Why should you spend some time in data visualization before analyzing it?
Imagine you being asked to inspect a dish without the ingredients being mixed? Will you be able to judge a half-done cuisine? Of course, not — a chef will be able to analyze the food only when the ingredients are mixed in the required quantity and cooked to perfection.
The same logic applies to data, you would never be able to study data if it is not dragged, dropped, organized or picturized. The creativity done on data enhances its qualitywhich makes it more Interpretable and analyzable.
Microsoft Excel has always been the most powerful tool used for data visualization, but it’s time to be more creative, now it’s not just table or chart, many things can be added to top-up your data. So, you would ask here, why go for new complex software when I am comfortable with the one which I am using for ages? Well to explain this, let me give you a very simple example of that small digital device in your hand — yes, your mobile phone. Do you use the same phone for ages? No, because you want to upgrade yourself with the pace of technology. You want a better camera to make your pictures more presentable. Similarly, the latest visualization tools have some additional features which the traditional software would not suffice.
The visualization tools available in the market are Tableau, PowerBI, Qlikview, Spotfire, Python, SAS/R and many more that can be used as per the business requirements. The concept of all these applications remains the same that is reporting, ETL (Extraction, Transformation, Loading), Data warehousing. In any business, there are lots of data expected from different sources (reporting) which need to be accommodated at one place (data warehousing) through a process (ETL) to visualize and get a final report for analyzing.
Out of the mentioned ones, Power BI provides some of its services free of cost. It is easily downloadable from https://powerbi.microsoft.com/en-us/downloads/. The Desktop version of Power BI is recommended by the specialists. Power BI is a user-friendly BI that makes system learning accessible to end-users without the knowledge of complex coding, unlike the traditional BI which is complicated and needs the interference of the Information technology department.
Power BI accepts all kinds of data input like MS Excel, csv, xml, txt, sql server database, web page data, zipped folders, online CRM, and many more compatible sources. Working on Power BI can be defined in 3 simple process – Build a report Upload on Power BI service (cloud)Publish and make it accessible to users through either a link or any other mode which can be viewed on different digital devices available in the market.
Did you notice a new term in the above paragraph? Well it’s the Power BI service, which is nothing but a cloud-based set-up where the reports are uploaded before publishing. This can be called as one of the limitations of Power BI as it does not allow to upload your stuff into an on-premise setup, which leads to ambiguity in the data security. However, the team is working on its best to ensure the safety of your data.
Nevertheless, the advantages of Power BI overcomes its minute limitations.
- Low cost
- Easy Customization
- Bright Future – high demand tool in the job market
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