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Showing posts with label dykes. Show all posts
Showing posts with label dykes. Show all posts

Saturday, February 14, 2015

Differences between Reporting and Analysis –Theory Points from Brent Dykes blog



Hi Guys,

This post is taken from http://blogs.adobe.com/digitalmarketing/analytics/reporting-vs-analysis-whats-the-difference/
Thank you Brent Dykes such a nice explanation .
 
As a BI developer we ought to know the theoretical concepts hence Ive made a notes on the same from the Brents post. 

Difference between Reporting and Analysis – Theory 

Report­ing and analy­sis are very dif­fer­ent in terms of their pur­pose, tasks, out­puts, deliv­ery, and value
Reporting
Analysis
Purpose
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).
     7.Par­tic­u­lar data is pulled by an ana­lyst in order to answer spe­cific busi­ness ques­tions.

         8. Types
·         Canned reports, dash­boards, and alerts.
·         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.
         8.Types
·         Ad hoc responses
·         Analy­sis pre­sen­ta­tions

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