Read the 5 Content Ideas below, pick one topic name and email it to vikram@73bit.com OR you can share it with me on LinkedIn message
Read the 5 Content Ideas below, pick one topic name and email it to vikram@73bit.com OR you can share it with me on LinkedIn message
This will be a pure technology play book of the diffrent data visualization techniques. The source can be our Global Corporate Sustainability List with over 700 intiatives in it. The output will be a report with 10 insights on Data Visualization
I think this will be useful for Enthusiast, Practitioner, and Leader
An overall data story using a dashboard. The source again can be from the above list. We can also explore other source from the industry. The output will be a Dashbaord Review.
I think this will be useful for Enthusiast, Practitioner, and Leader
The Sustainability Machine Learning case studies will help the community learn an example of an ML Project in the space. This will be an exploratory work with information about a project and its outcome. The output will be a case study with links to references.
I think this will be useful for Enthusiast, Practitioner, and Leader
Discovering integration of multiple sustainability datasets from diffrent organization. Finding out thier method of collabration for data integration. The output will be casestudy with data example of successful integration.
I think this will be useful for Leader
This will be an analysis of the 700+ initatives we already have and document the diffrent style of scoring methodlogy in one place. The output will be a breakdown of Scoring Methology.
I think this will be useful for Practitioner and Leader
The objective of this article is to find 10 like-minded founding memebers who are in same group and pick a same topic from the above list. If you are intrested in receiving valuable content every fortnight please email me at vikram@73bit.com and tell me your content topic out of the above 5.
In case I don't get all my founding before our content publishing dates which is 2nd and 4th Thursday of every month I will pick the topic which has maximum votes. If you like the idea please click the like button below and also share this with your collegues.