3 Reasons when you should replace Excel with Power BI
Microsoft Excel for decades has been the go-to platform for most organisations when it comes to forecasting and financial modelling. It’s one of the most commonly used programs in the business world and has been dubbed the ‘standard spreadsheet’ making it the dominant program in its market. With over 400 available functions categorized into themes, you have at your fingertips enough functions to make any quick computations and analyses a breeze… it is an all-around tool, which most of us have come to accept.
Don’t miss understand here, we’re not suggesting that Excel has reached the end of the road and is very much a key tool in the Microsoft office productivity suite. Both these Microsoft solutions have their place in their own spheres, and once you get to know them individually you’ll soon realise that they share some functional similarities, such as:
- Both use Power Query and Power Pivot,
- Enabled integrations between Excel and Power BI,
- Both have additional Office integrations.
However, whilst there is a long list of pros and cons which we could consider in this post. We’ve boiled it down to just 3 core reasons for when you should be replacing Excel with Power BI.
Real-time Data Analysis, trends and alerts.
No Data Limitations
In Excel, you’ll have trouble opening a file with more than 500 MB in size. But it won’t happen in Power BI. This program uses powerful compression algorithms to import and cache data.
Efficiency is one of the most obvious reasons why Power BI is such a valuable tool, as large datasets no longer require cutting down in size or the need to be aggregated to show greater encompassing analysis – all of the most granular details and summarisations can exist together in one file and be assessed through drill-downs.
On top of the ability to store a vast amount of data, you can also modify and prepare your data. Power BI makes many tasks straightforward, including:
- Transformations and edits – you can change formats, delete rows, add columns and transport data quickly and easily.
- Adding relationships in various tables – this is very useful if you have a star or snowflake schema.
- Adding new datasets – as new data is discovered, you can integrate it on Power BI without having to merge your existing data all over again, allowing flexibility in linking datasets together.
- No more repetitiveness – Power BI remembers your data preparation steps and automatically repeats them during data refreshes, meaning that you don’t have to manually reproduce these steps each time.
Power BI has transformed the way you share data by publishing your work directly to Power BI Service, a cloud-based service which is hosted by Microsoft.
Furthermore, this service automatically refreshes your data. So once you publish, you never have to go through the pain of re-uploading again and again to update the version.
Power BI Service has many other benefits in addition to the storage and distribution of your data, including:
- Create dashboards that have the ability to:
- Host visualisations from different reports,
- Customise the size and layout of visuals; and,
- Set them up in a way that’s insightful and useful to you and your specific role.
- Use visualisations connected to data sources to create your dashboard.
- Share dashboards with other users in your company. This combined with the granular level of security means you have a high level of control over your data security, even down to row level.
On top of those, you could make reference to one other core difference, that being the UX or how the base data is handled and presented. In Excel, data is formatted in tabular forms with rows and columns from which you can then build/generate visualisations, whereas Power BI is not designed for tabular-style data or reports. Yes, it’s possible, but it’s not as intuitive. Which for many can throw you off, especially when in Power BI you’re greeted with an empty space. But once you’re over that you’ll start to realise the true Power from your data!
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