So far, happy!
October 02, 2020
So far, happy!
Score 7 out of 10
Overall Satisfaction with Sigma Computing
Sigma Computing is used most often by our Mintel Futures team. I believe it is used to host and run a dashboard to make our GNPD (global new product database) data making it easy to read and manipulate. My team (consultancy) uses this aggregated data to shrink project development time and decrease potential error.
- I believe it continues to shrink project build-time and increase what we are able to offer.
- Boosts project confidence
- Decreases data frustrations
Even being distant from the Futures Team, I am able to step in and analyze the dashboards and make changes as if I were a pro. It seems fairly easy to understand even if you aren't trained in extensive platform building or data architecture.
I have not been in contact with anyone for support. I would assume it is very good though! I know that our futures team seems to speak very highly of everyone on the Sigma team. While I personally haven't experienced it, I know that there aren't any complaints on our end.
Absolutely, I think all of my other responses speak to this, too! The tool has made it possible to put all of the different types of data Mintel tracks, but specifically new product data, in one place that is easy to read, understand, and change. This has made it possible for my team to spend less time working on creating a "story" looking through endless Excel spreadsheets of data while also reducing potential error.
So a lot of the consultancy work my team does is very custom, so unfortunately I do believe we are not using the visualizations as much as we could be/should be. Most of the time we use what is in the dashboard to create something new rather than using it as it is. That is something I can start pushing for though!
This feature made it easy for the Mintel Futures team and the Mintel Consultancy team to work together in the same data and make changes in (almost) real-time. Separately, I know that the futures team specifically benefits from this. I do expect it to role out to the larger team eventually which would be so beneficial to any employee who touches GNPD data.
Our GNPD system is painfully slow, this made it possible to slice and dice data without watching a spinning wheel for hours. Looking at the dashboard and filtering the options takes very little time and is very easy to use and adjust. This has made our consulting projects take less time, and in turn, increase our project margins.
I think it is perfectly well suited for any business that houses large aggregates of data from multiple sources (e.g., product data, consumer data, trend data). If you're trying to build a story, having the data in a place that is easy to read and limits the amount of potential error is huge.