Enterprises across the globe are quickly adopting big data analytics to identify patterns and enable better decision making. Getting actionable insight helps organizations to improve decision making, utilize opportunities, minimize risks, and drive down costs. However, it is important to have a well-defined strategy, and a robust supporting infrastructure for a successful big data transition.
Firstly, you should begin by identifying the decisions that matter to your organization and build a model of informed decision making, and then moving on to identify the analytics and data that will prove useful. For example, if your goal is to improve decision-making, you should start by clearly defining the decisions that need to be improved.
Secondly, organizations must understand that in order to leverage big data analytics, they have to bring the right data to the right people in the right format, and acknowledge the fact that if the data isn’t easy to use and accessible to everyone, it will seldom be used. The tools also have to appeal to end users and the best way to do it is to enable better collaboration by involving the people in building the tools, incorporating ideas and receiving feedback from end-users.
Lastly, a successful big-data transformation has the potential to impact everyone in the organization – not just the IT department. All business processes have to be aligned with each other, and have clearly defined objectives, so that you can evaluate and prepare for the impact that changes in organizational structure will have on the transformation.