Manufacturing leader overlooking production while holding a tablet

Enterprise Data Management

Turn fragmented data into a trusted enterprise asset.

Ultra helps manufacturers and distributors build governed, secure, AI-ready data without forcing a multi-year enterprise program.

Explore the Framework
Vendor neutralManufacturing focusedPhased to fit

No software vendor partnerships or referral fees.

Data DiagnosticA focused, low-risk starting point
10 ServicesAdvisory, delivery, and managed support
8 PhasesEnter wherever your need is greatest
One PartnerData, process, technology, and AI

The data trust gap

If you cannot trust your data, you cannot trust your decisions.

Disconnected ERP environments, conflicting master records, and unclear ownership turn routine decisions into debates. They also weaken every analytics and AI investment built on top.

“The same part number means something different in every plant.”
“We want predictive forecasting, but we do not trust the numbers feeding it.”
“We acquired two companies and still have no shared customer or vendor view.”

The EDM transformation framework

One practice. Eight phases. Ten services.

Start with the problem in front of you. Add only the capabilities needed to make the fix durable.

Security and governance apply throughout the engagement, from initial assessment through ongoing operations.

Enterprise data services

Ten ways Ultra can help.

Each service solves a specific data problem. Most clients combine two or three based on their current state and priority.

Warehouse professional scanning a barcode beside industrial components
01

Data Diagnostic

Find out why your data is creating problems and where to focus first. Ultra assesses data quality, ownership, architecture, and readiness for analytics and AI.

What you receive: A prioritized roadmap identifying critical gaps, recommended actions, and investment priorities.
Start here when: You can see the business problem, but its underlying cause is unclear.
02

Data Strategy & Governance

Give your data clear ownership and a practical plan. Define who makes decisions, which standards apply, and how teams keep information consistent as the business changes.

What you receive: A data strategy, governance framework, and defined responsibilities for managing key data.
Start here when: Your teams need shared priorities, clear accountability, and consistent data standards.
03

Enterprise Data Architecture

Plan how information moves across your business before committing to new systems. Align data models, integrations, and platforms with your operational and reporting needs.

What you receive: A future-state architecture and integration blueprint to guide technology decisions.
Start here when: You are planning an ERP, cloud, or platform change and need the pieces to work together.
04

Data Quality & Cleansing

Address the errors that undermine daily work and reporting. Identify duplicate records, correct inaccurate values, standardize formats, and establish repeatable quality checks.

What you receive: Cleansed records, data-quality rules, and a foundation for ongoing monitoring.
Start here when: Teams spend too much time reconciling reports or correcting unreliable information.
05

Data Migration & Conversion

Move the right data into your new system with a controlled transition. Map, transform, validate, and reconcile records so issues are addressed before cutover.

What you receive: Migration mappings, converted datasets, and validation results to support the transition.
Start here when: An ERP, CRM, cloud, acquisition, or divestiture project requires data to move.
06

Master Data Management

Bring conflicting customer, product, and supplier records into alignment. Establish shared definitions and ownership so each business entity has a trusted master record.

What you receive: Consolidated master records and rules for maintaining consistency across systems.
Start here when: Plants, departments, or acquired companies use different versions of the same records.
07

Data Platform Modernization

Build a data environment that can support growing business demands. Modernize warehouses, lakehouses, and pipelines around your needs for access, scale, and performance.

What you receive: A modernized data platform and data flows aligned with your architecture and priorities.
Start here when: Legacy infrastructure slows reporting, limits integration, or makes growth harder.
08

Data Analytics, BI & AI

Turn reliable information into decisions your team can act on. Connect business priorities to dashboards, forecasting, analytics, and practical AI use cases.

What you receive: Decision-ready dashboards, business KPIs, and analytics or AI models scoped to your needs.
Start here when: Your data foundation is ready, and you need clearer visibility or better forecasting.
09

Data Security & Privacy

Protect sensitive information while enabling appropriate access. Identify exposure and establish controls for permissions, encryption, retention, and privacy requirements.

What you receive: A security roadmap and data-protection controls aligned with business and compliance needs.
Start here when: Sensitive data, unclear access rights, or regulatory requirements create business risk.
10

Managed Data Services

Keep your data environment working as systems and priorities evolve. Support platform administration, pipeline monitoring, dashboards, and ongoing governance.

What you receive: A defined support agreement, health reporting, and a continuous-improvement roadmap.
Start here when: Your team needs ongoing expertise or capacity to operate and maintain the data environment.

Common client scenarios

Start with the pain point. Build the right service bundle.

Why Ultra

Enterprise discipline, sized for the middle market.

Ultra combines manufacturing knowledge with an engagement model designed around the client’s real operating priorities.

Decision factorTraditional enterprise programUltra EDM approach
Starting pointLarge transformation mandateFocused diagnostic or specific service need
ScopeBroad program with fixed workstreamsModular services matched to visible pain
Industry contextGeneral enterprise delivery modelManufacturing and distribution operating knowledge
Technology adviceOften tied to a platform ecosystemIndependent, vendor-neutral recommendations
Cross-functional workSeparate teams and handoffsEDM connected to process, AI governance, technology, and value realization
Ongoing supportTransition to another managed-services teamManaged data services built into the same practice

How we start

Start with the problem. Define the path forward.

Begin with a conversation about your data challenges. A focused Data Diagnostic can establish what to fix first, followed by the services your business needs.

Operations manager and consultant reviewing production equipment together
Start here

Discuss your priorities

Share the issues affecting reporting, operations, ERP, or AI. Agree on the right starting point.

Diagnostic: roughly 4–6 weeks

Assess and prioritize

Evaluate the current state and define a phased roadmap tied to business priorities.

Scope-led delivery

Build the foundation

Address quality, migration, master data, architecture, or platform needs in manageable phases.

Ongoing support

Operate and improve

Keep data, platforms, analytics, and governance working as your business evolves.

Timing and scope are confirmed with Ultra before work begins.

The connected advantage

Data work becomes stronger when the surrounding business changes with it.

StageEnterprise Data ManagementBusiness Process ImprovementAI GovernanceTechnology AdvisoryValue Realization
DiagnoseDiagnoses data issuesMaps broken processesAssesses AI readinessEvaluates platformsQuantifies opportunity
Build & GovernBuilds trusted foundationsAligns processes to dataDeploys on governed dataImplements selected technologyTracks benefits against the case
Analyze & OperateDelivers analytics and AIDrives continuous improvementMonitors AI risk and complianceOptimizes investmentsMeasures ROI and adoption

Frequently asked questions

What leaders ask before starting.

No. Most clients enter through one visible business problem and combine two or three services. Ultra scopes only the capabilities required to solve the problem and keep the solution working.

Start with a Data Diagnostic. It assesses maturity, quality, architecture, governance, analytics, AI readiness, and risk, then turns the findings into a prioritized roadmap.

Yes. Data Migration & Conversion, Data Quality & Cleansing, Enterprise Data Architecture, and Platform Modernization can support an active ERP, CRM, cloud, M&A, or divestiture initiative.

EDM improves the data quality, ownership, architecture, security, and governance that analytics and AI depend on. Ultra can then connect that foundation to AI Governance & Readiness and practical use-case planning.

Managed Data Services can provide platform administration, pipeline monitoring, managed BI, performance tuning, release management, and governance monitoring.

Request an EDM consultation

Bring us the data problem your team keeps working around.

An Ultra consultant will review your situation and respond within one business day. The first conversation is a no-cost scoping discussion.

30+Years advising manufacturers and distributors
1,000+ERP selection and implementation projects
0Software vendor partnerships or referral fees
1 dayTarget response time

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