Microsoft Excel

For doing week-on-week budget planning for my clients, Me and my team uses Microsoft Excel which helps me in reducing complexity with data and allows us to tabulate the data and solve for complex mathematical formulas. In terms of reporting, we majorly use pivot table functionality to analyze the data in simpler form which helps us in increase our overall efficiency.

Microsoft Excel is easy to use and usually the first place where data crunching starts. When instead of a single admin or few people in a team, there are large number of stakeholders, it is advisable to use Microsoft Excel along with tools like Tableau/Cognos Analytics that give each user a different workspace to play with the numbers/file data.

In my experience, it is best suited to situations where regular and unitized data is present which allows for the application to easily apply its power to. Where data is not regular or unitized it provides a challenge for the application to easily apply its power. There is limited AI built into the application at the moment, however this can be improved through the introduction of 'add-in's'.

For tasks like financial analysis, budgeting, forecasting, and data visualization, I frequently use Microsoft Excel. I can develop financial models, use pivot tables to examine enormous datasets, and produce eye-catching visualizations thanks to its comprehensive features. I have, however, also come across circumstances in which Excel isn't the best tool.Excel falls short of alternatives like Google Sheets when I need to collaborate with my team in real-time. I favor employing robust database management systems or data analysis tools like SQL, Python, or R for managing very big data sets or sophisticated calculations. I use specialized tools like SPSS, SAS, or programming languages for better outcomes when complex statistical analysis or machine learning are necessary. And finally, for formatting elaborate reports, In conclusion, even though I consider Excel to be a great tool for many finance jobs, there are some limits in collaborating, processing big amounts of data, performing complex analysis, and creating documents that I take into account when choosing the best tool for the job.

Microsoft Excel is well suited for analyzing smaller data sets, once we move on to large data sets it is less appropriate to use. It should not be used as a means to store or analyze large data sets. It is good if there are requirements of repetitive data analysis where we can use macros or VBA to automate the task.

Excel is best suitable when the user is maintaining the records, monthly summaries, and statements of their businesses.
It could be less appropriate to draft a message/memo or any other written document.

Besides, the options and available tools in [Microsoft] Excel cover most of the needs of the users which is remarkable.

It's very good for list creation as part of my new lead generation/new client business development and research efforts. It's also very good as comparison financial implications of a given deal or deals in as much or as little detail as I'd like to show. Where Excel is less appropriate or relevant is in anything that involves presenting information in any sort of engaging manner. The visual interface is simply very 'vanilla' and blah.

we use Microsoft Excel to create data in a tabular format, we resolve the problem of removing duplicate key-Value pairs from a list of 1000+ entries which would have been a very hectic and time-taking task else if done manually. we use Microsoft Excel to represent the data of our findings in front of our client it helps in maintaining it in a very neat and organised way which is easy to explain for us and easy for even the client to understand. Database entries are stored in an Excel sheet. We work on a B-2-B Ecommerce site, so we send the request and response in form of Excel sheets, in our website the order bills, invoices, price details, order summary page, etc. are downloaded in a Excel format only. hence in every small to big activity, there is a co-relation with Microsoft Excel.

Good for quick, ad hoc reporting and on-the-fly calculations. Also good for providing examples and extracts of data from other systems. Not so good when trying to be used as a database, since it lacks governance.

As a reporter, Microsoft Excel is user-friendly and smoothes the process of collating, sorting, and graphical representation of data, which allows us to use it to understand the trends of the industry and ensure that readers are also able to understand the data from a layman point of view. Microsoft Excel is not only well-suited for experts but also for a beginner trying to use data for their respective purposes.

Microsoft Excel is well suited and best used for spreadsheets, financial reporting, accounting information, mathematical data, calculations, formulas, statistical reporting, and using wide and various types of data like Strings, Numbers, Dates, Times, Booleans, Money, Text, etc.

Microsoft Excel is less appropriate when the work needs more word processing or formatting features like font, color, alignment, spacing, dividing the text into paragraphs, drawing and painting features, in addition to database features like query, insert, delete, create, and drop transactions.

Microsoft Excel is great for data analysis, grouping, summarizing, and reporting and also good for basic graphs and charts. I wouldn't use it for complex financial reporting or complex graphs and charts.

It is well suited in scenarios where data you are working upon is small, which is considered if someone wants to keep a record of employees or items. If graphs need to be generated. If someone depends heavily on data, like millions of rows then it is not recommended as it gets hung with a large amount of data.

Microsoft Excel is great for data collection and making spreadsheets. Its very well suited for small data sets and for a quick analysis of that data. Its built-in bar charts, pie charts and etc. makes it very convenient to report the data and analyze it. However, if you have large data sets to work with, extra care is needed since the chance of error grows.

The product Microsoft Excel which is also known as MS Excel can be useful in creating Data, Managing the Data, Visualising the data in the graphs, etc.

This product is less appropriate who doesn't know the basic of this product, like formulas, functions, etc.

From my experience, Microsoft Excel is well-suited for storing data we gather from participants, cleaning the data, tracking key metrics, and basic descriptive analyses. It's less suited for complex analyses such as for ANOVA, MANOVA, Factor Analysis, Multiple Linear Regression, and other more complicated statistical analyses. Additionally, it isn't the most user-friendly for building dashboards or complex visuals. For complex analyses, I recommend SPSS and for the latter, I recommend Power BI.

As part of the Microsoft Office suite, using Excel is a given. Try to use it beyond a basic list, and the true power of Excel shines through, from the graphical elements to the statistical analysis. Unlike other Office tools, Excel is weak for reviews and [shows] redlines from reviewers. There are many functions to Excel, likely more than one can imagine, which you can glimpse at via any of the many training videos available online.

[Microsoft] Excel is great for quick spreadsheet application development, especially for a single user. Great for combining data and graphic presentations, modeling, forecasting and analysis. As with any spreadsheet program, it can be difficult to pick up a complex application from another developer, and it [Microsoft Excel] does not have the level of accounting control in a formal accounting system.

Great for organizing and sorting data. Can also be used to create attractive charts. The formulas and other functions are useful and user friendly.

Microsoft Excel is well suited to all kinds of business and any other organization in the world. It's a global software now. This software enables the users to analyze the business data and make proper business decision. It saves lot of time and expenses through making the business paperless and digital. It helps the organization to be on top of the strategy formulation through proper analysis of the business information and data.

If you're running a business, it's essential to use Excel. It outlines planning better than any other program I've come across. It's well suited to manage inventory, track information, and even filter and graph that information in a more logical way. The areas it's not as well suited for are long-worded documents and pages with lots of design work. The main issue I have with the program is the setup of graphing and data plotting. Choosing a data set and what goes on the x-y axes is confusing and takes too much finessing to get things right. The graphs need to be much more customizable as well in their simple graph settings so that the user can set any kind of major and minor gridlines they need for their presentation.

It is perfect to [analyze], create dashboards to present in corporate meetings, use to project scenarios, and to forecast financial figures. It has a huge list of options of formatting, and graphics, so it is perfect for financial presentation. It is not a solution to create and maintenance big data, for this prefers ERP's

Any quick data manipulation, storage and reporting can be done through excel. Non tech and business users are quite knowledgeable in excel and they prefer excel documents for task like weekly monthly and quarterly reporting. Excel won’t work for big tables where rows exceed a million. In such cases it becomes too slow and often crashes

Excel is suitable when the user has a lot of data to manage and calculate. So data management is what Excel is used for. For example, for making financial statements or reports, it is very useful. Excel can manage large amounts of data and helps in sorting and viewing them. However, it will not be suitable for doing complex calculations of large data.

MS Excel is an overall useful tool. If you only had one program you could install then Excel will do most things you need (with training). Well suited to reporting, developing scenarios and tracking work. In terms of less appropriate, large projects that require process flows and monitoring then I feel Pipefy is more suited to this however used together they make working life a dream.