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Resources on Business Intelligence, Data Warehousing & Data Mining

 

  

 

 

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Analytics.in provides a comprehensive directory for web resources on business intelligence, data warehousing & data mining.

 

Resources available for the following areas:

 

  • Data Mining
  • Data Warehousing
  • Online Analytical Processing
  • MIS
  • Business Intelligence
  • Knowledge Management
  • Decision Support
  • Companies

 

 

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See also

 

Alog, the Analytics blog from Analytics.in

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Looking for inputs, intelligence & assistance for outsourcing analytics to India?

 

The World of Analytics with a Click of the Mouse – know all the happenings on analytics from news sites, blogs, message boards, citizen journalism sites, social bookmarking sites, video & picture databases, shopping sites, online groups and more…all these with just a click of the mouse! (see also for Business Intelligence)

 

 

 

 

 

Related Resources from eSource & Sourcing

 

 

 

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Some interesting & popular finance related web searches (click on the link next to the search term for search results from Google)

 

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Analytics

 

Related fields - Operations Research, Statistics and Probability

 

Statistical analysis and data mining

 

Enterprise decision management

 

Marketing analytics

 

Predictive science

 

Strategy science

 

Credit risk analysis

 

Fraud analytics

 

Business analytics - Portfolio Analysis

 

Predictive analytics - Encompasses a variety of techniques from statistics and data mining that process current and historical data in order to make “predictions” about future events. In business, the models often process historical and transactional data to identify the risk or opportunity associated with a specific customer or transaction. These analyses weigh the relationship between many data elements to isolate each customer’s risk or potential, which guides the action on that customer. Predictive analytics is widely used in making customer decisions. One of the most well-known applications is credit scoring, which is used throughout financial services. Scoring models process a customer’s credit history, loan application, customer data, etc., in order to rank-order individuals by their likelihood of making future credit payments on time. Predictive analytics are also used in insurance, telecommunications, retail, travel, healthcare, pharmaceuticals and other fields. (Source: Wikipedia article on Predictive analytics - http://en.wikipedia.org/wiki/Predictive_analytics )

1 Types of predictive analytics

1.1 Predictive models

1.2 Descriptive models

1.3 Decision models

2 Predictive analytics

2.1 Definition

2.2 Current uses

2.2.1 Analytical Customer Relationship Management (CRM)

2.2.2 Direct marketing

2.2.3 Cross-sell

2.2.4 Customer retention

2.2.5 Underwriting

2.2.6 Collection analytics

2.2.7 Fraud detection

2.2.8 Portfolio, product or economy level prediction

2.3 Statistical techniques

2.3.1 Regression Techniques

2.3.1.1 Linear Regression Model

2.3.2 Discrete choice models

2.3.2.1 Logistic regression

2.3.2.2 Multinomial logit regression

2.3.2.3 Probit regression

2.3.2.4 Logit vs. Probit

2.3.3 Time series models

2.3.4 Survival or duration analysis

2.3.5 Classification and regression trees

2.3.6 Multivariate regression splines

2.4 Machine learning techniques

2.4.1 Neural networks

2.4.2 Radial basis functions

2.4.3 Support vector machines

2.4.4 Naïve Bayes

2.4.5 k-nearest neighbours

Popular Predictive Analytics Tools

KnowledgeSEEKER or KXEN

SPSS

SAS modules such as STAT, ETS, OR etc.

SPLUS

STATA.

KnowledgeSTUDIO

Clementine

KXEN Analytic Framework

Excel Miner

Classification Tree analysis using CART software.

R

WEKA

RapidMiner (formerly YALE)

 

Data mining

Related terms to Data Mining

Knowledge discovery

Knowledge Discovery Metamodel (KDM)

Common Warehouse Metamodel

stepwise regression methods

[edit] Structured Data Mining

Concept mining

Database mining

Relational data mining

Database

Document warehouse

Data warehouse

Graph mining

Molecule mining

Sequence mining

Data stream mining

Learning from time-varying data streams under concept drift

Tree mining

Decision tree learning

Web mining

Software mining

Unstructured Data Mining - Text mining, Image mining

 

Machine learning

 

List of software engineering topics

 

Statistics

 

OLAP

Online Analytical Processing, or OLAP, is an approach to quickly providing answers to analytical queries that are multidimensional in nature. OLAP is part of the broader category business intelligence, which also includes Extract transform load (ETL), relational reporting and data mining. The typical applications of OLAP are in business reporting for sales, marketing, management reporting, business process management (BPM), budgeting and forecasting, financial reporting and similar areas. The term OLAP was created as a slight modification of the traditional database term OLTP (Online Transaction Processing).

1 Functionality

2 Aggregations

3 Types

3.1 Multidimensional

3.2 Relational

3.3 Hybrid

3.4 Comparison

3.5 Other types

4 APIs and query languages

5 Products

5.1 History

5.2 Market shares

6 See also

7 External links

Functionality

In the core of any OLAP system is a concept of an OLAP cube (also called a multidimensional cube or an hypercube).

Aggregations

Types

OLAP systems have been traditionally categorized using the following taxonomy

Other types

The following acronyms are also used sometimes, although they are not as widespread as the ones above:

WOLAP - Web-based OLAP

DOLAP - Desktop OLAP

RTOLAP - Real-Time OLAP

SOLAP - Spatial OLAP (see Location intelligence)

Products & Companies

Microsoft Corporation - 31.6%

Hyperion Solutions Corporation - 18.9%

Cognos - 12.9%

Business Objects - 7.3%

MicroStrategy - 7.3%

SAP AG - 5.8%

Cartesis SA - 3.7%

Applix - 3.6%

Infor - 3.5%

Oracle Corporation - 2.8%

 

Business intelligence

Business intelligence software and applications includes a range of tools. Some BI applications are used to analyze performance, projects, or internal operations, such as AQL - Associative Query Logic; Scorecarding; Business activity monitoring; Business Performance Management and Performance Measurement; Business Planning; Business Process Re-engineering; Competitive Analysis; User/End-user Query and Reporting;Enterprise Management systems; Executive Information Systems (EIS); Supply Chain Management/Demand Chain Management; and Finance and Budgeting tools.

 

Other BI applications are used to store and analyze data, such as Data mining (DM), Data Farming, and Data warehouses;Decision Support Systems (DSS) and Forecasting; Document warehouses and Document Management;Knowledge Management; Mapping, Information visualization, and Dashboarding; Management Information Systems (MIS);Geographic Information Systems (GIS); Trend Analysis; Software as a service (SaaS) Business Intelligence offerings (On Demand)- similar to traditional BI solutions but software is hosted for customers by a provider; Online analytical processing (OLAP) and multidimensional analysis; sometimes called "Analytics" (based on the "hypercube" or "cube"); Real time business intelligence; Statistics and Technical Data Analysis; Web Mining, Text mining and Systems intelligence. Other BI applications are used to analyze or manage the "human" side of businesses, such as Customer Relationship Management (CRM) and Marketing tools and Human Resources applications. Web Personalization For examples of implemented Business Intelligence systems, see the BI screenshot collection at The Dashboard Spy.

 

Web analytics

1 Web analytics technologies

1.1 Web server logfile analysis

1.2 Page tagging

 

Business analytics

Time Series Analysis

 

Other Analytics Categories

 

  • Analytics
  • Web Analytics
  • Google Analytics
  • Web Site Analytic
  • Analytic
  • Financial Analytic
  • Company
  • Business Analytic
  • Analytic in Modeling Operational Probability Risk Series Statistics
  • Process Analytic
  • Business Intelligence
  • Hierarchy Process
  • Marketing Analytics
  • Analytic Aspect Mathematical Mechanics
  • Webtraffic Analytic
  • Analyzing Engine Guide Optimizing Search
  • Analytic Chemistry Science
  • Analytic Software Web
  • Financial Guide Implementing Quantitative Technique Tool
  • Predictive Analytic
  • Siebel Analytic
  • Call Center

 

Analytics Web Resources

 

Some Finance & Law Resources @ Analytics.in

 

Finance

Mortgage > Mortgage Rates, Mortgage Rate Calculator, No Closing Cost Mortgage, Equity Mortgage, Mortgage Refinance, Mortgage Application, 15 Year Mortgage Rates, 2nd Mortgage Loans

Insurance > Vehicle Insurance, Boat Insurance, Auto Insurance, Car Insurance, Health Insurance, House Insurance, Life Insurance, Renter Insurance

Loans > Equity Loan, Property Loan, Loan Calculator

 

Law

Personal Injury Lawyer, Attorney

Asbestos Claims

 

 

BI

 

 

 

 

DWH

 

 

 


DSS

 

 

 

 

OLAP

 

 

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Pictures

 

A chart showing the various components of predictive analytics

A chart of analytics used for the healthcare industry

Components of the analytics framework

Customer Analytics – data to knowledge to wisdom

 

Application Integration

 

 

 

 

EAI

 

 

 

  • Associations & Organizations

 

 

  • ERP & Business Intelligence

 

 

 

  • EAI Products/Companies

 

 

 

  • Middleware

 

 

 

Knowledge Management

 

 

 

IT Strategy

 

 

 

Analytics & BI Companies

 

 

 

Some interesting IT, Software related questions from the Billion Dollar Site

 

 

 

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SAP Technology - SAP ABAP, SAP XI, SAP BW, SAP LSMW, SAP BAPI, SAP IDOC, SAP Workflow, SAP User Exits

 

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