{"id":1935,"date":"2016-10-31T16:57:42","date_gmt":"2016-10-31T14:57:42","guid":{"rendered":"https:\/\/webanalyst.ro\/?p=1935"},"modified":"2016-10-31T17:01:44","modified_gmt":"2016-10-31T15:01:44","slug":"descriptive-analytics","status":"publish","type":"post","link":"https:\/\/webanalyst.ro\/blog\/2016\/descriptive-analytics\/","title":{"rendered":"Descriptive Analytics"},"content":{"rendered":"<p>La \u00eenceputul anului, treceam \u00een revist\u0103 principalele <a href=\"https:\/\/webanalyst.ro\/blog\/2016\/niveluri-in-analytics\/\" target=\"_blank\">niveluri din analytics<\/a>: descriptive, diagnostic, predictive \u0219i prescriptive analytics. Observam de atunci c\u0103 majoritatea activit\u0103\u021bilor din digital analytics se \u00eencadreaz\u0103 la descriptive analytics. Haide\u021bi s\u0103 afl\u0103m mai multe despre acesta!<\/p>\n<p>Dar ce este descriptive analytics? Nu este o surpriz\u0103 c\u0103 sunt multe defini\u021bii diferite, dar cel mai mult mi-a pl\u0103cut cea care vede \u00een descriptive analytics <strong>sinergia dintre date \u0219i decizii<\/strong>. Pentru asta, primul pas este <strong>ob\u021binerea de date de o calitate bun\u0103<\/strong>. Da, la fel ca \u00een web analytics.<\/p>\n<p>\u00cen func\u021bie de problemele pe care \u00eencearc\u0103 s\u0103 le rezolve, avem 3 tipuri de descriptive analytics:<\/p>\n<p><!--more--><\/p>\n<h2>Exploratory Research<\/h2>\n<p>Atunci c\u00e2nd problema este ambigu\u0103, precum motivele din spatele unor v\u00e2nz\u0103ri mai slabe \u00eentr-o anumit\u0103 promo\u021bie, se folose\u0219te acest tip de research. Este un prim pas \u0219i de obicei ofer\u0103 doar un prim r\u0103spuns sau chiar o b\u0103nuial\u0103. Este totu\u0219i un pas important \u00een rezolvarea unei probleme. Rezultatele pot fi privite ca ipoteze care s\u0103 fie testate ulterior.<\/p>\n<p>Analiza mesajelor din social media sau alte comunit\u0103\u021bi online pot fi surse de date \u00een exploratory research.<\/p>\n<h2>Descriptive Research<\/h2>\n<p>Descriptive analytics, descriptive research\u2026 lucrurile pot fi confundate, mai ales c\u0103 acest tip de analiz\u0103 r\u0103spunde la \u00eentreb\u0103ri descriptive J<\/p>\n<p>\u00cen aceast\u0103 faz\u0103 se caut\u0103 r\u0103spunsuri la probleme bine cunoscute. De exemplu, cine sunt clien\u021bii concuren\u021bei? R\u0103spunsurile sunt \u0219i ele solide, de regul\u0103 bazate pe cifre. Descriptive research se folose\u0219te de cele mai multe ori atunci c\u00e2nd se caut\u0103 r\u0103spunsuri la \u00eentreb\u0103rile venite de la management.<\/p>\n<p>Tipurile de date folosite \u00een aceast\u0103 analiz\u0103 pot fi active (precum studiile de pia\u021b\u0103) sau pasive (precum analiza de la punctul de v\u00e2nzare, posibil\u0103 inclusiv \u00een magazinele online).<\/p>\n<h2>Causal Research<\/h2>\n<p>Prin descriptive research avem r\u0103spunsurile la \u00eentreb\u0103ri, \u00eens\u0103 nu putem afla \u0219i cauzalitatea. Rezultatele se datoreaz\u0103 schimb\u0103rilor f\u0103cute \u00een ultimul timp? Cu descriptive research vedem corela\u021bia, cu casual research, dup\u0103 cum \u00eei spune \u0219i numele, afl\u0103m dac\u0103 a fost cauzalitate.<\/p>\n<p>Pentru a stabili cauzalitatea nu este suficient numai s\u0103 stabilim impactul unei variabile asupra altei variabile, dar trebuie \u0219i s\u0103 ne asigur\u0103m c\u0103 nu exist\u0103 alte variabile care le influen\u021beaz\u0103 pe primele dou\u0103.<\/p>\n<p>O metod\u0103 popular\u0103 pentru a stabili cauzalitatea \u00een mediul online este <a href=\"https:\/\/webanalyst.ro\/blog\/tag\/ab-testing\/\" target=\"_blank\">A\/B testing<\/a>-ul.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>La \u00eenceputul anului, treceam \u00een revist\u0103 principalele niveluri din analytics: descriptive, diagnostic, predictive \u0219i prescriptive analytics. Observam de atunci c\u0103 majoritatea activit\u0103\u021bilor din digital analytics se \u00eencadreaz\u0103 la descriptive analytics. Haide\u021bi s\u0103 afl\u0103m mai multe despre acesta! Dar ce este descriptive analytics? Nu este o surpriz\u0103 c\u0103 sunt multe defini\u021bii diferite, dar cel mai mult [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1938,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[823,826,822,825,824],"class_list":["post-1935","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-analiza-descriptiva","tag-causal-research","tag-descriptive-analytics","tag-descriptive-research","tag-exploratory-research"],"_links":{"self":[{"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/posts\/1935","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/comments?post=1935"}],"version-history":[{"count":2,"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/posts\/1935\/revisions"}],"predecessor-version":[{"id":1939,"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/posts\/1935\/revisions\/1939"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/media\/1938"}],"wp:attachment":[{"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/media?parent=1935"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/categories?post=1935"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/webanalyst.ro\/blog\/wp-json\/wp\/v2\/tags?post=1935"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}