MDM Implementation Services

One truth. Every system.

Master Data Management is a business and technology practice to create a single trusted view of core data like customers products suppliers and locations. It aligns people process and platforms to deliver a single source of truth across the enterprise.

MDM improves data quality and consistency which reduces operational errors and accelerates analytics and AI. It also enables faster product launches and better customer experiences which drives measurable ROI.

Master data identifies the who and what like product customer and supplier. Reference data standardizes allowed values like countries and currencies. Transactions capture events like orders and invoices that link to master data. 

A Golden Record is the most trusted version of a master entity created by matching merging and survivorship rules to remove duplicates and reconcile attributes. It powers analytics and operational systems with consistent data.

Typical styles include registry consolidation centralized and coexistence. Centric selects the style that fits your integration pattern data volumes and change management maturity.

PIM focuses on product information for eCommerce and marketing. MDM covers many domains like customer vendor and location with governance across the business. They complement each other and often integrate.

A CDP builds real time customer profiles for activation in marketing. MDM creates governed master data for many domains and feeds the CDP with clean identifiers and attributes.

DAM manages digital assets such as images and videos. MDM governs core data entities. Together with PIM they enable rich product experiences and omnichannel syndication.

Data governance defines roles policies standards and stewardship workflows. MDM operationalizes those policies with data models rules and approval processes.

Fewer order errors faster time to market lower DSO improved regulatory reporting and higher marketing conversion due to accurate segmentation.

Retail and CPG need product and supplier accuracy. Manufacturing needs part and BOM alignment. Oil and gas needs asset and location hierarchies. Healthcare needs provider and patient identity. Government needs citizen and program data governance.

Common domains include product customer supplier location asset employee and reference data such as codes and taxonomies.

Begin with a discovery and assessment. Define business objectives data domains scope and KPIs. Build a phased roadmap with a first value slice. Centric runs a structured discovery to plan the data model workflows and integrations.

A focused first release for one domain can go live in three to six months depending on data complexity integrations and stakeholder readiness. Multi domain programs expand from there.

It quantifies hard savings such as reduced returns and soft benefits such as faster onboarding and better analytics. KPIs include match rate data quality scores time to publish and cycle time for approvals.

We implement Pimcore MDM and integrate with your ERP CRM and commerce stack. Pimcore provides flexible data modeling workflows APIs and scalability for enterprise use. Pimcore also has the most flexible licensing across the industry. 

Through APIs messages and batch pipelines. MDM publishes the Golden Record to SAP, Oracle, Microsoft Dynamics, Salesforce or others while consuming updates for survivorship.

Stewards monitor data quality run match and merge exceptions manage workflows and enforce standards. They are central to sustainable MDM.

It enforces validation rules standardization reference data control duplicate detection and enrichment services to increase completeness accuracy and consistency.

Matching detects duplicates using deterministic and probabilistic logic while merging applies survivorship rules to keep the most trusted attributes.

Survivorship prioritizes which source wins for each attribute based on trust scores recency and business rules to create a single trusted view.

MDM manages multi level relationships such as product categories customer corporate families and site to asset structures to support reporting and approvals.

Through locale based attributes translation workflows and channel specific formatting so product content and names remain consistent across languages.

Yes. Pimcore and modern MDM platforms run on cloud native stacks with elastic storage and compute. Hybrid and on premises options are also common.

It governs codes and lists such as units of measure and payment terms with version control and approval. This preserves consistency across systems.

Consolidation builds the Golden Record and publishes it back to systems. Centralized becomes the system of entry with authoring and governance in the hub.

By creating a governed source of identity and attributes with audit trails retention policies and consent hooks. It improves subject access and correction accuracy.

Yes. MDM pairs with PIM and DAM to publish complete product content to marketplaces eCommerce POS and print while keeping master attributes consistent.

Event streaming for near real time updates REST and GraphQL APIs for on demand access and secure batch for high volume loads.

We profile cleanse map and load historical records. We set up match rules to de duplicate and produce cross reference maps so old IDs remain traceable.

Undefined ownership scattered scope and lack of stewardship. Centric avoids this by putting governance operating models and change management in place. 

Authoring enrichment reviews and approvals run as configurable workflows with SLA and notifications so stewards can manage quality at scale.

Clean master data improves feature accuracy and identity resolution for analytics CDP and data science which raises model performance and decision quality. 

It is a mastered profile of customers with deduplicated identities linked to interactions preferences and entitlements then shared with CRM CDP and service.

It standardizes part and material data specs supplier references and plant location hierarchies and accelerates new product introduction while reducing procurement errors.

It synchronizes product attributes prices and assortments across channels and drives faster catalog onboarding and better SEO with consistent titles and attributes.

It governs asset and equipment hierarchies sites and vendors and improves maintenance planning HSE reporting and supply chain reliability.

Role based access encryption in transit and at rest audit logs and approval gates for sensitive changes. Integration tokens are rotated and monitored.

Operational systems still create records but the MDM hub reconciles and republishes mastered attributes so systems converge on a consistent view.

MDM pairs with PIM and a DAM. PIM manages channel ready product content. DAM stores images and videos. MDM keeps authoritative product identifiers and relationships.

Use reference data management with versioning approvals and impact analysis so changes do not break downstream systems.

Through event streams and low latency APIs so channels always see the latest mastered data without waiting for daily batches.

Completeness accuracy consistency uniqueness timeliness and validity with thresholds and alerts for stewards.

Profile data to find stable identifiers then combine exact and fuzzy keys like email phone address product codes and vendor numbers based on domain.

We deliver discovery data modeling governance workflows integration and change enablement on Pimcore MDM. Our approach creates a single source of truth that feeds ERP CRM CDP and commerce for measurable results.