Overall Satisfaction with Sigma Computing
Sigma is being used by many departments at our company including Accounting, Finance, Treasury, Cash Management, IT. The data we surface in Sigma allows many different business users to analyze company data without having to request it from internal groups within the company. Historical financial data from the GL is the most heavily used dataset in Sigma and was previously only available by query out of our ERP system. Now people throughout the company can self-service and do their own trend analysis on financial items that relate to their business units. Other departments are loading their own data in Sigma and utilizing Sigma's powerful data shaping technology to analyze and share datasets with other colleagues at the company.
- The ability to slice/dice large datasets and join to other datasets in a very intuitive and easy manner. In other tools (e.g. Excel), the performance would be much slower.
- Create dashboards that can contain many different visual aids that link to different datasets created in Sigma. These dashboards look great and perform really well with large datasets. On a performance basis, Sigma performs better than Tableau with large datasets in my experience.
- Ability to load external datasets and join them to existing datasets in Sigma.
- I'd like to see Sigma improve their ability to create calculations/models using dashboard data to create a high-level sensitivity analysis that end-users can modify to see the results of a change in key variables. I think this would be most useful being surfaced on a dashboard.
- Sigma could improve the way they visually show the design of datasets and all of the joins that the dataset contains in the background. I would suggest some sort of data diagram view that would show all the tables and the joins between them showing lines between the keys that are being joined (similar to Microsoft Power BI).
- Sigma could improve the utilization/organization of hierarchies in their platform. For example, it would be great to be able to create a parent-child hierarchy for certain metadata and allow the end-user to see those relationships and drill-down and drill-up as they use the tool.
- Improved self-service for business users.
- Saved time from having to go back and forth with accounting for actuals data.
- Ability to create new analysis to inform the business on trends affecting profitability.
Do you think Sigma Computing delivers good value for the price?
Are you happy with Sigma Computing's feature set?
Did Sigma Computing live up to sales and marketing promises?
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Did implementation of Sigma Computing go as expected?
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Would you buy Sigma Computing again?
Sigma has allowed business users to get into the company data more quickly and easily compared to requesting offline manual data dumps. It has allowed our groups to analyze historical trends in a self-service way and come to conclusions much faster. This has allowed many finance groups to improve their forecast accuracy.
Sigma has improved our ability to conduct iterative ad hoc analyses because we now have access to all the ERP data and it's easy to surface. It doesn't require the time of someone else to pull the data repeatedly and avoids the back and forth that would of hampered these analyses in the past. The self-service aspect has been a huge improvement.
Joining large datasets from your company's ERP or other internal systems is a great use case for Sigma. This will allow people within the company to analyze historical trends in the data and inform the forecast. I'd also recommend using Sigma to create visual dashboards for higher-level executives. This tool seems to have the best performance when it comes to large datasets. I don't think Sigma is in the position to replace ad-hoc analysis done in Excel that requires the maximum level of flexibility with the ability to modify formulas easily on the fly. The formulas in Excel are also much more extensive and are much better for sensitivity analysis.