

yes i support the procedures Dora 's follow.

With the right data, organisation or professionals are able to make well informed decisions.

As a data -driven decision maker, making recommedations or decision have to start with finding appropriate data from which feasible conclusion can be made which leades us to prepare actionable schedule to make its impelmentaion for a remarkable acheivment or result.

Very effective and useful way of breaking down decision making using data, I tend to breakdown data in this way when working on a project.

Dora's makes decisions based on previous databases

After analyzing Dora's programs and rating them with cost, effectiveness, and rating, it can be clearly seen that mentoring the lease important program in her NGO. Decisions should not be bias and should be taken from solid data and information. Decision should not be taken from personal intuition or opinions rather it should be taken from true data analysis and facts.

After analyzing Dora's programs and rating them with cost, effectiveness, and rating, it can be clearly seen that mentoring the lease important program in her NGO. Decisions should not be bias and should be taken from solid data and information. Decision should not be taken from personal intuition or opinions rather it should be taken from true data analysis and facts.

The decision she took is very tough. The good thing is she used data and avoided bias

Quite frankly, I enjoyed the process including and inviting decision making based on the realities of the data. I want to understand even more about the analytical techniques to draw such convincing conclusions in order to better help the multitude of actors intervening for development projects.

absolutely relevant

First to find fact from the dat.
Compare and analyze,
Conclude your finding,
Provide recommendation and
Final take the decision.

Fantastic we should start by relying on findings then draw conclusions based our skills of analysis then followed by good recommendations, lastly actions based on results

The median is known as a measure of location; that is, it tells us where the data are. As stated in , we do not need to know all the exact values to calculate the median; if we made the smallest value even smaller or the largest value even larger, it would not change the value of the median. Thus the median does not use all the information in the data and so it can be shown to be less efficient than the mean or average, which does use all values of the data. To calculate the mean we add up the observed values and divide by the number of them. The total of the values obtained

Decisions is a necessity in data handling, what you do with data is what proofs your knowledge about its handling and management

Les décisions prises à partir des données sont elles toujours meilleures ?

Dora's decision need to improve some technical support.

the decision with data make by observing of 4 ways.
1: start with finding, mean in order to make a decision you really need to find a correct issue from your data and then based on your finding 2 draw conclusion, it mean that your data need for interpretation in order to 3make recommendation, for the data that you collected and for shut downing of the program and then 4 schedule action, for closing of the program.

I think this situation goes to show that this data should be more regularly monitored and not just viewed at the time when a difficult decision had to be made. Dora could have worked to cut costs and improve outcomes for the mentorship program, which were evidently both elements which needed improvement earlier. That being said, it is good that this data was being collected previously so that Dora's company could make this hard decision.

Data driven decision making enables M&E managers, project/program managers or anyone in charge of making decisions in an organization to make high quality decisions. It helps them to emotionally detach themselves from the programs, projects or options available to them to make decisions that are unbiased and are likely to have the most impact for their organizations. It is thus important for decision makers in organizations to embrace a methodical approach to decision making that begins with findings, followed by interpretation (drawing conclusions), making recommendations and taking specific actions in that order.

I was correct in saying Dora and her NGO should do an impact assessment evaluation. This decision making data has helped me realized that cost of the program is also very important.

Making decision with data means that go avoid the different types of biases that we tend to have and use actual facts (data) to make an informed decision that will help us to better achieve our planned objectives or goals.

Data is more reliable that your personal assumptions or bias. Your bias is influenced by your emotions and your idealism way of thinking. Data is more realistic.

Data is more reliable than your bias which influence by emotion.

Your progress of making decision will depend on your goals, organization and tools.
For example, you have to follow this steps like dora did:
1 Start with findings 2 Draw conclusion 3 Make recommendations and the last one is: Schedule your actions by ordering your program manager to get start action.

Data driven decision making forms the basis of accountability and transparency for any operations in any organization. Hence it is indeed very important.

1. Findings
   Analyse the findings from the data.

2. Interpret
   Interpret the findings to draw conclusions.

3. Decision
   Make decision based on the conclusions drawn

1. Findings
   Analyse the findings from the data.

2. Interpret
   Interpret the findings to draw conclusions.

3. Decision
   Make decision based on the conclusions drawn

1. Findings
   Analyse the findings from the data.

2. Interpret
   Interpret the findings to draw conclusions.

3. Decision
   Make decision based on the conclusions drawn

Collect and analyse data and make decision based on the final data.

Before you make a decision in project planning you must take the following into concertration: You must first start with findings, Draw conclusions, make recomendations and schedules actions.

When the organization use data before taking decision, they are the best. All decision must based on a serious data analysis.

Totally agree

data driven decisions are based on facts and inform a decision with a true view of the situation

You are supposed to rely on data on decision making. Steps to be followed are as follows;

1. Findings: Analyse available data to get findings
2. Making conclusion: What do you conclude from findings?
3. Making recommendations: What are you recommend based on conclusion
4. Taking action: Prepare schedule for taking actions for implementation of recommendations.

Yes. She made the right decision based on available data.

No data, less chance to make the right decision.

It is important for Dora to look at the organization's goal and tools then compare the programs' effectiveness and cost then make recommendation and schedule action.
The questions she should ask are, which program is more effective towards the organization's goal? which program is lesd effective towards the organization's goal?which program is more costly towards the organization's goal?which program is less effective towards the organization's goal?

Data-driven decision making is the use of facts, metrics, and data to guide strategic business decisions aligned with your goals and initiatives.
Having these essentials in place supports data-driven decision making at all levels. As a result, business groups will develop a habit of questioning and exploring information to uncover powerful insights that prompt action.

To make decision with Data, follow the steps below:

1. Start with findings. Findings are facts that you pull from the data.
2. Draw conclusions. Interpret the findings.
3. Make recommendations. Based on your conclusions, what should your organization do?
4. Schedule actions.

That's such a great summary.

When closing down a program, the steps to follow include; gathering findings, making conclusions, making recommendations and finally, taking action...

This is the reason M&E is very sensitive. It may not be in favor of one's opinion, as difficult decisions may need to be made in certain cases...

Absolutely, especially honesty as an ethic in M&E...

An externla evaluator may also help in making an unbiased decision...

Some examples of biases include; conformation bias (making decisions because they confirm what we already believe), the bandwagon effect (making decisions based on popular opinion), and the in-group effect (making decisions based on opinions of people who belong to the same group like us)...

All biases must be avoided as one is making a decision...

you can make decision with data by following this steps
starting with finding
drawing conclusions
making recommendation
scheduling actions on how the project will be shut down proceduly

To make decisions with data requires carefully observation and good understanding about how data are interpreted. Like the case of Dora, she has to look at same categories of data coming from different sources (activities/programs). This gives her a clear understanding about which program contributes most to the project goal.

To make decisions with data you must of all identify what has happened and what you want to change. Firstly, before getting to the database, define which information you want your database manager or M&E team pullout for your perusal. With this you spend less time to get what you want in order to make the right decision. Next, don't compromise what the data interprets, it might be frustrating and disappointing at times because we most times pre-plan before getting to the data. Let your personal opinion be put out this, respect what the data says. If others stakeholders are finding it difficult to accept take with you to review the data sa well.

Making decision with data. We need to interpret data, draw conclusion then decide what to do according to the goal or target of your project.

Making decision with data need to start with findings, Conclusion then Decision,

It is quite unfortunate that Dora had to eventually shut down the mentorship program. However, this was a necessary action because the findings informed this decision.

To make decisions with data, the different data should be analyzed using agreed criteria. The criteria could be cost, efficiency, impact, ease, adaptability, etc. Decisions will then be made based on the chosen criteria

To make decisions with data, the different data should be analyzed using agreed criteria. The criteria could be cost, efficiency, impact, ease, adaptability, etc. Decisions will then be made based on the chosen criteria

Data driven decision making helps in making clear, focused and impactful actions for programs

Interesting how data makes decision making straight forward albeit difficult.

To make decision will depend on your goal, organization and tool. there are some step to guided 1. start with findings, 2. draw conclusions 3. make recommendation and schedule action.

To decision with data con be made through the following; you start by finding the data and understand the data thereafter you draw conclusions base on the available data source, make recommendation that will guide schedule action at the end of the decision making analysis

Steps when making decision with data:

1. Gather findings - these are facts pulled from your data
2. Draw conclusions from this data. This coming up with an interpretation on the meaning of the findings. If you do not have enough information to draw a strong conclusion, go back and check if its possible to gather more information from other sources.
3. Make recommendations based on your conclusions to figure out what should be done. This is where the decision is actually made.
4. Implement that decision by proposing actions and schedule actions.

Decision should be made if the program has more challenges and the o ly way to stop that is following the steps of data Decision making

Look at the cost,rating and the effectiveness. If the highest effective has the highest cost then the project has to be closed and vice versa.

Making decision with data goes from the findings the team has to recommendations that will be put in action. We compare statistics about what we are going to work on in order to see the most reliable reality in the field.

1.Start with findings- the findings are facts that are pulled from data

2. Draw Conclusion- Interpreting the findings, this might require analysis skills
3. Make recommendations- looking at conclusions what should the organization do. This is where the decision is actually made
4. Schedule actions- After making a recommendation, implement that decision by proposing actions

Data is key for decision making. The right information put you or your organization in the right position to be able to make right decision. You have to thoroughly look at or analyze the data gathered from your finds, draw conclusion, make recommendations and them implement those recommendation of the effectiveness of the project or organization.

On scheduling actions, can you involve other stakeholders such as beneficiaries?

The decision Dora made after data analysis is now more reliable and Dora can back it up with facts