A Centralized Data Processing Model For Meet Business Operational Requirements

Target Corporation allocated large budget to upgrade information system as part of a roadmap to transform business (Target Roadmap, 2015). Once the upgrade is completed, it will provide a large amount of intelligent data for internal resources to support customers faster. It further tracks performance and controls accurately the timely information about daily operations in real time. The automated online and on-demand ad-hoc reports generate reports for each store any time as well retains records of products and services.

Up until this point, Third Star Financial Services has operated via a succession of mergers and acquisitions where systems were inherited but never integrated into the network. Its data management has been virtually non-existent and entirely ineffective. Evidence of this can be found in the absence of an enterprise-wide data management solution and the presence of several disparate systems operating independently with no measurable benefit to the company. Due to a lack of actionable data, management makes decisions based on instinct rather than through analysis. A direct consequence of this is a steadily declining market share and loss of high-level employees to competing companies. Fortunately, this discrepancy has been identified and Third Star executives have established the new goal of modernizing and streamlining operations. Using concepts outlined by the Data Management Association (DAMA), this proposed enterprise architecture will allow Third Star to transform their data from a liability to an asset.

In the case of real-time analysis dashboards have become very popular over the past five years they provide a view of key metrics to allow management by exception. Where post transaction data is being analyzed, data warehousing provides the ideal methodology for enhanced forecasting from the data. This also allows the ability to look for improvements in the supply chain, operations, and marketing to adjust processes and refine a message for marketing as part of a continuous improvement program.

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.

Midsouth Chamber of Commerce, a nonprofit, member driven, business advocacy group is in the processes of upgrading their current information system. Midsouth has decided they need to upgrade their information system to a more currently system, in order to increase revenue producing opportunities. Their original IS system was built by an outside consultant (who is no longer in business) on a departmental need base, rather than a company wide need. The original system was put into place in 1987, with modifications done in 1993, and 1995. During this time all IS decision were made by outside

In today’s highly competitive global marketplace, organizations must learn to improve efficiency and take advantage of all available resources. Huffman Trucking understands this concept and has requested that their information technology infrastructure be evaluated to identify any deficiencies and maximize operational efficiencies accordingly.

Kudler’s Fine Foods is a small to medium size business that specializes in gourmet foods throughout the San Diego Metropolitan Area. To operate the business efficiently, Kudler uses Retail Enterprise Management System (REMS) to implement the necessary operating for all of the business the Kudler conducts. Like many small to medium size organizations entering in the complicated world of business, they needed to hire a consulting firm to guide them for the appropriate Retail management system for their respective business use. This consulting firm, Smith Consulting, also was contracted annually to

This is one of the greatest challenge that is acting as a key barrier in widespread adoption and pervasive use of the tools fostering for development and progress in this field of study. The real time of the big data analytics would require some of the unique features and special computing powers and potentials (Gantz, 2012). Tools have to made specially advanced so as to incorporate process terms in real time (Chen, 2012). Every business oriented organization should be transformed into information centric (Kaisler, 2013) to focus upon the real time data analysis in terms of both input and output.

2. Flexibility- There would be a great benefit of flexibility. If the time arose that we needed more sever capacity such as a storm we would have the ability to call our host company and have the sever capacity increased only for the amount of time we needed it instead of purchasing that equipment that we may not need after a storm.

Loblaw used to save store and vendor information in different types of Legacy systems, for example, the vendors’ sales data is stored in the system called Bi-query, and the vendor stores payment records can be found in Customer Information Control System (CICS). However, given the size and complexity of Loblaw, it is hard to remain competitive without a system that can integrate information from all business areas and provide real-time information updates of critical information so that an entire enterprise may function as one. Therefore, Loblaw starts to transfer store and vendor data from Legacy systems, into a more efficient and powerful system called SAP.

Faster, better decision making: With the speed of Hadoop and in-memory analytics, combined with the capability to analyze new sources of data, businesses are able to analyze data immediately and make decisions based on what they’ve learned.

Carlson Companies, a private company known for its existence in marketing, business, leisure travel, and the hospitality industries, has over 180,000 employees across the United States. Carlson Shared Services, the Information Technology (IT) division, provides services to its internal clients and thus must support a wide range of applications and services. In 2002, the IT division decided to implement a storage area network (SAN) that in turn would meet the six (6) goals established in order to meet the needs of a growing company.

* Aimed to align CRs strategic goals to the IT-strategy by employing a feasible IT-infrastructure to advance the flow of data (centralize data produced) and to fabricate information that can assist the various business intelligence and decision-making activities.

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.

Data has always been analyzed within companies and used to help benefit the future of businesses. However, the evolution of how the data stored, combined, analyzed and used to predict the pattern and tendencies of consumers has evolved as technology has seen numerous advancements throughout the past century. In the 1900s databases began as “computer hard disks” and in 1965, after many other discoveries including voice recognition, “the US Government plans the world’s first data center to store 742 million tax returns and 175 million sets of fingerprints on magnetic tape.” The evolution of data and how it evolved into forming large databases continues in 1991 when the internet began to pop up and “digital storage became more cost effective than paper. And with the constant increase of the data supplied digitally, Hadoop was created in 2005 and from that point forward there was “14.7 Exabytes of new information are produced this year" and this number is rapidly increasing with a lot of mobile devices the people in our society have today (Marr). The evolution of the internet and then the expansion of the number of mobile devices society has access to today led data to evolve and companies now need large central Database management systems in order to run an efficient and a successful business.