Integrate SAP Hybris Data with Snowflake for Useful Analytics and Activation

A Step-by-Step Guide

SAP Hybris logo
Snowflake logo

Make the Most of Your SAP Hybris Data in Snowflake

SAP Hybris and Snowflake are a natural fit for data modeling, business intelligence and data activation – especially for retail brands interested in optimizing their overall business performance, acquisition and retention marketing programs, and merchandising and fulfillment operations decisions.

SAP Hybris is a cloud-based e-commerce platform solution for B2B and B2C enterprises acquired by SAP in 2013. Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to discover and securely share data, power data applications, and execute diverse AI/ML and analytic workloads. Together, the software application and cloud data tooling provide business and data practitioners with an opportunity to analyze and optimize ecommerce, shopping carts, composable commerce and subscription platforms to drive profitable growth.

Connect to SAP Hybris

The first step toward useful, modeled SAP Hybris data in Snowflake is to connect the source and destination systems. There are many legacy tools available in market that handle the ETL or ELT transfer of SAP Hybris data to Snowflake, and there are emerging tools that accomplish this transfer while providing value-added services like local data logging, and semantic data labeling and mapping along the way – making SAP Hybris data modeling, analytics and activation easier once the data is landed in Snowflake.

To connect to SAP Hybris, follow these easy steps

  • Open SoundCommerce in any browser. Open the “Intelligent Pipeline” application from the top right navigation menu. Select “Sources” from the left navigation menu. Choose “Add New Source” from within the Sources pane to open the data source library.

  • Search or browse to find “SAP Hybris” within the data source library.

  • Complete the “Connection Setup” form with your credentials and token to securely connect to SAP Hybris and begin collecting source data.

Log SAP Hybris Data for Flexible Modeling in Snowflake

There are a few more considerations to address along the way. First, what happens if SAP Hybris is unavailable for some reason, or the data you’re expecting has been purged by SAP Hybris? What happens when SAP Hybris changes their API schemas and data scope? What happens if you need to reinterpret your SAP Hybris data for a new use case in the future?

You’ll want your SAP Hybris data immutably logged locally, just upstream of Snowflake to ensure you have the data and data flow flexibility you need to future-proof your SAP Hybris data and models. SoundCommerce provides permanent logging of SAP Hybris data upstream of Snowflake to ensure failover and future-proofing. Regardless of how you connect your SAP Hybris and Snowflake data, you’ll want a data lake or event log in the middle to ensure data integrity and modeling flexibility.

Define and Label SAP Hybris Data for Snowflake

As new technologies arise and best practices evolve, traditional integration tools like ETL and ELT data pipelines are giving way to intelligent pipelines that help prep data for Snowflake starting at ingest. Simply moving JSON from SAP Hybris to Snowflake leaves all the work for your data team in Snowflake.

As you onboard your SAP Hybris data into Snowflake, you’ll want to create semantic labels and metadata that describe the SAP Hybris data for easier unification and modeling across other systems and data in Snowflake.

There are third-party solutions that will catalog your SAP Hybris data and generate semantic labels and mappings after you’ve landed it in Snowflake. With SoundCommerce, the SAP Hybris data is defined and labeled on its way into Snowflake instead, to avoid this costly rework later. You’ll end up with business-ready entities like orders, customers, products and campaigns, making it much easier to model your SAP Hybris data in Snowflake.

Map SAP Hybris Entities to Snowflake

Once the raw SAP Hybris data has been organized into useful entities, it’s time to map the SAP Hybris data into useful tables in Snowflake.

Why do defined and labeled entities from SAP Hybris matter so much? The main reason is that SAP Hybris data needs to be combined with data from other SaaS and on-premise software systems in useful ways. Landing raw SAP Hybris data in Snowflake without this semantic understanding means data engineering and analyst teams must do all of the heavy lifting regarding the meaning of the SAP Hybris data and the standardization of the meaning of that SAP Hybris data from scratch in Snowflake.

Defining, labeling and mapping the SAP Hybris data on the way in means much less effort once the data is landed in Snowflake.

Materialize SAP Hybris Data in Snowflake

Next, you’ll establish a secure connection to Snowflake:

  • Select “Destinations” from the left navigation menu. Choose “Add New Destination” from within the Destinations pane to open the data destination library.

  • Complete the “Connection Setup” form to securely connect to Snowflake to establish a secure destination for your labeled, mapped and modeled data.

That’s it! You now have logged, labeled and mapped data from SAP Hybris flowing securely to Snowflake.

Model SAP Hybris Data in Snowflake

Once you have well-formed entities from SAP Hybris onboarded to Snowflake, it’s time to build useful analytical and behavioral models on the SAP Hybris data – and combine the SAP Hybris data with data sets from other systems in Snowflake for more advanced, cross-dimensional analysis.

You can build your own analytical models on the SAP Hybris data in Snowflake using languages like SQL and Python, organized into model libraries in tools like DBT or Coalesce. With SoundCommerce, you get prebuilt analytical models for SAP Hybris running in Snowflake, with ready access to the model source code in DBT.

Host the Modeled SAP Hybris Data in Snowflake for Analytics

Snowflake supports reporting and visualization through a wide variety of analytics tools including Sigma, Tableau, Looker, Power BI and Microstrategy to name a few. You can build your own dashboards, tabular views and graphs in any of these tools to reveal insights about SAP Hybris in your Snowflake models. SoundCommerce provides pre-built embedded reports in Sigma to reduce the time, cost and risk of BI reporting of SAP Hybris data out of Snowflake – so you can start making better decisions and taking better action as soon as you’ve connected SAP Hybris to Snowflake.

Host the Modeled SAP Hybris Data in Snowflake for Campaign and Customer Activation

Whether your marketing team uses SAP Hybris for activation – or uses other tools and channels or both to take action on the data – you’ll want to be able to easily move your modeled SAP Hybris data in Snowflake to your most important marketing applications.

If you’ve followed the steps above to properly onboard and model your SAP Hybris data in Snowflake, it’s easy to use reverse ETL (rETL) tools like Census or Hightouch to orchestrate the data from there, or use SoundCommerce native orchestrations to push data into common channels and applications like Facebook, Instagram, TikTok, Braze, Klaviyo, Insider or Dynamic Yield to put the SAP Hybris data in Snowflake to use!

Getting Your SAP Hybris Data Defined, Labeled, Mapped and Modeled in Snowflake is Easy!

SoundCommerce can automate the steps necessary to bring SAP Hybris data into Snowflake, addressing the key functions of raw SAP Hybris data logging, SAP Hybris semantic definitions and mappings, and pre-built SAP Hybris data models that are analytics- and activation ready in Snowflake.

Contact us today to get started with SAP Hybris in Snowflake!

Technical Resources for Integrating
SAP Hybris Data with Snowflake

More information and technical specifications for data collection from SAP Hybris is available at:

SAP Hybris API Documentation

More information and technical specifications for data ingest into Snowflake is available at:

Snowflake API Documentation

Integrate and Model SAP Hybris Data in Snowflake