What do you do if your confidence is affecting your decision-making in Data Warehousing?

Start with smaller, low-risk tasks to build confidence. Focus on tasks that matches with your strengths. Achieve small successes will be boosting confidence.

Actively seek out feedback from colleagues, stakeholders, or domain experts. Engage in discussions and encourage diverse viewpoints. This can help you gain a broader perspective and challenge your assumptions.

If confidence issues affect decision-making in Data Warehousing, consider the following steps: 1. Seek Feedback: Collaborate with peers to review your decisions. 2. Small Wins: Start with smaller, low-risk tasks to build confidence. 3. Knowledge Upkeep: Stay informed about data warehousing best practices. 4. Mentorship: Find a mentor for guidance and perspective. 5. Reflect: Analyze past successes to reinforce your decision-making skills. Remember, confidence grows with experience and knowledge.

In my opinion, seeking mentorship from professionals/companies who have experience in the areas where you have a gap can be incredibly helpful. Seeking honest feedback from peers in your work will help you identify your main skills, both soft and hard, that can be improved. From there, you can create a plan to address the areas that make the most sense for you.

It's necessary to seek honest feedback and take it as constructive criticism. Look for feedback from people with whom you have a relationship of transparency and respect. Based on this, have the maturity to listen to the points that will be brought up by your colleague and work on them; improve your approach. Communication should flow smoothly, and you should gather feedback as you implement solutions to track your progress on each of the issues. Continuous feedback is the key word here.

Always strive to stay updated with the market, maintain a good network, and observe what your colleagues are implementing. Test new technologies and hypotheses, participate in lectures and discussions within the communities you engage with. If you're not part of any community, you should seek one out to start interacting with different perspectives on the topic. The daily grind tends to consume and cloud our vision; interacting with people who have had different experiences will make a difference in your results. Learning from mistakes already made by colleagues and avoiding them can save you time and accelerate your development, absorbing experience efficiently!

If your confidence is affecting your decision-making in Data Warehousing, a brief advice would be to diversify your strategies. By exploring a range of methods and technologies instead of relying on a single approach, you can mitigate the risks associated with overconfidence. This approach creates a flexible framework that can adapt to various scenarios and challenges, fostering an environment of experimentation and critical evaluation to prevent complacency.

Always explore different ways of performing the same tasks. Innovation often involves doing the same task differently, correcting process flaws, increasing efficiency along the way, and applying the various lessons learned throughout the journey. Innovation isn't about reinventing, but rather about doing the same activity better and renewed, updating your delivery to add more value, and incorporating new ideas. This in itself represents a variation in strategy with innovation!

Data in a Data warehouse is usually an aggregation from multiple data sources and streams, hence understanding the data lineage, aka the data journey from it’s source to destination is crucial and a prerequisite for establishing trust and confidence in data integrity and quality, subsequently the quality of decision made on top!

Relook at the problem statement, make adjustments based on the recent findings and reassess the facts with changes made to the problem statement. These iterations would build confidence and help you make better decisions