Why Waiting on Reports Is Over, and How You Can Taste the Future of Decision-Making Today
We’ve opened Enola, our AI Super-Analyst, for free. Here’s why it matters, and how to try it for yourself.
Picture this: you’ve just closed the quarter, and you are required everywhere all at once. Marketing wants your call on the next campaign. You are wondering why conversions slipped in the mid-market, and how you need to tweak the sales funnel. Finance needs your decision on headcount for next year. Every team is waiting on you, but the answers you need are still buried in dashboards and pending reports.
Instead of insights, what you have is a queue of analysis requests. Tickets pending with the data team. Another request in the dashboard backlog. A recurring reminder to “check back next week.”
TLDR: Head over to the AskEnola website, and watch Enola solve all your data troubles and decision-making delays.
Scenarios like this play out every quarter, across every decision. The questions pile up quietly, momentum drains, and decisions stretch from hours to weeks. Not because you lack talent or tools, but because the machinery of analytics still isn’t built for the
pace of business.
The Problem: Why Speed and Clarity Keep Slipping Away
If you’ve been following this newsletter, you know we’ve talked about two big themes already:
In Why Decision Speed, Not Data Volume, Will Define Tomorrow’s Winners, we argued that speed is the decisive factor in who pulls ahead.
In The 4-Step Framework for Choosing Trustworthy AI, we outlined how to cut through the noise and focus on what delivers reliable results.
However, even if you’ve invested in modern data stacks, visualization tools, and talented analysts, you might still feel stuck. The symptoms are familiar:
Dashboard fatigue: Endless charts that don’t answer the question you actually asked.
Misfires in translation: Business leaders ask for clarity, data teams deliver complexity.
Lagging processes: A request can take a week to surface, another week to test, and another week to validate.
None of this is about effort. Data teams are working harder than ever. The issue is structural. The flow of analytics was designed for completeness, not immediacy. Dashboards were designed for visibility, not decisions. No surprise then that executives often don’t have a way to cut straight to the “so what?”
That gap between information and action is exactly what we’ve been tackling with Enola.
A Different Way to Work with Data (in other words, The Enola Way)
Here’s some good news: the problems you face with analytics are not inevitable.
Take the case of a global airline whose loyalty program was losing momentum. Across three membership tiers—Star, Nova, and Aurora—active participation was dropping. Cancellations were rising. Leadership was desperate for answers.
But, like many organizations, they were awash in data without clarity. Was the issue limited redemption opportunities? A drop in flight activity? Income levels among travelers? Without focus, the team could have spent weeks chasing hypotheses. A traditional analytics cycle might have taken weeks: data extraction, exploratory analysis, hypothesis testing, validation, and presentation. By the time a deck hit the boardroom, the window to act could have closed.
With Enola, the process unfolded differently.
First sweep: Enola quickly compared year-over-year membership across tiers and flagged Aurora as both the smallest tier and the one with the highest customer lifetime value (CLV). Priorities shifted immediately: the team knew where to focus.
Hypothesis generation: Enola then built a structured table of potential drivers: points redemption, travel companions, salary bands, and flight activity. Each was mapped to the correct data sources and statistical tests—automatically.
Validation: Within hours, Enola confirmed the strongest drivers of cancellation: mid-salary Aurora members traveling without companions. It also rejected red herrings like points redemption, which many had assumed to be the culprit.
Actionable guidance: Rather than spreading budget across all tiers, the airline now had a precise play: target retention campaigns for mid-salary Aurora members who typically flew solo.
What would have been weeks of manual effort condensed into a rapid, business-ready answer that could power single-day decision-making.
The Big News: Enola Is Now Open for Everyone
Until now, Enola has been in private use with select partners. Today, we’re opening it up for anyone who wants to experience the future of decisions firsthand.
Here’s what you can do right now:
Register free with your email. No friction, no approvals needed.
Ask questions across domains. Marketing, Sales, Finance, Operations—sample datasets are preloaded.
Connect your own data. Use your own data and see how Enola translates it into plain-language insights and visualizations.
All of this is free. No demo wall, no trial timer. Just you, your questions, and a direct line to answers.
We built Enola because too many leaders are still stuck in the waiting game. Now you don’t have to wait.
But the real test is yours. Don’t just read about faster decisions, experience them.
If you’ve ever found yourself staring at a dashboard, wondering “so what?”, or chasing reports that arrive too late, Enola is here to show a different way.