Analytics - Data analysis guidelines   4-page Word document
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For every organization it is important to discover, interpret, and convert patterns into meaningful data. This complex objective of any organization can be achieved with analytics. It also entails applying data patterns towards effective decision making. In a simple language, analytics is the solution to the barrier of decision making within an organization.

Every business analyst should know the optimal tools and techniques to use in any situation. Having this skill reduces stress, improves performance, and enables better results
Data analytics applications convert raw data into information. Their prime objective is to make sense of data from one or multiple sources. These tools are a business analyst's optional friends. They are not used regularly but, in a data-driven project or environment, these applications help an analyst make sense from a large amount of data with a variety of presentation capabilities.

This document is the work of Adaptive US Inc. It is the World's most innovative business
analysis solutions organization which has successfully conducted 300+ BA workshops and
has served 200+ top-notch clients including Wells-Fargo Bank, Credit Suisse, HP, CGI, AXA, AkzoNobel, Ness, Unisys, etc. We are proud to have a 100% key client retention rate.

The Analytics Toolkit is broadly classified into multiple domains:
1. Identify Research Question
2. Sourcing the Data
3. Analyzing the data
4. Interpret and report analytics findings
5. Use analytics result to improve business
6. Guide Company level strategy for analytics.

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Source: Analytics - Data analysis guidelines Word (DOCX) Document, LNMishra


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Author: LNMishra
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