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Boomi Data Management

Integrate, orchestrate, and activate data products with AI-driven data management

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“Integration has become a critical part of our growth.”
— TK Balaji, CIO
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Struggling with inconsistent data across systems?

Teams end up working off conflicting reports and decisions based on outdated numbers. We synchronize data across sources with bi-directional flow to keep information clean and harmonized.

Master data causing duplicate records?

Duplicate entries slow reporting and force manual reconciliation before teams can trust the numbers. We centralize and clean core data in Boomi Data Hub to keep processes running smoothly.

Not sure if your data is AI-ready?

AI and RAG initiatives stall or return unreliable results without a clean, connected foundation. We build that foundation, with Meta Hub adding context so AI agents work from trusted data.

Worried about frequent data errors?

Regulatory risk and audit failures follow when data errors go unchecked. We encrypt sensitive data in Boomi Data Hub, so your organization manages information securely and responsibly.

Build a Trusted Foundation for AI-Ready Data

Managing enterprise data requires a trusted source of truth. Without centralized governance and synchronization, inconsistent data undermines operations and AI outcomes. Gartner predicts that by 2026, organizations will abandon 60% of AI projects unsupported by AI-ready data, while 63% report lacking confidence in their data management practices.

LevelShift's Boomi Data Management services create a trusted foundation for AI by unifying, governing, and activating enterprise data. Data Integration connects data across systems, Data Hub centralizes and synchronizes trusted master data, and Meta Hub adds business context and lineage for AI-ready decisions. Together, they deliver trusted data for analytics, automation, and agentic AI. Gartner recognized Boomi as a Challenger in the 2026 Magic Quadrant for Master Data Management, recognizing the growing importance of trusted data foundations for AI.

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LevelShift’s Suite of Boomi Data Management Solutions

Data Integration

Connect, ingest, and transform data across enterprise systems with Boomi's no-code connectors and scalable ELT pipelines.

Data Hub

Create a trusted source of truth by centralizing, synchronizing, and governing master data across the enterprise.

Meta Hub

Ground AI agents with trusted business context, metadata, and lineage for accurate, governed decisions.

Data Orchestration

Automate and govern data pipelines with intelligent scheduling, dependencies, and workflow controls.

Data Modeling

Design scalable data models that deliver consistent, business-ready information across domains.

Managed Services

Optimize your Boomi Data Management environment with proactive monitoring, performance tuning, and ongoing support.

Customer Impact

Eliminating Data Silos and Automating Operations

Post Consumer Brands faced fragmented data across multiple acquisitions, legacy ERP dependencies, and siloed systems with no single source of truth. By implementing Boomi Integration, Boomi DataHub, and an event-driven architecture across JD Edwards, Snowflake, Kinaxis Maestro, and HighRadius, LevelShift centralized master data, automated supply chain workflows, and streamlined cash management across the enterprise.

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Centralized Master Data Management

Boomi DataHub unified master data across applications, eliminating silos and ensuring consistency.

Improved Supply Chain Management

Event-driven architecture synchronized sales, inventory, demand, and capacity planning in real time.

Created a New MRO Data Standard

Streamlined parts and plant synchronization across asset management applications.

Our Boomi Data Management Implementation Process

LevelShift structured implementation approach unifies, governs, and activates enterprise data for analytics, automation, and AI. We help you build trusted, business-ready data with scalable integration, governance, and operational visibility.

Our Fabric Implementation Approach

Build a connected data foundation with our experts.

Transform fragmented data into trusted master data that drives connected business operations.

Dhanasekaran Vasudevan
Dhanasekaran Vasudevan

AVP - Enterprise Integration

LevelShift’s AI-infused Boomi360 service offerings

Agent Management

Integration Services

Automation Services

API Management

Data Management

Managed Services

Our AI-Powered Pre-Built Accelerators

Jumpstart Accelerator

Jumpstart Accelerator

Our Jumpstart framework accelerates Boomi implementation with reusable templates, best-practice configurations, and rapid deployment components to help businesses onboard faster and reduce setup time.

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AI-Based Boomi Migration Solution

AI-Based Boomi Migration Solution

Our AI-based migration solution streamlines transition to Boomi, automates mapping, handles legacy platform differences, and minimizes downtime—ensuring a fast and low-risk migration with improved operational continuity.

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AI-Based Log & Exception Solution

AI-Based Log & Exception Solution

Our custom log and exception handler framework swiftly identifies exceptions, categorizes business and technical errors, and ensures faster error resolution for smoother operations.

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AI Enabled Automated Customer Service System

AI Enabled Automated Customer Service System

Our intelligent support framework automates query handling, classifies incoming requests, and reduces manual effort to maintain consistent and timely support.

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Why Choose LevelShift for Boomi Data Management?

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Certified specialists across Data Integration, Data Hub, Meta Hub, and governance.

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Proven expertise in delivering trusted, governed, AI-ready enterprise data.

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Reusable accelerators, proven methodologies, and managed services for faster delivery.

Our Perspectives

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FAQs

An MDM model is the framework we design to organize and manage your critical data. It defines how data is standardized, governed, and kept accurate across systems, forming the backbone that Data Hub and Data Integration build on top of.
Our team configures Data Hub with data modeling, matching and deduplication, validation rules, governance workflows, data masking for sensitive fields, and profiling statistics, alongside Boomi Data Integration for real-time pipelines that keep source systems in sync.
MDM is the discipline: the practices and rules used to manage core data across the enterprise. Boomi Data Hub is the platform that delivers it, paired with Data Integration for real-time sync and ELT pipelines, providing the scalable foundation your MDM goals depend on.
Enterprises are moving from using data for reporting to using it to drive autonomous AI decisions, which raises the stakes for accuracy considerably. Gartner's research shows 63% of organizations aren't confident they have the right data management practices in place for AI, which is largely why the discipline is getting renewed executive attention.
Boomi Data Integration handles real-time ingestion and analytics-ready pipelines, using Change Data Capture and hundreds of no-code and low-code connectors. Data flows into Data Hub continuously rather than in scheduled batches, keeping golden records current as source systems change.
Command Center is Data Hub's stewardship layer, giving teams dynamic visualization, source-level tracing, and historical metadata analysis, backed by automated quarantine workflows and ServiceNow-powered ticketing for faster error resolution.
We start with Data Hub to establish clean, governed golden records, then layer in Boomi Meta Hub to attach business context, curated glossaries, and lineage tracing. This ensures AI agents work from accurate data and a shared understanding of what that data actually means in your business.
For AI agents, governance means more than access control. It means ensuring the data an agent acts on is accurate, current, and correctly interpreted. Meta Hub supports this by linking technical data assets to expert-endorsed business definitions, so agents don't misinterpret fields or make decisions on ungoverned assumptions.

Build governed, high-quality enterprise data with Boomi Data Management.

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