However, poor data quality remains a persistent challenge. Keeping information accurate, consistent, and synchronized across numerous systems strains already overworked IT teams. And without trusted data, the lifeblood of any business, efficiency and growth suffer.
Boomi DataHub is built to solve this. Its agile, cloud-native capabilities empower data stewards to model, match, synchronize, cleanse, and enrich data across the organization. With DataHub, scaling your data governance is effortless, enabling your business to keep pace with growing data volumes while accelerating outcomes.
Boomi DataHub vs Traditional Master Data Management (MDM)
Businesses today need faster, smarter ways to manage data. Here’s how Boomi DataHub stacks up against traditional Master Data Management (MDM) solutions across key features.
| Feature | Boomi DataHub | Traditional MDM |
| Deployment | Cloud-native, rapid deployment | Often on-premises, long setup cycles |
| Scalability | Highly scalable for growing AI and data workloads | Limited by hardware and licensing constraints |
| Data synchronization | Real-time or near real-time sync across systems | Batch-based updates, slower data refresh |
| Integration | Seamless with diverse applications via Boomi platform | Integration can be complex and costly |
| AI readiness | Delivers governed, high-quality data for AI | Requires extensive prep for AI compatibility |
| Cost and maintenance | Lower TCO, automatic updates | High upfront cost, ongoing maintenance overhead |
| Security and compliance | Built-in encryption, access control, meets GDPR/CCPA | May need additional tools for compliance |
What is Boomi DataHub
Boomi DataHub (formerly Master Data Hub) is a cloud-native master data management (MDM) solution that helps organizations synchronize data across sources, ensure consistency, and maintain governance.
It provides a trusted foundation to get data AI-ready by improving quality, eliminating duplicates, and delivering reliable, unified records. With built-in capabilities to secure sensitive data, DataHub enables businesses to confidently support operational, analytical, and AI workloads while driving trusted business outcomes.
Post Consumer Brands, one of North America’s leading cereal makers, was dealing with fragmented data across multiple systems. Inconsistent records made it difficult to maintain trust in the information fueling operations and insights. Using Boomi DataHub’s capabilities, they unified everything into a single, governed source of truth, ensuring accurate, consistent master data that powers both business and AI-driven decisions.
Six Reasons Why Boomi DataHub (MDH) is Critical for AI-Driven Enterprises
AI success depends on the strength of your data foundation. From safeguarding sensitive information to enabling scalability, here are six reasons why Boomi DataHub (MDH) is indispensable for enterprises embracing AI.
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Safeguarding sensitive data
Boomi DataHub secures sensitive data through encryption at rest and strict access controls, ensuring only authorized users can view it. By exceeding regulatory requirements like GDPR and CCPA, it preserves data privacy while maintaining trust. Its authentication methods verify user identities and enforce appropriate data visibility levels. -
Reducing data fragmentation
With DataHub, every system across your enterprise stays perfectly synchronized. This eliminates inconsistencies, ensures reporting accuracy, and aligns AI models with the same trusted dataset. Unified data reduces confusion and supports confident, data-driven decision-making. -
Enabling AI-ready data
Boomi DataHub delivers high-quality, governed, and reliable data that is ready for AI applications. It ensures the accuracy, relevance, and accessibility that AI algorithms need to provide actionable insights. This accelerates innovation and boosts the success rate of AI initiatives. -
Supporting real-time data synchronization
Boomi DataHub ensures real-time or near-real-time data synchronization across all systems, which enables AI models to respond to the latest operational changes and market trends. Post Consumer Brands faced challenges with scattered inventory, cash, and supply chain data. With LevelShift implementing Boomi DataHub, they centralized master data and streamlined workflows, achieving faster, more reliable data synchronization across the enterprise. -
Ensuring data trust for AI accuracy
Poor data quality can lead to flawed AI outcomes. Boomi MDH applies validation, enrichment, and error reconciliation continuously, creating a single source of truth. Trusted data means AI outputs are more accurate, reliable, and impactful. -
Scaling AI across the enterprise
As AI use cases grow, so does the volume and complexity of data. Boomi MDH’s scalable architecture supports the expansion of data workloads without sacrificing speed or quality. This flexibility allows enterprises to roll out AI initiatives across multiple functions confidently.
Eight Core Features of Boomi DataHub (MDH)
What makes Boomi DataHub truly stand out are its powerful features. From master data management to data masking and synchronization, let’s take a closer look at eight core capabilities that drive trusted, enterprise-wide data excellence.
- Master Data: A low-code, visual interface speeds up the matching and merging of accurate records across the business. This accelerates the creation of clean, consistent master data. At Post Consumer Brands, flat-file data transfers resulted in latency and operational overhead, highlighting the need for golden records and accurate master data. LevelShift launched a master data management initiative, using Boomi DataHub to create clean, standardized employee records for Post. This eliminated manual flat-file sorting and delivered trusted master data across applications.
- Collective Intelligence: Boomi Suggest taps into the developer community’s expertise to recommend fields for data models. This reduces the time needed to enhance data structures. Models are enriched with proven, real-world best practices.
- Data Quality and Synchronization: Boomi DataHub applies continuous validation, enrichment, and error reconciliation to maintain accuracy, ensuring a reliable single source of truth. With real-time, bidirectional synchronization via Boomi Integration, records remain accurate and up to date across all connected systems—delivering smooth, consistent data flow organization-wide.
- Comprehensive Matching: Built-in matching processes consolidate records and remove duplicates automatically. This creates a unified, error-free view of critical data. Businesses can trust the consolidated data for decision-making.
- The Golden Record: DataHub maintains a centralized repository of golden records for customers, products, and more. These represent the most accurate version of critical data. The golden record serves as the foundation for trusted data use.
- Data Masking replaces sensitive information with fictitious but usable values, preventing unauthorized access while preserving functionality. It ensures compliance with regulations such as GDPR and HIPAA. With masking, DataHub guarantees responsible and ethical data handling across the environment.
- Profiling Statistics enable the analysis of golden records per field, providing insights into uniqueness, completeness, and quality issues. These insights help improve data modeling rules and inform governance processes.
- DataHub Command Center (Powered by ServiceNow®): The Command Center combines Boomi DataHub’s data management capabilities with ServiceNow’s workflow and tracking. It provides visualization, source linkage, and historical metadata analysis.
Boomi DataHub in Action: Use Cases
The real value of Boomi DataHub comes to life when applied across industries. Here’s how organizations in financial services, eCommerce, HR, healthcare, and more are using it to unify, govern, and optimize their data.
- Customer 360 for Financial Services: Unify customer records across banking, insurance, and wealth platforms for a single source of truth, driving personalized experiences.
- Unified Product Catalog for eCommerce: Consolidate product data from suppliers, marketplaces, and internal systems into one governed catalog with consistent, real-time updates.
- Trusted Employee Data in HR Systems (e.g., SAP SuccessFactors): Maintain accurate, synced employee data across HR, payroll, benefits, and compliance systems to reduce errors and improve employee satisfaction.
- Multi-System Sync Across ERP, CRM, and eCommerce Platforms: Keep orders, inventory, pricing, and customer details consistent across multiple enterprise systems in real time.
- Integrated Patient Data for Healthcare Providers: Combine clinical, operational, and insurance data into a governed hub to improve patient care, reduce errors, and meet HIPAA compliance requirements.
- Unified Asset and Application Data: Centralize asset inventories, application usage stats, and licensing data across hybrid IT landscapes to optimize costs and improve governance.
Six Best Practices to Make Your Data AI-Ready
Adopt these six best practices to make your data AI-ready. Build a strong foundation with high-quality, trusted data, store it securely, and enforce governance through centralized controls to accelerate AI success!
- Unify your data: Extract, transform, and load (ETL) data across on-prem, cloud, and hybrid systems with Boomi iPaaS to build integrated, governed AI-ready pipelines.
- Sync in real-time: AI thrives on live data. Enable real-time synchronization with Boomi Event Streams and APIs, ensuring your models always work with up-to-date information.
- Track lineage and transparency: Use Boomi Data Management and DataHub for metadata visibility, audit trails, and traceable data flows, critical for explainable AI.
- Govern and ensure data quality: Use Boomi Data Catalog and Preparation to profile, cleanse, and standardize data.
- Secure and stay compliant: Boomi DataHub provides enterprise-grade encryption, security, and compliance, so AI operates on safe and compliant data.
- Automate and scale fast: Accelerate AI readiness with Boomi’s 300+ pre-built connectors and automated workflows. Scale up without heavy coding.
Five Steps to Implement Boomi DataHub – The LevelShift Way
Getting started with Boomi DataHub doesn’t have to be complex. At LevelShift, we follow a clear five-step approach to help enterprises design, deploy, and govern their data hub for long-term success.
- Design master data models
LevelShift collaborates with you to define comprehensive master data models aligned to your business goals, ensuring your data foundation is structured for accuracy, scalability, and AI-readiness. - Deploy data models to the hub
Our experts configure and deploy data models into Boomi DataHub, enabling seamless integration with your enterprise systems while maintaining security and governance.
- Onboard and centralize data
We help you onboard data from multiple sources—CRM, ERP, HR, eCommerce, and more—into a single, centralized hub, creating a trusted “single source of truth.” - Data stewardship and quality control
LevelShift implements robust stewardship processes, automated workflows, and validation rules to maintain data quality, consistency, and compliance across your organization. - Govern real-time data flows
We enable governance over real-time data synchronization between applications, ensuring that your business decisions are based on the most accurate, up-to-date information.
LevelShift Powers Post Consumer Brands’ Single Source of Truth through Boomi DataHub
Post Consumer Brands struggled with siloed divisions, inconsistent data extracts, and manual, error-prone cash management in Oracle JDE. LevelShift designed Boomi orchestration processes to extract, cleanse, and synchronize master data via Boomi DataHub, then push it to HighRadius for automated workflows. This initiative centralized master data management, enabled faster data synchronization across systems, eliminated manual flat-file handling, and ensured a trusted single source of truth across the enterprise. Discover the full impact in the case study.
Why Choose a Boomi Partner for DataHub Implementation?
Our Boomi DataHub services connect data pipelines, support integration efforts, and improve data quality with tailored licenses. It can be implemented across domains in a matter of weeks.
DataHub empowers organizations with a foundation of trusted, high-quality data, ready for any business decision, while ensuring compliance, safeguarding sensitive information, and enabling seamless system connectivity.
With consistent, accurate, and unified records, backed by AI-driven metadata insights, DataHub mitigates data misalignment and fuels automation for smarter, faster outcomes.
Talk to LevelShift experts and see how we can help you build a trusted data foundation for your business.
FAQs
What does Boomi DataHub do for master data management?
Boomi DataHub centralizes and harmonizes master data across multiple systems, ensuring that all departments work with clean, consistent, and accurate records. It reduces duplication and improves overall data reliability.
How can Boomi DataHub simplify supply chain data management?
DataHub consolidates supplier, product, and transactional data from various systems, providing a unified view of your supply chain. This helps optimize inventory, streamline operations, and make informed procurement decisions.
What is the easiest way to merge duplicate records in Boomi DataHub?
DataHub uses intelligent matching and merging algorithms to identify duplicates, allowing you to automatically consolidate records while preserving critical information from all sources.
Why do businesses need a partner for implementing Boomi DataHub?
Implementing Boomi DataHub can be complex, involving data modeling, integrations, and workflow automation across multiple systems. A trusted partner like LevelShift simplifies deployment, ensures data accuracy, and optimizes processes, helping businesses achieve clean, consistent master data quickly and efficiently.
