How to Leverage AI and Data to Drive Innovation and Engagement
Artificial intelligence (AI) has officially graduated to become a full-blown business powerhouse.
Artificial intelligence (AI) has officially graduated to become a full-blown business powerhouse.
We’ve been getting some questions lately: What exactly do you mean by "data workbench for operations" and why call it that? Well, buckle up because we’re about to break it down Scoop-style.
Congratulations on landing your new role as a Marketing Operations leader! Now that you’re in the driver’s seat, you’ve got one big mission: make the department more efficient. Easier said than done, right?
Revenue Operations (RevOps) might not have the flashiness of the latest tech trend, but if your business isn’t paying attention to it, you’re likely leaving money—and organizational sanity—on the table. As companies face increasing complexity in aligning their sales, marketing, and customer success
“AI can do a lot, but it can’t replace the human touch. Start with authenticity, add a dash of data, and you’ve got a recipe for success.” – Beatriz Datangel
With a background spanning biomechanical engineering, venture capital, and SaaS startups, Elaine’s insights provide a roadmap for business and marketing leaders navigating an AI-driven future.
I remember one of my early conversations with a CFO who, frustrated with their reporting, said, “We know how much we spent last quarter, but we have no idea if it was actually worth it.” That statement stuck with me.
Hey sports fans! The Paris Olympics are in full swing, and we at Scoop Analytics are beyond excited! 🌟 To celebrate, we've put together some fun and fascinating charts about the Games that you won't want to miss. Let's dive in and explore the incredible stats that make the Olympics the world's most
In the latest episode of The Inside Scoop, host Janet Gehrmann dives deep into the future of go-to-market (GTM) strategies with Rashmi Viswanath, a seasoned revenue growth expert.
In the ever-evolving world of business analytics, one metric stands out as a critical indicator of long-term success: Customer Success. But what does customer success really mean, and how can businesses measure it? The answer lies in understanding the right metrics—those key indicators that directly
As SaaS companies pivot from growth-at-all-costs to sustainable profitability, customer success is taking center stage. But what does it take to transform customer success into a strategic growth engine?
One of the most common questions we get here at Scoop from our RevOps community is around cohort analysis. Specifically, "What is it, how do I get the data I need, and when should I actually use it?" So, let’s get into this once and for all.
Engineering teams are tasked with not only delivering high-quality software but also managing resources efficiently across multiple projects. JIRA excels at tracking tasks, sprints, and progress, but it doesn’t provide the full picture of how engineering hours translate into business impact.
Reflecting on the journey of business intelligence (BI) from its nascent stages of clunky on-premise systems to the agile, cloud-based platforms of today, I'm struck by the evolutionary leaps we've made. As someone who has navigated the front lines of BI development, these transformations are not ju
For years, I've watched business intelligence (BI) tools promise transformation—turning data into decisions, creating clarity from chaos, and empowering businesses to thrive. And yet, as someone who has spent decades in this field, I can’t help but wonder: Are we overcomplicating BI?
Engineering teams adopt Agile to move faster, iterate better, and deliver higher-quality software. But too often, the reality doesn’t match the promise. Sprints become a checklist of rituals, stand-ups feel repetitive, and teams question whether they’re making meaningful progress.
The SaaS industry is no stranger to evolution, but the emergence of AI is rewriting the playbook at every level.
Know this truth: technology evolves, but execution endures. As AI reshapes the landscape of go-to-market (GTM) strategies, the leaders who combine technology with precise execution and human connection will dominate.