FAQ Data Management
All the answers to frequently asked questions about EPM, FP&A, xP&A, PIM, MDM and DAM (Data Management): definitions, differences, use cases and best practices.
Data Management
- Why is data quality critical for management and steering?
- No steering tool, however sophisticated it may be, compensates for false, incomplete, or inconsistent data. Poor quality data generates biased analyses, causes a loss of user trust, multiplies manual reprocessing, and ultimately discredits the function that disseminates it. Conversely, reliable and governed data accelerates decision-making, reduces control loops, and frees up time for value-added analysis.
- What is reliable and governed data?
- Reliable data is accurate, complete, up-to-date, traceable, and consistent from one system to another. Governed data additionally has an identified owner (data owner), documented quality rules, a defined lifecycle (creation, validation, update, archiving), and tracked quality indicators. Governance is what ensures that reliability holds over time, beyond the initial cleanup.
- Should data be structured before launching an EPM project?
- Ideally, yes — at least within the scope concerned. Launching an EPM on fragile source data means risking spending the project correcting discrepancies rather than modeling value. In practice, we often work in parallel: we define the priority MDM/data quality projects ahead of the EPM scope, and we industrialize governance throughout the deployment. This is one of the most underestimated success factors.
MDM — Master Data Management
- What is MDM (Master Data Management)?
- MDM is the discipline that consists of managing a company's master data (customers, suppliers, products, sites, organization, etc.) in a centralized, governed, and reliable manner. The goal: to have a "single source of truth" shared by all systems, to avoid duplicates, inconsistencies, and cascading errors.
- What is the difference between MDM, PIM, and DAM?
- MDM manages all cross-functional master data (customers, suppliers, products, organization). PIM is an MDM specialized in product data, enriched for marketing (descriptions, marketing attributes, translations). DAM manages digital assets (images, videos, documents) associated with these products or the brand. The three are often complementary.
- When should you implement an MDM approach?
- As soon as multiple systems handle the same entities (CRM, ERP, e-commerce, BI, etc.) with divergent master data, or when data quality becomes a barrier to steering, regulatory compliance, or customer experience. MDM is also a frequent prerequisite for a successful data, EPM, or AI project.
- Is MDM an IT project or a business project?
- It is primarily a business and governance project. IT provides the tool and integration, but the definition of rules, data owners, validation workflows, and quality indicators is the responsibility of the business units. Without strong governance, no MDM tool keeps its promises.
PIM — Product Information Management
- What is a PIM?
- A PIM (Product Information Management) centralizes, structures, and enriches all of a company's product information: technical specifications, marketing descriptions, translations, prices, classifications, and associated media. It then feeds all distribution channels: e-commerce sites, marketplaces, print catalogs, ERP, and distributors.
- For which companies is a PIM indispensable?
- Any company managing a large, multi-brand, multi-channel, or multilingual catalog: manufacturers, retailers, B2B distributors, DTC brands, publishers. As soon as it becomes costly or risky to maintain product information in Excel, the ERP, or directly in the CMS, PIM becomes an essential foundation.
- PIM or ERP: where should product data live?
- The ERP manages transactional product data (reference, purchase price, stock, taxation). The PIM manages commercial and marketing product data (enriched descriptions, attributes, media, translations, technical sheets). The two communicate: the ERP remains the source for financial and logistical data, the PIM for marketing data.
DAM — Digital Asset Management
- What is a DAM?
- A DAM (Digital Asset Management) centralizes all of an organization's digital assets — images, videos, documents, design files, logos — along with their metadata, usage rights, and variations. It facilitates searching, sharing, multi-channel distribution, and compliance (image rights, licenses, GDPR).
- What is the difference between DAM and PIM?
- The PIM manages product data (texts, attributes, prices). The DAM manages media (visuals, videos, PDFs). Both are complementary: the DAM stores and qualifies media, the PIM associates them with product sheets and then distributes the whole set to the channels. A good PIM-DAM integration is key for visual-intensive organizations.
- Can AI help in operating a DAM?
- Yes, and it is an ongoing revolution. AI enables automatic image tagging, description generation, semantic search ("find all outdoor winter atmosphere photos"), duplicate detection, and automatic format variations. This is precisely the approach of our AÏberto solution, our AI-augmented DAM.