The Data Warehouse Toolkit By Ralph Kimball And Margy Ross

Learning Outcome 6.5: Define a data warehouse, and provide a few reasons it can make a manager more effective.

One of the main functions of any business is to be able to use data to leverage a strategic competitive advantage. The use of relational databases is a necessity for contemporary organizations; however, data warehousing has become a strategic priority due to the enormous amounts of data that must be analyzed along with the varying sources from which data comes. Company gathers data by using Web analytics and operational systems, we must design a solution overview that incorporates data warehousing. The executive team needs to be clear about what data warehousing can provide the company.

When I first looked at this book it was pretty self-explanatory what it was going to be about. Although it was self-explanatory I had not much idea on the areas it would cover. Many things looked familiar when going through the book and skimming through. The theme of this book has to do with how our world, in a business aspect, gathers information. It explains how we currently gather, sort through, process, and use data and information. This book explains it from all different processes and views. Companies use many different methods when it comes to gathering knowledge. This textbook breaks down these methods and explains which ones are the most commonly used and most important. Data is such an important role in businesses today, especially with how much things change over time. I think this textbook will really cover how things have and are changing along with really stressing how

What information is accessible? The data warehouse offers possibilities to define what’s offered through metadata, published information, and parameterized analytic applications. Is the data of high value? Data warehouse patrons assume reliability and value. The presentation area’s data must be correctly organized and harmless to consume. In terms of design, the presentation area would be planned for the luxury of its consumers. It must be planned based on the preferences articulated by the data warehouse diners, not the staging supervisors. Service is also serious in the data warehouse. Data must be transported, as ordered, promptly in a technique that is pleasing to the business handler or reporting/delivery application designer. Lastly, cost is a feature for the data

A data warehouse is a large databased organized for reporting. It preserves history, integrates data from multiple sources, and is typically not updated in real time. The key components of data warehousing is the ability to access data of the operational systems, data staging area, data presentation area, and data access tools (HIMSS, 2009). The goal of the data warehouse platform is to improve the decision-making for clinical, financial, and operational purposes.

The implementation of the data warehouse was based on Kimball’s (Kimball and Ross, 2013) dimensional modelling techniques which involved business requirements analysis & and determination of data realities and the four step dimensional modelling design process. These was followed by the design and

Many organizations want to implement an integrated enterprise warehouse that collects information about all subjects (e.g., customers, products, sales, assets, personnel) spanning the whole organization. However, building an enterprise warehouse is a long and complex process, requiring extensive business modeling, and may take many years to succeed. Some

Businesses today continue to strive and grow in the industry to keep up with the never ending changes in the business they need the tools to obtain information that can be used to make decisions for the business. The decisions to make in a business can consist of knowing what geographic region to focus on, which product lines to expand, and what markets to strengthen in the industry. To obtain the type of information that has the proper content and format that can assist with strategic decisions they turned to data warehousing. It became the new paradigm intended specifically for vital strategic information.

The data-collection and analysis company is expected to grow 60% over the next 18 months This will include increasing the Data Warehouse (DW) by 20% to store data for collected data beyond the standard relational databases. A Business Requirement Document is needed in order to know the expectations of the project. This includes defining the scope of the project and how to control the scope. The risks, constraints, and assumptions are identified and how they could affect the project. Information will be gathered for the relationship and integration between the systems and the infrastructure. During the project there may be a need for outsourcing tasks or using offshoring companies. Resources will be needed to in order to complete the project in a timely manner and relevant terms used throughout the project will be defined.

The Avalon data warehouse is a business solution that enhances Avalon with powerful database functionalities. These functionalities provide to Avalon users a practical way to view historic data, and by

Jonathan S. Einbinder, MD, MPH; Kenneth W. Scully, MS; Robert D. Pates, PhD; Jane R. Schubart, MBA, MS; Robert E. Reynolds, MD, DrPH

In Philip Russom’s webinar he provides an overview of what a Data Warehouse (DW) modernization is, why many users’ DWs need modernization. The top five most common reasons for DW modernization including: Advanced Analytics, Scale, Speed, Productivity and Cost Control, what is the result from modernization, and his recommendations

Data Warehousing also known in many industries as an Enterprise Data Warehouse is a system that contains a central repository of integrated data, often collected from multiple sources and is used to perform data analysis enabling the creation of detailed reports that contribute significantly to a corporation’s business intelligence. Data Warehousing emerged as a result of advances in the field of information systems over the last several decades. There are two major factors that drive the need for data warehousing in most organizations. First and foremost, businesses require an integrated, company-wide view of high-quality information to maintain and improve upon their strategic position. Secondly, information systems departments must separate information from operational systems to improve performance dramatically in managing company data. Critical to the success of a Data Warehousing system, Data mining allows for companies to create customer profiles, manipulate information easily, and provide knowledgeable access to the current state of their company. However, a reality that many companies often find out the hard way is that data mining and data warehousing does not work for them. As with many new tools or technology, companies may jump on the bandwagon without fully contemplating its potential weaknesses. In order to remain competitive in today’s business world, companies should consider implementing data warehouses, but only with

The data warehouse comes ready for use, but an organization has to get prepared to use it. The main factor is data warehouse usage. A data warehouse can be used for decision making for management staff.

Data warehouse are multiple databases that work together. In other words, data warehouse integrates data from other databases. This will provide a better understanding to the data. Its primary goal is not to just store data, but to enhance the business, in this case, higher education institute, a means to make decisions that can influence their success. This is accomplished, by the data warehouse providing architecture and tools which organizes and understands the