

Find out in this report how the two AI Finance & Accounting solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
On average, we're saving about 10 to 15 hours per project.
I have seen a return on investment, specifically with increased data science productivity by four times, time saved with deploying models, and homogeneous analysis models developed easily.
Month-end close and management reporting are now about 40 to 50% faster than before, largely because reporting is real-time and dimension-driven instead of being spreadsheet-heavy.
Previously, I required multiple employees to enter transactions, but now I accomplish this with fewer people.
Sage Intacct is user-friendly, meaning all the employees working on Sage Intacct are recording everything needed for our daily work.
They answer all my questions and share guidance on using DataRobot scripts if certain functionalities are not available in the UI.
Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.
The customer support from DataRobot is proactive and responsive.
When I reached them via email, they connected with me, and we went on a call where they helped me customize the report and manage reporting from the top level.
Customer support for Sage Intacct is excellent, and whenever I face any issue, I find them ready to help, which is really beneficial.
We needed assistance mainly for setup questions and clarifications on features or specific reporting challenges.
DataRobot's scalability is very strong and grows with my organization's needs.
It provides scalability for growing data and a user-friendly environment that helps users work smoothly.
Sage Intacct handles growth and increased workload well, and it never crashes, which is a big plus.
They continue to add new releases every quarter with new features and enhancements, making the scalability pretty safe.
DataRobot is very stable.
Its high availability, because it is cloud-hosted and managed by Sage on AWS, ensures reliable service with minimal interruptions.
It is not 100% stable.
Sage Intacct occasionally experiences lag while we are working online.
DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python.
There is a lack of transparency in the models; sometimes it feels like a black box.
Another improvement that DataRobot needs is integrating the capability to modify the whole pipeline with Python.
Deeper out-of-the-box integrations and clear setup guidance would reduce implementation time and reliance on third parties.
I think they should implement some thresholds or flags to identify when approval is not needed.
The ability to perform lien waivers and invoices in bulk, as well as improvements in inventory management, could enhance the system.
The setup cost was minimal because it's cloud-hosted, eliminating the need for heavy on-premises infrastructure, allowing us to start using it immediately after purchase.
My experience with pricing, setup cost, and licensing reveals that the price points can be improved and DataRobot is not so cost-effective, especially for smaller organizations.
Licensing is modular, so we paid for the core financials and added specific modules we needed, which helped keep costs aligned to our actual use.
the pricing, setup cost, and licensing for Sage Intacct are well-suited for users, as they offer good value for a well-featured software.
My experience with Sage Intacct's pricing, setup cost, and licensing is that it is somewhat slow and expensive.
By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.
DataRobot has positively impacted our organization in many ways. First, it has improved efficiency; tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours.
When business leaders ask for the fastest possible solution, DataRobot is our go-to platform.
The import functionality helps because once I download the template from Sage Intacct, I can fill out the specific columns with the data that I need to import into the system, and it will do the work instead of adding those details manually.
Intercompany reconciliation stands out as a specific outcome I noticed; since both companies are under the same Sage Intacct account, we could perform intercompany reconciliation without manual intervention, highlighting an improvement.
The accuracy of accounting has improved by nearly 95%, and we save about three days of manual effort to prepare financial statements.
| Product | Mindshare (%) |
|---|---|
| Sage Intacct | 1.2% |
| DataRobot | 1.7% |
| Other | 97.1% |


| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 7 |
| Large Enterprise | 6 |
DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time.
Sage Intacct serves as a cloud-based platform providing users with efficient multi-entity management, seamless integration, and flexible reporting capabilities.
Sage Intacct offers a robust cloud-based ERP with features tailored for accounting needs. It enables efficient financial management with tools that simplify data import and entity model creation. Users appreciate its ability to provide centralized report access across entities while maintaining a flexible reporting structure. The system supports tracking grants and expenses without infrastructure concerns, yet some seek improvements in mobile integration and training.
What are Sage Intacct's key features?
What benefits and ROI should users seek?
Sage Intacct is implemented across diverse sectors, including healthcare and retail, where it supports ERP, salary scheduling, and franchise management. It helps nonprofits with accounts payable, receivable, reconciliation, and intercompany transactions. Users benefit from enhanced reporting abilities and KPI dashboards, especially when integrating dimensions and API tools.
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