Data Management: definition and principles

WMDC data management

Data management: a strategic vision of the company

The GAFAMs have shown how effectively data management creates value and competitiveness. Data Management is a strategy that organizes the company around data. This strategy impacts the organization of the company, its marketing and its investment decisions. Data is treated as assets with financial value.

Data Management: the challenges for companies

The goal of data management: to improve the overall performance of the company. This concerns both defensive actions (security) and the development of offensive capabilities (productivity).

  • The reliability of management and decision support tools
  • Compliance with regulatory and legal obligations
  • Data privacy and security
  • The accuracy, consistency and traceability of the data
  • Optimization of data costs
  • The ability to innovate and address opportunities (time to market)

Data management: tools and methods

Data Management includes methodologies aimed at securing data availability, data quality, data reliability and associated costs.

  • Strategic vision in data management
  • Financial valuation of data and data quality gaps
  • Global data governance
  • Data management processes and methods
  • Method for sharing master data (Master Data Management)
  • Architecture of systems and interfaces optimizing data sharing
  • Business data architecture (data models, MCD, MLD, MPD)
  • Data Quality checks

Data Management: a role in the company

The role of Data Management in information management

If we compare the production of data to the production of objects in a factory:

  • Information system => production lines
  • Business employees creating information => Production line staff
  • IT teams => Industrialization department designing and building production lines
  • Data Management teams => Specifications of the production line chain + quality control
  • Data => Production whose sale will generate the company's income

An interface between the Technology and Business teams

Many IT projects turn out to be disappointing because the players have focused on technology and business processes, to the detriment of the essential: data. The Data Management teams have an interface role between IT services (information technologies) and the business. This role is not easy, because IT and business have long handled projects directly together.

  • IT project managers are sure to understand business needs, then select and implement the right technologies
  • Business leaders are sure of their business knowledge and they have a precise idea of their tooling needs
  • Data Management puts data back at the center of projects, thus creating value for the company.

A global vision of the data

Data Management takes into account the management of the data over their entire lifecycle (Data Lifecycle Management, DLM).

  • Initial specification of the data (Data requirements)
  • Data creation (acquisition, manual entry)
  • Data storage
  • Data maintenance (version history)
  • Uses of the data (tracing, lineage)
  • Data retention and archiving

Fields of application of Data Management

  • Regulatory compliance (GDPR)
  • Business intelligence (BI), Analytic applications
  • Data science, Data engineering
  • E-commerce, sales, customer relations
  • Engineering (CAD), configurators
  • Industrial IT, production, logistics, supply chain
  • Software development

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