SAP Analytics: is your organization ready for it?
Every day more and more SAP data is being produced that can be put to good use by organizations for enhancing business performance and customer insights. SAP is a frontrunner in the ERP software space and is widely present in the business and operational workflows of a huge number of large organizations. SAP data replication could be from several sources including SAP business applications, connected devices, mobile apps and more. As an organization you need to integrate this SAP data and other enterprise data for meaningful SAP Analytics.
Getting started with SAP Analytics may take time
SAP Analytics can be sadly delayed if your SAP data integration is difficult. SAP uses the proprietary ABAP (Advanced Business Application Programming) language and this may be an obstacle. Since ABAP is batch only, getting real-time data loads is next to impossible, and accessing real-time data is essential for many organizations. Also, SAP’s ECC (ERP Central Component) stores SAP data in Pool and Cluster tables. Extracting data from Pool and Cluster tables is challenging since the data is stored in a highly compressed, encoded format and needs to be decompressed and decoded, which requires time and effort. Thankfully SAP is migrating its ERP software to SAP HANA which in turn is getting rid of SAP’s Pool and Cluster Tables paving the way for smoother, faster SAP data integration in the future.
Platforms for SAP Analytics
For SAP Analytics you need to replicate SAP data and integrate it with other data to achieve insights that will inform business decisions, operational analytics, customer service and manage equipment maintenance. Whether it is SAP ECC, HR or CRM, companies need to capture data from their SAP systems and load it to analytics platforms like S3, Redshift, Snowflake, Azure Synapse or SQL Server to integrate, process and analyze SAP data.
Adding power to SAP Analytics with SAP HANA
SAP HANA is a relational database management system (RDMS) that can add efficiency to SAP Analytics processes. SAP HANA stands out as a database with its in-memory data storage and columnar management. It provides users the capability of real-time analytics and decisions. Data processing and transactions are extremely fast as the data is stored in RAM, and it allows for speedy processing of huge amounts of data even as business is being conducted.
Further SAP HANA allows for storing and processing of data in columns as well as rows, and parallel processing of multiple operations as compared to single query execution of traditional databases -making for infinitely faster processing. SAP HANA is source agnostic and supports data from different DBMS. SAP HANA’s in-memory database provides access for both – transactional (OLTP) and analytical (OLAP) queries in parallel. SAP HANA can thus be used for analytics operations like spatial data analysis, text analysis, predictive analytical data, graph data analysis and more while it also does duty as an application server with ETL capability. It also helps that SAP HANA is available on Cloud and has an analytical library of over 4000 native algorithms which is great for predictive analysis. SAP HANA can be migrated to platforms like Snowflake for easier data management.
SAP data replication needs to be on point for effective SAP Analytics
Now that you are getting fired up with the possibilities of SAP Analytics, you will also need to consider how you will be replicating your SAP data to enable analytics. Though SAP has its native SAP tools to do this, you may find it easier and less expensive to use a third-party replication tool. A SAP data replication tool like BryteFlow Ingest can make all the difference.
Enable effective SAP Analytics with real-time SAP data replication
BryteFlow provides continual, real-time SAP data replication with Change Data Capture with initial full and incremental data loading using CDC to sync all changes at source with destination. It also provides support for bulk data ingestion with multi-threaded, parallel sync, partitioning and compression. As a high speed, high performance SAP data replication tool, it can replicate 1 million rows in 30 seconds.
No code replication of SAP and other data
BryteFlow is completely automated with a point and click user interface that can be easily used by any business user. This is great for SAP Analytics since more people can use and derive the benefits of analytics without needing support from tech. BryteFlow is fast to configure and execute. Monitoring data replication tasks through the user-friendly interface is a simple, intuitive process.
Simplifying SAP data integration
BryteFlow unscrambles and reworks complex SAP data to transform it into data models that can be easily accessed on your SAP analytics platform. It supports all the main SAP systems, industry solutions and custom components along with SAP Pool and Cluster tables making for faster, smoother SAP data integration.
Ready to use data at destination
Extract SAP data from a full range of SAP systems with just a few clicks. You can get a range of data conversions out of the box including Typecasting and GUID data type conversion to ensure that your SAP data is ready for analytical consumption. BryteFlow allows for configuration of custom business logic to consolidate SAP data from multiple applications or modules into AI and Machine Learning ready inputs. BryteFlow supports flexible connections to SAP including: Database logs, ECC, HANA, S/4HANA and SAP Data Services. BryteFlow Ingest facilitates advanced SAP analytics by enabling data integration from various SAP and non-SAP sources to popular platforms on premises or in the cloud.
SAP Analytics need complete, trustworthy data – possible with automated data reconciliation
Your SAP Analytics will only be as good as the quality of your data. It needs to be complete, clean and trustworthy. A big advantage of our SAP data replication tool is that it seamlessly integrates with our data reconciliation tool so replicated data is continually reconciled with data at source. In case of missing or incomplete data, you will receive alerts and notifications so issues can be fixed early on.