Wie geht man am besten mit einem Vorgesetzten um, der sich nicht an die richtigen Datenanalyseverfahren hält?

If you notice your supervisor not following the right data analysis procedures, it's important to address the situation carefully. First, try to have a private conversation with them, explaining your concerns politely and providing specific examples. Offer to help or suggest ways to improve the process together. If that doesn't work, consider discussing the issue with a higher-up or someone in the company responsible for handling such matters. It's crucial to prioritize the accuracy and integrity of data analysis for the benefit of the team and the organization. Always approach the situation with a solution-oriented mindset to foster a positive and constructive resolution.

As data analytics plays an ever-increasing role in guiding and informing strategy, the 3Rs of data- reliability, replicability and robustness- are becoming more important as well. These principles help to improve trust in results of data analysis and reduce bias. Imagine you're working in a company that manufactures glass jars. While compiling a customer satisfaction report, your manager only includes reviews from enthusiastic customers, and filters out anything remotely negative. This is a clear case of data which is not reliable, since it represents a skewed version of reality. A reliable report would have included all the customers, even if their reviews were negative. Such a report will help in enhancing product quality.

If your boss isn't doing data analysis right, here's what you can do. First, find out what's wrong, like using the wrong methods or getting data mixed up. Show proof of the mistakes and check what the company says about doing data analysis. Talk to your boss about it, give examples, and be nice. Offer to help by suggesting training or sharing resources. Think of ways to fix the problem, like checking the work more often. Keep the talk friendly. If things don't get better, you might need to talk to higher-ups or ask colleagues for advice. Write down what's happening and what you've tried to do. The goal is to make data analysis better without causing problems at work.

Dealing with a supervisor neglecting proper data analysis involves tact. Start by respectfully expressing concerns, highlighting the benefits of correct procedures. Offer to assist, showcasing your understanding and willingness to contribute positively. If unresponsive, gather evidence showcasing the impact of inaccuracies on outcomes. Consider involving higher management if it persists, presenting the issue constructively with proposed solutions. Focus on collaboration rather than blame, emphasizing the importance of precise data for informed decision-making and overall success.

1. Transparent and respectful communication is the key 2. Collect as many incident reports as possible- data can reveal interesting patterns and actually help support difficult conversations 3. If the other person is still not ready to budge, ascertain the gravity of the situation. 4. If its detrimental to the organization, escalate it to your super superiors. Remember highlighting and fixing the issue is important, not playing blame games! 5. Use this as an opportunity to proactively establish processes to avoid such instances in the future.

Talking nicely and being clear is really important. Use simple words, especially when talking to people who might not know all the technical stuff. Listen carefully to what others say, and try to understand their point of view. Keep things positive, avoid being mean, and use pictures or charts if it helps explain things. If there's confusion, ask questions. Encourage others to share their thoughts, and respond quickly to messages. Write down your analyses clearly so others can understand. If someone has concern, deal with them calmly and show proof. Say thank you to team for their hard work, and always be open to learning new things. Being respectful in how you talk and work with others makes teamwork better and helps data projects succeed.

When you talk to someone, be nice and use good manners. Listen when they talk, even if you don't agree. If you have a different idea, share it in a friendly way. Everyone has different thoughts and experiences. If there's a problem, try to find a solution together. Speaking nicely helps everyone feel good and get along. It's an easy way to have good conversations and make friends.

When there's a problem, it's good to think of ways to fix it. One solution is to talk to others about the issue and see what they think. Maybe you can work together to find answers. If it's something you can do on your own, break it into smaller steps to make it easier. Don't be afraid to ask for help if you need it. Finding solutions means coming up with ideas and trying them out until you find what works best. Remember, problems are just things you can figure out, and finding solutions helps things get better.

From my workplace experience, you can be right in the topics, however you can't achieve what you want without a right feedback communication style. Keep an neutral tone of voice while express your view supported with factual information. Express empathy in your everyday with supervisor and even other individual. Building the trust is the best way to get your idea accepted and make changes within the organisation

If you've exhausted all avenues in addressing a supervisor who disregards proper data analysis procedures, it's crucial to reflect on whether this environment aligns with your values. Consider if the behavior raises ethical concerns that conflict with your principles. If this is the case, it may be time to seek a different work environment. Additionally, evaluate whether the current environment fosters your learning and growth. If the situation inhibits your development and there are no opportunities for improvement, it's advisable to explore other career prospects. Recognizing and addressing these issues early can help prevent undue stress and potential burnout, allowing you to prioritize your well-being and career advancement.

If you want to be good at data analysis, keep learning and growing. Learn the basics like cleaning data and using tools like Excel and SQL. Take online classes to get better and stay updated on what's new. Practice with real data and talk to other data analysts. Ask for feedback from your work friends and think about learning related stuff like machine learning. Join contests, read books, and go to events to learn more. Make a collection of your projects to show what you can do and always do things the right way. Face challenges, stay curious, and keep going on your journey of learning and growing as a data analyst.

Approach it like a diplomat: Tactfully and constructively. Start a conversation focusing on the data and its integrity, not personal critique. Suggest a review of best practices as a team learning exercise – think of it as a group check-up rather than singling out. Offer to lead a workshop or share recent findings that highlight the importance of correct procedures. Framing it as a shared goal for accuracy and excellence can turn a tricky situation into a team-building opportunity and a chance to showcase your own leadership potential. Focus on improving the process, not pointing fingers. 🤝💼📊