Budgyt
You know the pain. 8,000+ formulas in your Excel budget, any one of which could break. Department heads emailing versions back and forth. Mystery errors appearing right before board meetings. Weekends lost hunting for that one number that doesn't add up.
We built Budgyt because we lived that nightmare as CFOs ourselves.
It's a true database that works like Excel, so your team doesn't need training. But formulas never break. Every number traces back to source with one click. Import your chart of accounts and actuals directly from your accounting system. Click any variance to drill down to vendor-level detail instantly. Run rolling reforecasts every month without rebuilding everything from scratch.
We connected it via API so you're up and running in hours, not spending months on implementation consulting.
Built for multi-department organizations where budgeting needs to be collaborative, but the finance team needs to stay in control. No more emailing spreadsheets around. No more "did I break something?" panic. Just budgeting that actually works.
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SBS Banking Platform
SBS Banking Platform is a flexible, cloud-native solution that empowers financial institutions to scale at their own pace, offering seamless, digital-first experiences anytime and anywhere. As a fully integrated, front-to-back platform, it drives innovation across a wide range of sectors, including retail, corporate, and neobanking. Whether it’s digital and open banking, deposits, payments, lending, or compliance, SBS Banking Platform provides the tools and infrastructure needed for financial institutions across EMEA to stay ahead of the competition. The platform’s versatility allows for tailored solutions, enabling banks to innovate and meet evolving customer demands. Trusted by top-tier banks, SBS Banking Platform is widely recognized by industry leaders such as Gartner, Forrester, NelsonHall, and IBS for its transformative impact on the financial services landscape. Recent accolades, including recognition by Omdia for digital banking, Chartis for regulatory reporting, and NelsonHall for Cloud, SaaS & BPaaS, highlight the platform’s role in driving progress and excellence in the financial sector.
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MCM Alchimia
The newest version of the free software MCM Alchimia has been designed to facilitate the estimation of measurement uncertainty and calibrations using the Monte Carlo method in accordance with JCGM 101. In this update, a comprehensive GUM framework uncertainty budget has been introduced, and similar to the previous version, it maintains support for correlated quantities and regression curves. Additionally, it boasts a speed enhancement that rivals well-known calculation and statistics programs. Users can perform simulations using direct, inverse, and total least squares methods, offering versatility in analysis. Furthermore, there is a custom application language available through an external module, allowing for tailored functionality. The output report provides a thorough statistical analysis of the simulations conducted, ensuring users have detailed insights into their results. This release significantly enhances the usability and efficiency of the application for professionals in the field.
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NLREG
NLREG is an advanced statistical analysis tool designed for both linear and nonlinear regression analysis, as well as for fitting curves and surfaces. It identifies the optimal values of parameters for a user-defined equation, ensuring that it best aligns with a given set of data points. Capable of managing various function types, including linear, polynomial, exponential, logistic, periodic, and more general nonlinear forms, NLREG stands out because it can accommodate nearly any algebraically specified function. Unlike many other nonlinear regression tools that are restricted to a limited selection of functions, NLREG offers a comprehensive range of possibilities. The program incorporates a robust programming language with a syntax akin to C, allowing users to define the function to be fitted while enabling the computation of intermediate variables, the use of conditionals, and the implementation of iterative loops. Furthermore, NLREG simplifies the creation of piecewise functions that can adapt their form across different ranges. Additionally, the inclusion of arrays in the NLREG language facilitates the use of tabular lookup methods to designate the function, providing even greater flexibility for users in their analyses. Overall, NLREG is an invaluable asset for statisticians and data analysts seeking to conduct complex fitting tasks.
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