Business Intelligence and Technology

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

The main advantage of using EDI to capture and process business events is that there a significant reduction in the need for interaction between purchasers and agents, coupled with the standard implementation of Online Transaction Entry (OLTE). OLTE eliminates the redundancy between source document capture of business event data and subsequent keying in of the source document. With Electronic Data Interchange (EDI), it allows direct processing of those documents. EDI has been the forerunner to significant technology innovations for businesses.

Extraction, Transformation, and Loading processes are responsible for the operations taking place in the back stage of a data warehouse architecture. In a broader aspect, initially the data is extracted from the source data stores which could be On-Line Transaction Processing or Legacy system, files of any formats, web pages or any other documents like spreadsheets or text documents. In this step, only the data which is different from the previous execution of ETL process (newly inserted, updated) gets extracted from the sources. Next, the extracted data is sent to Data Staging Area where the data is transformed and cleaned. Finally, the data is loaded to the central data warehouse and all its counterparts e.g., data marts and views. (Kabiri & Chiadmi 2013, p.1)

Business Intelligence projects start out as a simple report or request for an extract of data. Once the base data is aggregated then the next request usually is about summing data or creating more reports that have different views to the data sets. Before long complex logic comes into play and the metrics coming out of the system are very important to many corporate wide citizens. "Centrally managed business rules enable BI projects to draw from the business know-how of a company and to work with consistent sets of business logic – they are what add the intelligence to business intelligence."(pg14)

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

Associations have begun considering and are putting an offer of their assets in the execution of Enterprise Resource Planning (ERP) and Business Intelligence (BI) into the business. In today 's worldwide focused, considering the connection of complex BI and ERP, these frameworks have ended up key vital instruments, which straightforwardly affect and are considered as execution markers of the accomplishment of any task with which a ton of consideration is to be given for the combination of Business Intelligence and Enterprise Resource Planning With a wide mixture of differing qualities and discontinuity for the mix of ERP and BI into the business, I endeavor to audit and assess a portion of the practices which influence the business

Author will explore from Microsoft, Informatica and Oracle websites for more enhancements of the features. Spending quality time for this session will help author to make flawless comparison on ETL tool.

Today there is a new data management challenge that is an effective method for integrating enterprise applications. To learn from history and predict the future, plenty of companies are using Business Intelligence (BI) systems. Corporations have understood the significance of intensifying achievements of the objectives defined by their business strategies through business intelligence ideas.

How much will organizations spend on business intelligence (BI) in 2016? According to Gartner, organizations are projected to spend almost $16.9 billion in 2016. That is an increase of 5.2% over 2015 sales . Business Intelligence plays a big role in today’s business, it now used in every part of the organization from supply chain to human resources (www.gartner.com). This paper will compare two business intelligence software tools. First, I will define business intelligence (BI). Then, I will examine the features of each of the BI tools. Next, I will discuss the pros and cons of each software. This paper will focus on the capabilities and costs for each BI software. Lastly, this paper will indicates which choice was made and an explanation of that choice.

Microsoft® offers BI built around the already widely used Microsoft Office® suite. The primary BI component is Excel

Business intelligence can provide companies with accurate data that can be analyzed to support business strategy therefore enabling companies to better predict effectiveness of their business goals and ultimately result in a business profit. “Business intelligence is already in use in many organizations today, by finance departments to analyze financial performance, sales and marketing to identify customer trends, and operations to enhance the efficiency of supply chains. Using real data helps them answer who, what, where, why and when of related performance” (Rylander,2009).

Enterprise Data Warehouses (EDW) have become the foundation of many enterprises' systems of record, serving as the catalyst of strategic initiatives encompassing Customer Relationship Management (CRM), Supply Chain Management SCM) and the pervasive adoption of analytics and Business Intelligence (BI) throughout enterprises. The role of databases continues to be an ancillary one, supporting the overall structural and data integrity of the EDW and increasing its value to the overall enterprise (Phillips, 1997). The advances made over the last decade in the areas of Extra, Transact & Load (ETL) have made it possible to create EDW frameworks and platforms more efficiently, creating greater accuracy in overall database and data warehouse performance as a result (Ballou, Tayi, 1999). The creation and use of an EDW to further drive an organization to its objectives requires that the differences between databases and data warehouses be defined, in addition to a clear, concise definition of just what data warehouse technologies are. Finally, the relationship between data warehouses and business intelligence (BI) including analytics needs analysis and validation. Each of these three areas are discussed in this analysis.

In the present day business world, an organization needs great analyzing and decision-making capabilities to achieve the challenges. Business Intelligence (BI) offers approaches to improvise business decision making by consuming fact-based support systems (Lim et al., 2012). SAP BI offers BusinessObjects, which provides tools those are helpful in easy discovering and sharing acumens for enriched business decisions (SAP1, 2011). SAP BusinessObjects is an enterprise software company, specializing in BI and produced tools such as BusinessObjects XI, Dashboards, Crystal Reports (Wikipedia1, 2014). SAP also offers BusinessObjects BI suite which primarily consists of three functional use cases: Discovery and Analysis, Reporting, and Dashboards and applications (SAP2, 2014). SAP Analysis tool, edition for OLAP is one of the analysis tools, to run advanced multidimensional analysis of OLAP sources which helps in answering analytical questions straightaway (SAP3, 2012). Crystal Reports is one of the Reporting solutions offered by SAP, which is concerned more about greatly formatted production reporting (SAP2, 2014). SAP offers BI dashboard which is used for data visualization. It can modify a flat excel sheet into interactive and pliable presentations (Obily, 2013).

Data Organization is the stage where data is being stored and organized. The storage of the data can be image based, graph based, documents or key-values. An Extract-Transform-Load(ETL) step is usually needed before data is stored in the final

New Technological development puts overwhelming demands on businesses and also provides new opportunities for Businesses to improve their products and Market Understanding. Due the vast development of Information technologies there are various possibilities to use them by Companies as they conduct their code. The most popular product of overwhelming Information can be taken as Electronic Data Interchange (EDI). Having Integrated EDI allows larger and smaller Businesses to