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Did you know that SAP BW’s support ends in 2027, posing a threat to data security and system integration for many enterprises? Are you concerned about how this change could impact your business operations, or worried about potential data loss and compliance issues? Without migrating to a modern platform like SAP Datasphere, businesses risk working with outdated systems that hinder growth and expose them to operational setbacks.

Migration isn’t straightforward. High costs, resource demands, and complex data compatibility issues make the process daunting. Data transfers become a challenge, and aligning legacy systems with new cloud platforms often requires specialized skills. Does this sound familiar? These complexities can create roadblocks, draining resources and stalling progress.

Boomi offers a way out of this maze. With its low-code integration platform, it addresses these migration challenges directly. Over 200 businesses trust Boomi to connect their SAP systems on AWS, allowing real-time data transfer without the need for specialized coding. This approach helps unify your data, improving operations and setting your business up for growth. This blog will dive into the migration challenges and how Boomi clears the path for a successful transition.

SAP Datasphere: Why Migrate Now?

The Strategic Value of SAP Datasphere

SAP Datasphere provides a real-time, unified data environment essential for handling diverse and growing data sources. It acts as a central hub that connects and harmonizes structured and unstructured data, making it a key driver for enterprise-wide analytics. Its integration options allow for a smooth flow of data from legacy systems, cloud services, and third-party applications, supporting more robust decision-making processes.

In terms of AI and machine learning, SAP Datasphere boosts model accuracy and performance by providing access to extensive, high-quality data sets. This centralization of data empowers data scientists to use models that drive predictive analytics, improving strategic planning and operational processes. The flexibility in data storage management also optimizes data accessibility, supporting large-scale analytics without performance issues. This adaptability directly addresses the need for agility in data operations, reducing delays in reporting and analytics.

Risks of Remaining on SAP BW

Remaining on SAP BW poses multiple challenges. The outdated architecture limits integration with modern platforms and cloud services, creating data silos that hinder cross-departmental collaboration. SAP BW’s high maintenance costs arise from the need for frequent updates, customizations, and support resources. Integration with new systems requires extensive manual coding and custom connectors, increasing the risk of errors and delays in data processing.

Compliance issues can emerge as SAP BW lacks support for the latest data privacy regulations, such as GDPR and CCPA. This can lead to potential legal ramifications and loss of stakeholder trust. Sticking with SAP BW restricts access to advanced analytics and AI functionalities, preventing enterprises from gaining actionable insights from their data. Migrating to SAP Datasphere alleviates these constraints by offering a modern, flexible platform ready to accommodate future data growth and changing compliance needs.

Boomi’s Role in Facilitating Transition

Boomi’s integration platform offers pre-built connectors designed for SAP environments, reducing the complexities involved in transferring data to SAP Datasphere. Its low-code environment empowers business to set up migration workflows quickly, drastically cutting down the need for specialized coding skills. The platform supports near real-time data synchronization between SAP Datasphere and other enterprise systems, maintaining data integrity throughout the process.

Boomi’s data transformation tools handle diverse data formats and maintain compatibility with SAP Datasphere’s architecture. This includes automated data validation processes that cut down on manual intervention, keeping data accuracy during migration. Boomi’s centralized monitoring dashboard allows businesses to track data flows and address issues promptly, maintaining uninterrupted data integration.

How Boomi Addresses SAP Datasphere Migration: Key Features

1. Low-Code Integration Platform

Boomi’s low-code environment makes the SAP Datasphere migration process straightforward. With its visual drag-and-drop interface and pre-built templates, your team can design complex data workflows without deep coding skills. This approach reduces manual errors, allowing you to map data fields accurately and quickly. As a result, migration timelines shorten, freeing up resources to focus on optimizing data strategies rather than fixing technical glitches.

2. Pre-Built Accelerators and Connectors for SAP

Boomi offers specialized accelerators and connectors designed for SAP BW and SAP Datasphere environments. These tools handle the extraction, mapping, and transfer of data smoothly. Boomi’s pre-configured connectors automate data extraction and formatting tasks, reducing the time spent on manual configuration. The accelerators support large-scale data operations, ensuring your key datasets migrate accurately and remain usable in SAP Datasphere for advanced analytics and reporting.

3. Automated Data Validation and Transformation

Boomi’s data validation and transformation features play a crucial role in preparing data for SAP Datasphere. As data moves from SAP BW to SAP Datasphere, Boomi performs automatic checks to identify inconsistencies, incorrect formats, or data gaps. This validation minimizes the risk of faulty data disrupting business operations. Boomi also provides data cleansing tools that reformat and enrich datasets, aligning them with SAP Datasphere’s architecture and analytics functions.

4. Real-Time Data Synchronization

During and after the migration, Boomi enables real-time data synchronization between SAP Datasphere and other enterprise systems. This capability keeps your data updated across applications, avoiding lags that could impact analytics and decision-making. Boomi’s centralized monitoring dashboard offers visibility into data flows, helping you identify and address issues promptly. By maintaining an active data sync, you maintain continuous access to accurate, up-to-date information across your enterprise.

5. Centralized Workflow Management and Monitoring

Boomi’s platform provides a unified dashboard for managing all data migration workflows. This centralized view allows you to monitor the progress of each migration task, quickly identify roadblocks, and address potential disruptions in real-time. Built-in alerts notify you of any anomalies, allowing for proactive management. This level of control helps maintain the integrity of your data during migration, setting up a reliable foundation for SAP Datasphere operations.

Data Tiering and Integration with AWS Services Using Boomi

Data Tiering

Data tiering divides your data into high-value and low-value categories based on usage and importance. High-value data, such as real-time analytics, remains on SAP Datasphere for immediate access. Low-value data, like archived records, moves to lower-cost storage options, like Amazon Redshift. This strategy helps manage storage costs and maintains high-performance data access without compromising operational insights.

Boomi’s Integration with Amazon Redshift

Boomi uses its pre-built connectors to connect SAP Datasphere with Amazon Redshift smoothly. This connection allows for uninterrupted data transfer between systems while maintaining data integrity. Boomi’s low-code platform makes configuring the data flow easy, defining which datasets go to Amazon Redshift. It uses data caching and filtering techniques to optimize data retrieval times, keeping critical data accessible while reducing costs.

Technical Best Practices

  1. Cost Management: Define storage policies within Boomi to classify data based on access frequency. Set rules to periodically transfer less-used data to Amazon Redshift, freeing up high-cost storage on SAP Datasphere.
  2. Data Classification: Use Boomi’s data mapping tools to tag data types during integration. This classification allows for dynamic tiering decisions, automating what data goes where.
  3. Automated Data Transfer: Schedule data transfer processes within Boomi to run during off-peak hours, minimizing impact on system performance and keeping data flow consistent between SAP Datasphere and Amazon Redshift.

Benefits of Boomi for SAP: Cost, Time, and Resource Management

Cost Avoidance

Migrating with Boomi eliminates the need for costly hardware upgrades and extensive SAP BW licensing fees. Traditional SAP BW upgrades often involve high upfront costs, including new servers and ongoing maintenance. Boomi’s cloud-based platform minimizes these expenses by reducing the reliance on on-premises infrastructure, cutting operational costs. Additionally, Boomi’s subscription model offers predictable pricing, easing budget constraints while delivering a modern data integration solution.

Accelerating Data Preparation and Analytics

Boomi’s platform offers pre-built connectors and data transformation tools that speed up data preparation, allowing your team to get insights faster. Manual data preparation can take weeks, delaying crucial analytics. With Boomi, automated data mapping and validation smooth out the process, letting you access accurate, real-time analytics without long wait times. This means your business can quickly pivot strategies based on data insights, improving decision-making across departments.

Flexible Data Integration

Boomi grants you the flexibility to select specific SAP BW Queries and InfoProviders for migration, giving you control over what data moves into SAP Datasphere. This targeted migration approach allows your team to focus on high-value data, reducing unnecessary data transfers and storage costs. Boomi’s interface allows you to adapt the integration as your data needs change, avoiding rigid, one-size-fits-all solutions and making sure only relevant data is processed.

Procurement with Boomi in AWS Marketplace

Exploring Boomi on AWS

Boomi offers multiple versions and packages designed to meet varying enterprise needs. Options include connectors for SAP, Salesforce, and other applications, as well as Boomi’s Integration and Master Data Hub solutions.

Each version addresses different integration scenarios, allowing you to select the package that aligns with your data architecture and business processes. With AWS, acquiring Boomi becomes a straightforward process, avoiding the need for complex installations.

Licensing Options and Support

Boomi on AWS Marketplace provides flexible licensing options, including subscription models based on usage and data volume. Trial periods give you the ability to test the platform’s functionalities before committing.

Support packages vary from basic support, offering access to community resources, to premium packages with dedicated support channels, crafted to address complex integration needs. You can choose the level of support that matches your enterprise requirements.

Implementation Process Overview

To acquire Boomi through AWS Marketplace, start by logging into your AWS account and searching for “Boomi.” Select the package that fits your requirements and click “Continue to Subscribe.” Review the pricing details, accept the terms, and confirm the subscription.

Next, access the Boomi platform through the AWS Management Console. Follow the on-screen instructions to configure and connect to your existing data sources, allowing you to start integrating applications almost immediately.

Access to Boomi’s Resources

Boomi offers a wealth of support resources, including detailed documentation, knowledge bases, and video tutorials. The Boomiverse community forum connects you with Boomi experts and other users to address questions and share best practices. Boomi’s support center provides quick access to troubleshooting guides, helping you resolve issues promptly during implementation.

Implementation Best Practices: Using Boomi for a Successful SAP Datasphere Migration

Pre-Migration Planning

A successful migration begins with a solid pre-migration plan. Start by conducting a thorough data assessment to identify data sources, formats, and any inconsistencies. Preparing the environment is critical—check system compatibility and allocate sufficient storage and processing resources. Establish team coordination by assigning roles, setting up communication channels, and creating a timeline for each phase of the migration. This checklist minimizes unexpected hurdles, allowing a smoother migration process.

Using Boomi’s Accelerators

Boomi’s accelerators simplify the configuration of data connections and mappings, reducing manual intervention. Use these accelerators to create custom integrations for SAP Datasphere, managing complex data transformations and mappings. Configure data connections using pre-built templates, which support a wide range of data formats. Initiate migration tasks with minimal scripting, saving time and reducing errors. These tools facilitate a smooth transition from SAP BW to Datasphere, maximizing the use of existing data.

Testing and Validation

Post-migration testing is essential for maintaining data accuracy. Begin by comparing data samples between SAP BW and Datasphere to verify consistency. Use Boomi’s testing tools to simulate data flows, identifying any discrepancies in real-time. Implement automated data validation procedures to check for missing values, incorrect mappings, or format mismatches. Incorporating regular audits during this phase helps to maintain data integrity and reliability throughout the migration.

Post-Migration Optimization

After migration, focus on refining data workflows using Boomi’s automation tools. Set up scheduled data synchronization tasks to keep information up-to-date across systems. Use Boomi’s monitoring features to track data flows, identify delays, and adjust configurations to improve data processing speeds. Improve ongoing data management by creating automated error-handling workflows, reducing the need for manual intervention, and boosting system performance.

Boomi’s Post-Migration Services

Continuous Data Integration

Boomi provides continuous data integration across various applications and cloud environments. Its platform connects multiple data sources in real time, supporting synchronization and data movement across the ecosystem. With its extensive library of connectors, you can link SAP Datasphere to CRM, ERP, and other systems without complex coding, keeping your data up to date and accessible.

Data Governance and Compliance

Boomi’s platform aids in maintaining compliance and governance post-migration through features like data encryption, role-based access controls, and audit trails. Its built-in data validation guarantees that data meets regulatory standards before integration. The monitoring dashboard gives you a clear view of data flows, allowing you to identify and address potential compliance risks swiftly, keeping sensitive information secure.

Scalability for Future Growth

Boomi adapts to evolving data management needs, providing a platform that expands as your data grows. The architecture allows you to extend integrations and data processing functions without needing extensive system overhauls. With Boomi, new data sources, applications, or services can be integrated seamlessly, supporting your business’s growth trajectory and changing operational requirements.

Conclusion

Boomi turns the SAP Datasphere migration into a manageable, strategic opportunity. By using Boomi’s low-code platform, pre-built connectors, and intelligent data management tools, you gain more than just a migration – you gain a unified data approach where real-time insights guide better decisions. With Boomi, fragmented data becomes a cohesive asset, fully prepared for AI and analytics, helping you unlock new levels of efficiency and insight.

Sage IT’s Boomi Integration expertise helps you transition smoothly with solutions designed for your SAP environment. We don’t just handle migration; we transform your data into a valuable asset, fully prepared for AI, analytics, and future business growth.

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