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Author's profile photo Akash Dev

Introduction to SAP Data Intelligence

I’m so happy to find time to start SAP blogging, this is my first blog and first is always the special one 🙂

When we use various SAP cloud products then we require a solution to manage our data and integration part. SAP has classified its solution/products in various categories and each product is responsible for certain use cases. Few products have some features in common but the selection of tool entirely depends on our requirement.

I found one SAP product to be very useful hence decided to start with it.

What is SAP Data Intelligence?

SAP Data Intelligence is a comprehensive data management solution. As the data orchestration layer of SAP’s Business Technology Platform, it transforms distributed data sprawls into vital data insights, delivering innovation at scale.

This product is known to be one of the robust product under SAP Integration suite. Provides Data Integration, Data Management & Data Processing –A complete solution.

Architectural view of SAP Data Intelligence

(Image source: SAP® Integration Solution Advisory Methodology(Published by SAP))


Highlights of Product:

  • SAP Data Intelligence is a comprehensive data management solution.
  • Provides Data Integration, Data Management & Data Processing –A complete solution.
  • Launched in 2019 and known to be as combination of two products “SAP Data Hub” & “SAP Leonardo Machine Learning Foundation” with some additional connectivity features.
  • SAP Data Intelligence is available as a BYOL (bring your own license) model where it can be deployed on-premise in your own data center, on any hyperscaler public (AWS, Google, Microsoft) or private cloud.
  • Suppose if it is hosted on AWS then it has EC2 instance running behind it –Scalable according to the requirement.
  • In the DI backend we have SAP HANA, Application layer is AAS(ABAP), front end is combination of SAP Fiori.

Connectivity of SAP Data Intelligence with On-premise can be done in two ways only:

  1. Cloud Connector
  2. Site to Site VPN

Detailed feature of SAP Data Intelligence

When we say it as “Data Management solution”, first thing that comes to our mind is that what all things it supports. Selection of the tool majorly depends on the our requirements. Below image will show you the glimpse of all forms of connectivity whether it’s with SAP products or with third party products. The center box of the image shows all types of data related capabilities which SAP DI can provide.

  • Features & Connections with various sources (Shown in below image)

(Image source: SAP® Integration Solution Advisory Methodology(Published by SAP))


(Image source: SAP® Integration Solution Advisory Methodology(Published by SAP))


Below are data related terms – Common across various platforms (These terms relate to SAP Data Intelligence features as mentioned in above image)

Data Discovery – It is a term used to describe the process for collecting data from various sources by detecting patterns.

Data Profiling – It is a detailed analysis of source data. It tries to understand the structure, quality, and content of source data and its relationships with other data.

Metadata Cataloging – It ‘s collection of all the data about your data. Metadata can include the data source, origin, owner, and other attributes of a data set.

Data Ingestion – It is a process by which data is moved from one or more sources to a destination where it can be stored and further analyzed.

Data Processing -Data processing occurs when data is collected and translated into usable information.

Data Enrichment – It is a general term that applies to the process of enhancing, refining, and improving raw data.

SAP Data Intelligence has very broad number of connectors and built in adapters, a simple example of SAP DI pipeline has been shown below:

(Image source: created by me)


This blog provides you introduction of SAP data intelligence and some of the features to start with the product.

SAP Data Intelligence helps us to understand business data with comprehensive metadata management capabilities. These include business rules, data lineage, a business glossary, and a rules dashboard to help ensure that everyone is on the same page. It’s Centralized access to multiple data sources makes it easier for diverse teams – including data engineers and architects, machine learning and data developers, and core IT teams – to collaborate.

In addition, you can use machine learning (ML) to create and deploy ML models.

Important References:

Get started with trial edition to get an idea of this tool:

Thanks for reading. Do comment your views, I believe in regular feedback so that I can refine blogs for you all.


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      Author's profile photo Shishir Srivastava
      Shishir Srivastava

      Thanks Akash for sharing, very informative.

      Author's profile photo Akash Dev
      Akash Dev
      Blog Post Author

      Thanks 🙂

      Author's profile photo Jitendra Bhojwani
      Jitendra Bhojwani

      It is very interesting and informative, Akash, and your grip over the topic and ability to impart it to the readers is equally impressive

      Please keep sharing your wealth of knowledge to inform and educate the readers. I hope many readers, who are currently using the technology would have been benefitted from your post because an informed user is the empowered user 🙂

      Author's profile photo Akash Dev
      Akash Dev
      Blog Post Author

      Thanks Jitendra, it gives me strength to share more.

      Author's profile photo Dakshata Sarode
      Dakshata Sarode

      Hi Akash,

      Thank you for sharing such a detailed document. I come from a non-SAP background but have a strong urge to learn about SAP. Though I have never been formally trained on SAP, I could still  understand and learn the concept so well after going through your article.

      Encouraging you to keep writing more.

      Regards, Dakshata

      Author's profile photo Akash Dev
      Akash Dev
      Blog Post Author

      Thanks Dakshata for the encouragement.

      Author's profile photo Shaji Narayanan
      Shaji Narayanan

      Thank you Akash Dev for a well-written, concise blog post.

      Looking forward to more posts on the topic, based on your DI experience.


      Best regards,



      Author's profile photo Sijin Chandran
      Sijin Chandran

      Hi Akash,

      Thanks for this blog.

      If possible can you showcase a test scenario using BTP Trial login, where we can harness the ML part mentioned in this design.

      That will definitely help us in getting the hang of SAP DI.



      Author's profile photo Rajesh PS
      Rajesh PS

      Akash Dev How about error handling, reprocessing and reporting in SAP DI ? Could you please throw some light here?