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Unleash the Power of SAP Data With Matillion's SAP ODP Connector

SAP Enterprise Resource Planning (ERP) software powers thousands of enterprises and their daily operations. Many of them are accelerating to the cloud to enrich SAP data for business use cases like analytics, data science, etc. With the scalability, flexibility, and cost-effectiveness of cloud data platforms, businesses can tap into the full potential of their SAP data. 

While cloud data platforms offer tremendous business value, there are challenges to getting SAP data to the cloud. We’ve found that data teams generally face these three key problems:

  1. Difficulty operationalizing on-premise SAP data in the cloud efficiently.
  2. Inability to make SAP data business-ready and deliver to analytics teams in a timely manner.
  3. Time-consuming, manual process of hand-coding and managing complex SAP data pipelines.


To overcome these challenges and maximize the value of SAP data in the cloud, Matillion is introducing the SAP ODP Connector for Matillion’s Data Productivity Cloud.   
 

What is Matillion’s SAP ODP Connector for the Data Productivity Cloud?

Matillion’s new SAP Connector is built to simplify data teams' loading, transformation, synchronization, and orchestration of data pipelines to deliver business-ready data faster,  drive better decision making, and improve operational efficiencies and overall business success.

You can connect your SAP data to your cloud data platform of choice with the new Matillion connectors, which use the SAP Operational Data Provisioning (ODP) , enabling them to extract data in batches and incrementally. Then, your team can quickly realize the value of their SAP data and leverage the power of your cloud data platform, with Matillion’s Data Productivity Cloud. 

Watch this demo to see SAP connector in action!  

 

Maximize the value of SAP data with Matillion’s Data Productivity Cloud

  1. Connect it Unlock the power of SAP data by streamlining cloud migration and ensure its availability for a wide range of use cases: 

  • Building customer data platform: Expand understanding of customers by combining CRM and back-office operational systems (ERP, supply chain, etc.) to increase revenues and reduce costs.
  • Preventive maintenance: Avoid unscheduled and accidental equipment breakdowns through evaluation of upkeep and failure history.
  • Financial data management: Improve decision making and overall performance through analysis of profits and costs across a greater number of organizational parameters.
  • Supply chain management: Identify root causes of shipping delays and alleviate costs through monitoring and analysis of supply chain data, such as purchases, operations, and distribution.

2. Put it to work Get SAP data business-ready in minutes with Matillion’s low-code/no-code technology and drag-and-drop interface that make data teams more productive. Reduce reliance on hand coding, using assistive tools to speed up integration, delivery, and development. Matillion’s Data Productivity Cloud makes it easy for data teams to get value from their SAP data. And Matillion's push-down ELT technology takes advantage of any cloud data platform for enhanced scalability and superior performance. 

3. Get value faster Automate SAP data pipelines for easier management and delivery, saving valuable time and resources while increasing operational efficiency and data productivity. Leverage the powerful analytics capabilities offered by cloud data platforms such as Snowflake and Amazon Redshift within Matillion’s Data Productivity Cloud to gain deeper insights and derive more value from data.  


Transform SAP data into business-ready insights 

Matillion's SAP ODP Connector for the Data Productivity Cloud simplifies data teams' loading, transformation, synchronization, and orchestration of data pipelines to deliver business-ready data faster, improve decision-making, and increase operational efficiency. With Matillion's code optional interface and GUI, data teams can quickly derive insights from SAP data and automate SAP data pipelines, leading to faster delivery, reducing time and cost expenditures, and increasing data productivity.

Andreu Pintado
Andreu Pintado