ماهو تحليل البيانات

 First of all I'm going to say this 

Due to the high number of requests, this article has been translated into English with God's help. I hope it meets your satisfaction. Thank you for your trust in us.

  Data analysis is one of the most important skills demanded by employers. Now more than ever, with the digital age and the vast amount of data that we gather daily - employers are seeking employees who can handle complex problems using data analysis. Make sure to sharpen these skills in your daily life.

There is no shortage of data in our digital world today . In fact, every day, we are inundated with new information and knowledge that must be absorbed, processed, and analyzed in order to make decisions. And there is no place more than the workplace. How is this managed? Technology, of course. This means that technicians who understand data and can create solutions to manage it will be in high demand as long as our world is digitally connected.

And this is why analytical skills - your ability to visualize and illustrate information or concepts based on available data - have become more important today than ever before. Honing your skills in analytical thinking will set you apart wherever you are in your professional life.

Simply put, analytic thinking is a type of visual thinking. It involves a methodical step-by-step approach that allows you to break complex problems down into individual manageable components. It's your ability to assimilate information, see patterns, and apply techniques to determine what's important versus unimportant - and discern what it might mean for your business. And your career path. As a technician – you have the ability to move forward in that and create solutions using technology.

Basic data analysis skills will increasingly define success in every kind of job, role, and professional function in our digital workplace.

In fact, some recent studies have revealed that 82% of employers and business leaders place data analysis at the top of the list of key attributes in terms of driving competitiveness.

So, what can you do to increase your analytical abilities - and your professional life, in the process? 

Hone your data analysis skills.

 Let's start with the basics. While the word "analysis" can conjure up itself all kinds of connotations - a lot of hard work, mental prowess or effort - in fact, we use analytic processes to a large extent all the time, and most times we never realize that we are doing so.

The plan, analysis or conclusion model - or (Probably approximately correct learning) PAC - is a kind of framework that can be used in any situation to conduct a comprehensive and purposeful analysis.

PAC consists of the following straightforward steps:

1- Planning - Determine what you need to do. Whether you are buying cloud software solutions for a secure network or making a strategic decision that will affect your company, try to clarify the question and make a decision on your approach.

2- Analysis - This is when you collect all available information. What do you know? What can you understand from the data? What do your options look like?

3- Conclusion - Once all your information has been collected and evaluated, it's time to draw conclusions. Which of the options will achieve the best outcome? You are now advancing and presenting your recommendations and reporting your findings.

 Quantity vs. Quality

When collecting your data, you will need to know the type of data so that you can analyze and evaluate the information you have.

Data is usually divided into two types: quantitative and qualitative. These are somewhat easy to distinguish.

- Quantitative data, is information that can be expressed numerically. So, things like prices or profits, sales reports, and the number of successful connections on the network are all quantitative.

- Qualitative data, is information that you evaluate for meaning - often using words for explanation. This type of data is often collected in surveys, interviews, or field research.

Think of it like this:

- Quantity is "how much?"

- Quality is "why is this?"

When analyzing data, you will need to evaluate both types.

Improve your analytical skills on a daily basis 

Cognitive skills are the key to advancing in your professional life and company. But what can you do to sharpen them? 

Well, there are actually a range of really simple things you can do daily that will boost your cognitive functions that are easy to perform.

Take reading, for example. The next time you have a book or newspaper in front of you, practice some active reading. Unlike passive reading, active reading means questioning what you're reading. Ask yourself why the author reached some conclusions. In this way, you are activating higher brain functions and allowing yourself to think in new ways.

Walking - yes, walking - is another way to stimulate your cognitive skills. Take a stroll and try to use all your senses to the fullest. What do you see? What do you remember? Try to jot down as many details as possible after the walk. You might be surprised at what you can recall.

Games like Sudoku or chess or backgammon can help build mathematical and strategic abilities. Plus, playing has the great advantage of being fun.

And talking to others - meeting new people - is an opportunity to learn new things and gather information, while honing your interpersonal skills at the same time. Ask questions, explore alternative viewpoints, and consider different approaches.

Improving your analytical skills will help you dismantle complex information and streamline problem-solving processes - important skills in today's job market.