Differences between Reporting and Analysis – Concepts

Definition

       1.The process of orga­niz­ing data into infor­ma­tional sum­maries in order to mon­i­tor how dif­fer­ent areas of a busi­ness are per­form­ing.

Definition

        1.The process of explor­ing data and reports in order to extract mean­ing­ful insights, which can be used to bet­ter under­stand and improve busi­ness performance.

       2.Report­ing trans­lates raw data into infor­ma­tion

        2.Analy­sis trans­forms data and infor­ma­tion into insights.

       3.Good report­ing should raise ques­tions about the busi­ness from its end users

        3.The goal of analy­sis is to answer ques­tions by inter­pret­ing the data at a deeper level and pro­vid­ing action­able rec­om­men­da­tions

      4.Report­ing shows you what is hap­pen­ing

      4.Analy­sis focuses on explain­ing why it is hap­pen­ing and what you can do about it.

Tasks

       5.Reporting: Build­ing, con­fig­ur­ing, con­sol­i­dat­ing, orga­niz­ing, for­mat­ting, and sum­ma­riz­ing.

        5.Analy­sis:  focuses on dif­fer­ent tasks such as ques­tion­ing, exam­in­ing, inter­pret­ing, com­par­ing, and con­firm­ing.

Outputs/Approach

       6.Report­ing fol­lows a push approach

         6.Analy­sis fol­lows a pull approach

       7.Reports are pushed to users who are then expected to extract mean­ing­ful insights and take   appro­pri­ate actions for them­selves (i.e.,     self-serve).


8.Types

Dashboard: These custom-made reports com­bine dif­fer­ent KPIs and reports to pro­vide a com­pre­hen­sive, high-level view of busi­ness per­for­mance for spe­cific audi­ences. Dash­boards may include data from var­i­ous data sources and are also usu­ally fairly static.

7.Par­tic­u­lar data is pulled by an ana­lyst in order to answer spe­cific busi­ness ques­tions.

8.Types
Ad hoc responses
Analy­sis pre­sen­ta­tions

Approach of Reporting and Analysis

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