What is the difference between Excel and Power BI?
For years Microsoft Excel was the backbone comfort zone when it came to reporting financial figures to executives and analysing data. However, data had become the most valued asset of today, and it comes in large volumes.
When it comes to capturing data, calculating formulas across columns and generating simple static graphs, Microsoft Excel makes the cut. However, to analyse your data on the fly and to link vast amounts of different sources to generate the appropriate KPIs and creating dynamic graphs for easy filtering and drill down into the facets of your company, Power BI will be the overachiever.
One of the problems ordinary Excel users encounter is when facing the analysis of large files of big data. Records of 300 MB are harder to run on most computers, and when it comes to performing dynamic analysis, it can become a drag for any analyst, especially when multiple sources of data need to be linked.
Power BI’s new compression algorithms can handle more significant amounts of data to produce swift analysis and links between tables.
When KPIs need are calculated from various datasets, Power BI includes more powerful tools for building data models that will create a coherent machine of analysis. Power BI saves all the steps made in queries when building a model, and so each level will be applied to new data added.
Another matter is the challenge of time intelligence. Many analysts would perhaps spend hours writing macros via VBA to produced time series analysis. Power BI can take the load off by creating date tables within any model to build better communication between datasets to provide accurate measures at a given time.
Set aside from the mighty features Power BI supplies, another significant aspect would be its user experience. Once your data model is created, the journey from a first visual to a full-blown dashboard is a pleasurable challenge and a fun way to see your data come to life. With easy switching between multiple options of visuals to choose from, any analyst would find it a dream to work with such a versatile tool.
Another big win for Power BI is its ability for cloud computing within the Power BI Service platform. Instead of sending large Excel files to colleagues and letting them know data are updated on a shared drive, one can easily publish new reports to the cloud to quickly analyse the latest data as it streams in. All measures and calculation were done with Microsoft Azure’s cloud computing crunching the numbers.
Are you still stuck using Microsoft Excel to harness the actual value of all the data your company accumulates?
Allow Drivatic to provide you with the easy solution of taking all development off your hands and giving room for you to do fun parts of seeing your business come alive with its data in stunning visual dashboards, created for practical use to drill down to the specific piece of info you need to grow your business.
Contact Drivatic today for a demo of our analytics platform.
Power BI vs Excel
|The basis Of Comparison Between Power BI vs Excel|
Excel does have some of the newer charts now; they can’t connect to the data model.
Power BI is ideal for Dashboards, alerts, KPIs, and visualisations, including analysing your data visually.
Excel reports are average and ordinary comparing Power BI.
Power BI offers beautifully branded reports comparing Excel.
Excel does not advanced Cross filtering between charts.
Power BI allows advanced features in Cross filtering between charts.
|Dashboard Refreshment|| |
Excel does not allow dashboard refreshment.
|You can refresh data in Power BI.|
Excel offers simple analytics compared to Power BI.
|Power BI offers High-level analytics.|
Reports available is limited to specific users.
Reports available to a broad range of readers with varying degrees of tech-savvy.
Excel is your traditional spreadsheet program with a very long history, which leads to a vast array of features.
|Power BI is an advanced version of the analytics tool with a large number of features to play with data.|
Excel is entirely focused on structured and straightforward data models with a wide range of features.
|Power BI is really focused on data ingest and building potentially complex data models quickly.|
In Excel, it is difficult to relate the separate table to one another.
In Power BI, you can easily relate separate tables to one another.
Capable of handling a limited dataset.
|Capable of handling larger dataset.|
Dataset and report are not so resilient.
|Sharing data and reports are very flexible.|
A user has limited features to build up reports.
|A user can build up a customized dashboard.|
Speed for processing with table, graph, and filtering is slow.
|Faster Processing with table, graph, and filtering.|
|Purpose||Excel is historical analytics tools for an analyst.|
Powerquery is a very good idea to simplify cleaning and crunching of any source of data.
Excel applications are a little bit difficult to use comparing Power BI.
|Powerful tool and easy to use compared to Excel.|