Business
Redefining ‘the culture of analytics’ in 2022
Published by maria gbaf
Posted on January 26, 2022
5 min readLast updated: January 28, 2026
Global Banking and Finance Review
Company
Published by maria gbaf
Posted on January 26, 2022
5 min readLast updated: January 28, 2026
In 2022, organizations will redefine analytics culture with embedded analytics, prescriptive guidance, and flexibility in remote work to enhance data-driven decisions.
By Ashley Kramer, Chief Product and Marketing Officer, Sisense
In 2021, organisations in the UK began to increase their appetite for data. Businesses who were not that data savvy or data heavy started to add in analytics to their processes. These organisations and those who already are data reliant have created data teams and moved away from dashboards. More organisations in the UK are harnessing the power of AI and data to drive revenue growth and improve efficiencies.
But now it is time for these businesses to level their data up, the base has been laid and organisations need to build on their understanding of data.
For 2022, we will see three major shifts in data-driven organisations. Firstly, organisations will redesign the way they let their employees digest data, organisations will be more flexible when it comes to remote working and finally, prescriptive guidance will become an integral part of a business.
Lets dive deeper into these three major predictions for 2022.
For too long, business leaders have assumed that upskilling their workforce with data classes/certifications and investing in self-service tools would lead to a data-driven organisation. They are finally ready to admit that it’s not working. Self-service BI does not “close the skills gap.” Not everyone has 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.
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 – from email to collaboration software like Slack and Teams to the many point solutions needed to get work done across departments. 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.
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 take action, 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.
About Sisense:
Sisense goes beyond traditional business intelligence by providing organisations with the ability to infuse analytics everywhere, embedded in both customer and employee applications and workflows. Sisense customers are breaking through the barriers of analytics adoption by going beyond the dashboard with Sisense Fusion – the highly customisable, AI-driven analytics cloud platform, that infuses intelligence at the right place and the right time, every time. More than 2,000 global companies rely on Sisense to innovate, disrupt markets and drive meaningful change in the world. Ranked as the No. 1 Business Intelligence company in terms of customer success, Sisense has also been named one of the Forbes’ Cloud 100, The World’s Best Cloud Companies, six years in a row. Visit us at www.sisense.com and connect with us on LinkedIn, Twitter, and Facebook.
Author Bio:
As Chief Product and Marketing Officer at Sisense, Ashley leads the go to market and product strategy, brand awareness and revenue growth. Ashley has more than 15 years of executive and technical experience at organisations such as Tableau, Alteryx, Amazon, Oracle and NASA. She has a strong track record of scaling businesses, transforming product and marketing organisations, integrating acquisitions, and effectively delivering product strategy and vision. Ashley’s leadership experience includes building Tableau’s cloud product (Tableau Online), driving Alteryx’s transformation to a data science platform and leading Sisense’s highly customisable, AI-driven analytics cloud platform. Connect with Ashley on LinkedIn and Twitter
The article discusses the evolution of the culture of analytics in 2022, focusing on embedded analytics and prescriptive guidance.
How will embedded analytics affect tool fatigue? It will integrate data insights into existing workflows, reducing the need for multiple tools.
What role does AI play in analytics? AI enables prescriptive guidance by automating data-driven decisions before events occur.
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