You want to improve your Business Intelligence (BI) skills. What feedback should you be asking for?

A mon avis, c'est une erreur de demander l'avis des parties prenantes "après" avoir mis en place une solution BI. Il faudrait plut?t impliquer les parties prenantes avant même la conception du projet. Grand nombre de projets BI échouent exactement pour cette raison précise. Il sera beaucoup plus aisé et moins co?teux en terme de temps et d'argent, de construire une solution qui corresponde aux besoins des parties prenantes en récoltant leurs commentaires à priori que de tenter d'ajuster une solution à posteriori. En fait, il est impossible de démarrer un projet BI sans comprendre d'abord les besoins des parties prenantes. De même, il sera préférable de débuter avec un prototype léger pour s'assurer que les besoins ont été bien compris.

- Accuracy and Relevance of Insights: Ensure insights align with business objectives and are actionable. - Data Interpretation and Visualization: Seek feedback on presenting findings clearly and visually. - Technical Proficiency: Assess your proficiency with BI tools and platforms. - Problem-Solving and Critical Thinking: Evaluate your ability to derive insights and propose solutions. - Communication and Collaboration: Improve communication with stakeholders and collaboration in teams. - Continuous Learning and Development: Stay updated with BI trends and seek opportunities for further learning. By soliciting feedback in these areas, you can identify strengths and areas for improvement, leading to enhanced BI skills and professional growth

?? Seeking to turbocharge your Business Intelligence (BI) skills! To elevate your game. Here's the game plan: ?? Feedback Focus: - Data Interpretation: Asking for feedback on my ability to interpret complex data sets. - Visualization: Seeking guidance on enhancing data visualization techniques. - Problem-solving: Requesting insights on improving problem-solving through BI. ?? Action Plan: - Engage Mentors: Connect with BI experts for guidance and mentorship. - Skill Refinement: Invest time in online courses to refine BI techniques. - Practice Makes Perfect: Regularly tackle real-world BI challenges to hone skills. ?? Let's elevate BI together! Input appreciated.

To improve your business intelligence skills ask your stake holders what they value most in the visualizations of the data both at micro and macro level. At the end of the day your consumer decides what is good, bad, or indifferent. Work in an iterative way revealing prototypes and gain feed early so you an ultimately fulfill the needs of your constituents.

To improve your Business Intelligence (BI) skills, seeking feedback from various sources is crucial. Firstly, ask for feedback on your technical skills, such as data analysis, data visualization, and proficiency with BI tools. Request input on the clarity, accuracy, and effectiveness of your reports, dashboards, and visualizations. Additionally, seek feedback on your problem-solving abilities and critical thinking skills when tackling complex BI challenges. Ask for suggestions on areas for improvement and opportunities for further skill development, whether through training, self-study, or hands-on experience.

The valuable insights into the quality, efficiency, and creativity of BI processes, methods, or code provide peer feedback. The feedback can help in providing constructive criticism and identify areas for improvement that may not be apparent from an individual's perspective. While seeking feedback from stakeholders, it is beneficial to inquire about the effectiveness of BI methodologies employed, the efficiency of data workflows, and creativity in problem-solving approaches. Additionally, asking for suggestions on optimizing code, enhancing data visualization techniques, or streamlining data manipulation processes can lead to continuous improvement and innovation within the BI team.

"Com base na em sua experiência em planejamento estratégico, estudo profundo de análise de dados em séries temporais e prática em cálculos estatísticos, você consegue identificar oportunidades de forma mais eficazes ao analisar conjuntos de dados. Essas habilidades combinadas te capacita a obter ideias e orientar as decis?es estratégicas com maior precis?o." Conforme esse feedback, entende-se que tratar e consumir dados s?o habilidades específicas que exigem dedica??o e compreens?o do contexto. Enquanto tratar os dados envolve manipula??o e análise, extrair as informa??es requer uma compreens?o profunda do contexto que s?o aplicadas.

1. Data Quality and Relevance: Inquire about the accuracy, completeness, and relevance of the data you're using. Ensure that the data sources provide the most up-to-date and relevant information for your analyses. 2. Data Integration and Accessibility: Seek feedback on how well your current tools and methodologies integrate various data sources. This includes understanding any limitations in accessing or combining data from different sources. 3. Data Interpretation and Reporting: Ask for input on how effectively you interpret and report data findings. This includes the clarity of your data visualizations, the appropriateness of the metrics used, and the overall insightfulness of your analyses.

Feedback from data sources is essential for ensuring the availability, reliability, and validity of data. Asking for feedback from peers makes it crucial to assess the frequency, format, and scope of data acquisition processes, especially from extraction, load, and transformation. When seeking feedback from data sources, questions could revolve around the timeliness of data delivery, the compatibility of data formats with BI systems, and the comprehensiveness of data coverage. Additionally, requesting inputs on data quality issues and opportunities for expanding data sources can enhance the robustness and completeness of BI datasets.

Feedback from your tool is crucial for optimizing features, options, or settings to maximize their utility and effectiveness. Your tools and software that help you perform your BI tasks, such as data analysis, visualization, or modeling can be effectively utilized to provide great results. Users should inquire about the usability, performance, and functionality of BI tools to ensure they meet their analytical needs. Questions could focus on the ease of navigation within the tool interface, the availability of advanced analytical capabilities, and the flexibility of customization options.

Self-reflection and evaluation are essential components of continuous improvement of BI skills. It will help you regularly assess your performance, and identify areas of strength and weakness to develop an action plan for skill enhancement. While seeking feedback, one must reflect on past successes and challenges, evaluate skill development progress, and set realistic goals for future growth. Questions to ask oneself may include what areas of BI expertise are most impactful, what learning resources or training opportunities are needed to fill knowledge gaps, and what strategies are implemented to enhance productivity and efficiency in BI tasks.

In such a vibrant and fast-moving environment such the field of business analytics, it is crucial to give yourself time to reflect on your work and actively seek feedback from your colleagues, clients or manager. Thereby you should ask specific questions that will return qualitative feedback. This will help you to improve your work and align it with their requirements. To generally level up your BI skills I highly recommend to get involved in a BI community. Be curious, try news things and seek feedback on your BI approaches. By this you gain new perspectives and your tool & skill set will advance.

Primeiramente, agrade?a pelo feedback! é sempre valioso receber opini?es sobre oportunidades de melhoria. Encaro essas sugest?es de forma positiva, pois sei que s?o oportunidades para melhorar minhas atividades na área.