Phocas Business Intelligence vs. SAP Data Intelligence

If you would like your data in one place with easy access, this is the software for you. You can have data from multiple systems and bring it into one view so that you have a quick and easily visible dashboard for the data you wish to see.

Incentivized

In the two organizations that I have used SAP Data Intelligence, it has been effective in managing data operations. SAP Data Intelligence is the most robust data integration and management solution that I have ever come across. I would highly recommend this service to all prospects that are looking to create, execute and reuse data models at ease.

Incentivized

• Custom reports are simple to create.
• The ability to manage users and their dashboards is solid.
• Easy to navigate web interface makes the software accessible from anywhere.

Incentivized

• It integrates well with our current ecosystem of SAP products, like HANA.
• It provides end-to-end machine learning operations, with tools for the complete model life cycle.
• It has a simple user interface for novice users, with complex tools also available for power users.
• It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality.
• It can run in the cloud, no on-premise software management needed.
• Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer.
• SAP is very actively developing and improving it.

Incentivized

• Phocas needs to make it easier to connect to different types of databases.
• The data in Phocas needs to be updated faster in some cases.
• It needs to provide functions to create better charts and graphs.

Incentivized

• Better documentation with examples of how to use connectors (i.e. what input/output must look like)
• Debugging functionality required to understand where pipelines fail and how data looks at that point
• SAP libraries (e.g. python hana_ml) should be STANDARD and pre-installed to avoid dockerfiles and other workarounds
• Dockerfile execution takes long times without giving a status where it is failing/held up
• HANA Read/Write Table operator throws TLS errors which are unlikely when HANA connection generally works

Incentivized

Allow collaborations among various personas
with insights as ratings and comments on the
datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence

Incentivized

It is a very user-friendly product and is easy to understand. You can get your data from just a quick click and the dashboard loads. You can take the data and drill down easy to find what you are looking for.

Incentivized

- Difficult debugging, sometimes it does not show where an error occurred so the error finding is difficult - Lot of tabs get opened when working with the tool which is not very user friendly - Pipelines and notebooks were sometimes deleted and could not be restored - Frequently used libraries (such as hana_ml) could not be installed via the dockerfile and should potentially be pre-installed for better usability

Incentivized

Support is responsive. You log a call and they will respond quickly and resolve your issues. We have only had great experiences with the support team.

Incentivized

Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,

Incentivized

Phocas is easy to use for end users and can be used on desktops, laptops, and phones.

Incentivized

One of the reasons to pick SAP Data Intelligence is the speed and security it provides, in addition to the excellent support it provides. It is also compatible with all popular databases, which is another reason to choose it.

Incentivized

• It has given our business a view on data
• We can access it from anywhere
• You can have multiple dashboards for different information

Incentivized

• Automation of data management slashed tasks by over 60% in most departments for the first 8 months.
• Metadata catalogs have enabled us to categorize data from disjointed sources in one place.
• It runs multiple ML models which enhances flexibility when managing data.

Incentivized