Setting up a personal budget for you and your family isn’t as hard as you might think. What’s hard is maintaining and keeping it working for you for any length of time. If you are setting up a personal finance budget, here’s 3 tips to keep in mind.1. KEEP IT PERSONALThat might sound like a given, but with so many budget programs and plans out there, you’d be amazed just how easy it is to try and shoe-horn your personal finance situation into another person’s perfect design. Don’t do it.By trying to make someone else’s ideal, your own, it will only be that much easier to give up on it later when it turns out that it doesn’t work for you. This means setting up categories that are specific to your situation and lifestyle. If you do a lot of camping, for example, and that’s not one of the categories on your pre-formated budget sheet, don’t try to squeeze it into “Recreation” or “Entertainment.” Make a category for “Camping.”2. KEEP IT SIMPLEOne of the quickest ways to give up on a personal finance budget is to have it be so complicated that the week after you set it up, you’re not sure why you did what you did and can’t figure out how to update it. Keep it simple.Keeping the budget simple also means not having it be too much work to maintain. If it’s too much work, then you are really not going to feel like doing what needs to be done, because, it’s too much work.3. AUTOMATE TASKSDo what you can to make things happen automatically so that keeping and maintaining a budget doesn’t wear you out. For example, if you want to track how much you are spending on entertainment during the month, just keep your receipts and stash them in an envelope somewhere. At the end of the month, just add them up and you know how much you spent. This is much easier and “automatic” than writing down everything on a daily basis.As I mentioned at the start, this article was about how to keep the budget going once it gets started. You could sit down tonight and make up a budget, but will it work for you? Will you be able to maintain it over the long-term?Follow the 3 budgeting strategies above and you will greatly increase your chances of designing a personal finance budget that will last as long as you need it to.

Microsoft Excel comes to mind when considering a suitable reporting tool for businesses. Excel has been a natural choice for years because of its data organization and analysis capacity. However, as systems change and the demands for data analytics become more complex, it has become clear that the software has some limitations, hence it is necessary to shift from excel to power bi.

For organisations, Microsoft’s Power BI provides robust analytics and reporting features. Power BI delivers significantly more insight than Excel thanks to faster experimentation with visualisations, statistical functions, and calculations across large datasets and the capability to derive answers instantly through the quick recombination of fields.

Listed below are a few advantages of moving from excel to power bi:

Excel to Power bi – Accessing and Storing Large Quantity of Data

Microsoft Excel can perform simple and complex arithmetic operations and functions. However, its effectiveness wanes when you have enormous amounts of data that cannot be opened. This makes it less than ideal.

You can view, analyse, and visualise the more significant data sets that Excel struggles to manage with Power BI’s impressive comprehension capabilities. Not only are these things possible, but your files can also be stored and analysed using only 50 megabytes. To import and cache your data inside a .PBIX file, Power BI makes use of robust comprehension algorithms.

Efficiency is one of the most apparent reasons why Power BI is such a valuable tool. It eliminates the need to aggregate or reduce the size of large datasets to show a more comprehensive analysis. Instead, all the most minute details and summaries can coexist in one file and be evaluated through drill-downs.

In addition to having a massive amount of storage space, you can also edit and prepare your data. Many tasks are made simple by Power BI.

Excel to Power bi – Data Protection

Any business has always placed a high priority on data security. For all kinds of organisations, big or small, the growing threats of data theft, unauthorised access, and invasion by foreign entities have become major concerns. Excel has features that safeguard your data. Excel limits access to files, sheets, or any worksheet as part of security measures.

The user can keep any document locked to prevent unauthorised personnel from accessing the data. The read-only option prevents external parties from editing or otherwise altering the document. Excel does provide security features, but they are basic and lack more sophisticated features.

In contrast, Power BI offers data protection features that are highly dependable, scalable, and responsive to current business requirements. Power BI has the industry’s best built-in security control. Role-based authentication, cloud security, risk monitoring, risk identification, and network security are a few of the security features that Power BI offers.

Compared to Excel security features, Power BI’s data security measures are unquestionably more detailed and trustworthy.

Excel and Power BI provide analytics features, but in comparison, Power BI’s presentation of the visuals and analytical results is much more thorough and appealing. Excel offers basic analytical features, whereas Power BI provides advanced, business-focused analytical features.

Although some of the more recent charts are available in Excel, they cannot connect to the data model. Excel’s portfolio does not currently include some of the newest trending charts at the application level. It only has restricted access to the data model as a result.

However, Power BI has all the features necessary to satisfy customers’ new demands interactively. With the help of Power BI, an organisation can access real-time dashboards, performance indicators, and an alert system. Using data from the past, the organisation can visualise the present and future data.