Will 2022 be the year of redefining ‘the culture of analytics’?

Although more organisations in the UK are harnessing the power of AI and data to drive revenue growth and improve efficiencies, now is the time for these businesses to build on their understanding of data.

Ashley Kramer, Chief Product and Marketing Officer, Sisense offers her three major predictions for 2022.

  1. Organisations will redefine what it means to build a ‘culture of analytics’

Not everyone has the time or interest in becoming a data analyst or data literate, especially now in today's post-COVID landscape where teams are understaffed, and people are valuing their time differently in and outside of work.

In 2022, organisations will redefine what it means to build a ‘culture of analytics’ and change the paradigm by bringing insights to workers in a more digestible way, turning to methods and solutions like embedded analytics that won’t require them to learn new skills or invest additional time.

  1. The most data-driven organisations will bring data to workers where they are

The rise of work-from-home and the digital acceleration brought on by the pandemic means that more people than ever are using different tools in different places to do their jobs. As a result, workers everywhere are experiencing tool fatigue, distractions, and inefficiencies from jumping around from software to software or being forced to use tools that don’t fit into their personal workflow.

Rather than investing in data/analytics solutions that add yet another tool to the mix, we'll start to see more organisations in 2022 delivering insights to employees directly within their workflows via embedded analytics (for example, directly within Slack, Teams, etc.). In this environment, workers can make data-driven decisions without thinking twice and without any disruptions.

  1. Automation turns prescriptive analytics into prescriptive guidance

For years we heard that the future of analytics will go beyond descriptive analytics (what happened) and predictive analytics (what will happen) to prescriptive guidance (what to do about it). AI combined with automation will finally make this possible by dynamically combining relevant data and alerting knowledge workers to act, in advance, before an event occurs. Customer Service reps will be notified to reach out to potentially angry customers before they even call in.

Sales leaders will react immediately to dips in revenue pipeline coverage due to upstream activities without waiting until the end of the quarter. Retail managers can optimise inventory before items sell out by combining more than just sales data, such as purchasing patterns of other items, external market trends, and even competing promotional campaigns. Prescriptive analytics will finally evolve from telling us just where the numbers are going, to helping us make smarter, proactive decisions.

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