The Availability Of New Information Management And Supporting System Like Data Warehousing, Business Intelligence, Analytics, And

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.

Business Intelligence (BI) is the consolidation and analysis of internal data and / or external data for the purpose of effective decision-making. At the core of all BI initiatives is a data warehouse to hold the data and analytics software. The data warehouse stores data from operational systems in the organization and restructures it to enable queries and models to extract decision support reports.

As we discuss the possibility of emerging into business intelligence software we must keep in mind the overall purpose of using any type of software is to reach strategic goals in order to increase market shares. I will discuss how business intelligence software will allow us to meet those strategic goals. We will establish what type of information and analysis capabilities will be available once this business intelligence software is implemented. We will discuss hardware and system software that will be required to run specific business intelligence software. Lastly, I will give a brief synopsis on three vendors (IBM, Microsoft Microsoft and Oracle) that are dominating the business information software industry today.

A data warehousing is defined as a collection of data designed to support management decision making. Data warehouses contains a wide variety of data that present a coherent picture of the business conditions at a single point in time. Development of a data warehouse includes development of the systems that extract data from operating systems plus the installation of the warehouse database system that provides managers flexible access to the data. The term data warehousing generally refer to the combination of many different databases across an entire enterprise. (webopidia)

We cannot all help but notice the steady decline in our market share for the past consecutive 11 quarters. Annual revenue has shrunk by 40% since we last saw a sales growth. Despite all the cost cutting measures that we have implemented we still continue to see a steep decline in sales. To make matters worse we do not know why, we do not know how and do not have any insight on what the competition is doing and how they are doing it. I’m proposing that we adopt a business intelligence system. This will allow us to see the state of our overall processes, and pinpoint areas of improvement or elimination. In short, business intelligence will allow us to better analyze the organization’s plans and results. I will provide us with insight into what is working correctly at the same time identifying potential problem areas

Businesses have collected data for many years. Most of the data they collect has been for historical purposes, such as how much of an item has sold and what are the profits gained from those sales. Business intelligence allows one to take that data, manipulate as you see fit and generate reports. The data then has to be extracted and trends analyzed so that businesses can find more opportunities and new customer segments. This is known as business analytics. However that may sound simple, there are current business and technology conditions

Business intelligence (BI) is defined as the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI has been around long before computers and access to the internet. For example, an old ship building yard would have to keep track of its various transactions, employees, profit, suppliers, materials, etc. The shipyard owner would then turn this collected raw data into useful information in order to figure out where the company is going wrong and where it can improve. If the suppliers have not shipped on time for weeks the shipyard would know to find more reliable suppliers - this is a very simple example of utilizing business intelligence. In

The field of business analytics has improved significantly because users are generating more data and the process of analysing this data has been enhanced too. Nowadays a data analyst can analyse large amounts of fast moving data from different sources and gain insights that were never possible to

According to Silva (2005), in order to gain competitive advantage, information is by far the most important key to accomplish it. The essential information for making decision-making is on its operational database, where we have to derive insight and analyzing these data out, called Data Warehousing (DW). DW enables managements to access the critical information they would like to know, which along with making business decisions and establishing business strategy. However, DW technology takes a lot of time to develop as well as is high-priced. In

In the enterprise world, business intelligence has become a common necessity in every organization whether big or small. According to Shollo and Kautz (2010, p. 1), business intelligence is defined as ‘a process, a product, and as a set of technologies, or a combination of these’. Input from a wide range of corporate stakeholders is essential to implement an effective corporate business intelligence strategy. The purpose of a corporate business intelligence strategy is to aid business with planning in a long run, to aid middle management with tactical reporting, and help operations with daily decision making to efficiently run a business (Pant 2009). A stakeholder is anybody who has an interest in a particular decision which includes people who influence a decision, or could influence it, as well as those affected by it. Contribution of corporate stakeholders in corporate business intelligence strategy will result in the strategy to be successful as well as yield more positive stakeholders.

In today’s competitive world every company is trying to be better than its rivals. The traditional ways of enhancing business decisions for marketing, advertising, launching new ventures or products are long gone which included important decisions being taken by top-level managers based on their intuition and instincts. Present times need a drift from those traditional days and this is where Business Analytics comes in wherein managers can make better decisions, so rather than going with their gut when pricing products, maintaining inventory, or hiring talent, managers would use data, analysis, and systematic reasoning to make decisions that improve efficiency, risk-management, and profits. With massive development that has gone into the technology enormous amount of data is being generated as data is not restricted to files, pdf anymore, but GPS

Increasing standards, automation, and technologies have led to vast amounts of data becoming available. Data warehouse technologies have allowed the building of repositories to store this data. Improved ETL and enterprise application integration tools have increased the timely collecting of data. OLAP reporting technologies have allowed faster generation of new reports which analyze the data. As of 2010[update], business intelligence has become the art of sieving through large amounts of data, extracting useful information and turning that information into actionable knowledge.[citation needed]

A Data Warehouse is simply a consolidation of data from a variety of sources that is designed to support strategic and tactical decision making. In other words, a data warehouse consist of different data sources provides access to the data that will expand frequency and depth of data analysis. Due to these reasons, data warehouse is the foundation for business intelligence. Its main purpose is to provide a coherent picture of the business at a point in time. Using various Data Warehousing toolsets, users are able to run online queries and 'mine" their data. Companies that build data warehouses and use business intelligence for decision-making ultimately save money and increase profit. Moreover, many successful companies have invested large sums of money in business intelligence and data warehousing tools and technologies. They believe that up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their very survival.

ABC Industries is a diversified global organization that provides a variety of services, such as financial, technical, and manufacturing of products across the globe. Its facilities are located in Europe, Asia, and the United States with revenue of $35 billion. The company has suffered problems with its retrieving qualitative data from one source. Recommendations are to utilize a data warehouse to retrieve the data to strategize analysis, root cause of issues, and Data warehouse is one of the most important components in a Business Intelligence (BI) architecture. Inmon (2005) defines data warehouse as “a subject-oriented, integrated, time-variant, and non-volatile collection of data in support of management’s decision making process” (p. 29). According to Hoffer et al., 2007; Inmon, 2005 characterizes a data warehouse is a

Business Intelligence: is the term used to refer to a number of activities that a company may undertake to gather information about their market and competitors. Some of the criteria include: competitive analysis, market analysis and industry analysis.