Dataleum
Dataleum

@dataleum

12 Tweets 3 reads Aug 15, 2023
When presented with a Data Analytics project, put on your interrogation cap, and ask for details about the client's expectations.
The trick to an impressive report is to ask questions, but asking the right ones!
These questions should help!πŸš€
A Thread πŸ§΅β€¦
1) What is the main goal of creating the dashboard?
Understanding what the client needs to see at the end of the project is key to ensuring you don’t waste both your time and their time.
2) Are there any specific metrics or key performance indicators that need to be included in the dashboard?
Getting details of the data sets linked to the project will give you a clearer vision of how your dashboard supports the project's performance.
3) Are there any existing dashboards or reports that the new dashboard should be modeled after or integrate with?
Give your client the chance to share what they may have in their backpocket – it could well end up saving you all time.
4) What is the source of data to be used for this report?
Giving your client the opportunity to show you what data sources matter most to them will help the end product come to life faster. When you have all sources in hand, you are well-equipped to bring the dashboard to life.
5) What is the expected time frame for the project?
Time means money!
Setting clear deadlines will give you the best chance to stay aligned on the project timeframes.
6) How will the dashboard be accessed (e.g. desktop, mobile, web)?
Find out how it will be accessed so you don’t waste time building it for the wrong entry point.
7)Are there any security or privacy concerns that need to be addressed?
Get all the nitty gritty stuff out of the way early on to avoid any risks/ issues later down the track.
8) Will the dashboard be integrated with any other systems or platforms?
If so, which ones?
The more you know, the better solution you can provide around the needed integrations.
9) What is the expected return on investment for the dashboard?
Knowing this will help you to manage their expectations with reality.
10) Are there any specific performance or scalability requirements for the dashboard?
The more you know about their future goals, the better equipped you are to build to their demands.
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#DataAnalytics #data #Datavisualization #bigdata #DataScience

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