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Business Intelligence History
Business Intelligence History When did Business Intelligence first come into play? Before the Information Age of the late 20th century companies had to collect their information from non-automated sources. Those were the days that businesses lacked any type of sophisticated computing resources to enable them to properly analyze data. Due to the lack of today’s flourishing technologies organizations in that age made vital business decisions based purely on instinct, this could very often prove to be a fatal means of making a decision that concerned the well-being or livelihood of an organization. The 1970s kicked off the beginning of the…Business Intelligence Overview
Business Intelligence Overview What is Business Intelligence? Business Intelligence at first glance is a broad array of applications or technologies designed for storing, gathering, analyzing, and processing information. These applications also provide access to data for professionals and help them make better business decisions. It is the ability of in depth analysis and data mining of detailed business data to provide real and significant information to users. The software allows users to access and review large amounts of complex data. Yet this is only Business technology on the technical side of the spectrum, in fact we also need to acknowledge…Business Intelligence Training
Business Intelligence Training In this training session you will learn about Business Intelligence – Business Intelligence Overview, Business Intelligence History, Business Intelligence Data Analysis, Business Intelligence Applications and more. Business Intelligence Business Intelligence Overview What is Business Intelligence? Business Intelligence at first glance is a broad array of applications or technologies designed for storing, gathering, analyzing, and … Business Intelligence History When did Business Intelligence first come into play? Before the Information Age of the late 20th century companies had to collect their information from non-automated sources. Those were the days that businesses lacked any type of sophisticated computing resources…Data Warehouses Non Technical Issues
Data Warehouses Non Technical Issues When companies get ready to implement a data warehouse, few of them pay attention to the political issues that may surround it. It must be emphasized that politics can reduce the chances for success with a data warehouse project, and I want to warn companies against these issues so they can be avoided. The definition of a data warehouse political scenario is when the goals of two parties within the company collide. In most cases, these conflicts will be closely related to the data warehouse project. While the conflict may seem petty at first, it…Connection between Data Model and Data Warehouse
Connection between Data Model and Data Warehouse Data models are required in order to build data warehouses. The problem is, those who develop data warehouses need to be able to show results at a fast pace. Data models are problematic in that they take a very long time to build. Is it possible, then to speed up the process somehow? The data that is in the data warehouse is the most atomic data that exists. The various data summaries and aggregations are external to the data warehouse, being found in such places as DSS applications, data marts, ODS, etc. These…Data Modeling Introduction
Data Modeling Introduction Data modeling refers to the process where by data is structured and organized. It is a key component in the field of computer science. Once data is structured, it is usually then implemented into what is called a database management system. The main idea behind these systems to manage vast amounts of both structured and unstructured data. Unstructured data include documents, word processing, e-mail messages, pictures, and digital video and audio files. Structured data, what is needed to make a data model (via a data model theory), is found in management systems like relational databases. A data…Data Modeling Overview
Data Modeling Overview Data modeling refers to the process whereby data is structured and organized. It is a key component in the field of computer science. Once data is structured, it is usually then implemented into what is called a database management system. The main idea behind these systems is to manage vast amounts of both structured and unstructured data. Unstructured data include documents, word processing, e-mail messages, pictures, and digital video and audio files. Structured data – what is needed to make a data model (via a data model theory) – is found in management systems like relational databases….Role of Data Modeling within Enterprise Management
Role of Data Modeling within Enterprise Management When it comes to the development, maintaining, augmentation, and integration of enterprise systems, data modeling is key. Over 90% of enterprise systems’ functionality is based on the creation, manipulation, and querying of data. When managing a major enterprise project, it is thus necessary to depend on data modeling in the successful execution of projects. Data modeling can be used to deliver dependable, cost effective systems. Project managers are responsible for numerous tasks, including planning, estimating, evaluating risks, managing resources, monitoring, managing deliveries, and more. Almost every one of those activities depends on the…Tips for Mastering Data Modeling
Tips for Mastering Data Modeling Data modeling refers to the process where by data is structured and organized. It is a key component in the field of computer science. Once data is structured, it is usually then implemented into what is called a database management system. The main idea behind these systems to manage vast amounts of structured and unstructured data. Unstructured data include documents, word processing, e-mail messages, pictures, and digital video and audio files. Structured data – what is needed to make a data model (via a data model theory) – is found in management systems like relational…Physical Data Models
Physical Data Models Physical data models represent the design of data while also taking into account both the constraints and facilities of a particular database management system. Generally, it is taken from a logical data model. Although it can also be engineered in reverse from a particular database implementation. All database artifacts that are needed to create relationships will be included on a physical data model. These include linking tables, indexes, constraint definitions, and partitioned clusters. The model can generally be used as a calculation device for figuring storage estimates. Storage allocation details for a particular system might be included….Entity Relationship Model
Entity Relationship Model Structured data is stored in databases. Along with various other constraints, this data’s structure can be designed using entity relationship modeling, with the end result being an entity relationship diagram. Data modeling entails the usage of a notation for the representation of data models. An entity relationship diagram can be thought of as a type of semantic data model, or a conceptual one. Entity relationship models are used during the first stage of information system design in order to elucidate types of info that are needed to be stored in the database during the phase of requirements…Data Warehouse Glossary
Data Warehouse Glossary Because of the complexity surrounding data warehouses, there are a number of terms that you will want to become familiar with. While there are too many terms to present in this article, I will go over the fundamental terms that you should know. Understanding the terminology surrounding a data warehouse will make it easier for you to learn how to use it effectively, and it will make communication with your peers easier. Access – Access can be defined as the process of obtaining data from the databases that exist within the data warehouse. It is a fundamental…How To Evaluate The Software For your Data Warehouse
How To Evaluate The Software For your Data Warehouse When a company evaluates software to use in conjunction with their data warehouse, they goal should be purchase software which falls under the best of breed category. The first step in successfully evaluating software for your data warehouse is to do the analysis yourself. You should never rely on someone who is not a part of your organization.. Every technology that you come across will need to be evaluated carefully in order to be of great benefit to you and your organization. You have a greater knowledge of the needs of…Understanding The Challenges of Using Data Warehouses
Understanding The Challenges of Using Data Warehouses While data warehouses can be greatly beneficial to the companies that use them, there are many challenges that a company will face in their implementation and utilization. Some experts have even said that data warehouses are one of most overrated tools in the computer industry. Many companies decide to use data warehouses beause they simple think that it is the "next big thing," and they don’t take the time to think about the requirements they will need to meet in order to use this tools. Being able to afford a data warehouse is…Understanding Quality Management For Data Warehouses
Understanding Quality Management For Data Warehouses Quality is an important concept when it comes to data warehouses, as well as their environment. Quality should not be defined in terms of data, even though having quality data is important. When I talk about quality in this article, I’m talking about the big picture. I’am referring to the success rate of the data warehouse in conjunction with its ability to help the company achieve its goals. In addition to this, it is also important for companies to learn when quality needs to be emphasized before the actual data warehouse is built. A…Creating an Efficient Process for Data Warehouses
Creating an Efficient Process for Data Warehouses Since data warehouses were first introduced during the 1990s, a large number of companies have failed when attempting to implement and use them. Many of these failures are not a result of the data warehouse itself, but rather the policies and the processes that the company used when trying to implement and utilize it. It could be said that the early years of data warehousing was filled with trial and error. Today, a number of approaches have been devised which make using the data warehouse much easier and efficient. One approach is called…How Does a Data Warehouse Differ From a Database
How Does a Data Warehouse Differ From a Database There are a number of fundamental differences which separate a data warehouse from a database. The biggest difference between the two is that most databases place an emphasis on a single application, and this application will generally be one that is based on transactions. If the data is analyzed, it will be done within a single domain, but multiple domains are not uncommon. Some of the separate units that may be comprised within a database include payroll or inventory. Each system will place an emphasis on one subject, and it will…How Data Is Stored Within a Data Warehouse
How Data Is Stored Within a Data Warehouse The data that is stored in the data warehouse is just as important as the data warehouse itself. Having a fundamental understanding of how this data is stored can be useful in the successful implementation and utilization of a data warehouse. One term that you will want to become familiar with is OLTP, or online transaction processing systems. The OLTP uses the field of data modeling to utilize the Codd laws of normalizing data in order to create a high level of integrity with the data. By using the Cood rules, elaborate…How To Rate Your Data Warehouse
How To Rate Your Data Warehouse Data warehouses have greatly evolved over the last 10 years. They now have their own transaction systems as well as their own design structures. The dimensional design has become the most prominent method of construction for data warehouses in the 21st century. Despite this, it is important for companies to take the time to rate their data warehouses. By doing this, the company will have a good idea of the efficiency of their systems. One of the first things a company will want to pay attention to is the ETL, which stands for extract,…What You Should Know About Building a Data Warehouse
What You Should Know About Building a Data Warehouse As we move further into the Information Age, the global competition among companies has become more fierce, and many of them are relying more on data warehouses to help them make critical decisions. Before a company can use a data warehouse to achieve their own goals, they must first understand how it is built. Some of the greatest challenges involving a data warehouse will be seen when it is implemented by the company for the first time. The quality of the data within the warehouse is very important. It must be…
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