Do you want to use SAP data for data science and big data? With our certified interface, you can integrate your SAP systems seamlessly into data lakes and develop innovative applications with AI / ML and IoT in record time.

Our big data integration services:

  • Consultation on the integration of your SAP systems into big data platforms for the development of scalable data science applications
  • Certified integration solution for connecting SAP systems to big data technologies (Hadoop and cloud solutions such as Azure, GCP, AWS)
  • Migration of SAP systems to the cloud (optionally with NZDT to minimize system failures)
  • Implementation of data management with archiving of SAP-ERP and SAP-BW data in the cloud
  • Architecture consulting for the implementation of data lakes based on Hadoop (e.g., Cloudera) and cloud (e.g., Azure).

SAP and big data – a perfect match

With big data, you have a powerful tool at your disposal to make your processes leaner, smarter, and more efficient. The possibilities range from pure data analysis for a better understanding of your processes to the automation of complete process chains using learning algorithms (machine learning).

To realize the full potential of big data for your company, you need to overcome your existing data silos and integrate business-critical IT systems with your big data platform via suitable interfaces.

Your SAP systems are of particular importance here. They map your financial and logistic processes and thus contain an enormous “data treasure,” which is incredibly valuable for big data analyses. In addition, you can transfer data from data lakes to SAP for further processing and automate processes that were previously performed manually.

Once you have integrated your big data and SAP landscape, many interesting applications can be developed.

Examples of big data applications:

  • Implementation of a uniform view of your customers throughout the entire company (“Customer 360”)
  • Predictive maintenance based on SAP CO (Controlling), AA (Asset Accounting) and PM (Plant Maintenance)
  • Fraud detection/fraud management
  • Clickstream integration with SAP CRM
  • Risk modeling
  • Implementation of a recommendation engine for personalized product recommendations integrated with the SAP MM module
  • Point of sale transaction analysis
  • Trade monitoring
  • Blockchain integration in SAP processes

With our technology, we enable you to implement these and other scenarios into your SAP and big data landscape efficiently and cost-effectively.

We have selected some particularly interesting application examples from our extensive library of demo scenarios for you and present them in more detail below.

Central customer cockpit

Big data can help you better understand your customers and target sales activities to your best customers. To do this, however, you need a uniform and complete view of all customer data. But in practice, customer-relevant data is usually scattered across many systems that do not communicate with each other.

You can solve this problem by consolidating all customer-related transactions and master data in one data lake. For example, your SAP systems can provide data on sales, pricing conditions, payment history, and returns. Your CRM and call center applications, in turn, deliver information on support requests or complaints from your customers. Using a data lake, you can evaluate this data in a consolidated form, aggregate it and present it as KPIs in a dashboard for your employees.

Predictive maintenance

Unplanned breakdowns of machines, vehicles, or other equipment disrupt the operating process and cause major additional costs. Predictive maintenance can help you avoid such failures.

You can set up predictive maintenance with the following steps. First, set up a transfer path to be able to transfer current sensor data from machines or components under consideration to a data lake. Next, machine learning algorithms are set up and trained. You can recognize an imminent component failure at an early stage based on suspicious patterns in the sensor data. If a component threatens to fail, a maintenance order can be created automatically in SAP to initiate maintenance tasks. The repair can now be planned, and more considerable damage due to an unexpected total failure is avoided.

How to integrate your SAP systems with Big Data

With our Datavard GlueTM software solution, we offer certified middleware for integrating your SAP systems with Big Data and cloud platforms such as Microsoft Azure, Cloudera, and Google BigQuery. Thanks to the bidirectional SAP interface, you can transfer SAP data securely and conveniently to other platforms (such as data lakes), or load data from non-SAP systems into your SAP landscape.

The core of Datavard GlueTM is the Business Process Library (BPL). It allows your users to choose the data they need from a repository of hundreds of SAP data objects and can easily define exciting big data integration scenarios.

To ensure that your employees can quickly find their way around the Business Process Library, we have designed the user interface to be particularly straightforward. It can be easily used by users without SAP experience.

Advantages of Datavard GlueTM:

  • Turn your SAP systems into data sources for data lakes
  • Comprehensive object library: The Business Process Library gives your data scientists convenient access to hundreds of SAP data objects
  • Rapid prototyping of innovative big data and data science applications based on SAP data (also for users without SAP experience)
  • Simple user interface and mapping of technical SAP field names into generally understandable terms
  • Delta extraction and fast data provisioning in batch mode as well as for streaming with near real-time data extraction
  • Numerous storage technologies: over 20 databases and technologies are supported, including Google Cloud Platform (BigQuery), Microsoft Azure, Hadoop, Spark, Hive and classic RDBMS databases such as Oracle, DB/2, MSS
  • Certified by SAP, Cloudera, and Microsoft

Do you have any questions?
Just use our callback service.

We´ll reach out to you at your preferred time.

Others also read

Recent years have brought about an amazing uptick in international mergers and acquisitions, divestitures and companies going through major reorganizations or restructurings. But what often is a blessing for shareholders quickly turns into a nightmare for the SAP business applications. After all, major changes must be mirrored in the ...
Transformation & SLO
Goetz Lessmann
Goetz Lessmann
In my last blog post I presented an overview of System Landscape Optimization (SLO) and how it supports business transformation. I walked through some of opportunities and potential benefits of using SAP LT (Landscape Transformation) including flexible golive dates, conserving the integrity of SAP data, and minimizing the impact of a ...
Transformation & SLO
Goetz Lessmann
Goetz Lessmann
In this fourth installment of my blog series about SLO (System Landscape Optimization), I will describe  how to handle organizational changes using the Company Code Merge approach.  So far, I’ve discussed the use and benefits of using SLO tools and methods for carve-outs and carve-ins when companies are involved in Divestitures or Mergers ...
Transformation & SLO
Goetz Lessmann
Goetz Lessmann
Heidelberg, Germany and West Chester, PA – July 1, 2019 – Datavard, a recognized global leader in data transformation and solutions with a history of 20 years in SAP landscape transformation, will join SAP and to form its inaugural SAP S/4HANA Selective Data Transition Engagement Workgroup. The workgroup brings together ...
Migrations
S/4HANA
Transformation
Datavard US Adds Formbit Founders to Leadership Team Heidelberg, Germany – September 19, 2019 – Datavard, a recognized global leader in data transformation and solutions with a history of 20 years in SAP landscape transformation, today announced it has acquired Formbit, a leading expert in SAP-certified System Landscape Optimization (SLO) ...
SLO
Heidelberg, September 27, 2019 – Datavard yesterday received the “Employer of the Year” award at the Women in IT Awards in Berlin The Award was won for outstanding commitment to promoting gender parity. The award was presented this year for the first time in Europe The Women in IT Awards have ...
Life at Datavard
Learn how Datavard Glue can open your SAP system to modern advanced analytics. Make big data informed decisions for your business strategy "Tomorrow". Understand why you need a data driven strategy Key challenges of SAP data integration Example Use Case Watch the webinar on demand right away Others als read
BI and Analytics
Datavard Glue
SAP and Big Data
Speaker: Tara Callaghan
Data is one of the most valuable resources for organizations. However, the vast amount of data that companies need to handle daily comes with high storage costs.  In times of perpetual data growth and new technologies, a future-oriented, data management strategy is vital. Accurate data management lowers storage costs, improves ...
BI and Analytics
SAP and Big Data
Speaker: Barrett Conway
Webinar on Demand Self-Service Analytics on All of Your SAP Data using Pyramid Analytics and Datavard. Discover what challenges and opportunities are facing SAP customers when it comes to analytics. Take a deep dive into the Pyramid Analytics capabilities with a product demonstration and learn how Pyramid Analytics have partnered up ...
BI and Analytics
Data Management
SAP and Big Data
Speaker: Dave Henry,
Speaker: Richard Osbourn
Wednesday June 03 at 10:00 am CET/ 4:00 pm SGT The first step towards a successful data management and analytics strategy is to identify data sources which gives a holistic view of all your business processes and aids you to realise insights from the generated data.  In this century of data dominance, companies store ...
BI and Analytics
SAP and Big Data
Speaker: Svenja Honselmann

Datavard Blog Newsletter
Stay informed

Subscribe to our free blog newsletter and receive valuable tips, tricks, and expert knowledge about SAP transformations, SAP data management, cloud migration, TCO reduction, data lifecycle management, and more.