In light of the vision 2030 realization, the Kingdom of Saudi Arabia seeks towards a new era that enhances the performance of government agencies, increases their level of transparency and responsibility, and encourages the diversification of the economy and the use of data-driven services, and therefore Saudi has issued the National Data Management Office NDMO

, and urges all authorities to establish data management offices in the government and private sectors under the supervision of the National Data Management Office.

What is Data Management?

It is the process of collecting, organizing, storing and managing data by the company as its most important resource, and its importance is data in that:

  • It is an important part of the process of deploying information technology systems, which contribute to the management of commercial applications.
  • It provides information that helps managers make appropriate decisions, and in strategic planning that will improve marketing campaigns, thus increasing sales and profits for the company.
  • In addition, a strong approach to data management helps to avoid the company’s data breaches and problems related to compliance with regulations, which may damage the company’s reputation and expose it to legal risks.

Data services are divided into five main groups:


  • Consulting Services

    – Establishment of the Data Management Office
    – Building the operational model and selecting cadres
    – Identify and describe use cases
    – Recommendations on data quality management
    – Implementation of big data/evolution strategies and detailed roadmaps
    – Big Data Solutions Architecture + Outline of the Optimal Technology Suite
    – User Adoption Strategies
    – Experimental mini-applications (for large projects)

  • – Data analysis
    – Engineering and design of data and big data solutions
    – Develop data reports and dashboards
    – Development of data and big data solutions
    – Develop data sharing solutions
    – Data transfer
    – Preparation of data governance procedures (big data quality, security etc.)
    – Development of machine learning models
    – Data Security

  • – Data and big data solutions management
    – Update data software and big data
    – Add new users and handle permissions
    – Data and big data management
    – Data cleaning
    – Data backup and restore
    – Health checks for data solutions
    – Data solution performance monitoring and troubleshooting

  • – Infrastructure preparation and support for data solutions.
    – Big data mining and management.
    – Develop and adjust machine learning models.
    – Predefined and customized reports (within several weeks after starting our cooperation)
    – Development of big data solutions.

  • – Preparation and implementation of data awareness plans
    – Training and qualifying cadres in the fields of data management and governance
    – Building awareness content
    – Holding workshops in the field of data

 

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