Databox Vs. Power BI: Which One Should You Go For?

What is Databox?

Databox is a business analytics KPI dashboard. It assembles all your metrics in one place and helps in delivering the central KPIs across multiple devices. Databox allows you to get off easy with monitoring your marketing activity and measure ROI by pulling all of your crucial data into one dashboard so you can track performance and discover insights in real-time. In short, Databox combines the necessary information into actionable results.

One of the prime reasons to combine data to work with new KPI options is due to the competitive marketplace. Data aggregators allow you to eradicate the noise in the data that doesn’t provide you absolute new directions. Moreover, it also helps you to take advantage of tools that are used from the top of the funnel to the bottom to make connections about what actually seems to seal deals in your business. Furthermore, it is very much helpful for companies who want to draw connections and understand patterns that may not be as visible in a wall-of-numbers spreadsheet – data visualization can possibly reflect patterns that were already in the data, making them more visible.

Pros:

  • The dashboards build within Databox are visually compelling and highly customizable and reviewers like the chic design of the boards they can create.

  • It’s easy to use on desktop and across mobile devices i.e. tablets.

  • Its templates work to assimilate the most frequently used features of popular integrations such as HubSpot CRM & Google Analytics.

  • Surprising connections are made possible through the integration of data from accounting and data from web traffic and advertising platforms.

Cons:

  • Creating your own data connectors is difficult without a pre-arranged integration.

  • The more customized reports are usually only at the more expensive tiers, so you should know in advance which report you need access to.

  • Many users have found the editing tools a little bit fussy.

  • Visual customizations are available however, they’ve been less extensive than some users’ expectations.

 


 

What is Power BI?

Power BI is a business analytics solution that allows you to visualize your data and share insights across your organization. In other words, Power BI is the collective name for an assortment of cloud-based apps and services that lets organizations manage and monitor data from multiple sources like; through a user-friendly interface.

Power BI primarily pulls data together, processes it and turns it into comprehensible insights, by using visually appealing and easy-to-process charts and graphs. Moreover, Power BI is infused with machine learning capabilities which means, it can spot patterns in data and use those patterns to make informed predictions and run “what if” scenarios. These predications help users to generate forecasts and prepare themselves to meet future demand and other key metrics.

Businesses that look for more reporting power and analytical muscle than that offered by Excel, Power BI can take their business intelligence to a whole new level. With Power BI, businesses can assemble, scrutinize, and visualize data from within the company, providing a better understanding of their processes and performance – allowing them to make smart decisions based on real data.

Pros:

  • Businesses can input large volumes of data into Power BI that many other platforms may struggle to process.

  • Built-in machine learning features can monitor data and allow users to identify useful trends.

  • Information can be visualized via strong templates to enable businesses to make better sense of their data.

  • Through strong personalization capabilities, users can make dashboards to access the data.

  • It allows you to set up alerts on KPIs to keep users up to date to the crucial metrics and measurements.

  • Due to its intuitive interface, Power BI is user-friendly and easy to navigate then intricated spreadsheets.

  • Power BI ensures data-safety by offering granular controls on accessibility both internally and externally.

Cons:

  • Power BI might not be able to handle complex relationships between tables in a data model.

  • Power BI doesn’t offer many options to configure your visualizations according to your requirements. So, users have limited options when it comes to changes in visuals.

  • Users often find the user interface of Power BI crowded and bulky.

  • Power BI has a limit of ingesting large volumes of data at a time which is approximately 2 GBs of data.

Now that we have provided you the pros and cons of both Databox and Power BI, you can certainly choose which tool fits perfectly for your data visualization and data analysis.

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