Associations collect massive amounts of data from members, participants, and customers — and have been for years. Turning this data into actionable information can be a real challenge, but with the right strategy, processes, and tools, you can improve engagement and generate growth.
How many people in your organisation understand data? With the growing trend of digital business models, everyone should. Only those with a data-literacy mindset will have the sense of ownership and understanding along with the right set of skills to best leverage the power of your data.
Data is coming to you from multiple sources and technology platforms, and to get the most out of it, you need a data intelligence strategy. The reality is that data disrupts conventional thinking by revealing inefficiencies as well as business insights that can lead to unexpected, uncomfortable, and inconvenient outcomes based on business realities. The right use of data analytics will help solve them.
Every physical and virtual action generates data, with the analysis of data collected at events generating the first level of immediately actionable information. While this is a useful set of outcomes, it remains quite basic and logistical.
Big data and artificial intelligence (AI) offer a second level of information that can unlock much greater potential such as predictive analytics. By combining the two levels of data analytics, associations can transform assumptions into facts, understand how their products and events are consumed, and gain access to precise figures to improve operations, decision making, and customer offerings.
Associations need to find ways to use data to improve their communication and user experience. Technology can help with segmentation, personalisation, and customisation of messages that are relevant to your stakeholders’ needs and expectations.
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Clean data is crucial to an effective marketing campaign. As the flow of information continues to increase, the challenge will be to filter out the least relevant information. AI has the potential to solve this. By learning the preferences of your members and customers, it can identify trends, offer recommendations, and provide the right information at the right moment to the right target.