SAP data for connected business decisions
Databasin helps your team examine SAP records alongside the other systems behind a business decision. We connect SAP HANA or SuccessFactors, prepare the relationships and build the applications people will use. Your team can review shared measures, ask follow-up questions and use SAP data in recurring workflows.
SAP records in everyday analysis
Design, Build, Run
We take responsibility for the work from defining the outcome through implementation and ongoing support.
Design
We define the outcome, current processes and expected return with your stakeholders. A working example shows how Databasin would answer your business questions.
Build
We get your first use case live in 90 days. Communication, rollout, training and success measurement are included in the work.
Run
Choose the help you need after launch. We can run the solution for you, provide monthly support hours or stay on call.
Results from customer work
- 20+ systems unifiedDatabasin brought WashU Medicine's financial data together.
- Infrastructure costs at 1/3 of the traditional approachWashU Medicine's result from changing its data infrastructure.
48 hours
SAP data in Databricks
Compana Pet Brands resolved its SAP to Databricks integration in 48 hours with Databasin.
“What used to take weeks or sometimes even months now happens in minutes.”
Tools for connected SAP analysis
Query evidence
Inspect the query and source records behind a Databasin One answer.
Scheduled loads
Refresh selected source records on the schedule established for the business review.
Schema detection
Detect the SuccessFactors schema when its records enter the native pipeline.
Shared relationships
Use modeled entities and joins across applications and follow-up business questions.
Run history
Examine earlier loads when investigating a change in the records available.
Viewer access
Share a Data App that queries records under each viewer's permissions.
Example: SAP records across teams
Reviewing workforce changes
A departmental workforce review uses SuccessFactors records to examine changes over the periods and population HR has defined for the measure.
Examining operating activity
A shared operating measure connects HANA with another business source, allowing the team to investigate activity across both sets of records.
Preparing management reviews
Management reviews use an application over refreshed SAP records, with the same definitions available when colleagues ask a further question.
What happens next
We would like to hear where your team wants to make progress with data and AI. We can discuss a project you have in mind or explore where Databasin could help with the work.
What happens next
Book a demo
Book a conversation about your organization and the work you want to improve. Questions about where to start are welcome.
Explore the opportunity
We show a working example that answers your business questions, then discuss what it would take to deliver it for your team.
Get the first result
After agreeing the first use case, we implement it with your team. We train the people using it and measure how it performs.
FAQ
Can you connect every SAP product through these routes?
The catalog documents HANA and SuccessFactors routes. For another SAP product, we examine where its records can be read and the access available. That establishes the source connection work before we prepare the model and business application.
How do the two SAP connections authenticate?
The HANA database connector lists Basic authentication. The native SuccessFactors connector lists Basic or OAuth2. We configure the appropriate route with the source administrators for the records needed by the application, then use it in the pipeline that prepares those records.
Can SuccessFactors measures reflect our own workforce definitions?
Yes. We build measures from the supplied relationships using HR's intended population, period and calculation. We examine the results with the people who will use them. Those definitions then support both the shared review and questions about its underlying records.
Do we have to move our existing Databricks workloads?
No. We examine the processing already in place and build the SAP use case around the parts it needs. The work can add connections, prepared views and applications while retaining the Databricks workloads that already serve your organization.
Does a scheduled SAP load guarantee real-time reporting?
No. The pipeline reads the records available when it runs. We set the schedule around the source and reporting needs. The reporting period and run history then help explain which records were available for the result being examined.
Can we make a shared application from the SAP measures?
Yes. We build the Data App over the prepared SAP tables with the measures, filters and trends the review needs. Colleagues can request edits in plain language. Changes to the presentation continue to use the business definitions behind those measures.
What happens if only some SAP tables fail to load?
We inspect the failed tables and the source or target error in the run logs. The pipeline controls let us retry those tables. We then check whether the records needed by the downstream application arrived and whether its preparation can continue.
Who handles the work beyond connecting SAP?
Our team can implement models, governance, applications and workflows, then help people use them. Continuing support follows the arrangement chosen for the work: we can operate it, provide monthly support hours or stay available when the team needs help.
Talk about your SAP data
We can talk through the decisions that depend on SAP and where people need a clearer view. Our team can explain the connections, business definitions and applications that would help them use those records in their work.