Canadian Tires

Business intelligence (BI) merges architectures, tools, databases, analytical tools, applications, and methodologies. It also is context free like DSS. BI deduces the connections between business entities by evaluating copious volumes of historical data which supports decisions. BI has four major components consisting of a data warehouse, business analytics, business performance management, and a user interface.

Its organization would face difficulties to interact and analyze data outside of the silos and create critical insight for decision-making. The IT infrastructure and the organization architecture cannot identify excellence business initiatives to drive the BI project across the organization. Prioritizing or choose a BI project to be implemented is based on the level of commitment from

Due to the explosive success of the credit card divisions, it would be very easy to support the Summit Acceptance Corporation initiative. The IBS capability was easily applied to the credit sector, and one would deduce that this competitive advantage would be successful in other credit-based markets. Even though Capital One was in a position to easily leverage its existing IBS capabilities into products not previously considered, it would be difficult to support the America One initiative. There was a lack of synergy with Capital One’s existing operations, and the telecommunication market was a drastically different industry.

The current process for CTC to acquire BI is a broken system. Much of the information derived, from the current data in the warehouse, was done by FRAG, individual user groups and hired business analysts who extracted data and created reports. This was creating a serious misallocation of resources and responsibilities throughout the company. Shadow groups, created to complete some of the required BI tasks, were not only less efficient than an organized strategy, but were also a security risk to CTC. With small groups taking over the responsibility of creating BI, the

Additionally, it is important to understand importance of (IT) strategies supporting the Business Strategy. For example, this scenario emphasizes a requirement to familiarize management’s understanding of (IT) capabilities and inabilities (Turban, Volonio, & Wood 2015, p. 393). Therefore, if management is not familiar with (IT) capabilities, difficulties could occur when attempting to comprehend meaning and importance of information delivery, data analytics, including, data integration within the business enterprise. Furthermore, having ability to “access current performance, identify capacity and human requirements, including, clarifying the level of investment would all be both relevant and important towards (IT) strategies that support business strategy” (Turban, Volonio, & Wood 2015, p. 393).

Recently, most of the organizations with BI Programs are making a paradigm shift to Agile BI which involves both process oriented and technical approach to implement BI projects. Agile BI constitutes organization’s ability to prepare its BI program to meet the evolving requirements of the business and its operations.

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.

TDWI is a research division who focuses on high-quality educational research on business intelligence (BI), and data warehousing. TDWI conducted a report which was designed to “educate technical and business professionals about new business intelligence, technologies, concepts, or approaches that address a significant problem or issue.” They also mention how users could discover data relationships that are hidden behind unappealing data structures by using data visualization software’s. These software’s don’t necessarily have to be used by professionals who have been working with business intelligence and analytics for a long time. They are designed to also be used by “nontechnical” individuals who have the curiosity and interest in

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.

With the global marketplace becoming increasingly competitive and the insatiable appetite for business information, the volume of data that must be managed and assimilated is growing at an exponential rate. Global corporations take advantage of the current technologies, and infrastructures, require standard processes, consistent data to enable global consolidation and the ability to transform raw data into business intelligence to support better decision making.

Assignment: Research on the internet for the different BI technology solutions available. Select the top two solutions that will be appropriate for a business environment with which you are familiar. Recommend one solution while referring to the second option and discussing the differences. Emphasize why you chose the top one and why it fits the problem. Report your recommendation in a one page, single spaced paper. Present a persuasive argument. Do not forget to provide proper references/citations.

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.

3 .A bound together and single reporting framework to break down the insights/status and so forth continuously, over all capacities/divisions.

The EI team facilitates access to the enterprise data warehouse (EDW) which is used to consolidate data from many data sources both within SWA and outside SWA. The EDW has several purposes:

In building a transformational BI business case, positioning of BI tools should focus on what of the following?