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.

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.

Well-Suited Situations
In circumstances where analysis of a large and potentially complex set of data is required, this is where the capabilities of Microsoft Excel are well suited. For example, the in-built functions to prepare formulas to perform calculations and prepare tables becomes incredibly useful when handling large sets of financial data, and allows the work process to be more streamlined and efficient.

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.

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 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 to make spreadsheets that analyize information. It is easy to upload to drive. It is easy to make complicated computations where you can change one item and it will flow the changes through to the other items.

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 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.

Microsoft Excel is great for row and column manipulation like Vlookup, Index and Match, along with pivot tables, hiding of tables, and creating automation in VBA for data aggregation. Excel is less suited when it comes for powerful visualization needs since sometimes the graphs can be hard to process in Excel than another alternative.

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

I love Excel. It helps us send YTD totals for all leaders when they need information to create future year budgets.

There isn't a computer user in a business environment that I would not recommend get a license for Excel. It's simply a must. Excel dominates the free alternatives like Sheets. If you are manipulating data in any way Excel is needed.

If all you are looking to do is view data or reports a PDF would probably just fine. You can't edit or otherwise work with the underlying data but in that case you would not need Excel. Conversely, if you want something more robust, like a database, then you would probably want to upgrade to Access. Access if going to better let you query the data and will have have better relationship tools.

Great for quick analysis of data sets, easy to create formatting for presentations, macros allow for automation of repetitive tasks. Not good for very large sets of data (years of company data, tons of records). Pivots and pivot graphs allow for quick insights on data and many different ways of visualizing the data such that others can see the insights as well.

We use it all day every day for analyzing financial data.
I would not use it for simple lists that do not need to be sorted, added, etc.

This is very good if you are tracking limited data, and can automate it. If you are tracking large amounts of data that cannot be automated for whatever reason, a different software should be used. Also, sometimes things go wrong with macros so if you do not have a background in programming it would be very hard to fix the issues if they are more complex.

Microsoft Excel is a detailed, well thought through product that has supported most of my analysis needs. It is great for handling things like large national sales and invoicing files. Easy-to-use pivot tables and graphing tools allow for quick analysis of trends and growth patterns. Linking graphs to PowerPoint allows for easy updates to share with other teams. So many good features--I cannot even list them all. Microsoft Excel has been the tool that I have used for 20+ years while others have come and gone.

Microsoft Excel is easy-to-learn and easy-to-use software. It is well suited in almost every organization to keep and maintain data in organized way. It is also well suited for administrative work.

It is less appropriate in project management because it is time consuming and difficult to track the progress of running projects.