ValGenesis’ Post

The concept of variation seems relatively simple. However, in practice it is difficult. Many people don’t understand the concept of variation. The tendency is to respond to whatever the last data point was. This publication is going back to some of the basics of control charts. It is important to remember that control limits on a control chart, done properly, are determined by the process. They are not like specifications which come from an external source to the process. Check it out: https://lnkd.in/gRuEtZyu #ControlChart #SPCVariation #ControlLimits #Specifications

We know you’re juggling data from multiple sources, each with its own data formatting. That’s why we’ve added some flexibility to date formats in Tone. 📣 Now you can: Seamless Copy & Paste: Transfer dates from any export without the hassle of mismatches. Custom Date Formatting: Align your Tone dash with your original sources, ensuring consistency across your documents – like release dates or transaction dates. We know you’re constantly crunching numbers and viewing data across wide date ranges – now in Tone it’s easier than ever to stay organized across your contracts.

Are human errors hurting your practice’s data? There’s an easy way to prevent them before they spiral. From outdated spreadsheets to incorrect entries, small mistakes can throw off your entire data set. Implementing built-in quality control systems, like those from Gaidge, can prevent errors, maintain data integrity, and streamline your team’s workflow. Ready to safeguard your data? Learn how quality control systems can save you time and improve accuracy—read more in our guide!  https://hubs.la/Q02VSyN80

The concept of variation seems relatively simple. However, in practice it is difficult. Many people don’t understand the concept of variation. The tendency is to respond to whatever the last data point was. This publication is going back to some of the basics of control charts. It is important to remember that control limits on a control chart, done properly, are determined by the process. They are not like specifications which come from an external source to the process. Check it out: https://lnkd.in/gAU2DGCh #ControlChart #SPCVariation #ControlLimits #Specifications

[Notion Tip ⚡️] 🔷 Three Notion functions that are transforming the way we use formulas. Let's check! 1️⃣ 𝚖𝚎𝚊𝚗() - calculate averages with precision. 2️⃣ 𝚖𝚎𝚍𝚒𝚊𝚗() - effectively pinpoint the middle value in your data set. 3️⃣ 𝚝𝚘𝚍𝚊𝚢() - instantly insert today’s date for up-to-the-minute documentation. These formulas help make your work process smoother and keep your information up-to-date and correct. Enjoy ! 🚀

Are human errors hurting your practice’s data? There’s an easy way to prevent them before they spiral. From outdated spreadsheets to incorrect entries, small mistakes can throw off your entire data set. Implementing built-in quality control systems, like those from Gaidge, can prevent errors, maintain data integrity, and streamline your team’s workflow. Ready to safeguard your data? Learn how quality control systems can save you time and improve accuracy—read more in our guide!  https://hubs.la/Q02VSC5X0

Wondering how using #digitalmailroom is valuable to your business? • Save time & money • Eliminate errors • Improve #efficiency • Easily access #documents • Enhance efficiency & response time • Gain data insight & analysis Learn more: https://hubs.ly/Q02G1mhL0

The goal of reporting is scorekeeping. And luckily that's easy to automate. Spend time automating your reporting so you can spend more time analyzing why it happened and if it's going to continue.

⚠️ Garbage in, garbage out! ⚠️⁠ ⁠ Automation is powerful, but if it’s not done right, it can lead to costly errors. And guess who pays for those mistakes? YOU. Let’s ensure your financial data is accurate from the start. 💼⁠ ⁠ 👉 How do you ensure accuracy in your financials? Share your best practices!⁠ ⁠ #FinancialAccuracy #AutomationPitfalls #BusinessCosts #BetterBusinessDecisions #DataIntegrity

After working with 50+ firms, we developed a framework to know how mature is your data tech stack you can get access to this today take the data maturity assessment from here https://lnkd.in/dHVdrtcR you will learn where the organization stand. how can you improve? and will also get recommendations on areas of improvement.