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Data Management and Governance

Public data is a valuable resource that can improve performance and productivity and streamline the delivery of public services. Effective data management procedures, the strictest standards of data accountability and transparency, and the use of data to derive insights and support strategic decision-making can all help achieve this. Worldwide, nations are utilizing data as a valuable economic resource to unlock innovation, propel economic growth and transformation, and boost competitiveness on a global scale.

The Kingdom of Saudi Arabia's government organizations gathers and process enormous amounts of data that can support economic growth at home and position the country as a leader in the world's data-driven economies.

Data Management Process:

  • Data Governance

  • Master data and Meta Data Management

  • Database Systems

  • Data Warehousing and Business Intelligence

  • Data Quality Control

  • Data Integration and Interoperability

  • Data Transformation

  • Data Architecture

Data Management RoadMap:

EBHAR can assist your organization in developing and putting in place a reliable data management procedure. We'll assess your present situation and create a plan to help you advance through the following:

  • Strategy

    The first and most important step is to understand your business. After extensive investigation and discovery, we work with you to create a unique data management strategy

    • Conduct an inventory of your information systems, note the data sources, and evaluate the procedures, equipment, and vendors used in data management
    • Determine which systems should be used by or feed other systems or reports, and which are the primary sources of data, such as customer information.
    • Establish a data management roadmap and collaborate with you to design the data architecture that will best gather, purify, transform, and store your data for easy access, analysis, and reporting

  • Implementation

    To make it happen, we link your strategies and goals with data management techniques

    • Combine data from various sources; if necessary, validate and clean it.
    • Design database solutions.
    • Develop the necessary programs to extract, transform, and load data from various sources into a data warehouse
    • Establish and put into place policies and procedures to guarantee accurate data collection.
    • Produce documentation, such as data dictionaries, that precisely defines each data element and identifies the sources of the data as well as any cleansing, transformation, or enhancements that have been made so that the data can be used correctly by others.
    • Establish a change management process with your teams to make sure that changes are effectively communicated and managed to maintain data integrity.

  • Optimization

    Data management ought to be an ongoing procedure. We will evaluate the effectiveness of the plan and keep adjusting the specifics as requirements and KPIs.

    • Track the availability and uptime of the data warehouse and databases
    • Assess and optimize procedures to reduce errors and load times.
    • Track the success of data quality. Set up an automated system for quality control of the data.
    • Ongoing change management for the best project implementation in terms of speed, scope, and quality.
    • Coordinate with the data governance program to guarantee efficient operations and ongoing improvements