Technology Solutions For Senior Management Essay

Forecasting analytics will enable SYSCO to make appropriate upfront decisions and monitor customers as well as the industry. Extraction and data mining are also useful tools that will positively affect SYSCO’s decision-making process. Lastly, consulting support and employees’ training will facilitate the implementation of the new software in the company. For all these reasons, the use of BI at SYSCO can create a competitive advantage of the company in the industry. However, this competitive advantage depends on the competition – do the competitors use a similar software or by chance the same and do they already have a strong position in the market? Outperforming for example “U.S Food Service”, SYSCO’s main competitor, might be arduous if that company relies on a similar software and already has an eminent role in the

In today’s complex business environment, the field of data analytics is growing in acceptance and importance. It is playing a critical role as a decision-making resource for executives, especially those managing large companies. To shed more light on how companies are taking advantage of analytics, Deloitte Analytics commissioned The Analytics Advantage, the first in an annual series of surveys focusing on the state of analytics readiness at leading corporations and what the future holds.

As cost effective many, the basic goal of business, it is as much as possible. We spent a lot of money that you do not need by implementing all the things mentioned above.

For this paper, I interviewed my father, a 65 year old former mechanical engineer who lived in France until the 1980s, about the way that technology has changed over his lifetime and how it has affected him. He is currently working as a freelance programmer and has had past experience programming since the days of punch cards. Because of both his geographical and career background, he had some very interesting observations about the change of technology over the past decades.

In order to be an effective analytical competitor, Davenport and Harris (2007) assert that firms must meet certain prerequisites. Those prerequisites are at least a moderate amount of quality data about the type of business that analytics will support, hardware and software, the commitment of managers to develop analytics, and executive sponsorship (Davenport and Harris, 2007, p.16). Analytics is about extrapolating new information and

The four pillars of analytics competition are (1) Support of a strategic, distinctive capability, (2) an enterprise-level approach to and management of analytics, (3) Senior management commitment, and (4) Large-scale ambition (Davenport & Harris, 2007).

Any organization that is looking to be successful in this highly competive business world must seize the opportunities created by

In regards to competing on analytics, Archbishop Wood High School has a solid base in the analytics field of competition. Our school possesses several key characteristics and values that fall within the four pillars of analytical competition. As it currently stands, Archbishop Wood possesses characteristics in three of the four pillars, although with varying levels of degree and progress. Of the four pillars, Archbishop Wood High School has following characteristics: the support of a strategic, distinctive capability, an enterprise level approach to analytics, and senior management commitment to analytics (Davenport 34). Having a solid foundation in these characteristics is a good start to becoming more competitive, but improvement in each pillar is necessary as well as working to reach that fourth pillar.

The concept of analytics-based decision marking takes into consideration industry knowledge and business analytics which includes four acts (Bartlett, 2013). The four acts help prepare analytics to support an anticipated decision and illustrate a process for analytics-based decision making. As a result, the role of statistical thinking, the interaction, and relationship between industry knowledge and analytics, as well as where things can go wrong in a real business problem can be revealed (Bartlett, 2013). In addition, moving from one act to another seamlessly, jumping back from and forth from one act to another or simply following some other route is easy to do in a real business problem. This annotated bibliography will examine articles that contain resources that support the concepts contained in the four acts.

I have read and understand the plagiarism policy as outlined in the syllabus and the sections in the Student Catalog relating to the IWU Honesty/Cheating Policy. By affixing this statement to the title page of my paper, I certify that I have not cheated or plagiarized in the process of completing this assignment. If it is found that cheating and/or plagiarism did take place in the writing of this paper, I understand the possible consequences of the act/s, which could include expulsion from Indiana Wesleyan University.

2. Uniqueness - There is no single path to follow to become an analytic competitor, and the way every company uses analytics is unique to its strategy and market position. Accenture 's use of analytics has always been unique to acquire the market position. Accenture, in telecommunication industry uses bundle

Identify suitable business data, data elements, data types, and resources, based on the following interview between a database analyst and a lecturer from Sutherland University:

In an uber globalized market of today, companies are faced with challenges in each and every step of their business. Our analytics and research services are geared towards giving those companies that extra edge over the competition. We process and analyze terabytes of data and break down all the fuzz and chatter around it to give our customers meaningful insights about their competition and the market they are engaged in.

Stage 4 - Companies in this stage have broad analytic capabilities for solving local problems, but not at the organization level. Due to duplication of efforts and lack of appropriate employee skill sets and attitudes, the organization has some work to do to reach this level of analytical maturity. The CEO and executive team are supportive of analytical focus, but are not passionate about competing on this basis.

Part 2. How Business Analytics can be used to gain advantage in a competitive marketplace