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Product managers are constantly faced with critical business decisions: which segments to pursue, which features to fund, which roadmap items to prioritize, and how much growth to promise leadership in the years ahead. Traditional spreadsheets are inherently two-dimensional. As a result, it’s difficult for product managers to accurately model their business. Quantrix is a multidimensional business modeling platform designed to help organizations make better decisions.

Why is product management modeling so difficult in spreadsheets?

The analysis behind vital business decisions is inherently multidimensional. A single market question usually touches several products, several segments, several regions, several time periods, and a layer of scenarios all at once.

A two-dimensional grid cannot hold that shape, so the work gets split. This might mean one tab per region, one file per scenario, one version per stakeholder. When the model becomes separated it can become less trustworthy, and much of the team’s time shifts from analysis to auditing, rebuilding and reconciling.

How does Quantrix change market modeling for product teams?

Quantrix helps teams move beyond static spreadsheets by providing a multidimensional approach to market modeling. Products, market segments, regions, customers, and competitors become explicit dimensions in a single connected model rather than positions on a grid. Because structure is declared separately from logic, adding a new product line or extending the forecast another year does not require rebuilding the calculations. The existing logic simply applies to the new structure.

Natural Language Formulas reinforce that clarity. A calculation reads like the business concept it represents, so a reviewer who never opened the model can still follow how a growth rate flows into a revenue forecast. With transparent assumptions, dynamic calculations, and real time scenario analysis, product leaders can quantify opportunities, evaluate risks, and build stronger business cases with confidence.

What product management questions can Quantrix answer?

Market sizing is the natural starting point. A connected model lets you build total addressable market, serviceable market, and share assumptions in one place, then view the result by product, by region, or by segment without rebuilding anything. From there the same model supports portfolio planning, competitive share analysis, pricing sensitivity, and the investment cases that go in front of an executive committee.

Scenario work is where the difference shows most clearly. When leadership asks what happens if a competitor cuts price, if a launch slips two quarters, or if one region grows faster than planned, the answer comes from toggling assumptions rather than scheduling a follow up meeting. That responsiveness is what turns a model from a reporting artifact into a decision tool.

How do dashboards and Mekko charts help communicate product decisions?

Interactive dashboards and Mekko charts transform complex market data into clear, executive ready insights, helping stakeholders quickly understand market structure, growth drivers, and investment priorities. A Mekko chart combines a stacked bar with variable width columns, which makes it particularly well suited to market share analysis and product portfolio comparison, because it shows relative size and relative share in the same picture. Because Quantrix runs on a multidimensional calculation engine, you can create all possible charts at the same time. Other Mekko chart software options cannot do the same.

The important part is the connection underneath. Because visualizations are built directly on the model, every chart and forecast updates automatically as assumptions change. Presentation canvases within Quantrix let product teams assemble dashboards from tables, charts, and widgets without altering the underlying logic.

What is the payoff for product teams?

The result is less time spent building and maintaining spreadsheets, greater consistency across planning efforts, and more time focused on making informed product decisions that drive growth. With Quantrix, you are getting a much more complete view of your business and the market.

Assumptions stay visible, calculations stay traceable, and the model stays current because updating it no longer feels risky. For product managers who are accountable for roadmap and investment decisions, that combination of speed and defensibility is paramount.

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It comes down to three things: a calculation engine that keeps logic consistent as the model grows, transparency that lets anyone trace how a number was produced, and governance that controls who can change what. Quantrix was built around all three.

Not every model carries the same weight, but every model needs to be right

Some models are built to sketch an idea. They come together in an afternoon, inform a conversation, and then get set aside. Even those still need to be accurate, because a bad number in a quick model can send a discussion in the wrong direction. Other models carry weight well beyond the person who built them:

• The model behind a capital allocation decision
• The valuation supporting an acquisition
• The long range forecast a CFO signs off on
• The operational plan several departments enter data into every month

These models get reviewed, questioned, and inherited by people who did not build them but still have to defend the numbers. That is the work Quantrix was designed for.

Logic that lives in one place

In a traditional spreadsheet, formulas can be copied across thousands of cells, and any one of those cells can be quietly overwritten with a hardcoded value. Nothing announces the change. Quantrix takes a different approach with range based Natural Language Formulas, which reference business concepts like Revenue, COGS, or Gross Profit rather than cell coordinates.

One formula can calculate thousands or even millions of results. Fewer formulas means less to audit, less to maintain, and far less room for the small inconsistencies that erode trust in a number.

Structure separated from logic

Quantrix is multidimensional by design, where as spreadsheets are fundamentally two dimensional. In Quantrix, categories and items are declared explicitly.  This is in stark contrast to traditional spreadsheets, which generally rely on cell coordinates. Because structure is separate from logic, you can add a product line, a region, or another forecast year and the existing calculations keep working. Adding a year is as simple as selecting the most recent one and pressing Enter. That is what makes a model safe to change, and a model that is safe to change is a model that stays current.

Calculations you can actually trace

A model that nobody can explain is a liability, even when the numbers happen to be correct. This can be a regular issue for spreadsheet users. Quantrix provides a series of features that help users maintain their calculations. The Dependency Inspector lets you visually trace a calculation from beginning to end, following the dependencies between calculated cells to see exactly how a result flows through the model. When a reviewer asks where a figure came from, there is a real answer rather than an afternoon spent chasing cell references across worksheets. The Problems Pane works in the other direction, surfacing formula issues such as references to elements that no longer exist or circular references, and guiding the user straight to the source. Errors get flagged instead of hiding.

A record of every change

Business models are rarely static documents. They are built by one person or a small team, then altered and updated by others over months and years. The Audit Trail records the changes made to data and structure, logging the operation performed, the user who performed it, and the time it happened, including changes made online in Quantrix Qloud.

Governance and permissions

A model shared as an email attachment has no meaningful governance, because every recipient holds a full copy with full editing rights. Quantrix supports roles and permissions with granularity down to the cell level. This extends to what users are able to see. For example, a Global Sales Director may have access to view an entire model, while a North American Account Manager may only see North American data. Additionally, with Qloud, teams can share and access models directly in their browser with the permissions remaining intact.

Data that stays current

A model built on outdated data is unreliable no matter how elegant the logic. With Quantrix, users can connect directly to databases, Google Sheets, Salesforce, text files and more. These connections can help to keep data current. Once a connection is established, users can update their data with a click. For example, if a user has imported an opportunity report from Salesforce, they can update it from within Quantrix to ensure they are always modeling the most recent data.

Performance that holds as complexity grows

None of the above matters if the file slows to a crawl. Quantrix runs on an in-memory calculation engine built to handle extremely large models while maintaining real time performance.

The next steps

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This is a practical guide to reducing formula risk, simplifying structural changes, and building models that scale with the business.

Most models don’t fail on the day they’re built. They fail six months later, when a new product line is added, a region is split in two, or the person who wrote the logic moves on. The model still opens. It just can’t be trusted anymore. 

Maintainability is the difference between a model that supports the business for years and one that gets rebuilt every planning cycle. The good news: maintainability isn’t luck. It’s a set of choices about how logic is written, how structure is organized, and how easily anyone can audit what’s happening. Here’s what makes complex models hard to maintain—and how Quantrix removes the problem at the source.

Why complex models become hard to maintain

1. Formulas multiply faster than the model grows 

In a traditional spreadsheet, logic is copied across every product, department, region, period, and scenario. Add a dimension and the formula count explodes. A single structural change can mean reviewing hundreds or thousands of formulas by hand. 

2. Structure and logic are tangled together 

When formulas live inside cells, the meaning of the model is tied to where the data sits rather than what it represents. Adding a region or a year means extending formulas and re-checking references—every time. 

3. Structural change means rework, not expansion 

New tabs. Duplicated worksheets. Copy-paste marathons. Growth becomes a project instead of an update, and every workaround introduces a new place for something to break. 

4. Auditability decays over time 

As a model grows, it gets harder to answer basic questions: where does this number come from, who changed this assumption, which formula drives this result? Cell coordinates like =B27-C29 don’t tell you anything. Models that can’t be explained can’t be maintained. 

5. Knowledge never transfers

If only one person understands how the model works, maintenance stops the moment they’re unavailable. Transparency isn’t a nice-to-have—it’s continuity.

Best practices for maintainable models—and how Quantrix delivers each

Write logic once, not thousands of times 

Best practice: minimize repetitive logic. Many spreadsheets contain hidden logic. Every duplicated calculation is another thing to find, check, and fix. 

How Quantrix helps: Quantrix uses Natural Language Formulas that calculate across entire dimensions instead of individual cells. One formula (shown below)—Gross Profit = Revenue – COGS—can calculate thousands or millions of results. Fewer formulas means faster calculation, less risk, and dramatically less to maintain.

Separate structure from logic 

Best practice: keep what the model is made of separate from how it calculates, so one can change without breaking the other. 

How Quantrix helps: In Quantrix, formulas live outside the cells, in a dedicated formula pane. Structure and logic are independent by design, so you can add items, reorganize categories, or reshape the model without rewriting a single formula. 

Think in dimensions, not tabs 

Best practice: before asking how many worksheets you need, ask what the model actually represents—products, regions, scenarios, time periods. 

How Quantrix helps: Quantrix models are multidimensional matrices. A structure that would require dozens of linked worksheets becomes a single matrix you can pivot at any time. Always-on pivoting lets you slice by month, product, market, or scenario in seconds—no rebuilding, no rewriting logic. 

Make growth an expansion, not a rebuild 

Best practice: design so that adding a product, region, or year is a routine update. 

How Quantrix helps: Add a new item and the existing logic applies automatically. Select the latest year in a forecast, press Enter, and the year is added with every formula still working. Growth expands the model instead of threatening it. 

Make every calculation auditable 

Best practice: anyone should be able to trace a result back to its source without reverse-engineering the model. 

How Quantrix helps: Formulas reference business concepts, not cell coordinates, so they read the way people talk. The Dependency Inspector lets you visually trace a calculation from beginning to end, and the Problems Pane proactively flags issues—missing references, circular references, size mismatches—and takes you straight to the source. 

Protect the model from accidental change

Best practice: control who can edit what, and keep a record of what changed. 

How Quantrix helps: Permissions and roles let model owners decide who can view, edit, or analyze each part of the model. The Audit Trail records changes to data and structure automatically, so there’s always a single version of the truth—and always an answer to “what changed?” 

Connect to data instead of pasting it 

Best practice: eliminate manual data movement, the most common source of silent errors. 

How Quantrix helps: Data Import connects directly to databases, Google Sheets, Salesforce, text and XML files, and other Quantrix models. Connect once and refresh with a click. When new items appear in the source, the structure expands automatically. 

Build for the next person 

Best practice: use consistent naming and readable logic so the model outlives its author. 

How Quantrix helps: Because Quantrix formulas describe business meaning rather than grid positions, reviewers and new team members can understand the model without a robust walkthrough. Onboarding gets faster, and key-person risk drops. 

The Quantrix Method: Agile & Scalable

In a spreadsheet, growth is manual work. Adding a product means copying formulas across rows, tabs, and sheets. Adding a region often means duplicating a worksheet. Extending a forecast means rewriting and verifying formulas by hand. In Quantrix, those same changes are simple structural updates — add an item, extend a dimension, or select the last year and press Enter — and the existing logic keeps working. 

The difference compounds over time. Thousands of individual cell formulas become a small set of Natural Language Formulas. Tracing a result no longer means chasing cell references across worksheets, because the Dependency Inspector follows the full calculation for you and the Problems Pane surfaces errors instead of letting them hide. Data connects once and refreshes with a click rather than requiring manual re-exports, and a built-in Audit Trail with permissions and roles replaces version files and hope. 

Frequently asked questions 

What makes a financial model hard to maintain? 

Usually four things: too many duplicated formulas, logic buried inside cells, structural changes that require rework, and calculations that can’t be easily traced or explained. 

How does Quantrix reduce formula risk? 

Quantrix minimizes formula duplication with Natural Language Formulas, separates logic from structure, flags issues through the Problems Pane, and makes every calculation traceable with the Dependency Inspector. 

Can I change a model’s structure without breaking formulas? 

Yes. Because structure and logic are separate in Quantrix, you can add or reorganize dimensions, categories, and items without rewriting formulas. 

Does Quantrix work with large, complex models? 

Yes. Quantrix’s in-memory calculation engine is built for very large models while maintaining real-time performance.

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Data Import in Quantrix Modeler is a built-in feature that lets you pull two-dimensional data from databases, Google Sheets, Salesforce, text files, XML, or the clipboard — and instantly reshape it into a structured, multidimensional model you can pivot, filter, and calculate without rewriting logic.

In short, it takes the raw, flat data trapped in rows and columns and gives it the dimensions your business actually runs on—time, product, region, scenario, and more.

The clip below shows how you can easily import a Text File and turn it into a multidimensional model.

What is Data Import in Quantrix Modeler?

Data Import is a feature in the Quantrix Data menu that connects to external data sources and brings their contents directly into a Quantrix matrix.

The core idea is simple but powerful: you take a 2-dimensional data set and make it multidimensional. That single shift is what separates a fragile spreadsheet from a scalable model.

Which data sources can Quantrix Modeler import from?

The power of Data Import starts with reach. From a single menu, you can bring in two-dimensional data from virtually anywhere your business keeps it:

• Databases — connect directly to the systems that run your business
• Google Sheets & Salesforce — pull live data from the tools your teams already use
• Text, XML & clipboard — bring in files and exports in seconds
• Other Quantrix models — feed one model’s output into the next

Just drag and drop the fields you want, and Data Import does the heavy lifting. You can bring in exactly what you need, nothing more.

The real power: flat data becomes multidimensional

Here’s where Data Import goes from convenient to transformational. As your data comes in, you decide which fields become dimensions—time, product, region, scenario—and Quantrix instantly turns a flat, two-dimensional table into a rich, multidimensional model.

Why does that matter so much? Think of a flat spreadsheet as a single photograph: one fixed view of your business. A multidimensional model is a living, rotatable scene. The same data can be sliced by month, by product line, by market, or by scenario in seconds—no rebuilding, no rewriting formulas. Insights that were buried in endless rows and columns rise right to the surface.

That’s the difference between storing data and understanding it.

Why it changes the way you work

Always plan with fresh data

Refresh with a click. After you have established a Data Import connection, “Update” buttons will be available above your matrices. Alternatively, you can create Smart Buttons on canvases that offer the ability to update. This way you’re always planning with today’s reality, not last month’s export. For example, if you’ve connected to a Salesforce Opportunity report and new opportunities have been entered, the refresh button will add the new data into your model.

Build a connected data ecosystem

Data Import isn’t a one-way street. Paired with Quantrix’s export tools, it’s possible to share data back and forth. As a result, Quantrix can be utilized as your main business planning platform, or used as an integrated complementary tool – when gaps need to be filled.

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Data Import is where the power of Quantrix begins—the moment flat data becomes a multidimensional model you can explore, scale, and trust. Bring in the data you already have and watch it come to life across every dimension that matters.

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In today’s data-driven business environment, financial and operational models are no longer just tools for analysis; they are critical decision-making systems. Yet, despite their importance, many organizations still rely on traditional spreadsheet software that was never designed to handle the complexity, scale, and transparency modern business modeling demands. At the heart of this challenge lies one fundamental concept: model structure.

A well-structured model is the difference between clarity and confusion, scalability and fragility, insight and risk. Understanding why structure matters, and how Quantrix delivers a fundamentally better approach, can transform how organizations build, maintain, and trust their models.

The Hidden Risk of Spreadsheet-Based Models

Traditional spreadsheets have long been the default tool for financial modeling, but their underlying design is inherently limited. Traditional spreadsheet models are based on individual cells, where logic is embedded in thousands, sometimes millions, of discrete formulas. This creates a tightly coupled system that is difficult to audit, maintain, or scale.

As models grow, so does the risk. Small errors propagate silently. Structural inconsistencies emerge as users copy and paste formulas across sheets. Version control becomes unmanageable. What starts as a quick solution often evolves into a fragile system that few people fully understand.

The core issue is that spreadsheets lack a true structural framework. They rely on positional references rather than conceptual relationships. This means the logic of the model is tied to where data sits, rather than what it represents.

Why Structure Is Foundational to Better Modeling

A properly structured business model separates logic from layout. It organizes data in a way that reflects the real-world relationships between business drivers, metrics, and dimensions. This approach improves accuracy, usability, scalability, and collaboration.

When structure is intentional, models become easier to debug, extend, and interpret. Teams can confidently make changes without fear of breaking hidden dependencies. New scenarios can be added without rebuilding entire sections of the model. Most importantly, decision-makers can trust the outputs because the underlying logic is transparent and consistent.

This is where Quantrix stands apart.

How Quantrix Redefines Model Structure

Quantrix is purpose-built for business and financial modeling, and its architecture is fundamentally different from traditional spreadsheet tools. Instead of relying on cell-by-cell formulas, Quantrix introduces a multidimensional modeling framework built on categories, items, and natural language formulas.

Categories: Dimensions That Reflect Reality

Categories in Quantrix define the dimensions of your model, such as time, geography, product lines, or scenarios. In the example above, “Region” is a category. These categories create a structured framework that mirrors how businesses actually operate.

By organizing data into categories, Quantrix enables true multidimensional modeling. This means users can analyze relationships without duplicating data or creating complex workarounds. Adding a new product line or region becomes a structural extension instead of a manual rebuild.

Items: The Core Building Blocks

In Quantrix, items represent the measures or variables in your model, such as revenue, cost, profit, or units sold. In the example above, “North,” “South,” “East,” and “West” are items within the Region category. Unlike spreadsheet cells, items do not need to be tied to a specific cell-location.

This abstraction allows modelers to define calculations once and apply them consistently, which eliminates redundancy and reduces the risk of error. It also makes the model easier to understand because each item clearly represents a business concept rather than just a cell reference.

Natural Language Formulas: Clarity Over Complexity

One of the most powerful aspects of Quantrix is its use of natural language formulas. Instead of cryptic cell references like = C10 – D14, formulas in Quantrix read more like plain English. For example, “Gross Profit = Revenue – COGS.”

This approach dramatically improves readability and maintainability. It also reduces the cognitive load on modelers, allowing them to focus on business insights instead of technical syntax.

Together, items, categories, and natural language formulas create a modeling environment that is structured, transparent, and scalable by design.

The Impact of Better Structure on Business Outcomes

The benefits of structured modeling extend far beyond technical improvements. Organizations that adopt a structured approach with Quantrix typically see faster model development and iteration, greater confidence in forecasting and planning, reduced risk of errors and inconsistencies, improved collaboration across teams, and enhanced ability to handle complexity and change.

In a world where agility and accuracy are critical, the ability to trust and adapt your models is a meaningful competitive advantage.

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Imagine you’re part of a finance team and your coworker decides to make a career change. They are no longer at your company, and all their knowledge went with them. They created a series of vital business models. At this point, you’re tasked with deciphering how the models were made and how they work.

Now, imagine you’re a business planner and you’re tasked with expanding a forecast model. Not only do you need to expand the model out an additional five years, but you are also planning to add a new region to the forecast.

Although these examples are commonplace in today’s fast-paced business world, they also exemplify how modeling mistakes can cause headaches.

Even the most skilled financial modelers and planners can create models that are built on structures and approaches that can’t scale with uncertainty, growth, or change.

Models can become fragile, confusing, and difficult to maintain.

This article covers the most common financial modeling mistakes that organizations make—and how alternative modeling approaches, such as Quantrix, are designed to address them.

Mistake #1: Building One-Off Models

Many financial and business models are created to answer a single question.

This could be:

• A budget for next year
• A forecast for a funding round
• Testing a scenario for leadership

In these cases, the model works… once. Assumptions change, key stakeholders ask new questions, and the model must be rebuilt or heavily modified.

Why This is a Problem

• One-off models don’t adapt well to new scenarios
• Changes introduce errors and inconsistencies
• Teams spend more time maintaining models than analyzing them

How Quantrix Helps

Quantrix allows you to build a system of models that are linked together at the category level, instead of a series of isolated spreadsheets. Models are designed to evolve. New time periods, scenarios, or business dimensions can be added without breaking existing logic.

Mistake #2: Overloading Models with Cell-Based Formulas

Many traditional spreadsheet tools rely on complex, cell-based formulas that embed business logic directly into calculations.

This leads to:

• Long, unreadable formulas
• Hidden dependencies
• High risk of accidental errors

Why This Is a Problem

• Small changes can have unintended consequences
• Logic is difficult to audit or explain
• New users struggle to understand how the model works

How Quantrix Helps

Quantrix uses Natural Language Formulas that are separated from the structure of the model. As a result, calculations are readable, auditable, and consistent.

Mistake #3: Relying on Copy-Paste for Scenarios

Analyzing scenarios is essential to modelers and planners—but many teams rely on copying formulas, sheets, or files to compare outcomes.

Common signs of this mistake include:

• Developing separate tabs, such as “Base Case,” “Best Case,” and “Worst Case”
• Manual updates across multiple versions
• Confusion about which version is “final”

Why This Is a Problem

• Errors can multiply quickly
• Comparing scenarios becomes slow and unreliable

How Quantrix Helps

Quantrix supports multidimensional scenario modeling.

This makes it possible to:

• Add new scenarios on the fly
• Test combinations of scenarios
• Compare outcomes reliably and instantly

Mistake #4: Designing Models That Can’t Scale Over Time

Traditional spreadsheets struggle as complexity increases:

• More products
• More regions
• More time periods
• More drivers

Most businesses today are not static. They are forced to evolve and adapt to changes. Without a financial modeling tool, organizations can struggle to keep up.

Why This Is a Problem

• Finance teams avoid expanding models due to risk
• Workarounds replace sound modeling practices, which can introduce risks or errors
• Strategic planning can become constrained

How Quantrix Helps

Quantrix uses a multidimensional modeling approach, allowing models to scale naturally as new items and dimensions are added.

Whether it’s additional business units, expanded time horizons, or more granular planning, the model structure remains intact – reducing rework and risk as the business grows.

Mistake #5: Building Models Only One Person Understands

Some financial models are effectively “owned” by a single expert who understands how everything works. This person builds the model, understands the formulas, and can troubleshoot issues that arise.

While this may be efficient in the short term, this creates long-term risk.

Why This Is a Problem

• Knowledge isn’t always transferable
• Models become bottlenecks
• Organizations are exposed when roles change

How Quantrix Helps

With consistent structure, linked categories, natural language formulas, and an audit trail, Quantrix offers a platform that is auditable and traceable.

This makes collaboration easier and reduces dependency on a single model expert—creating more resilient and repeatable financial processes.

Moving From Fragile Models to Strategic Assets

Most financial modeling mistakes come from using tools and approaches that weren’t designed for today’s level of complexity and uncertainty.

Modern modeling platforms like Quantrix are built around two key components: agility and scalability.

By addressing these common mistakes at the structural level, finance teams can spend less time maintaining models—and more time using them to guide better decisions.

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Imagine you’re a financial modeler or business planner and you’ve been tasked with creating a model to forecast possible future business outcomes. You’ve spent days, if not weeks, building a comprehensive model and now you must present it to your leadership team. You make your presentation, and now leadership has questions. Understandably, many of these questions start with two words: what if.

If you’ve built your model in a traditional spreadsheet tool, your conversation with leadership could stall. You may need to update your model and set up another meeting in the future so that you can accurately model the new scenarios offered up by leadership.

Businesses today operate in an uncertain world full of rapid changes. To succeed, they must be able to react quickly and answer all their “what if” questions.

Wouldn’t it be nice if there was a tool that allowed you to test and analyze new scenarios on the fly? With Quantrix, you can! Quantrix is more than just a financial modeling tool – it can be used as a dynamic scenario planning platform.

Here’s how Quantrix is different:

Multidimensional Modeling: The Foundation of Superior Scenario Analysis

Quantrix is designed to be scalable. Unlike traditional spreadsheet tools, Quantrix separates formulas from the structure. As a practical matter, this means that once the structure is configured, new scenarios can be added with just one click.

Natural Language Formulas That Automatically Scale Across Scenarios

Natural language formulas don’t rely on cell coordinates. Instead, they reference item names or entire categories, which enables them to calculate ranges. This means Quantrix users have less formulas to audit and a much simpler time expanding their models. Users can add new products, regions or years to their model without breaking any formulas or editing their existing structure.

Scenario Manager: True Side‑by‑Side Comparison at Scale

The multidimensional nature of Quantrix allows users to create scenario managers. As the name implies, a scenario manager allows end users to select different options to see how the calculated figures change. Moreover, with Quantrix, users can also test combinations of scenarios.

Watch our webinar to see how easily a scenario manager can be added to a model:

Structural Transparency: Easily Trace What Drives Scenario Differences

One of the most critical factors in any model creation is the accuracy of the data and trustworthiness of each calculation.

Quantrix Modeler boasts a series of features that help to ensure data remains better protected.

• Permissions and Roles: Create roles for different users to manage their operational permissions and model access.
• Audit Trail: A running log of all the changes made to your model, including the time and the user.
• Dependency Inspector: A visual representation of each formula, which allows you to easily evaluate each individual component in a formula and trace a calculation from beginning to end.

Enterprise-Grade Performance for Complex Forecasting and Planning

Quantrix is a versatile solution that can adapt to just about any business situation. Whether you’re part of a smaller consultancy or a large-scale enterprise organization, Quantrix can fit into your business. This holds true whether Quantrix is utilized as your main business planning platform, or used as an integrated complementary tool – when gaps need to be filled.

Quantrix is a trusted solution that assists organizations everyday with their financial modeling, business planning, price quoting, M&A deals and so much more.

Conclusion and Next Steps

Let’s think back to our example at the beginning of the blog. This time you walk into your meeting with confidence. You know that you can answer all the “what if” questions that may come your way. Leadership is impressed that you can update assumptions and test new scenarios on the fly.

This reality is within your reach. Try Quantrix free for 30 days or book a demo to learn how our software can work within your business.

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The Quantrix 25.4 release introduced a brand new chart type: Bridge charts, also known as Waterfall charts. This chart type offers users a powerful visualization tool, enabling them to see how an initial value evolves over time. These charts show the cumulative effect of sequential increases and decreases.

With Bridge charts, users are better able to explain variance, display component changes, break down movement, and model operational drivers.

Business modelers from every industry strive to tell a story with their data. This new feature facilitates richer storytelling.

Quantrix makes it easy to create Bridge charts. After users configure their data, they can simply navigate to the “Charts drop-down” and select Bridge/Waterfall (2D).

Additionally, our 25.4 release also includes Stacked Bridge Charts. Once again, this type of chart can better assist users in visualizing deltas. Want to learn more? Check out our online help.

If you’re new to Quantrix, get in touch for a personalized demo or get our free 30-day trial!

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When many people start learning about financial modeling and planning, they do so with a traditional spreadsheet solution. Students and even business professionals are taught that formulas are meant to remain in cells and that formulas can be copied and pasted to expand a model. In other words, the structure and logic behind a model are interconnected. This view of financial modeling and planning would be considered cell-dependent.

Even though this is a popular methodology to learn, it is not the most effective. There is another solution that offers greater benefits: cell-independent logic. When users create models with formulas separated from cells, they are able to reduce errors and increase scalability.

What is Cell-dependent Logic?

As the name suggests, with cell-dependent logic, the formulas are directly linked to cell coordinates. Cell-dependent logic within a business model would look like the following:

These types of formulas can become complex and difficult to audit. When users review a formula for accuracy, they can struggle to sort out what each cell coordinate represents.

What is Cell-independent Logic?

In contrast to cell-dependent logic, cell-independent logic allows for formulas to be constructed without cell references and remain separated from the model’s structure. Without the need for obscure cell coordinates, formulas can be written in natural language and can calculate entire rows or columns. As a result, this type of logic can provide improved transparency, a reduction in errors and an increase in model scalability.

The Quantrix Method

Quantrix implements cell-independent logic. With Quantrix, users can write natural language, range-based formulas. Instead of relying on cell references, Quantrix formulas include item and category names. For example, “Revenue” instead of D4.

It’s much easier to understand Gross Profit = Revenue – COGS when compared to the cell-dependent alternative. Further, when a new time period is added to the structure, that formula is still able to calculate. No copying and pasting needed. This can lead to easier auditing and a dramatic reduction in errors.

Additional Benefits

Not all the benefits of cell-independent logic are strictly tied to formulas. Separated structure also allows for additional features, such as always-on pivoting and filtering. Users can gain insights into their data by moving category tiles from one axis to another – and can narrow their view to display only the data they need.

Next Steps

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Introduction

Every industry and every organization struggles with a difficult reality: plans change. Sometimes these changes are prearranged, like a merger, while others aren’t intentional – such as a supply chain disruption. Whatever the cause, businesses must be able to adapt. Business modelers and finance professionals are tasked with mapping out future possibilities. They must test scenarios and create forecasts to better understand how changes will impact their organization.

Modelers, planners and consultants have traditionally created these types of models in spreadsheet tools. Although spreadsheets are agile, they lack scalability. Adding new scenarios or time periods to a model can be error-prone and time consuming.

The main reason that spreadsheet tools aren’t able to scale easily is their cell-dependent logic. When formulas are stored in cells it can make it much more difficult to expand a model’s structure. Copying and pasting formulas and structure may increase the chance for errors.

A New Method

For organizations to react quickly and accurately to business changes, they need a financial modeling tool like Quantrix. Unlike traditional spreadsheet solutions, Quantrix separates model structure from the logic. That means that formulas are written separately from the cells, which allows users to expand models with ease. Quantrix formulas are written in natural language, which eliminates the need for referencing cell coordinates. Furthermore, once the structure is created, users can add a new year, region or scenario to a model with just one click.

With features like the Audit Trail and Dependency Inspector, users can track changes made to their model and ensure their formulas are calculating properly.

As a multi-dimensional modeling tool, Quantrix is designed to help users get their “what if” questions answered faster.

Next Steps

Although it’s almost inevitable that plans will need to change, organizations can feel more confident in their business modeling by switching to a financial modeling tool. Quantrix is trusted by users all over the globe. Want to try Quantrix? Check out our free 30-day trial or book a demo today!

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