Data Strategy

Develop a robust and coherent data strategy and support architectures, policies, practices and procedures that enable the organisation to manage and utilise data in an effective manner. This includes introduction of innovative ways of organising, managing and integrating the data of the organisation to ensure their viability and ability to drive business value. It also includes the setting of information storage, sharing, handling and usage protocols to support alignment with relevant legislation and business strategies

Type

Functional

Competency Area

Strategy Planning and Implementation

Levels

Develop data management structures and recommend policies, processes and tools

Define data management structures to align and streamline processes of data ownership, retrieval, combination and usage

Plan processes for effective data storage, sharing and utilisation within the organisation

Update policy, standards and procedures on data management for compliance with relevant legislation

Introduce relevant standards and tools that can be applied to the management and treatment of critical data

Identify gaps, inefficiencies and potential risks in existing data management processes

Propose enhancements or modifications to data handling procedures

Establish internal processes to monitor compliance of information or data handling and access requests with approved procedures

Provide ongoing advice to ensure proper adoption of and adherence to data policies and information architectures

Extract maximum value from information assets to support decision-making

Establish data standards, internal processes and structures to enable the organisation to maximise value from data and information assets

Direct the capturing, retention and utilisation of critical data

Oversee the organisation's data architecture, including the monitoring and management of data flows

Manage usage of various forms of data to support decision-making and business processes

Anticipate the current and future information lifecycle needs of an organisation

Establish the organisation's data management strategy

Develop corporate Standard Operating Procedures (SOP), protocols and standards for data management, sourcing, handling and treatment

Establish guidelines for effective data storage, sharing and publishing within the organisation

Define a coherent data strategy

Establish a coherent data and analytics strategy, determining the use of new, existing and legacy information assets

Define the kinds of data the organisation should capture, retain and utilise

Create the processes and systems required to capture, retain and utilise critical data

Articulate the strategic value of data in the organisation and its role as a critical business asset and driver

Design the overarching data architecture for the organisation, including the definition of data flows and principles of data governance

Lead strategic utilisation and exploitation of data assets to generate business value for the organisation

Spearhead new strategies and approaches to enrich, fuse or synthesise data

Establish bird's eye view of data connections across and beyond the organisation

Chart direction on the integration and synthesis of different data pieces to draw trends and representations

Ensure alignment of information management strategy with business

direction, considering