Reporting and Decision Making Management
Having a simplified view of all aspects of business management and analyzing performance indicators helps to achieve greater efficiency and control costs. Business Intelligence, reporting and decision making tools facilitate the analysis and monitoring of progress, decision-making and the communication of relevant quantified results.
AB Consultant supports you in the context of your decision-making projects for the development and distribution of dashboards adapted to your accounting, financial, commercial, production and personnel management strategy.
To make an good decision, it is necessary to have all the information concerning each of the alternatives and to know the consequences that each of these could generate in relation to the defined objectives. By using the data collected as raw material, correct processing of information from Dieppe makes it possible to better discern the action that should be applied.
A valuable aid to facilitate your decision-making
In today’s fast-paced business world, the ability to make informed decisions quickly is critical to success. This is where reporting and decision-making management solutions come in. These solutions help businesses collect and analyze data, make sense of it, and use it to inform decisions that can improve performance and drive growth.
Our role of the decision-making consultant is to transmit to the operational staff or the managers of a company, a report facilitating decision-making.
We have to know the report data perfectly in order to be able to answer in the event of questions from a user.
The combination of the report with the business knowledge of the users ensures optimal decision-making.
The decision-making consultant, or even decision-making analyst, or Business Intelligence consultant, is at the same time listener, analyst and adviser for all that concerns decision-making in a company. The latter is likely to call on him in different cases: in order to resolve a situation of difficulty observed or upstream in order to organize the circuits and decision-making process.
Its technical role is focused on using data to produce effective decisions. But data analysis is not his only source of decision-making criteria, he also relies on other types of analysis depending on the company’s activity, such as financial analysis (costs, edge).
Its action is very valuable to the company, for example to align its pricing policy with market trends and possibilities. Thanks to the recommendations of the decision-making consultant, each stage of the chain has a model which makes it possible to know the action to be taken according to the increase in the prices of the materials, the results of negotiations with the partners, the possibilities of promotional actions, observed trends, etc.
- Analysis of customer needs: collection and analysis of functional needs
- Design of IT solutions: choice of tools
- Modeling and enrichment of data storage units
- Implementation of the solution: recovery of databases, structuring
- Implementation of indicators and statistical studies
- Production of reports and dashboards for the company’s decision-makers
- Decision analysis and modeling
- Training of the company’s internal staff in tools and processes
Performance management solutions
10 Tips to Improve Data-Driven Decision Making
Making a decision means making the choices that seem to be the best for the organization and acting in this direction while taking into account the financial, environmental, human or even material constraints in order to achieve the objective initially set.
1. Keep unconscious bias in mind
2. Identify goals
3. Gather information now
4. Asking questions about data analysis
5. Finding answers to questions
6. Analyze and extract information
7. Review and evaluate Findings
8. Presenting results It is essential to
9. Goals should be measurable
10. Never stop analyzing
Decision-making: how to integrate it into a software?
Within a software, monitoring decision-making means, among other things, tracing all the decisions taken on a set of “elements”: technical fact, action, task, change request… during these committees and linking them to the information product or project. Thus, during the meeting, it would be possible to navigate to all the information associated with the item reviewed in the repository. It would then no longer be necessary to come with a pile of files hoping not to have forgotten anything!
By creating the actions automatically in the repository, attached to the meeting, they are traced in the system and it is easy to organize the review of these and to follow the smooth running of the planned actions. Similarly, each element (task, action, change request, etc.) retains the history of the commissions through which it has passed. In one click, we can therefore know that such an element has been qualified, validated or rejected during such a meeting and for what reasons.
What are the benefits of integrating decision-making monitoring?
Ensuring the management and monitoring of decision-making brings many benefits:
Gain in quality
Traceability of decisions, identification of responsibilities, vision at any time of progress and the environment of change requests, etc.
Gain in productivity
Capture of decisions directly during the meeting and automatic generation of the report.
Gain in efficiency
Approval of the minutes during the meeting, which avoids problems of non-acceptance following publication.
Easy implementation of reports listing for a person all the requests concerning him and their progress.
One of the key benefits of reporting and decision-making management solutions is that they provide businesses with real-time insights into their operations. This means that businesses can monitor their performance on an ongoing basis and make adjustments as needed to stay on track.
For example, a retail business might use a reporting and decision-making management solution to track sales in real-time and adjust its pricing strategy based on demand.
Another benefit of these solutions is that they help businesses identify areas for improvement. By analyzing data on various aspects of their operations, businesses can pinpoint inefficiencies, identify trends, and make data-driven decisions to optimize their performance. For instance, a manufacturing company might use a reporting and decision-making management solution to track production efficiency and identify bottlenecks that are slowing down the production process.
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