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The first step in the process is to identify and gather all the necessary data. Once identified, the data is extracted from the source system, scrutinized and cleaned for any anomalies and loaded into a data repository. The data repository typically refer to a data mart or a data warehouse. Once the data is available, various BI applications could be deployed to create the information that the end-users need in the format they require, including reports or dashboards.

It is also possible to create advanced mechanisms such as cubes three dimensional structures to allow interested users to further drill-down given initial results and insights that were extracted from the data. Of course, several statistical tools could also be used for additional analysis.

Business Analysis for Business Intelligence - Bert Brijs - Google книги

The entire BI lifecycle is supported by a BI technology platform.. In this whole process it is crucial to understand how the business needs are supported by BI solutions, and this is what this course will address. It will focus on how to translate business needs into requirements for BI projects. Day 1: High level overview 1.

Business Analysis 2.


BA Techniques 4. No entry requirements. The target population is non-technical, junior users with a limited or no prior knowledge of BI or business analysis concepts. The Business Analyst depends on the use of the predictive models, specific data sets and statistical analysis to justify why a business decision needs to be taken based on predictive analysis of future performance parameters.

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BI refers to the analysis of the same business data on a wider scale and with large volumes of unstructured data and focuses on the how and what- approach to business needs involving what and how you can use and mine raw data, the tools required for OLAP, querying, data management and reporting etc, to align and draw out the business performance goals and stimulators based on both prescriptive and predictive analysis.

You can learn all of these by doing a Business analyst course.

How Does Business Intelligence Work?

BI reports analyzed data as against BA which uses technology and tools to perform data operations. BI uses current, past and historical data in comparison to BA where past data is used to gain foresight or extract insights.

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Both have the same goal of increasing productivity, efficiency and use data to achieve business results. BI is the method or process whereas BA comprises of inputs from BI to arrive at the visualized and extracted information. BI provides insights drawn from the data in use while BA is the process of working on the data and arriving at solutions for the use of Big Data in use.

BI appears to be a part of BA which effectively uses information management, data warehousing, business applications, security measures, and risk mitigation.

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BI uses a combination of predictive and statistical analysis and modelling in comparison to BA which works on huge data volumes to analyze, retrieve, publish and make reports on it. BI uses sets of structured data drawn from applications like the ERP or financial software applications while BA cleans and works with unstructured data while transforming the data into valuable meaningful data for BI. BI normally is restricted to dashboards with a user-interface in comparison to BA which relies on a vast armoury of tools and software applications.

Business Intelligence - Data Analysis and Reporting

BI uses the same format and a sub-set of data for insights while BA works on the raw data to transform it into various databases to draw out trends and foresight. BI roles like executives, analysts, and managers use pivot tables, reports and the dashboards while BA analysts use past BI reports and capacities to help get tasks done with the required BA information. BI is a subject in the field of the ever-popular BA.