How a Data-Driven Workplace Culture Can Drive Better Business Outcomes

Fostering a data-driven workplace culture in the workplace promises improved outcomes, elevated customer experiences, and the ability to make intelligent and strategic decisions that propel the business forward. However, getting started may seem like an overwhelming task.

SnapLogic recently collaborated with Censuswide to discover the attitudes and acceptance towards AI in the workplace. It’s clear the idea of AI in the workplace is gaining steam. In fact, nearly two-thirds (66%) of respondents like the idea of using AI in their role, either currently or in the future. 

Even more, just over half (54%) say that AI would save them time, 46 percent believe that it would improve productivity, and 37 percent share that it would reduce risk and errors in their work.

However, the success of AI implementation hinges on a crucial factor: employee buy-in. Our research demonstrates that 39 percent believe it would be hard to get everyone in their organization to fully adopt AI. Understanding and addressing employee sentiment about AI adoption is key to creating an AI-inclusive culture that maximizes productivity and optimizes business practices.

An AI-inclusive culture goes beyond merely introducing AI tools and systems. That’s why, as part of our research, we took a holistic approach, figuring the respondents’ personalities into the equation. The results were fascinating.

Introversion, Extroversion, and AI Influence Workplace Culture

Respondents who scored low on the extraversion scale were more likely to embrace AI and have fewer concerns about using it – compared to their high-extraversion colleagues, who expressed more reservations. Those who scored high on agreeableness and ‘openness to experience’ were more likely to have concerns about making mistakes when using AI.  

Approximately a third (36%) want a safety net to reduce the risk that they would make mistakes. And, 42 percent of respondents desire a better understanding of how AI would benefit them in their role. 

HR Tech Insights: License to Upskill! How Businesses Can Adopt AI and Prioritize Human Potential

To successfully adopt AI, organizations must have an empathic understanding of employees’ reservations and address them constructively. Business psychologist Danni Haig addressed the survey results, saying, “Humans tend to cling onto information and behaviors that they know, which means they often reject new ways of working or adopting new skills.

“IT and business leaders should be understanding about AI skepticism and have a clear plan in place to address it, otherwise much-needed change is far less likely to happen.”  

Leveraging AI to Retain, and Attract Talent

There are many opportunities for data to help people become more successful while simultaneously, helping organizations retain staff against the backdrop of trends like The War on Talent and Quiet Quitting, for example. However, it’s key to understand the role better data and AI models have in the retention and attraction of staff. 

As mentioned by leading data analytics leader Dr Alex Antic, “Attracting and retaining key staff, especially in the tech field, is very challenging. And it’s becoming harder. There’s a war on talent. Also, given how some organizations struggle with the right culture, it can be difficult to initially attract the right people. But once you attract them, keeping them long-term is the need of the hour.”

One way is to ramp up everyone’s (even those who don’t work directly with data and analytics on a daily basis) enthusiasm around data. “Get them excited about how data can be used to drive impact and change for the organization,” he says. 

“That really is at the core of having people understand what data and analytics can do, what it’s capable of doing, and how it can impact their role.”

It’s also important, he says, to empower staff by giving them freedom and responsibility to help turn data into actionable insights. It’s about letting them see what they’re doing and how it’s integrated into the broader strategic outcomes. 

“That part is absolutely vital,” Antic emphasizes. “And part of that has to do with the notion of democratizing data in your organization, getting it to the hands of everyone and helping them start thinking about how they can better use data to help with their own roles and in the organization more directly.”

Thriving in the Data-Centric Era With Enterprise Automation

As the business landscape continues to evolve, organizations must proactively navigate the data journey, leveraging technology, fostering an inclusive culture, and embracing AI. By doing so, they can overcome challenges, seize opportunities and unlock the full potential of data-driven transformation. 

With the right tools, strategies, and a commitment to employee engagement, organizations can thrive in this data-centric era, achieving remarkable digital outcomes for both their business and customers.

Recommended: Paper versus Digital: The Future of Work

Artificial intelligenceHR Technologyhuman capital managementOrganizational DevelopmentWorkplace culture