Bring customer, product, supplier, employee, location or other critical master data under clearer definitions, quality rules and ownership. Rudrriv helps you assess the current state, design the golden-record logic and plan a practical MDM implementation without treating every source system as equally trustworthy.
Starting at $29 USD. Standard starter and blueprint delivery: 5–7 working days. Platform implementation and software licensing are scoped separately.
Start with a narrow data-quality review, define a single-domain MDM blueprint or scope a full implementation. The lower-cost plans are intentionally limited so the work remains clear and usable.
For teams that need a focused first look at one master-data problem.
A compact assessment that turns a small sample of master data into a clear quality and standardization action list.
For businesses preparing to formalize a trusted master record and governance model.
A structured blueprint for one master-data domain, connecting source fields, quality rules, matching logic, ownership and implementation priorities.
For organizations that need platform configuration, migration, integrations or multiple data domains.
A tailored delivery scope for implementation-heavy MDM requirements after discovery of systems, data volumes, rules and controls.
Get in touch with our expert. Tell us what you need, and we'll help identify the most suitable service, scope and pricing for your requirement.
A structured six-step flow turns scattered master-data definitions and source records into agreed rules, a proposed master model and an implementation-ready handover.
Confirm the priority entity, business problem, systems and expected outcome.
Inspect field structures, duplicates, inconsistencies and known data-quality risks.
Define the proposed master attributes, identifiers, definitions and required values.
Document how records are matched, merged and selected when sources disagree.
Set ownership, review points, exception handling and change responsibilities.
Prioritize implementation actions, dependencies, controls and next delivery steps.
MDM is most useful when the business agrees what an entity means, which attributes matter, which source is trusted and who is allowed to approve changes. Rudrriv can focus the service on one priority domain before you expand the operating model.
Identity, contact, hierarchy, relationship and duplicate handling.
SKU structure, naming, categories, attributes and lifecycle status.
Vendor identity, legal details, classifications and approved relationships.
Worker identifiers, organizational relationships and governed attributes.
Sites, addresses, codes, regions, hierarchies and location ownership.
Controlled identifiers, classifications, reference lists and shared definitions.
A reliable master record is not just a deduplicated file. The rules should explain why two records represent the same entity, which value survives a conflict and when a person must review the decision.
Rudrriv documents the decision chain so future implementation can be tested rather than guessed. The blueprint can be used as a platform-neutral handover for your chosen MDM technology or engineering team.
The exact files depend on the plan, but the outputs are designed to make the next MDM decision clearer for business owners, data teams and implementation specialists.
Focused observations on duplicates, missing values, inconsistent formats and fields that need clearer rules.
AssessmentProposed attributes, identifiers, definitions, required values and field-level ownership for the chosen domain.
BlueprintDocumented logic for record matching, source precedence, conflict handling and stewardship review.
Rule SetPrioritized actions, dependencies and delivery considerations to move from design into implementation.
RoadmapThis comparison shows the operating-state change created by the service itself. It is not a customer case study and does not imply guaranteed business results.
Teams may refer to the same customer, product or supplier using inconsistent field names and rules.
There is no agreed matching threshold or review path when records appear to represent the same entity.
Source precedence is informal, making it difficult to explain which address, status or identifier should survive.
Data changes, exceptions and quality issues can move between teams without defined stewardship responsibility.
Important master attributes are defined consistently and mapped to the relevant sources.
Duplicate decisions use agreed identifiers, comparison attributes and exception thresholds.
Source trust, recency or ownership rules explain which value becomes the proposed master value.
Uncertain matches, rule exceptions and master-data changes have a clearer decision path.
You do not need a perfect data estate before starting, but the engagement is more useful when the priority domain, sample source structure and business decision points are visible.
Customer, product and supplier mastering can share principles but require different attributes, rules and owners.
Platform configuration, migration, integrations and production workflows need engineering scope beyond the starter plans.
High-impact or uncertain merge decisions may require human approval rather than fully automated processing.
These are illustrative purchase scenarios, not claims about specific Rudrriv customers or project results.
Define how customer identities and attributes should be matched across CRM, billing, support or other source systems.
Structure product identifiers, names, categories, attributes and lifecycle fields before migration or catalog expansion.
Clarify vendor identifiers, required attributes, approval rules and duplicate handling across procurement and finance sources.
Document the master-data model, quality rules and ownership required before ERP, CRM, data-platform or MDM implementation work begins.
The service focuses on practical clarity rather than unsupported outcome promises.
Agree what the entity and its important attributes mean.
Document data-quality, matching and validation expectations.
Clarify who reviews exceptions and approves material changes.
Give delivery teams an explicit model and prioritized backlog.
Start with one domain before adding systems or domains.
Understand the scope, deliverables, pricing, timing and implementation boundaries before choosing a plan.
Master Data Management (MDM) is the structured approach used to define, standardize, govern and maintain trusted master records for core business entities such as customers, products, suppliers, employees or locations. The goal is to reduce conflicting versions of the same entity across systems and establish clear rules for a reliable master record.
The exact scope depends on the selected plan. Work can include master-data discovery, source and field review, data-quality checks, duplicate analysis, standardization rules, master-data model recommendations, matching and survivorship logic, stewardship responsibilities, governance controls and an implementation backlog.
The service can be scoped around common domains such as customer, product, supplier, employee, location, asset or reference data. A focused engagement normally starts with one priority domain so definitions, rules and ownership can be agreed before expanding.
The entry plan starts at $29 USD for a focused master-data quality starter scope. A single-domain MDM blueprint is priced at $249 USD. Implementation, integration, migration or multi-domain programs are quoted after Rudrriv reviews the systems, data volume, rules, security requirements and delivery complexity.
The standard delivery window shown for this service is 5–7 working days for the defined starter and blueprint scopes. Larger implementation or migration engagements require a separate delivery plan after discovery.
Useful inputs include the priority master-data domain, source-system list, sample files or field layouts, known duplicate or quality issues, current ownership or stewardship roles, target systems, business rules and any security or compliance constraints that affect the data.
The starter scope can include a limited data-quality and duplicate review, while wider cleansing or deduplication can be included in a larger scope. Production changes are not made automatically: rules, thresholds, exceptions and approval responsibilities should be agreed before records are merged or replaced.
Yes. A blueprint can define the proposed master record, priority attributes, source precedence, matching conditions, survivorship rules, validation checks and stewardship decisions needed to create and maintain a trusted version of the entity.
No. The $29 starter and $249 blueprint are focused advisory and data-definition scopes. Platform configuration, integrations, migrations, workflow development, testing and production deployment require a custom implementation quote.
Yes. Rudrriv can scope work around your chosen domain, data volume, number of source systems, required governance depth, target platform, migration needs and delivery model. The custom engagement is confirmed after the requirement is reviewed.
The MDM Data Quality Starter includes one revision round and the Single-Domain MDM Blueprint includes two revision rounds. Revisions refine the agreed scope and deliverables; materially new domains, systems or requirements may need a revised quote.
Submit the enquiry form with your priority data domain, known issues, source systems and desired outcome. Rudrriv will review the requirement and confirm whether the starter, blueprint or a custom implementation scope is the best fit.
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