Data management involve all the disciplines related to collect, store, process and deliver data in order to produce value. According to the Data Management Book of Knowledge (DMBOK) Data Management (or Data Resource Management) is the “development and execution of architectures, policies, practices and procedures that properly manage the full data life-cycle needs of an enterprise.”.


The practice of Data Management includes many associated and related topics. A short list of these includes:

  • Data Governance
  • Data Architecture
  • Data Modeling
  • Data Quality Management
  • Data Warehousing
  • Big Data
  • Business Intelligence
  • Business Analytics
  • Data Security Management
  • Content Management

But, many other concepts may be related to data management. For example, IoT, ERP, e-learning or CRM are just some technologies and systems that are essential tools to manage data. Other techniques like machine learning are also essential approaches. Data management also includes new approaches like block-chain.


Python e data science , Bernardo Almeida
Big data , Khrystyna Kruts
ERP, Hugo Pacheco
Blockchain,  Pauline Rosado
Data quality,  Dina Marques
e-learning,  Soraia Marques
Social CRM,  Margarida Marques
Robotica,  Ana Gaguerelho
Sentiment Analysis,  Joana Figueira
Redes neuronais,  Diana Amaro
Technology Adoption,  Joana Alexandre
Bitcoins,  Catarina Loureiro
business Intelligence, Catarina Valente