By . Tracking Spreadsheet. At Tuesday, April 27th 2021, 18:56:46 PM.
If you are on a budget or looking to get on one, tracking your finances plays a major role in how successful your budget will be. A personal finance spreadsheet is a great way to keep track of your income and expenses. By using a Microsoft Excel spreadsheet or a Google docs spreadsheet you can easily see exactly how much you are spending and how much you are saving each month. The great thing about personal budgeting spreadsheets is they can easily be modified to fit your budget. You can enter the exact categories you use monthly for your income and your expenses. These categories can be really detailed such as having individual credit cards listed by name or they can be broad such as having one group named credit cards for all your credit card bills.
Like a spreadsheet, users can examine data in numerous ways. However, theres no need for complicated formulas and no need to examine row after row of data and figures. Instead, business intelligence platform users simply drag and drop data and view it visually. Data visualization tools display results in numerous ways such as traditional charts and graphs as well as highly visual gauges, maps, meters, and more. Data can be drilled down in an instant, allowing users to hone into relevant data based on their interests or job roles. BI tools and dashboards can be set to monitor key performance indicators for real-time insights. In addition, ad hoc reporting makes it easy for users to create custom reports detailing whatever data they need to analyze on the fly. If youve ever tried to create custom ad hoc reports with Excel, you know how cumbersome and time-consuming it is - and thats after youve imported the latest data into the spreadsheet.
With that in mind, lets look at some of the differences between these two different types of tools. For the purposes of this article, I selected six criteria by which to make the comparison. These were selected from the feedback of customers and prospects as well as learning what is important for the successful adoption and implementation of project tools within an organization. Data Mining Data mining is a huge part of project management tools. The whole reason for having a tool is to collect data, so that you can look intelligently at that data, make sure your processes are performing as advertised, and make good decisions. You need to know which projects and tasks are slipping through the cracks so that you again react. You need to know when you will not have enough resources to meet demand so that you can allocate them properly or manage the demand. You need to know which issues are lurking so that you can address them now before you lose the favor of a critical customer. And you need to see how your processes are working so that you can continuously improve your processes.