A Guide for Newbies to Business Intelligence Solutions

Current Market Conditions for Business Intelligence Tools

The ongoing interest in Business Intelligence applications has prompted big enterprises, offshore software development centers, and bespoke software development firms to concentrate on building various Business Intelligence Tools suited to every industry. Due to the volatility of global markets, the usage of Business Intelligence technologies in critical sectors such as aircraft, iron, and steel has expanded in recent years. Numerous paid, freeware, open source, and proprietary software, in addition to the Microsoft Business Intelligence software, are now available and are often modified by a custom software developer to meet the needs of a particular customer. This section discusses some of the various kinds of Business Intelligence Tools, which represent just a subset of the business intelligence reporting tools often used by enterprises.

Data Mining

Data mining aims to uncover patterns in big data sets by combining important concepts from statistics and computer science. The currently applied data mining approach combines database systems, statistics, machine learning, and artificial intelligence to provide managers, decision-makers, and data analysts with actionable insight. In addition to analyzing the available raw data, the data mining method also performs online updating, visualization, found structure post-processing, complexity considerations, interest-determining metrics, and data management.

Unlike information processing or large-scale data analysis, data mining is founded on “discovery” or the identification of something new. As data mining involves vast data sets, various automated and semi-automatic methods are available to complete the work. Any software development business that creates data mining apps focuses on the following tasks: anomaly detection, association rule learning, clustering, classification, regression, and summarization. Current corporate uses include data mining in applications connected to customer relationship management, the discovery of client purchasing patterns by the marketing department, and much more.

Extra-Data Technologies, Clarabridge, Versium Analytics, and Polygraph Media are among the most prominent providers of data mining solutions for use in business intelligence reporting.

Data Repository

Data Warehousing refers, in the simplest sense, to any database used for reporting and analyzing corporate data. Typically, the HR, Marketing, Sales, Customer Support, Warehousing, and Administration departments and the rest of the business provide data to an enterprise.

In certain instances, the raw data may be subjected to a small amount of pre-processing before being utilized for reporting in a Data Warehouse. Traditional data warehouses (warehouses working on the extract-transform-load method) divide the staging, integration, and access layers to house the core tasks. The staging area contains all unprocessed data collected from enterprise-wide sources. The integration layer transforms the raw data stored in the staging area into a form appropriate for analysis and stores it in the data warehouse’s database.

The data in the data warehouse database is organized into hierarchical groupings that the user may access through the access layer. Typically, each data warehouse is segmented into data marts, which hold subsets of the data warehouse’s integrated data. Thus, the primary purpose of a data warehouse is to store data in a manner appropriate for analysis by the user using methods such as OLAP and data mining.

An organization’s first data warehouses were offline operational data warehouses. In these warehouses, data from operating systems were regularly (fortnightly, weekly, or monthly) updated and stored in a report-oriented fashion. In the subsequent phase of data warehouse development, offline data warehouses emerged. In offline data warehouses, the data was frequently updated from operational systems, and the data structure was intended to facilitate the reporting process.

Later, offline data warehouses developed into online integrated data warehouses, which record every transaction on the source data and update the data in the warehouse in real-time. The further expansion of data warehouses has led to the integrated data warehouse, aggregating the data from the many corporate departments to offer users real-time access to actionable insight from the whole business. Accenture, IBM, Igate, and Infobright are prominent providers of data warehouse solutions.

Decision Technology

Decision Engineering is a framework that unites critical methods in corporate decision-making to enhance decision-making by giving an organized approach. The decision engineering method is intended to solve difficulties caused by the decision-making process “complexity ceiling.” This “intricacy ceiling” is often the consequence of a mismatch between the complexity of a given scenario and the sophistication of the decision-making technique in use. Decision engineering is a framework that provides non-enterprise users with sophisticated analytic methodologies while incorporating machine learning and inductive reasoning approaches to simplify the corporate decision-making process. Enterprise usage of Decision Engineering as a business intelligence tool is still in its infancy. Additional improvement is necessary before decision engineering becomes a viable reporting tool for business information.

Querying and Reporting Software

Following the submission of user queries, reporting and querying software are intended to give users access to the data contained in business databases. These solutions are designed to provide available data sets with a logical structure to facilitate enterprise-wide data accessibility and accelerate the decision-support process inside an organization. Applications development businesses all around the globe are now creating a variety of open source business intelligence tools and commercial business intelligence reporting software. mPower, Zoho Reports, Cognos BI, GNU Enterprise, and JasperReports are some of the best reporting and querying solutions. Numerous offshore software development businesses in the United States also provide customized versions of reporting and querying tools to facilitate enterprise-wide decision-making.


Is an interactive computer application that permits the analysis of accessible information via a tabular format, which evolved from the usage of paper-based accounting spreadsheets. On a spreadsheet, users may change the numbers in each cell. Spreadsheets have replaced mainly paper-based accounting systems in the financial industry. The digital spreadsheets enable users to automatically compute numbers after making as-needed updates to the given data. In addition to the support for ordinary arithmetic calculations, the available spreadsheets also provide support for various statistical and financial functions. Spreadsheets are perhaps the most popular and accessible business intelligence tool among different commercial and open-source options. Visicalc was the first spreadsheet released for a microcomputer, although Lotus 1-2-3 eventually surpassed it. Microsoft Excel, which is included in the Microsoft Office Suite, is the most popular spreadsheet application employed by businesses worldwide.

10Pearls is an offshore software development business headquartered in Washington, D.C that offers software solutions, including Web Enabled Solutions, Business Intelligence Consultants & Solutions, Custom Software Development, and Mobile Solutions, among others.

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