dyvenia

CEO: we must cut 100k quickly to make the quarter to offset our one off headwind. Finance: OK, what about travel expenses? It's the quickest thing we can cut CEO: OK! Operational Leads: well... we don't know what we spend in travel in detail and what is safe to cut, how about we cut (let's make a guess) 10k? This is a typical conversation between business leaders. The timing is key, financial results are at stake, shareholders are pushing for results... there is a feeling travel expenses can be temporarily scarified to make the numbers... yet it's not clear what savings can be expected because it's not clear what is "safe" to cut without harming business operations. I think a metric, like in this case travel expenses, should be considered "good" when it can be quickly used to make decisions. And a good metric is: compliant, usable, granular, aligned, comparable. If one or more of those attributes is missing, we have a metric gap. What do you think? Do you agree with our definition of a good metric? Missing something? Let's discuss in the comments! #analytics #fpa #metrics

Why does it take so long to get answers to your business questions? If you’re waiting days—or weeks—for reports, the problem likely isn’t your data but your processes. Inconsistent metrics, disconnected information, and scattered reports force teams to rely on guesswork instead of trusted insights. The result? Slow decisions, misaligned teams, and missed opportunities. The key to fixing this isn’t more dashboards or reports—it’s unified, transparent metrics. When everyone’s on the same page, teams can align, act quickly, and drive real performance. 💡 What’s holding your team back from making confident decisions?

We recently got into the holiday spirit with celebrations in both offices! 🎄 There was fantastic food, plenty of laughs, some friendly competition, and Secret Santa gifts that definitely didn't disappoint. Moments like these remind us how great a team we are. We work hard but also know how to have a good time and celebrate the little things that make us a team. Here's to a holiday season full of joy and a New Year packed with exciting opportunities! 🎉

Tired of chasing down scattered Master Data? Customer info in one file, product details in another, and cost tables managed through endless Excel vlookups. Sounds familiar? When MasterData is all over the place, it drains time, creates inconsistencies, and holds your team back from making confident decisions. The solution? A single source of truth: a unified platform on which your data—customers, products, costs, and more—lives in one reliable, accessible place. 💡 Stop wrestling with spreadsheets. Start focusing on insights. Ready to streamline your Master Data? Let's talk!

Why spend hours crunching numbers in Excel when your focus could be on making impactful decisions? Manual data validation and reconciliation are some of the biggest productivity drains for data and analytics teams. Think of all the hours lost wrangling spreadsheets—time that could be spent uncovering insights and solving real problems. What if all that grunt work ran in the background instead? What if instead of staring at tables for hours, you could look at the dashboard and go straight to the decision? By automating these processes, teams can stop firefighting in Excel and start driving impact. 💡 More insights, less busy work. Ready to make the shift? Let's connect and talk! 👉 https://lnkd.in/d4Y7V7VJ

Is your data telling the full story? Or just the symptoms of a deeper issue? It's easy to get caught up in tracking metrics that reflect short-term outcomes, but if you don't dig deeper, you could be missing the root causes behind your data. When your metrics only highlight symptoms such as an increase in machine downtime, rising defect rates, or inventory imbalances, you risk addressing the wrong problems and applying temporary fixes. This can lead to wasted resources and missed opportunities. Here's why root cause analysis matters 👇

⏳ Clean data = more time for what matters. Clean, organized, and validated data doesn’t just sit there—it drives action. Instead of spending hours wrangling messy datasets, you can focus on uncovering actionable insights. Let's consider an example. Say you manage inventory for a business operating across two regions. A streamlined data pipeline ensures your data is accurate, consistent, and accessible. You can quickly identify excess stock in one location and reallocate it to where it’s needed most. The result? Lower costs, faster demand response, and smoother operations. Clean data isn’t just about tidiness—it’s a business advantage that fuels smarter, faster decisions. Ready to experience the impact? 📈 Let's connect!

Here is the thing with Data and Analytics. If your business leaders struggle getting granular visibility into what happened, you should start there. Not ML, not AI, not “standard” anything. Just a simple question: Can we easily explain what happened yesterday? Yes or No question. No need to make it complicated.

Everyone wants to work on the shiny, new system – but who's gonna take care of the old one? New platforms offer better functionality and smoother user experiences, but legacy systems often hold years of critical data and insights. Ignoring them during a tech shift isn’t just risky—it can lead to data silos, lost productivity, and forgotten institutional knowledge. Bridging the gap between legacy and modern systems isn’t easy, but that’s where we come in. Whether reconciliating ERPs after a merger or managing multiple CRMs, we’ll ensure your systems work seamlessly together so your team can focus on delivering results. Let's make your systems work for you, not against you. Care to learn more? Schedule a call! 👇 https://lnkd.in/d4Y7V7VJ

Struggling to prove the value of your data initiatives? Winning executive buy-in starts with speaking their language—and that language is ROI. 📈 Let's break down what ROI means for data, why it's essential to measure, and how you can start showcasing the impact of your work. Swipe through to learn how to demonstrate the real value of insights-driven decision-making. ⬇️