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DBMS Management Vendors

What is the purpose of a Database Management Vendor

A Database Management Vendor provides software and services for creating, managing, and maintaining databases. They offer a wide range of products, such as relational database management systems (RDBMS), NoSQL databases, and cloud-based databases, to meet the needs of different types of organizations and businesses. The purpose of a Database Management Vendor is to help customers effectively store, organize, and retrieve data in a secure and efficient manner.

How is Business Intelligence used in Ecommerce

Business intelligence (BI) can be used in ecommerce in several ways to help companies make data-driven decisions and improve their online operations. Some examples include:
  1. Analyzing customer data: BI tools can be used to gather and analyze data on customer demographics, buying patterns, and website behavior. This can help ecommerce companies better understand their target market and improve their marketing and sales strategies.
  2. Optimizing website performance: BI can be used to monitor website traffic, conversion rates, and other metrics in real-time. This can help ecommerce companies identify and address issues that are affecting the performance of their website, such as slow load times or high bounce rates.
  3. Inventory management: BI can be used to track inventory levels, sales trends, and other data to help ecommerce companies optimize their stock levels and avoid stockouts or overstocking.
  4. Fraud detection: BI can be used to analyze data on customer transactions, looking for patterns or anomalies that may indicate fraudulent activity. This can help ecommerce companies protect themselves from financial losses due to fraud.
  5. Price optimization: BI can be used to analyze data on competitors prices, sales, and inventory levels to optimize pricing strategy.
BI can be used in ecommerce to gain insights from data and make better strategic decisions, improve customer experience and increase revenue.
Vendor Product Name(s) (if applicable) Subcategory
Ardent Software * *
Informatica * *
Sagent * *
Brio ONE Reporting
Business Objects BusinessObjects, Web Intelligence Reporting
Humminbird Analytic Frameworks, Genio Reporting
Hyperion Enterprise Performance Management Reporting
Oracle Strategic Enterprise Management Reporting
Progress Actuate, Corvu Reporting
SAS Institute SAS Systems Reporting
Seagate Analysis, Crystal Reports, Info, Holos Reporting

How is Data Warehousing used in Ecommerce

Data warehousing is a technique used to collect, store, and manage large amounts of data from multiple sources in a centralized location, which allows organizations to gain insights and make data-driven decisions. In ecommerce, data warehousing can be used in several ways:
  1. Online transaction processing: Data warehousing can be used to collect and store data on customer transactions, such as purchases and returns, in order to track sales trends, analyze customer behavior, and optimize inventory management.
  2. Customer relationship management: Data warehousing can be used to store and manage data on customer demographics, buying patterns, and website behavior. This can help ecommerce companies better understand their target market and improve their marketing and sales strategies.
  3. Website analytics: Data warehousing can be used to collect and store data on website traffic, conversion rates, and other metrics in order to monitor website performance, identify issues, and improve the customer experience.
  4. Supply chain management: Data warehousing can be used to store data on suppliers, inventory levels, and shipping and logistics information in order to optimize supply chain operations.
  5. Fraud detection: Data warehousing can be used to store and analyze data on customer transactions, looking for patterns or anomalies that may indicate fraudulent activity. This can help ecommerce companies protect themselves from financial losses due to fraud.
  6. In summary, Data warehousing allows ecommerce companies to collect and store data from multiple sources, and then analyze it to gain insights and make data-driven decisions that can improve customer experience, increase revenue and optimize operations.
Vendor Product Name(s) (if applicable) Subcategory
Hyperion Data Warehousing *

Database - Object

Vendor Product Name(s) (if applicable) Subcategory
Sybase Cloudscape, SE Embedded

Database - OLAP

Vendor Product Name(s) (if applicable) Subcategory
Cognos Enterprise OLAP Analytical
Hyperion Enterprise OLAP Analytical
Informix Red Brick Analytical
Microstrategy Intelligence Server Analytical
Sybase Red Brick Analytical

Database - Pre-relational

Vendor Product Name(s) (if applicable) Subcategory
IBM IMS Prerelational

Database - Relational

Vendor Product Name(s) (if applicable) Subcategory
Computer Associates Ingres Relational
IBM DB2 Relational
Informix Dynamic Server, Extended Parallel Relational
Oracle Oracle 8i, Oracle 8i RDB Relational
Progress RDBMS Relational
Software AG Adabas Relational
Sybase Adaptive Server Relational
Empress Software Database Management System Relational
(Embedded)

Please see the Resources section of the course to download a PDF file containing a complete list of all of the vendors and tools covered in this course, along with URLs to the vendor Websites.