What is the best alternative to Heap?

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score 11 · Answer 1

Amplitude

Top Pro

Get JSON data with export API

Any output data you can get in a dashboard, you can also get as JSON through their export API. See More

Top Con

No installation tracking out of the box

It's possible to enable installation tracking by using a third-party service like Adjust and routing their data to Amplitude. See More

Top Pro

Generous free plan

The free plan allows you to log 10 million events per month. There are also 2 paid plans - Business and Enterprise. Business costs $995 and allows for up to 100M events per month while Enterprise has the price is negotiated on a case by case basis and supports an unlimited number of events. See More

Top Pro

Event Flows visualize popular user paths

Event Flows, an Enterprise level feature, shows a branching user-action path from or towards a certain page/action. For example, it could show most popular actions performed after landing on a product page or the most popular path towards clicking the buy button. Compared to funnels, that allow you to track if users follows a predetermined path and where they drop off, Event Flows show what users choose to do instead. And while it's possible to create a funnel for each branching path, that involves a lot of time and some guesswork which is not present in Event Flows. Additionally, it's possible to integrate Amplitude with Mode to create a User Paths report. It's similar to the Event Flow, but visualized differently. See More

Top Pro

SDK is open source and transparent

For apps that need high security auditing, or just if you want to know what code you're including, the SDK is open source with code available on GitHub. See More

Top Pro

Gives you raw SQL access to your data

Enterprise customers can get direct access to Amazon Redshift's PostgreSQL Database. This offers multiple benefits - it allows for queries that are not supported by the dashboard, gives portability and ownership and allows using that data to build realt-time services based on that data. See More

11 0

score 6 · Answer 2

Yandex Metrica

Top Pro

Customazible reports with attribution modelling

Top Pro

No limits or sampling

Top Pro

Built-in click heatmap

Metrica can track where users click (includes non-link items) allowing you to see the most popular sections as well as items mistaken for links. See More

Top Pro

Offers site availability monitoring

Metrica can monitor the site for availability issues and send out an email and/or SMS notification when issues occur. See More

Top Pro

Shows keyword data from encrypted Yandex search queries

Yandex encrypts all search queries so they don't show up in any other analytics tool except for Metrica. See More

Top Pro

It's real-time

Top Pro

Includes user-path visualisations

Top Pro

Clear link map

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6 1

score 17 · Answer 3

Countly

Top Pro

All in one crash, analytics and push notifications

No need to use another SDK. See More

Top Pro

Continually updating real time analytics

Countly pages are updated in real time without needing a page refresh. See More

Top Pro

Try without signing up through open demo

You can try it out without signing up at all by playing around with their demo. See More

Top Pro

Very fast interface

Transitions between pages on the Countly web interface is nearly instant. See More

17 0

score 15 · Answer 4

KISSmetrics

Top Pro

Tracks guest-turned-user data

KISSmetrics will combine registered user data with data before registering. See More

Top Con

Ability to filter reports is lacking

It's only possible to have one subset and one filter active at a time. See More

Top Pro

Funnel analysis

Funnel analysis allows you to see how many people have performed certain sequence of actions. You can use this to understand what part of the sequence needs to be improved the most. See More

Top Pro

Simple integration

KISSmetrics offers the following ways to integration into your application: Language Specific APIs - Official support for Javascript, Ruby, PHP, Python and Objective C. There is also third party libraries for most of the popular languages not officially covered. CSV import Support for integrating with Mailchimp and Recurly. See More

Top Pro

Amazing customer support

Look at any blog post written about analytics tools and you will see the KISSmetrics team engaging with their customers. There are also stories such as this one of the KISSmetrics CEO personally reaching out to his customers immediately as they need help. See More

Top Pro

Event wizard

Top Pro

Cohort retention analysis

Top Pro

People search

Top Pro

Support for URL parameters in the API

KISSmetrics lets you add a parameter in your URL (i.e. “http://yoursite.com/yourpage?kme=Track+This+Event”) and then automatically logs it without any additional Javascript code. This is very helpful to track clicks on links for example and is not currently support in Mixpanel. See More

Top Pro

Comprehensive revenue tracking

At the end of the day revenue is the key metric for SasS businesses and KISSmetrics really shines here. You can track: Total Revenue Average {Daily/Weekly/Monthly} Revenue Predictive Lifetime Value (Killer feature) Avg Customers / (Day/Week/Month) Churn. A very important metric and a key enabler (or disabler) of revenue. The revenue reports can also be segmented for further analysis. The KISSmetrics documentation give some examples on the sort of questions the revenue report can answer: How much revenue did I make this month compared to last month? Which of my pricing plans is contributing the most revenue? Which ads have brought in the most paying customers? What referring sites do most paying customers come from? How much did an A/B test affect revenue? See More

Top Pro

Flexible KPI calculations

A key advantage KISSmetrics has over Mixpanel in particular is its ability to not only calculate custom formulas, but display the data in a "snapshot" view with a modifiable time period. This is a killer feature for building your companies dashboard. See More

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15 0

score 34 · Answer 5

Mixpanel

Top Pro

Updates in real time

On Mixpanel you can view live activity on the site from both streams of events or broken down into your actual users. This can be very practical for de-bugging and catching errors as they happen, especially for new, buggy products. See More

Top Con

Expensive

The smallest plan is $150 per month, and only gets you 500k events. See More

Top Pro

Behavioural messaging

Mixpanel allows you to send notifications based on users actions. For example, you can use it to improve customer retention by analyzing the conditions where your users decide to leave your product and then send targeted messages designed to bring them back. This is an amazingly powerful feature that really bridges the gap between analyzing the data and acting on it. See More

Top Con

Only allows one filter per funnel step

Each funnel step can only include one filter, so you could have "browser" and "city" but not both. See More

Top Pro

Easy to use web interface

Online interface makes it simple to view events, and aggregate data. Queries can be built by selecting actions and associated properties from a drop-down, and the corresponding data will be displayed. These queries can then be bookmarked for later use. A table view and CSV export option is also available. Multiple queries can be displayed together, making it easy to compare two sets of data, or to view the relationship between them. The interface also features a "Live View", allowing you to watch events as they are sent, which is useful for testing, and viewing realtime events. See More

Top Con

Charts are not very configurable

For instance the retention charts are pretty static. You can change dates but not a lot of definitions. See More

Top Pro

Contact users directly through the people page

Mixpanel allows you to directly contact users from the people dashboard via push notifications, sms, and email. After viewing the user history, or filtering on events and metrics, you can send an individual user, or a segment direct messages. See More

Top Con

Steep learning curve

Top Pro

Automatic iOS event integration

Mixpanel can integrate with iOS, exposing app screen, and allowing you to set events through an online visual interface. See More

Top Con

Revenue tracking metrics won't work for advertising businesses

Because the revenue tracking doesn't allow for fractions of dollars per visit (at least not as of 2014) any site that makes money based on advertising won't be able to leverage the revenue metric features. See More

Top Pro

Remote configuration of events on iOS

On iOS, you can change or add events reported through the web interface so you don't have to submit a new version of the app to alter events. See More

Top Con

Limited public visitor and authenticated user merging

Top Pro

Funnel analysis

Funnel analysis allows you to see how many people have performed certain sequence of actions. You can use this to understand what part of the sequence needs to be improved the most. See More

Top Con

No built-in solution for installation tracking

It's possible to enable installation tracking by using third-party services like Adjust or AppsFlyer and routing their data to Mixpanel. See More

Top Pro

People analysis

Events can be grouped on a per-user basis allowing you to view each user's event history. You can use that information to see how individual users use your product. See More

Top Pro

Straightforward setup

It's very easy to set up. See More

Top Pro

Cohort analysis

Cohort analysis allows you to compare things like user retention over time, what kind of progress has been made with that retention over time, how many people perform certain actions from a set starting point over time, etc. See More

Top Pro

Successful companies use it

Khan Academy Hipmunk AirBnb TaskRabbit See More

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score 2 · Answer 6

EventHub

Top Pro

Simple deployment

Requires only downloading and executing a jar file. See More

Top Con

Abandoned

Hasn't been updated in over 2 years. See More

Top Pro

Free and open source

Licensed under MIT. See More

Top Pro

A/B testing tool

Top Pro

Cohort analysis

Top Pro

Funnel analysis

2 0

score 30 · Answer 7

Google Analytics

Top Pro

Well documented

Top Con

Heavy users get sampled reporting

If you send a lot of data Google starts sampling the data it uses for your reports. See More

Top Pro

Free for most use cases

Google Analytics is free unless you need their premium service, which is $150,000 per year. However, it's only necessary for massively large enterprise size data sets. See More

Top Con

User-based analytics is lacking

Google Analytics tracks visitor actions, their user action tracking is still very basic. It has started supporting user ID, but in a very basic way. See More

Top Pro

Intelligent Alerts

You can configure to be notified if certain things happen. See More

Top Con

Can't handle authenticated users

Top Pro

Highly customizable

Top Pro

Allows custom dashboards

Depending on the most important information to the user, the dashboard can be customized in order to put emphasis on certain metrics. This feature allows Google Analytics to satisfy users from a broad range of industries. See More

Top Pro

Provides free training

Google provides free services that train users in each aspect of Google Analytics, especially when used in conjunction with AdWords. See More

Top Pro

Awesome API

The API itself, tools, documentation, and abilities of the API are very powerful. See More

Top Pro

Import data

Google Analytics allows users to update user information from other sources. See More

Top Pro

Google Play analytics

Because it's a Google product, Google Analytics can tell you how users discovered your app through Google Play. See More

Top Pro

Constantly releasing new features

Released more than once a week in 2014. See More

Top Pro

Mobile web and Mobile app tracking possible

Top Pro

Integrates with AdMob

Since Google owns AdMob, they can provide deep integration, and allow you to respond to data with marketing campaigns. See More

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30 7

score 1 · Answer 8

GoSquared

Top Pro

Emails a summary of week's events

Allows being informed without having to spend too much time following analytics. See More

Top Con

E-commerce analytics requires an expensive plan

To get e-commerce analytics, a subscription plan is required. The subscription starts at 18$/mo for 100,000 monthly datapoints. See More

Top Pro

Straightforward

GoSquared has 4 views - Now, Trends, E-commerce and People. "Now" is a dashboard that gives an overview of what's happening on the site in real time, "Trends" displays information like most visited content, referrals, engagement, etc over a period of time, "E-commerce" displays analytics about your online shop and "People" shows all site's users and tracks their behaviour in real time. See More

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score 1 · Answer 9

Keen.io

Top Pro

Great for custom, complex, large-scale analytics solutions

Keen is designed for developer to be able to build custom, complex, large-scale analytics solutions. See More

Top Con

Development knowledge is not optional

There's no drag and drop interface, setting up analytics requires a developer. See More

Top Pro

Offers a good free plan

The free plan allows for 50,000 events. See More

Top Pro

Allows gathering and visualizing data for your users

Top Pro

Good documentation

Top Pro

Can be easily integrated into existing projects

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score 1280 · Answer 10

Python

Top Pro

Lots of tutorials

Python's popularity and beginner friendliness has led to a wealth of tutorials and example code on the internet. This means that when beginners have questions, they're very likely to be able to find an answer on their own just by searching. This is an advantage over some languages that are not as popular or covered as in-depth by its users. See More

Top Con

Not good for mobile development

You can use frameworks like Kivy, but if your ultimate goal is to write mobile apps Python may not be the best first choice. See More

Top Pro

Active and helpful community

Python has an active and helpful community, such as the comp.lang.python Google Groups, StackOverflow, reddit, etc. See More

Top Con

Inelegant and messy language design

The first impression given by well-chosen Python sample code is quite attractive. However, very soon a lack of unifying philosophy / theory behind the language starts to show more and more. This includes issues with OOP such as lack of consistency in the use of object methods vs. functions (e.g., is it x.sort() or sorted(x), or both for lists?), made worse by too many functions in global name space. Method names via mangling and the init(self) look and feel like features just bolted on an existing simpler language. See More

Top Pro

Easy to get started

On top of the wealth of tutorials and documentation, and the fact that it ships with a sizeable standard library, Python also ships with both an IDE (Integrated Development Environment: A graphical environment for editing running and debugging your code); as well as a text-based live interpreter. Both help users to get started trying out code immediately, and give users immediate feedback that aids learning. See More

Top Con

Worst language design ever

Instead of sticking to a certain paradigm, the original writer of the language couldn't make up his mind, and took something from everywhere, but messing it up as he went by. This is possibly one of the worst balanced languages ever. People who pollute their mind with Python and think it's the next best thing after sliced bread, will have to un-learn a lot of garbage 'pythonesque' habits to actually learn how to program. It's not because the academic world uses it a lot, that it's a good language. It says something about the inability of the academic world to write decent code, actually. See More

Top Pro

Comes with extensive libraries

Python ships with a large standard library, including modules for everything from writing graphical applications, running servers, and doing unit testing. This means that beginners won't need to spend time searching for tools and libraries just to get started on their projects. See More

Top Con

Language fragmentation (this is finally starting to go away)

A large subset of the Python community still uses / relies upon Python 2, which is considered a legacy implementation by the Python authors. Some libraries still have varying degrees of support depending on which version of Python you use. There are syntactical differences between the versions. See More

Top Pro

Can be used in many domains

Python can be used across virtually all domains: scientific, network, games, graphics, animation, web development, machine learning, and data science. See More

Top Con

Too opinionated for a general-purpose programming language

While it's a good language to learn and use after you have mastered a couple of other less rigid programming languages, it's definitely not good for first-time learners. Both the language itself and its community have made it quite clear that you should do everything the "Pythonic way" to get the best results, that it feels more like an opinionated framework instead of a general-purpose programming language, which means if you are a first-time learner and getting too "tuned" to the "Pythonic way" it will be much harder for you to learn other less-opinionated languages compared to the other way around. Like any programming languages and/or frameworks, I'd recommend first-time learners to learn less opinionated ones first to open up your mind, then learn some of the more opinionated ones to increase productivity for specific fields of works. After all, programming languages are just some utilities for the human mind to interface with the computers, and there are more suitable tools for different tasks, and you should master the "Pythonic way" (after you already have adequate experience in computer programming) instead of locking your mind too close to the "Pythonic way" as a first-time learner. See More

Top Pro

Clear syntax

Python's syntax is very clear and readable, making it excellent for beginners. The lack of extra characters like semicolons and curly braces reduces distractions, letting beginners focus on the meaning of the code. Significant whitespace also means that all code is properly and consistently indented. The language also uses natural english words such as 'and' and 'or', meaning that beginners need to learn fewer obscure symbols. On top of this, Python's dynamic type system means that code isn't cluttered with type information, which would further distract beginners from what the code is doing. See More

Top Con

Hard to debug other people's code

As the structure of Python code is based on conventions many developers are not following them and so it is difficult to follow/extract the design of not trivial application from the code. While this is a con, I see it in other languages as well. It seems to depend on the programmer. Most people don't learn conventions first, they just start programming. Unless you work for someone who insists you follow the conventions, you will probably go with what you like. You might never look at the conventions. See More

Top Pro

Good documentation

The Python community has put a lot of work into creating excellent documentation filled with plain english describing functionality. Contrast this with other languages, such as Java, where documentation often contains a dry enumeration of the API. As a random example, consider GUI toolkit documentation - the tkinter documentation reads almost like a blog article, answering questions such as 'How do I...', whereas Java's Swing documentation contains dry descriptions that effectively reiterate the implementation code. On top of this, most functions contain 'Doc Strings', which mean that documentation is often immediately available, without even the need to search the internet. See More

Top Con

Might not be very future-proof

Lots of features that will probably be crucial as time goes (good support for parallelism for example) are missing or are not that well-supported in Python. Since 2.x and 3.x still exist, be prepared to switch if something makes 3.x take off in the future. See More

Top Pro

Cross-platform

Installs and works on every major operating systems if not already installed by default (Linux, macOS). See More

Top Con

Significant whitespace

While proper formatting is essential for any programmer, beginners often have trouble understanding the need and lack the discipline to do it. Add to that all those editors that randomly convert N spaces (usually 8) to tabs and you get an instant disaster. You may need to find yourself an editor/IDE you like and carry it with you on a thumb drive, which isn't a bad idea anyway. See More

Top Pro

Has many libraries for scientific computing, data mining and machine learning

Python is commonly used in data science and has many libraries for scientific computing, such as numpy, pandas, matplotlib, etc. See More

Top Con

Multi-threading can introduce unwanted complexity

Although the principals of multi-threading in Python are good, the simplicity can be deceptive and multi-threaded applications are not always easy to create when multiple additional factors are accounted for. Multi-thread processes have to be explicitly created manually. See More

Top Pro

Very similar to pseudo-code

When learning Computer Science concepts such as algorithms and data structures, many texts use pseudo-code. Having a language such as Python whose syntax is very similar to pseudo-code is an obvious advantage that makes learning easier. See More

Top Con

The process of shipping/distributing software is reatively complicated

Once you have you program the process of having a way to send it to others to use is fragile and fragmented. Python is still looking for the right solution for this with still differences in opinion. These differences are a huge counter to Python's mantra of "There should be one-- and preferably only one --obvious way to do it." See More

Top Pro

Advanced community projects

There are outstanding projects being actively developed in Python. Projects such as the following to name a random four: Django: a high-level Python Web framework that encourages rapid development and clean, pragmatic design. iPython: a rich architecture for interactive computing with shells, a notebook and which is embeddable as well as wrapping and able to wrap libraries written in other languages. Mercurial: a free, distributed source control management tool. It efficiently handles projects of any size and offers an easy and intuitive interface. PyPy: a fast, compliant alternative implementation of the Python language (2.7.3 and 3.2.3) with several advantages and distinct features including a Just-in-Time compiler for speed, reduced memory use, sandboxing, micro-threads for massive concurrency, ... When you move on from being a learner you can still stay with Python for those advanced tasks. See More

Top Con

Limited support for functional programming

While Python imports some very useful and elegant bits and pieces from FP (such as list comprehensions, higher-order functions such as map and filter), the language's support for FP falls short of the expectations raised by included features. For example, no tail call optimisation or proper lambdas. Referential transparency can be destroyed in unexpected ways even when it seems to be guaranteed. Function composition is not built into the core language. Etc. See More

Top Pro

Supports various programming paradigms

Python supports three 'styles' of programming: Procedural programming. Object orientated programming. Functional programming. All three styles can be seamlessly interchanged and can be learnt in harmony in Python rather than being forced into one point of view, which is helpful for easing confusion over the debate amongst programmers over which programming paradigm is best, as developers will get the chance to try all of them. See More

Top Con

Does not teach you about data types

Since Python is a dynamically typed language, you don't have to learn about data types if you start using Python as your first language. Data types being one of the most important concepts in programming. This also will cause trouble in the long run when you will have to (inevitably) learn and work with a statically typed language because you will be forced to learn the type system from scratch. See More

Top Pro

It's really simple

It's very simple for understanding how programming works. If you don't like programming in Python, you probably won't like programming. It is a good way to find out with little investment. If you like, it is a great language. I wouldn't look for a language that has everything you eventually need to know in programming, such as static typing, in my first language. It should be easy to learn. You can pick up the hard stuff later if you tackle C or C++ or assembler. It will make learning them much easier. If you start with them, you might quit programming due to the difficulty of learning. See More

Top Con

Abstraction to the point of hinderance

Python is abstracted far enough that if it's your first language, it will be harder to pick up lower level languages later versus going the other direction. See More

Top Pro

Good introduction to data structures

Python's built-in support and syntax for common collections such as lists, dictionaries, and sets, as well as supporting features like list comprehensions, foreach loops, map, filter, and others, makes their use much easier to get into for beginners. Python's support for Object Orient Programming, but with dynamic typing, also makes the topic of Data Structures much more accessible, as it takes the focus off of more tedious aspects, such as type casting and explicitly defined interfaces. Python's convention of only hiding methods through prefacing them with underscores further takes the focus off of details such as Access Modifiers common in languages such as Java and C++, allowing beginners to focus on the core concepts, without much worry for language specific implementation details. See More

Top Con

It is best suited for scripting, but so are many other languages

i.e. running js as a script in a node is trivial. Even languages that were not meant to run as a script are easy to use as a scripting language with just a .sh file. See More

Top Pro

Easy to find jobs

Python's popularity also means that it's commonly in use in production at many companies - it's even one of the primary languages in use at Google. Furthermore, as a concise scripting language, it's very commonly used for smaller tasks, as an alternative to shell scripts. Python was also designed to make it easy to interface with other languages such as C, and so it is often used as 'glue code' between components written in other languages. See More

Top Con

Version Confusion with V2.x and V3.x

Top Pro

One right way to do things

One of the Guiding Principles of Python is that there should be only one obvious way to do things. This is helpful for beginners because it means that there is likely a best answer for questions about how things should be done. See More

Top Con

Unflexible userbase

You will be expected to rigidly stick to the coding practices and to do everything by-the-numbers. One of the most common complaints I heard from people who left Plone, which is Python based, to Drupal, which is PHP based, is the community is more like a frat house than a community. If you look for help, make sure you follow the rules of whatever type of group you are requesting help from. See More

Top Pro

Easy to learn, More to Go

It is very easy to learn and it has community support and many categories available. See More

Top Con

Not a serious coding language

If you consider it your first language, better pick Julia! See More

Top Pro

Interpreters for JS, Microtontrollers, .Net , Java & others

Python is not limited to just be cross platform. It goes far beyond all high level languages since it can run on top of several other frameworks & architectures : Examples of interpreters: Standard (PC Win/Lin/Mac, ARM, Raspberry, Smartphones): CPython usually, but some more specialized for smartphones: Kyvi, QPython, ... Web Browser JS : Brython, PyJS, .Net : IronPython Java: Jython Microcontrollers with WiFi like ESP8266 or ESP32: MicroPython Can be statically compiled (instead of interpreted) with Cython. (Do not mix up with cPython) With python, you're sure your code can run (almost) everywhere, from 2€ computers to the most expensives. So, for instance, with Jython you can access the Java libraries with Python language. See More

Top Con

Bad for games

Python has a lot of frameworks like pygame, but exporting the game is hard and building files like .exe gets very large and have a bad performance on bad computers. See More

Top Pro

Static typing via mypy

Python's syntax supports optional type annotations for use with a third-party static type checker, which can catch a certain class of bugs at compile time. This also makes it easier for beginners to gradually transition to statically typed languages instead of wrestling with the compiler from the start. See More

Top Con

Moving large blocks of code in whitespace sensitive languages is scary

Quoting inventor of the V language: "V's syntax is cleaner with fewer rules. Lack of significant whitespace improves readability and maintainability of large code bases and makes generating code much easier. From my experience of working with a huge Python code base, moving large blocks of code in whitespace sensitive languages is scary." See More

Top Pro

Has features of both high and low level language

It is somewhere between C and Java. See More

Top Con

Assignment

Heavily relies on assignment, with no distinction between defining the variable and assigning the value. This makes it necessary to introduce rather complex environmental model of computation. See More

Top Pro

Best chances of earning most money

According to Quartz, Python programming skills on average earn $100,000 per year. Closely followed by Java, C++, JavaScript, C, and R with $90,000 per year and above. See More

Top Pro

Easy for new users and experienced programmers

(If you can get over whitespace formatting) See More

Top Pro

Import Turtle

Do something visually interesting in minutes by using the turtle standard library package. Turtle graphics is a popular way for introducing programming to kids. It was part of the original Logo programming language developed by Wally Feurzig and Seymour Papert in 1966. Imagine a robotic turtle starting at (0, 0) in the x-y plane. After an import turtle, give it the command turtle.forward(15), and it moves (on-screen!) 15 pixels in the direction it is facing, drawing a line as it moves. Give it the command turtle.right(25), and it rotates in-place 25 degrees clockwise. Turtle can draw intricate shapes using programs that repeat simple moves. Example Turtle Star Drawing from turtle import * color('red', 'yellow') begin_fill() while True: forward(200) left(170) if abs(pos()) < 1: break end_fill() done() See More

Top Pro

Includes pygame library

Want to start game development? No problem! Using pygame open-source library you can fast begin creating games without worrying about pointers or undefined behaviors which they exists in C/C++. See More

Top Pro

Mobile versions

Mobile versions are available but can be difficult to find. Examples for android are pydroid and qpython See More

Specs

Platforms:Windows, Linux, macOS, AIX, IBM i, iOS, z/OS, Solaris, VMS

Current stable version:3.9.1

GZipped size:22.5MB

Typing discipline:Dynamically typed

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1280 433

score 1 · Answer 11

FirstOfficer

Top Pro

One-click integration with Stripe

No coding necessary, fetches all the data from the charging gateway. See More

Top Con

Tracks only sales-related information

The analytics tool won't track what users do on your site. See More

Top Pro

More accurate than event-based analytics

Events sometimes go missing. FirstOfficer checks data consistency against Stripe API and uses similar double-entry system than your bookkeeping to make sure that all the payments are processed. See More

Top Pro

Created by a finances professional

The founder has a BBA in accounting and practical experience from accounting, ensuring that the metrics are calculated right and that they are compatible to use with the numbers from bookkeeping. See More

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