10 Data Exploration Tools To Explore in 2023

All of us are in need of some assistance when trying to conjure up magic from data. While the skills lie primarily with the human, choosing the right technology stack is arguably equally as important. Let’s look at some of the top data exploration tools in brief that you can investigate further: 

  1. Explorazor

Explorazor is a data exploration tool that unifies all the datasets of a company into a single, consolidated dataset. The aim is to provide Brand Managers with a single source of truth that they have ready access to at all times, which helps them identify red flags and explore revenue growth opportunities faster than ever, via point-and-click root cause analysis, instant data pivot extraction, a simple search interface, and many other highly relevant features.

Brand & Sales Teams find it extremely easy to adapt to and use this data exploration tool as a complement to Excel and take their hypothesis testing speed to the next level.

  1. Microsoft Power BI

One of the most renowned Business Intelligence platforms in the world, Power BI supports dozens of data sources, allowing users to create and share reports and dashboards. Power BI comes with strong visualization capabilities, also giving users the option to merge reports and dashboard groups for straightforward distribution. 

Data exploration tool comparison: Power BI vs Explorazor

  1. Tableau

Tableau is again a very popular data visualization tool, competing with the likes of Google Charts, Grafana, Power BI, Qlikview, and others. 

Tableau dashboards provide users with advanced visualizations like motion charts, bullet charts, treemaps, box-plots as well as basic pie charts and histogram views.

  1. Looker Studio / Google Data Studio 

Looker Studio, formerly known as Google Data Studio, is a data visualization and dashboarding tool that helps create interactive reports and dashboards quickly. It is typically used to create ‘stories out of numbers’. One of the biggest advantages of Google Data Studio is the automatic integration it offers with many other Google applications like Google Ads, Google Analytics, and Google BigQuery. And it’s free.

  1. Looker

Is this data exploration tool the reason Google changed its name from ‘Data Studio’ to ‘Looker Studio’? We wonder…

Looker is a data visualization tool that is in direct competition with Power BI and Tableau. Instead of describing Looker’s capabilities here, we’ll leave you with a link that compares all the 3 tools with respect to certain parameters. Click here

  1. Datapine

Datapine offers dashboards according to function, industry, and platform for users to make data-driven decisions. It is suitable for beginners as well as advanced users, providing suitable features for both. Datapine’s advanced SQL mode lets users build their own queries. Overall, Datapine is focused on providing an interactive + fast BI experience.

  1. Jupyter Notebook

This web application is for developers to use live code for report creation based on data and visualizations. Jupyter Notebook is free and open-source, and is compatible with a browser or on desktop platforms.  However, Python’s package manager, pip, or the Anaconda platform have to be installed. Jupyter supports 40+ programming languages as well.

  1. ThoughtSpot

An analytics platform where users can explore data from multiple source types via natural language searches. ThoughtSpot is hugely successful with SpotIQ, its AI system, which located deep insights on its own, uncovering hidden data patterns and trends

  1. Domo

The Domo website describes it as ‘a low-code data app platform that takes the power of BI to the next level to combine all your data and put it to work across any business process or workflow.’ Providing +1,000 built-in integrations/connectors for data transfer, Domo also supports custom app creation to integrate with the platform, also allowing easy access to visualization tools and connectors. If you are a business that does not have your own ETL software and data warehouse, Domo could prove useful for you.

The Ultimate Data Exploration Tool?

Dare we explain what Excel does? 

Not in a hundred years.

We have, however, dared to identify some of Excel’s shortcomings when it comes to seamless data exploration. Scouring multiple files in Excel and extracting pivots from each proves to be tedious. 

To prevent productivity from being hampered, we developed Explorazor, a data unification platform that integrates all of a Brand Manager’s data into one single dataset. This includes Nielsen, Kantar, IQVIA (for pharma), and the common primary sales, secondary sales, media spends, etc. 

On Explorazor, users extract data pivots on the integrated dataset instantly, are able to conduct root-cause analysis on multiple datasets at a time, and query the data using an extremely simple search interface. 

This results in managers wanting to test out more hypotheses, conduct ad-hoc analyses themselves, and pry higher quality decisions from the same data that they previously worked on, on Excel.

Explorazor is a great fit for Excel wizards to work their magic better. Have a look at the website.

Take an Interactive Product Tour of Explorazor!