الدخول جرب مجانًا

Follow us

مرحبًا بك في Bookboon

لكي نتمكن من توفير خدماتنا، نعتمد على سلسلة من ملفات تعريف الأرتباط الأساسية التي تساعد مستخدمينا على الاستفادة من على المزايا التي نقدمها.

عرض بيانات ملفات تعريف الارتباط
الفئات الشركات
كتب Professional الإلكترونية

Data Visualization for Growth Conversations

Ideas for Business, Marketing, HR, & Sales Professionals

بواسطة Amy Jauman
43
اللغة:  English
Data Visualization for Growth Conversations provides practical ideas for business, marketing, HR, sales, and other professionals interested in using imagery to share data in a meaningful way.
اشتراك Professional Plus ‏‎‎مجاني‎‎ لأول ‎30‎ ‏يوم‎‎ ثم ‏ $6.99 شهريًا بعد ذلك
الوصول إلى هذا العنوان على منصة bookboon
الوصف
المحتوى
book.tabs.learning objectives

Data Visualization for Growth Conversations provides clear and practical ideas for business, marketing, HR, sales, and other professionals interested in using imagery to share data in a meaningful way. As big data continues to play a larger role in more industries, individuals in every area of expertise are realizing how valuable the information is, how hard it can be to understand, and how important it is that they, in their field of expertise, can present the information in a way that can be quickly and easily understood.

About the Author

Dr. Amy Jauman, SHRM-SCP, GPHR, is a researcher and educator experienced in data analysis and presentation. Combining her formal study and practice in experiential learning techniques with her knowledge of best practices presenting big data, she can present complex ideas in ways that resonate with all audience types, allowing them to interpret the information presented, and make informed decisions. Amy has a master's degree in experiential education, graduate certificate in crime analysis, and a doctorate in organization development.

  • About the Author
  1. What is data visualization?
    1. What data are people interested in?
    2. Why is data visualization important?
  2. Data Collection
    1. Data Collection Tools
    2. Data Collection Best Practices
    3. Data Collection Limitations
  3. Data Interpretation
    1. Terminology
    2. Providing Context for Your Audience
    3. Explaining Limitations and Providing Transparency
  4. Sharing the Story Your Data Has to Tell
    1. Crafting a Meaningful Narrative
    2. Writing an Outline
    3. Selecting the Best Visualizations
  5. Data Visualization Tools
    1. Data Visualization Tools for Every Budget and Experience Level
    2. Making Your Final Choices
    3. Becoming an Expert in Your Data Visualization Tool
  6. Learning from Case Studies
    1. AutoPros Sales
    2. Presenting Marketing Data in a Meaningful Way
    3. How HR Leverages Data to Strengthen Their Organization
  • Conclusion

Identify and communicate important data metrics using suitable visualizations. Explain data collection methods and best practices clearly to peers. Recognize and utilize different data visualization tools for specific purposes. Apply data interpretation skills to real-world business case studies.

اكتب تعليقًا
نبذة عن المؤلف
Amy

Amy Jauman

تعرف على المؤلف
محتوى مُشابِه