“What’s one AI tool for business analytics that significantly improved your decision-making process? How did it change your approach to data analysis?”
Here is what 5 thought leaders had to say.
Tableau AI Transforms Data Analysis for Strategic Decisions
One AI tool that significantly improved my decision-making process is Tableau with AI integrations. It transformed how I analyze data by automating the insight generation process and providing actionable recommendations directly within the platform. Tableau’s AI-powered features helped me identify patterns and trends that would have otherwise been difficult to spot, especially in large, complex datasets. It made data visualization more intuitive and dynamic, allowing me to present findings in a way that was both easily understandable and visually compelling for stakeholders.
The AI capabilities also enhanced forecasting and predictive analytics, giving me more confidence when making strategic decisions. Rather than spending hours manually analyzing data, I could focus on interpreting results and planning next steps. This shift in how I approached data analysis not only saved time but also led to more data-driven decisions, ensuring we were making the right moves based on real-time insights and trends.
Georgi Petrov, CMO, Entrepreneur, and Content Creator, AIG MARKETER
Tableau AI Shifts Analysis from Reactive to Proactive
One AI tool that notably improved decision-making is **Tableau** paired with AI-driven insights. Its ability to visualize complex data made it easier to identify trends and patterns. With AI features like predictive analytics and natural language processing, I could ask questions and get insights in real-time, enhancing my understanding of the data.
This shifted my approach from reactive analysis to proactive strategy development. I was able to make more informed decisions quickly, focusing on opportunities and risks with greater precision.
ANSHUMAN GUHA, Staff Engineer Data Scientist, Freshworks
BI Platform Unifies Siloed Data for Proactive Solutions
One AI-powered analytics tool that made a real difference for us at Tech Advisors was a modern BI platform we implemented to address scattered data and inconsistent reporting. We were growing fast, but our reporting wasn’t keeping up. Data lived in too many silos—our service desk software, financial systems, client feedback logs. We often spent hours manually compiling reports only to find gaps or inconsistencies. I remember sitting with Elmo Taddeo, our senior consultant, as we combed through three different tools just to answer a client’s performance question. That was a clear sign we needed change.
We selected a platform that could bring all our data sources together in one place. It wasn’t just about dashboards—it was about restoring trust in our data. The AI features helped us spot trends early, forecast client issues, and eliminate repetitive tasks. Our technicians, who used to depend on IT for reports, now build their own dashboards with a few clicks. That has saved us time and improved responsiveness. It also helped us shift from reactive problem-solving to a proactive approach.
For anyone choosing a BI tool, I suggest prioritizing ease of use and integration first. If your staff can’t adopt it quickly, it’s not going to help you. Also, focus on tools that offer real-time insights. We saw a jump in operational efficiency after we automated our reporting. What used to take days now takes minutes. It’s not just about speed—it’s about giving your team the confidence to act on good data. That’s what moved the needle for us.
Konrad Martin, CEO, Tech Advisors
Polymer Search Removes Friction from Data Analysis
One AI tool that’s changed the way I approach business analytics is Polymer Search. It makes working with messy data simple because there’s no code and no dashboards to build. You just upload a spreadsheet and start slicing the data by channel, campaign, audience, or timeframe. So it removes the usual friction that slows down decision-making.
Before using it, finding insights meant digging through rows of spreadsheets or waiting on reports. Now I can spot shifts in performance, like a sudden spike in CPC, and trace them back to specific creatives or audiences in minutes. So that speed helps cut waste faster and double down on what’s working without second-guessing.
Using it changed how I think about analysis because when answers show up fast, the focus shifts to asking sharper questions and getting to the point quicker. It’s not about AI doing the thinking for you. It’s about clearing the clutter so you can think more clearly and act faster.
Josiah Roche, Fractional CMO, JRR Marketing
Tableau AI Predicts Trends, Boosts Marketing Conversions
I used Tableau’s AI-driven features to boost our decision-making. Its predictive analytics flagged a drop in retreat bookings before it hit, letting us pivot marketing to safety-focused content, lifting conversions 15%. Unlike manual spreadsheet grinds, Tableau’s drag-and-drop dashboards visualized user trends instantly, cutting analysis time from days to hours. It shifted my approach from reactive number-crunching to proactive strategy, focusing on patterns over raw data. Tip: use Tableau’s forecasting tools to spot trends early, but always cross-check with user feedback for context.
Chris Brewer, Managing Director, Best Retreats
