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In: Computer Science

Discuss business analytics and data mining tools including the purpose of each and what an organization...

Discuss business analytics and data mining tools including the purpose of each and what an organization is attempting to accomplish with each in two to three paragraphs.

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Expert Solution

Business Analytics :It refers to the skills,technologies,practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning.It is the process by which business use statistical methods and technologies for analyzing historical data in order to gain new insight and improve strategic decision making.

This helps to achieve things like growth,resolve issues that are urgent,collect all your data in one place,forecast future outcomes.

Some business analytics tools are:

  • SAP
  • Micro Strategy
  • Datapine
  • SAS
  • Zoho Analytics
  • R
  • Python
  • Apache Spark

SAP:It offers several advanced analytics solutions including real-time BI predictive analytics,machine learning,planning and analysis.SAP is a robust software intended for all roles and offers tons of functionalities in one platform.SAP software products provide powerful instruments for helping companies to manage their financials,logistics,human resources and other business areas.ERP system is the backbone of SAP software.

Micro Strategy:It offers powerful dashboarding and data analytics which help monitor trend,recognise new opportunities,improve productivity and more.Users can connect to one or various sources,incoming data can be from spreadsheet,cloud-based or enterprise data software.

It provides a single cohesive offering that empowers both IT professionals and business users to fully harness the power of their data.It is the only analytics platform on market that combines enterprise grade performance,scalability,security.

Datapine:It is an all-in-one BI platform that facilitates the complex process of data analytics even for nontechnical users.It's solution enables data analysts and business users alike to easily integrate different data sources,perform advanced data analysis,build iterative dashboards and generate actionable insights.

I helps to turn data into actionable insights and make data-driven business decisions.

SAS:It is a commercial analytics tool.It is considered as robust,versatile and easy to learn tool.In recent new modules has been added are -SAS analysis for IOT,SAS Anti-money Laundering,SAS Analytics Pro for Midsize Business.

SAS full form is Statistical Analysis Software.There are 4 different types SAS for Windows,SAS Enterprise Guide,SAS Enterprise Miner,SAS STAT Software.

Zoho Analytics:It is used in depth reporting and data analysis.This tool has automated data sync and can be scheduled periodically.you can easily build a connector by using the integration API's.

It is an online reporting and business intelligence service that helps you to easily analyze your business data and create insightful reports & dashboards for informed decision making.

R: It is an open source platform.It handles large data sets much better than it used to say even a decade earlier.Used for statistical computing and graphics supported by R Foundation for statistical computing.

Data Mining:It is defined as a process used to extract usable data from a large set of any raw data.It is also known as Knowledge Discovery in Data.It is a process used by companies to turn raw data into useful information.

Some common Data Mining Tools are:

  • Orange Data Mining
  • SAS Data Mining
  • DataMelt Data Mining
  • Rattle
  • Rapid Miner

Orange Data Mining:It is a perfect machine learning and data mining software suite.It supports the visualization and is a software-based on a components written in python computing language.It allows users to make smarter decisions in a short time by rapidly comparing and analyzing data.

It is a good open-source data visualization as well as evaluation that concerns beginners and professionals.It can read documents in native and other data formats.

SAS Data Mining:It stands for Statistical Analytics System.It is a product of SAS institute created for analytics and data management.It can mine data,change it,manage information from variuos sources,and analyze statistics.

It allows users to analyze big data and provide accurate insight for timely decision-making purposes.It has distributed memory processing architecture that is highly scalable.

DataMelt Data Mining:It is a computation and visualization environment which offers an iterative structure for data analysis and visualization.It is primarily designed for students,engineers and scientists.

It is a multi-platform utility written in JAVA.It can run any operating system which is compatible with JVM.

Rattle:It is a data mining tool based on GUI.It uses the R stats programming language.It exposes the statistical power of R by offering significant data mining features.

The data set produced by Rattle can be viewed and edited.It gives other facility to review the code,extend the code without any restriction.

Rapid Miner:It is one of the most popular predictive analysis systems created by the company with same name as Rapid Maner.It written in JAVA programming language.

The instrument can be used for a wide range of applications,including company applications,commercial applications,education,training,machine learning.


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