G2

sanfiya p.

Research Executive II

Mid-Market (51-1000 emp.)

1/27/2023

"Efficient tool to process data in Real-Time"

4/5

What do you like best about DataCanvas?

DataCanvas is helpful in Real-time and offline business analytics. The main advantage of using DataCanvas is the User Interface is very smooth and friendly. The Data Scientist with Python knowledge can draw valuable and informative insights from DataCanvas. The modification can be made to the million of rows of data with ease using this tool. Review collected by and hosted on G2.com.

What do you dislike about DataCanvas?

Nothing to dislike so far - DataCanvas can be further improved to provide weekly, monthly and yearly basis analytics to any specific projects that runs for lifetime. Review collected by and hosted on G2.com.

What problems is DataCanvas solving and how is that benefiting you?

We do analytics on daily basis. DataCanvas play a critical role on it. The research project we conducted to analyse the recent trends in the talent market across various locations helped us to figure out most beneficial insights using DataCanvas. We gathered data from various sources. For instance, the population of specific location from various government portals, graduate data from various university websites, and the current location and designation of the talent from their public professional platforms. So, that the data are uneven and of different formats. The data analytics features in this tool helped us to process these data and gain evident insights. We can aslo be able to visualise this data and process these data in Real-time. The insights helps us to get the clear view of talent market and the possible growth of domains across various locations. Review collected by and hosted on G2.com.