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Information Management

Information Management is an approach to data management that recognizes that the value of information changes over time and that it must be managed accordingly.   It is an umbrella term that encompasses all the systems and processes within an organisation for the creation, management and use of data, converting it into actionable information and insights to drive business strategies and gain significant competitive advantages.

Information management, however, involves much more than just technology.   In order for Information Management projects to be successful, a holistic approach which coordinates people and business processes as well as technological innovation, such as Data Governance & Data Architecture, must be addressed.   Furthermore Information management requires the adoption and adherence to guiding principles that include:

  • Information assets are corporate assets and belongs to the organisation.
  • Information must be made available and shared, with proper mechanisms and process to ensure usage is not exploited.
  • Information needs to be managed and retained corporately so that information can be retained and archived easily and yet still made available to the organisation when required.
  • Information management is a corporate responsibility that needs to be addressed and followed from the upper most senior levels of management to the front line worker

Here at Azendian, we help our clients manage their data from disparate sources, make the data available when needed, in the format required and with the best possible quality.   Through the effective use of the right technology, be it a platform or best of breed, we help our clients recognise the value of their data and in their efforts to manage that data across the entire data life cycle.

Our Information Management capabilities & services range from conceptualisation to Implementation and delivery and includes the following:

  1. Data Governance Framework development and implementation
  2. Data Warehousing and Business Intelligence Management
  3. Data Architecture & Design
  4. Data Transformation & Integration
  5. Database Management

 



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