Essays on Data Warehousing

Business Intelligence and Analytics in Higher Education Institutions

Business Intelligence and Analytics

Business Intelligence and Analytics refers to the process of collecting and analyzing data from internal and external systems to produce actionable information to help in making decisions. The process of business intelligence and analytics is driven by information technology and in modern business; there are countless software for this purpose. The users of the simplified actionable information could be management or the people in operations. The current economy is information-driven; producing what has come to be known as the knowledge economy. Modern business is generally driven by having the right information at the right time ...

Data Warehousing

The field of information system has evolved at a rapid pace because of which data warehousing has emerged. The main function of data warehousing is analysis and dealing with a query. It is a time-variant, subject oriented, integrated, and un-updatable collection of a company’s data. It is mainly used for the decision-making process, management, and business intelligence. The data warehouse of the company is the place where its data can be stored physically. Some of the components of the data warehouse are software, interactive, and directory. Software is an important element where the original data is stored. It ...

Introduction

The Alfa Bank is a medium sized bank, which has branches in Russia, Ukraine, Belorussia, Nederland, and Kazakhstan. The bank is a universal financial institute and provides all types of financial services to individuals, small and medium-sized businesses. Now the bank already has developed hardware and software infrastructure. The operating system for workstations as well as for servers is Windows. It uses Colvir software as ABS, Compass as card system, CRM (customer relationships management) software and different kinds of distance banking solutions for more efficient customer service.

Problem description

For years of bank operating a huge data amounts were collected (hundreds ...

Management Support System

The data and information loads are monitored and controlled Normally, large amounts of historic data are utilized Data are usually standardized to make it simple and maximize performance Planned and unplanned queries are common in data warehouse Describe the data warehouse process. The warehouse process involve the processes of reporting and data analysis for decision-making. It is usually design for the purpose of inquiring and analyzing. The process involve various stages, which integrate ETL (Extract, Transform, and Load) process. These stages are access to data, data modeling, acquisition of data, cleaning and validation of data, data matching and data ...

Abstract

This study analyzes the benefits and challenges of implementing an electronic medical system in both hospital and clinic environments. The overall research problem addressed in this study is determining how to effectively manage and communicate expectations associated with perceived benefits and challenges derived from a new install of an electronic medical record. The purpose of this study is to analyze perceptions associated with both the benefits and challenges derived from installing an electronic medical record system. This problem is relevant to many such as those who ...

Data gathering is a significant process that is fundamental to the process of developing information systems. With the fact that there are different information systems that are in use, the ways and methodologies that are used in gathering the data is also seen to be different. Data gathering process for a data warehouse is different from data gathering for operational systems. The difference is that the data gathering for operational is done is such a manner that there is support for transaction processing (Peña-Siles, del Mar González-Zamora, & Machuca, 2012). The data that involves the transactions that are being undertaken are ...

ADT is a data collection and analysis company that provides subscription software tools to its customers. The main functions of ADT is to assist its clients in decision-making. It uses the large and consumer related data such as consumer profiles and purchase patterns etc. ADT provides an option to the clients to log into the portal where software for organizing the huge data according to their requirements. The clients can subscribe to the services of ADT by paying for usage time or annual fee basis.

The current information in the database of ADT is raw information. It is stored ...

Background of the project

This project came into existence because of the need of having a system that will enable the company handle large amount of data. It is a data collection and analysis company hence its core business is to handle massive data from the clients. Currently, the company uses standard databases. They are not meeting the demand on the market. Just only in two years, the company has realized huge growth and expansion. Through this, it is projected that it will grow by 20% in terms of data storage needs and requirements. After rigorous process of search for the data of different ...

Discuss how the data resource management methods of today will need to evolve as more types of data emerge

The need for data integrity continues to become a critical issue. Most of information such as client details or employee details being stored in databases that can be accessed through a network. Data resource management methods that do not provide the best security measures may result in losses for organizations implementing such methods. Additionally, data resource management methods are designed to handle a specified amount of data. The increase and enlargement of organizations requires them to apply methods that will reduce any incidences of inefficiencies while ensuring the data quality is maintained.

Why the role of a data steward is considered innovative?

A data steward ensures that an organization uses the latest ...

Business

The term Business Intelligence (BI) has been defined as an umbrella term that includes applications, infrastructure and tools and best practices that makes it possible to provide access and analysis of data or information to enhance and optimize decisions and performance of any business company (Gartner, Inc., 2014). It also refers to the ability of an enterprise to act effectively by using human and information resources. According to Soilen & Hasslinger, (2012), Business Intelligence (BI) refers to the set of technologies and processes which enable the people at all levels of an organization to gain access and analyze data. ...

Thesis statement: Data warehousing is critical in the socio-economic success of businesses in the world today by means of providing an important platform for both social and economic interactions that proceed with the greatest regard to competitiveness and relevance since markets continue to grow more unfavorable to irrelevant businesses. It plays a central role in ensuring the existence and competitiveness of an organization remains intact as efficiency and reliability of data processing are upheld. Organizations have to adopt data warehousing if at all they need to remain relevant in the current super competitive markets.

Summary

A data warehouse, also known as ...

Introduction

Getting an edgy and upper hand is essential for an organization as far as their core productivity and efficiency is concerned (Bagchi and Atluri, 2006). Those organizations which are able to compete with other organizations have to cover numerous aspects accordingly, and all of the aspects would be essential for their economic and strategic growth (Banchs, 2010). Data Warehousing has now emerged as important elements that lead to give financial and strategic effectiveness to an organization. Organizations which are striding in this ambit are using the Data Warehousing Techniques for their future effectiveness, and among those organizations which ...

Business Intelligence and enterprise data mining management

A data warehouse is a kind of database designed to enable business intelligence solutions. Data warehouses are used to understand and enhance a performance. The warehouse is designed to query and analyze instead of merely conducting transaction processing. Historical data may be derived from transaction data but can include data from other locations. Data warehouse separates analysis workload from transaction workload, giving the organization the ability to maintain historical records and analyze the data to gain better understanding of the business and improve its practices. The environment in a data warehouse includes extraction, transportation, transformation and loading – referred as the ETL solution, ...

Business Intelligence and Data Warehouses

The differences between the structure of data warehouse optimized for processing versus relational database optimized for online transactions and summarizing large amounts of data include the following. Data warehouses use partially denormalized schemas so as to optimize performance, but relational databases have fully normalized schemas used to insert, update and guaranteeing data consistency. Data warehouse is updated regularly using techniques like bulk data modification, but relational database is modified by the end user. It is always up-to date and so it reflects the current state of every transaction. A data warehouse query scans millions of rows, for example, finding ...

1. In the current case, there are a number of items that currently are running under various databases. Moreover, all these items and information are sought under the one single corporate-wide critical sales perspective and this is intended to give a clear opinion or status about the best-selling products in terms of key clients, trends in sales in various geographies among others. There are a myriad range of issues that are faced by the organization currently as the current data base problems might create a burdensome situation to evaluate the items in a comprehensive manner as it encompasses a wide variety of things like Product ...

Introduction and definition of data warehouse

Data warehousing is a technological database that is relationally designed for the query, as well as analysis function. It incorporates data stores and logical, conceptual, as well as physical models that support business objectives and end-user information needs. Ideally, it also comprises of historical data that is derived from myriad sources including transactional data. One of the most advantageous primary functions of this warehouse is separation of analysis of workload from transactions. This enables any organization in question to consolidate the data acquired from different sources (Inmon 63). The creation of a data warehouse necessitates mapping data between targets and sources. ...

Introduction

The term “warehousing” can be understood in English as “a storehouse for depositing goods and merchandise”. Suppose that the goods and merchandise are nothing but our good old data – sales reports, statistics, and business transactions – this will constitute a “data warehouse”. The concept of data warehousing states that data from older system is copied into a new system dedicated entirely for analyzing data. Data warehouse will store a substantial amount of historical data. Users of this system are able to continuously ask or query it to retrieve data for analysis. Many organizations have adopted this concept to informed decisions faster through the historical ...

Introduction

The Brooklyn Shop is needs a requirement specification document for their e-commerce website. The document will covers all aspect which will solve the problems identified. The document will focus on the key issues and should also comply with the international standards of developing e-commerce system. The requirement specification will particularly focus on functional, non-functional and other system requirements that are relevant to Brooklyn Shop business. The document gives a detailed description of functional and non-functional requirement for Brooklyn Shop’s integrated web-based system’s which will be implemented in a forth night. This document is to act as a basis of collecting ...

Data warehouse is a concept that is being widely adopted in large and fasted growing business. The use of warehousing will grow with time and expansion at this moment is very important to our company. The data collection process is projected to grow by 20%. This means that our organization is going to grow further and there is need for data warehouse. Decision making has become a challenge when it comes to time. It is critical that decisions are made immediately for an organization to be ahead of its competitors. This is only possible when the relevant data is available to ...

The scope of the project

The project focuses on a data collection and analytics company that uses web analytics together with its information technology systems to conduct both business and marketing research. The company has been operating for 2 years now. The following are various business requirements for the company that wishes to attain a 60% growth within the next 16 months. In order to achieve this, the company seeks to create a repository for collected data beyond standard relational databases. The company is in a process of acquiring a 10-terabyte data warehouse that is expected to grow at a rate of 20% per annum. The discussion below will focus ...

Businesses tend to utilize data at their disposal to influence the strategic competitive edge. This calls for database systems that transform raw data into meaningful information. Many organizations employ the use of relational databases in spite of enormous volumes and sources of data to be analyzed. Acting in the capacity of a CIO of Celtic Analytics Ltd, I intend to come up with a database that collects data by use of the following mechanism; - Web Analytics - Operational analysis. Data warehousing is a process of storing the entire company’s data in a big repository meant to provide seamless ...

Star schema (simple)

“Star” schema is actually the simplest architecture within data warehousing. This architecture is termed as star because of the diagram that looks like a star. In the center of this diagram, there is a “fact” table that links to the “dimension” tables. Star schema is the most common data warehousing schema that is used. Oracle recommends it to be used. Star schema is a widely supported business intelligence tool. This architecture is very useful since you can create some useful queries and in addition it is very easy to do since not many tables need to be joined (Wang 2006). Another advantage ...

Introduction 2

Design process 3 Design best practices 3 Business support schema 5 Entity Relationship 5

Reference 9

Introduction Businesses tend to utilize data at their disposal to influence the strategic competitive edge. This calls for database systems that transform raw data into meaningful information. Many organizations employ the use of relational databases in spite of enormous volumes and sources of data to be analyzed. Acting in the capacity of a CIO of Terabyte Ltd, I intend to come up with a database that collects data by use of the following mechanism (Stephens, 2010); Web Analytics Operational analysis. ...

1. Why FAC's CRM Is Different From Other Companies' CRMS? AT FAC, the data warehouse (VISION), was created first and then this warehouse was used to populate its data mart. This is different from other companies where data marts for various departments are used to populate an enterprise-wide data warehouse. 2. What Is 'VISION'? In Your Own Words, Summarize the VISION Characteristics Vision is a data warehouse that offers information on client buying preferences (such as attitudes), customer value positions while maintaining the general trends in customer behavior. VISION is a database structure that is extremely crucial and ...

Data Mining

Industry Evaluation

Some of the major players in the industry are search engines like Google and Yahoo, which have the capabilities of gathering data about the people who surf the Web and of providing various levels of detail for the specific information that users search for (Story, 2008).

IBM and Oracle are also two of the other major companies in the data mining industry. IBM provides a wide range of analytic and data warehousing solutions that enable the best approach for every organizational situation – from traditional multi-dimensional data mining capabilities to mashups and industry models (IBM, n.d.). Oracle, on the ...

Abstract

The MDCM (B), ITPM case tries to examine the overall and most significant steps that must be employed in order to develop an IT projects’ portfolio in line with corporate strategies. The case examines a case whereby MDCM has laid down its change strategies but still to develop a suitable IT strategy. IT projects are evaluated by aid of a scorecard that will be considered in establishing a Portfolio Application Model Matrix. Comparison of projects will be done basing on the model (PAMM).

Introduction

MDCM, a US-Based organization is a giant specialist in contracting manufacture and assembly of medical devices. Five years down the line, ...

Individuals refer to it as business performance management whereas others prefer calling it enterprise performance management or corporate performance management. The terms used are not as important as the meaning attached to the very entity. It basically refers to a framework of management aspects and analytical processes that enables the efficient and effective management of an organization’s performance (Devi, 2005, p.44). Achievement of certain set goals and missions is enhanced and enabled by the application of this vital aspect. Corporate performance management relatively relates to the ideas of enhancing the management styles of a given business entity. There is involvement ...