Altair SLC vs. GoodData

WPS Analytics allowed our company's business users to keep using their existing programs while getting similar results with much less learning time. It's a great accomplishment when software for business users is changed—excellent relationships with providers and other salespeople. As a SAS user, I needed an interpreter for the SAS language, and WPS has more packages and a lower price than any other company I could find, so I decided to go with
it.

Incentivized

If you have consistently formatted data, that you want regular reports on, plus flexibility to let end users build their own reports, GoodData is perfect. Especially if your end users are less technical. If you want to be able to embed your reporting into your app, GoodData excels, though the start up process can be involved. If your data structure varies, it could be more challenging to integrate. It may also not be worth the integration if you have people who can already run their own SQL queries.

Incentivized

• WPS Analytics is powered with high performance data processing engine.
• Reusable data models save finances and time.
• Self-service data analyzation portals.

Incentivized

• GoodData provides advanced analytics for predictive modeling. This assists in identifying potential issues before they arise, and making proactive decisions.
• GoodData prioritizes data security and compliance, providing features that help IT firms like ours adhere to regulatory requirements.
• GoodData gives high customization dashboards, allows us professionals to create tailored view of KPI.

Incentivized

• Currently, I barely encounter challenges when using WPS Analytics although I don't use it on a daily basis. There's no functionality or feature that needs more improvement.

Incentivized

• Good Data is already have certain customizable options. However, having more flexibility in customizing reports and dashboards & control over the visual aspects would enhance the overall user experience.
• To make Good Data even more powerful tool, improving the speed and responsiveness of the tool, especially during data-intensive tasks, would be a significantly helpful.
• For new users, the interface can be made more user friendly which would promote easy navigation through features of tool.

Incentivized

Because gooddata really helps us in processing data to make reports or dashboards. So we are very satisfied when we use it. What we like is the flexible use of charts. We change at will the use of charts to display in reports or dashboards. Thank you Gooddata for helping companies like us who need flexibility in usage

Incentivized

From my experience, overall usability of GoodData platform is great very easy to use, but there is still few features as GoodData platform and interface continuosly evolves, which are not yet available within user interface, but only available via API. For regular users all main and key features and tools are perfect, well defined and very easy to use.

Incentivized

We are approximately one month since go-live. There has been one short outage.

Performance on refreshing metrics works well.

Support team has been highly responsive and helpful from our first initial deployment to present day. They engage and work with us. know when to escalate for more challenging problems. They also follow up. Overall have had a very good experience with support

Incentivized

Petr was a rock star - patient, knowledgeable, clear and easy to work with.

GoodData implementation team was professional and courteous

Thorough, professional and on time.

I use a lot of data discovery and visualization tools at workstations to help me gain deep insights into data. WPS Analytics doesn't vary much from all the DVD tools that I have listed, I always go for the best.

Incentivized

GoodData is best among every other platform I used because it's a cloud based platform and way to easy to use. Its robust predictive analytics and unified data view set it way apart. While Power BI and Tableau excel in visualization, GoodData's focus on comprehensive business intelligence, user engagement analytics, and revenue optimization which made it a strong choice for our organization seeking a holistic analytics solution.

Incentivized

• Using machine learning and natural language to analyze data saves time and effort.
• Standard reporting and business intelligence help us reduce workload and make data-driven decisions.
• Drag-and-drop workflow saves time when different languages like SQL and SAS make it easier to code and prepare data.

Incentivized

• We have been able to quickly go to market with a feature-rich version of our application.
• The licensing costs are manageable but make our offering more expensive than alternatives.
• The possibility to horizontal scaling with Kubernetes is a bright outlook for our business.

Incentivized