Prioritising urgent, tactical, day-to-day tasks above a long-term strategic direction is not uncommon. As the levels of complex data mount up, the only way to be truly be ‘data-driven’, is to develop and deliver a Data Strategy.
A Data Strategy will provide a clear roadmap encompassing; business objectives, identify the data sources, address the skills gap and levels of data literacy. It will examine the technologies required, that will lead to a successful application and adoption.
The team at Redland Information Systems can provide consultancy on a variety of topics, and provide support for the adoption of the tools and technologies provided, via our training and helpdesk service.
Business Requirements: Define the strategic goals and establish the KPI's
Data Assessment: Identify the data sources and map the existing architecture
Data Literacy: Assess the organisational structure, skills and learning requirements
Data Storage: Choose a data storage solution and migrate the data
Data Tools: Choose the data visualisation technology and the user experience
Data Governance: Ensure robust processes, polices and procedures are in place
Leadership, communication and workplace culture are key pillars of a robust Data Strategy. Engagement with the entire workforce is critical to establishing departmental KPI’s, understanding the existing and desired tools & tech, and acknowledging and nurturing the level of data literacy.
Data is just data, it’s how you use it that makes the magic. We hear a lot about the skills gap when it comes to data literacy and technical data skills. Employees need to be able to use the tools given, otherwise low adoption rates will continue.
The team at Redland Information Systems understands that having a robust Data Strategy is paramount for successful adoption of the tools and technology provided, and can provide consultancy on a variety of key elements.
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