Web Analytics

background and history of business intelligence :

According to Wikipedia, the term “business intelligence” was first used by IBM researchers, Hans Luhn in 1958, he defined it as. “To capture the ability to act, the interrelationships of presented facts in a manner toward a desired goal lead.”

Since that time has business intelligence (“BI” also known as) was developed and grown and today, when the term “BI” is used broadly refers to the collection, storage and analysis of data to meet for the purpose of making intelligent business decisions.

purpose of BI technology :

Most (if not all) companies deal with huge amounts of data to analyze this raw data into a fast and accurate manner is extremely difficult because the most important trends that are masked by the sheer amount of information. to digest.

This business intelligence software and technologies can help. BI provides a proven process, well-defined methodology and analyze business critical information quickly and accurately. This is achieved via the BI “stack”

Business Intelligence stack .

The BI stack has always been defined as follows: 1

Data Layer.

Consisting of the raw data that needs to be analyzed; OLAP (Online Analytical Processing) sources, various tables, such as MS Excel, CSV files and even data sources that are not structured MySQL, MS SQL, Oracle and Access databases: data from different sources, such as stem]]>..

Analytics Layer 2:

This layer is responsible for converting the raw data into meaningful Informationen.Komponenten, such analysis can form layer:

i.Data Mining: refers to the method of extraction patterns Raw data
ii .. Predictive analysis: covers the analysis of data and predict future events or patterns
iii .. KPI formulation, the formulation of key performance indicators (KPIs), among which are a company
iv .. And all other business-specific methods for the transformation and data massaging.

3 Presentation Layer:

The presentation layer is responsible for the visual representation of data by the analysis versehen.Daten visualization can be achieved through digital dashboards, performance scorecards, graphs, reports, ads, ads and other visualization components. ” p>, as summed up the BI stack capabilities:

The data are from a variety of data sources gesammelt.Die then massaged into meaningful information umgewandelt.Die information is displayed to users with data visualization methods end. ” p> The Future of Business Intelligence .

BI technology is constantly evolving and this is caused by changes in the BI stack resist

It is important to note that the stack is not “carved in stone.” The nature of the business depends to a large extent, and how a company decides to implement Business Intelligence in their decision making, the implementation of the BI stack will be affected.

Recent “changes” to the pile include things like:

The mass adoption of mobile BI, which is reflected in the presentation layer wird.Große advances in predictive analytics, a part of the analytics layer . Eco-Friendly Data Storage.