Data analysis/data visualization questionnaire

I run an accounting practice and we currently use a couple of data visualization tools already and serve some clients in this space. I am co-hosting an education session for some local accountants about Data Visualization and Data Analytics and would like some industry insight to help me deliver a resourceful training session to the attendees.

These attendees are wanting to understand the Data Analytics / Data Visualization world better and a list of questions have been prepared which I would like to collect responses from other professionals in the industry. The attendees are servicing customers from micro medium sized businesses, so please tailor your responses accordingly.

I expect responses to be comprehensive with multiple examples/responses given where possible

1. What is your background in the data analytics / data visualization space
   
2. Can you explain data analytics & data visualization to me like I am someone who has no prior knowledge?
   
3. Can you describe some simple case studies of how you have helped your customers use data visualization to solve business problems (please pick something which is commonly requested and popular.
   
4. What makes a good metric to analyze? (comparative,understandable,a ratio or a rate, changes the way you behave)
   
5. Whats best practice when it comes to designing visual dashboards? Size, Language, Color
   
6. What are the current challenges in data analytics and visualization space faced in Accounting Practices and SMEs, and what key steps might someone take to overcome these?
   
7. Can you talk to the importance of clean uncontaminated data...
   
8. What thoughts do you have on pricing Data Analytics / Data Visualization as a profitable service within an accounting practice?
   
9. What technology tools do you recommend for the micro business through to medium size enterprise?
   
10. How do you access and collate hard to access data?
    
11. What non-financial data can be used to help stakeholders achieve their goals?
    
12. How do you best meet the varying demands of stakeholders when they all have different needs?
    
13. If Data Analytics and Data Visualization could be fully automated what human skills would optimize the outcome?
    
14. How are your SME customers using the Data Analytics & Data Visualization outcomes to influence decision making within their business?
    
15. How do you access data that is difficult to access?
    
16. Are there perils to being too data driven?
    
17. What and how much can the stakeholders self serve themselves in terms of accessing the visuals?
    
18. Whats one practical tip you have for an accounting practice who is keen to embrace Data Analytics / Data Visualization but has never offered it as a service offering before to their clients?

About the recuiter
Member since Mar 14, 2020
Shivani Aggarwa
from Gegharkunik, Armenia

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