Common Problems in Data Science
Data science is a must have – yet projects often fail because of hurdles in data quality, interpretability, scalability and alignment with business goals.
Data access & data preparation
Locating the necessary source data within SAP & combining it in a meaningful way can become a hurdle.
01
Interpretability
Black-box AI models hinder decision-making; a lack of model transparency is impacting user trust.
02
Gap between IT & business
There is a gap between rather technical insights vs. the business understanding necessitates.
03
Kickstart your Data Science Projects
Spend your time on the results, rather than the data preparation.
Automated Prep
Streamline SAP data preparation. Our solution automates up to 80% of exhausting data extraction, prep & pipelining tasks, saving valuable time.
Ready-made Base
Instant insights. Access ready-to-use big data base tables with correct syntax & semantics for immediate data analysis.
Focus on Results
Empower data scientists. By eliminating manual prep, they can dedicate efforts to deriving meaningful results and immediatly start working on adding value.
Our References Speak of Success
Pierre Poukens
CAE of Huntsman
We got to know dab as a reliable and committed partner. That is why we opted for their
“Support Gold” and technical assistance for our Analytic Projects and Automation initiatives.
Marcel Schäfer
Head of Audit for Corporate and Service Functions & Compliance at Covestro AG
For over 15 years now, we know dab as an innovative and reliable partner in the field of digital data analytics and related training. The seamless extraction of large amounts of data from SAP and the results of various analytics assist us in performing our audits more efficiently.
Lothar Klein-Schopper
Head of Group Internal Audit at Leoni AG
The standardized analytics from the dab AnalyticSuite have significantly increased the efficiency of our auditing activities and ensured sustainable knowledge management. Even with a change of employees, the new auditor can quickly familiarize themselves with the data analysis environment and evaluate SAP data without needing specific IT and SAP expertise.
Technology
Check out how our software can speed up the data preparation process for you!