⊿ Point. {R} Glossary. ◢ Keyword: A. ▰ Sources. 〓 Books [B] ◥ University. {q} PhD. ⏫ THEMES. ⏫ Big Data. [B] Big Data. ⚫ USA. ↂ EndNote. ☢️ Text. ☢️ Operationalised. ☝️ BD Dummies. Analytics. Discovery, interpretation, and communication of meaningful patterns in data Analytics is the systematic computational analysis of data or statistics.[1] It is used for the discovery, interpretation, and communication of meaningful patterns in data. It also entails applying data patterns toward effective decision-making. It can be valuable in areas rich with recorded information; analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance.
Organizations may apply analytics to business data to describe, predict, and improve business performance. Analytics vs analysis[edit] Data analytics is a multidisciplinary field. Applications[edit] Marketing optimization[edit] Marketing organizations use analytics to determine the outcomes of campaigns or efforts, and to guide decisions for investment and consumer targeting. People analytics[edit] Portfolio analytics[edit] Risk analytics[edit] Digital analytics[edit] Challenges[edit]