Time Inc. Retail henceforth referred as TWR is Time Inc.’s central retail organization, providing integrated sales, distribution and marketing solutions in support of Time Inc. brands and its clients which are third party brand publishers. Time Consumer Marketing henceforth referred as TCM provides direct marketing services for Time Inc brands subscription based model. My group Consumer Marketing Technology was responsible to meet the IT needs for TCM and TWR business.
For TWR, I architected and delivered scalable robust Business Intelligence platform to perform analytics on terabytes of retail data gathered from various resources incorporating convoluted security requirements.The platform was the most extensively used application by TWR executives, sales and marketing professionals
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Multiple data sources like Point Of Sale, Circulation and Billing, SalesLogix, Wholesaler data (Magnet) and few more were feeding the system with each data provider regulating the security guidelines that BI must adhere to thereby, limiting the clients to see the data information pertaining to the contracts. Furthermore, to comply with the order and regulations of data providers, business requirement was to deliver reports accessible exclusively for internal Time Inc users or reports open to all Time Inc and Clients with no data limitations ( no data level security) or reports for Clients executing on data limited to their respective brands( Non-Magnet Security).
The application we had for TWR BI portal was built on Java stack that rendered list of
Lowe’s is a home improvement warehouse that was founded in 1946 as a single store and since has grown to become the second largest in the world. As technology has evolved, Lowe’s has made many advances incorporating new systems and devices to stay competitive. The purpose of this paper is to evaluate the information technology management systems used at Lowe’s. It will look at Porter’s Five Force Model, supply chain management; data base management system, five agent-based technologies, e-commerce and system development lifecycle. Furthermore, it will look at business continuity planning, emerging trends and security vulnerabilities relates to the organization to remain competitive.
Besides marketing its customer service, the company markets different programs according to its three major types of customers. Some of them being,
TM is the main nationwide provider of telecommunication services. It has x no of subsidiaries and operates in three core operating areas of:
The Goal is a story about overcoming manufacturing problems that is told through the eyes of a plant manager, Alex Rojo. Alex arrives to work one morning only to discover the division vice-president, Bill Peach, showed up unannounced to see the status of a specific customer order number, discovered the order was incomplete, barked orders at employees to assemble the products, and finally informed Mr. Rojo he has only three months to improve his plant's performance before it's closed because the plant cannot get orders out the door on time. In fact, the order Bill investigated was already seven weeks late and the product not even assembled. After Bill departs, Alex heads to the floor to discover Bill's unexpected arrival has created more problems. The master machinest Bill yelled at before Mr. Rojo arrived quit but only after setting up a machine to complete the seven-week-late order that Bill demanded be shipped out today. The machinest, however, forgot to tighten two adjustment nuts on the machine so several parts must be scrapped, but even worse is that the machine, which just so happens to be the only one of its kind in the plant, is broken.
After reviewing Mattel, Inc., I understand the company seeks to maintain their position as a global leader in the toy industry by creating beloved, high-quality toys and brands in a safe, responsible, and ethical manner.
Rueter, M., & Fields, E. (2012). Tableau for the enterprise:an overview for it. In Retrieved from http://www.tableausoftware.com/learn/whitepapers
Over the past few years, Internet-enabled businesses, or e-businesses, have drastically improved efficiency and revenue growth. E-business applications such as e-commerce, supply-chain management, and remote access allow companies to streamline processes, lower operating costs, and increase customer satisfaction. Such applications require mission-critical networks that accommodate voice, video, and data traffic, and these networks must be scalable to support increasing numbers of users and the need for greater data. capacity and performance of the system. However, as networks enable more and more applications and are available to more and more users, they become ever more vulnerable to a wider range of security threats.
Data encryption refers to the process of transforming electronic information into a scrambled form that can only be read by someone who knows how to translate the code. In nowadays business world, it’s the easiest and most practical way to secure the information that we stored and processed, and it’s significant for our sensitive information. For example, as electronic commerce is popular now, the vendors and retailers must protect the customers’ personal information from hackers or competitors. They also have many business files or contracts that need to be strictly protected. Without data encryption, these important information may fall into wrong hands and be misused by others. Besides, data encryption may be used to secure sensitive information that exists on company networks, or create digital signatures, and help to authorize in business. No one should underestimate the importance of encryption. A little mistake in encryption may make sensitive information revealing, or even result in illegal and criminal accuse.
The key strategy implementation efforts at Amazon all surround the use of “big data”. Big data is the growth and availability of large volumes of structured/unstructured data. The use of big data has allowed decision making based upon data and analysis instead of past experience and intuition. Big data has directed organizational change in allowing Amazon to expand from an online book store to an internet giant. Revolutionary application of big data has allowed Amazon to create superior service quality while motivating employees by providing real time information to solve customer issues. Big data has strengthened Amazon’s competitive capabilities by pioneering the application of big data and charging a monthly fee to smaller businesses
First of all, business intelligence analysis requires the capturing of information and storing in a single location for effective data analysis. Currently, data analysis is supported by transactional systems, business specific data marts, and other ad-hoc processes. Information is distributed making it difficult and time-consuming to access. Business teams have adapted to this environment by creating user maintained databases and manual “work-arounds” to support new types of reporting and analysis. This has resulted in inconsistent data, redundant data storage, significant resource use for maintenance, and inefficient response to changing business needs.
Distribution of such information requires both a need to know and a right to know the information requested. Information acquired by an employee in the course of his or her employment with AABB Technologies must not be used for the employee’s individual benefit. Access to AABB Technologies’s confidential information does not carry with it personal benefit or advantage to AABB Technologies employees but imposes an obligation on every employee to keep such information confidential and to use it solely in the interest of AABB
The application data is stored in a SQL database which can be accessed and modified using SQL queries and commands. The application also uses the Java API, Java Server Pages. Javascript is used to create database scripts which has the primary purpose of displaying data retrieved from the SQL database in a presentable
Prior to the start of the Information Age in the late 20th century, businesses had to collect data from non-automated sources. Businesses then lacked the computing resources necessary to properly analyze the data, and as a result, companies often made business d...
Data can be organized a specific way for each business to be able to get the best use. Employees can also access the system at the same time but in different ways. For example, the customer service team can pull up documents and keep track of complaints at the same time that the marketing team is in a
Curtis G. & D. Cobham (2002: 4th edition) Business Information Systems: Analysis, Design and Practice. Essex: Pearson Education Limited