Data dis­cov­ery refers to the explor­at­ory pro­cess in which you dive deep into your data to dis­cover pat­terns, trends and unknown cor­rel­a­tions. It involves search­ing through data from vari­ous sources and ana­lyz­ing it in such a way that new, valu­able insights are gained.


With mod­ern tools, you can explore data intu­it­ively and inter­act­ively without the need for in-depth tech­nical know­ledge. This approach makes it pos­sible to identify both known and unex­pec­ted inform­a­tion that may be rel­ev­ant to busi­ness strategy or prob­lem solving.
Data Visu­al­iz­a­tion is used to con­vert com­plex and large amounts of data into easy-to-under­stand visual formats such as charts, graphs, maps or dash­boards. This makes abstract fig­ures and inform­a­tion tan­gible so that pat­terns and anom­alies can be recog­nized more quickly.


Data visu­al­iz­a­tions help to present data in a com­pre­hens­ible way, which not only makes it easier to com­mu­nic­ate find­ings, but also speeds up decision-mak­ing. Inter­act­ive visu­al­iz­a­tions also allow you to delve deeper into the data inde­pend­ently and thus enable an inter­play with data discovery.