By analysing data, solution to any problem can be security through findings, interpolation and predictive models. Knowledge of data science is spreading with number of software packages in the area which can be studied and adapted

To effectively use data in problem-solving, start by clearly identifying the specific challenge you're facing. This could be anything from mental health management to substance abuse. Determine who is affected and in what ways, considering both direct and indirect impacts on individuals, families, and the community. By defining the problem clearly, you focus your data collection and analysis efforts on the most relevant areas. This approach helps in avoiding the collection of unnecessary or irrelevant data, ensuring that your resources are utilized efficiently in creating meaningful, data-driven solutions.

Cleaning the data should also be an integral step before proceeding to data analysis You wouldn’t want skewed results leading to misleading insights which could lead to some actions but might not be effective enough or at all given the use case. Ensure you Clean your data first! The cleanliness of your data is dependent on the use case so study the problem and objective of the analysis well and also have good standing on the domain knowledge.

It is important to incorporate both internal and external reviews in evaluating outcomes. An outside evaluator provides an objective analysis, crucial for measuring the effectiveness and efficiency of our solutions against our initial goals and baseline data. Their unbiased perspective helps identify strengths and weaknesses that might not be evident internally. An internal review allows for a deeper understanding of the project's nuances and immediate impact. It fosters a sense of accountability and continuous improvement within the team. The dual review process ensures transparency and credibility in reporting findings to clients, stakeholders, and colleagues, enhancing the overall impact and sustainability of our solutions.

Data can be helpful when you are exploring solutions. But it depends. Here is the flawed part of the data; it doesn't give you what is causing the spike in numbers. If you are in behavioral health, here is what needs to be checked: The underlying cause of Spike and any other related issues causing the increase in the numbers. Case management is composed of investigative. If you want to prevent the rise in statistics, then it warrants an investigation.