Would a data-mining program be useful to air miles

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Reference no: EM132153838

Topic: Air Miles Canada:

AIR MILES is Canada’s largest coalition loyalty program, with more than ten million active Collector accounts and approximately two-thirds of Canadian households participating in the program. Collectors earn reward Miles by shopping with select sponsors, which can be used to redeem free flights, hotel accommodations, car bookings, merchandise, and more. AIR MILES has over 100 sponsors, including American Express, Toys R Us, Amazon, and more.

The Problem

The existing car and hotel booking experiences are drastically hurting conversion tunnels

Issues with the AIR MILES Travel booking experiences (flight, car, and hotel) is one, if not the greatest, driver of calls to the call centre, with wait times of up to 4 hours during peak seasons for travel. As a result, AIR MILES needed a redesign of the car and hotel booking experience to address the usability issues that are impacting the conversion tunnel and maintain consistency across the platform following the recent redesign of the flight booking experience.

Questions:

How would a data warehouse assist the marketing team at AIR MILES, going forward?

What functions would it perform that would be most useful?

Would a data-mining program be useful to AIR MILES?

Would it be helpful to Sponsors and Suppliers? If so, how? If not, why not?

Topic: Bowman Communications:

Summary:

Between 1994 and 2000 Prof. Derek Smith developed algorithms that in the last 10 years have been incorporated into major communication systems used throughout the British Armed Forces. Previous systems were unable to reliably deal with the huge volume of data provided by modern intelligence, surveillance and reconnaissance assets, particularly suffering from interference between users. Since 2004, alternative systems (Bowman and Falcon) overcoming these deficiencies have been rolled out. Approximately 50000 radio sets using this technology have been manufactured and fitted to 15000 military vehicles, including the entire Royal Navy fleet and 75000 people required training in its use.

Modern communication systems involve the transmission and reception of huge volumes of data. While it is always important for data to be uncorrupted between the sender and the receiver, it is particularly problematic for military communication systems where the infrastructure has to be rapidly deployed and information sent on the network can be a life-or-death matter. Indeed, where there are a large number of users in close proximity to each other, for example in a combat situation, there is much competition for broadcast frequencies and data can undergo interference that renders the communication useless. Thus intelligent algorithms are required that efficiently utilize the range of broadcast frequencies available while simultaneously minimizing interference between users. Smith, along with others including Perkins and industrial partners, developed algorithms between 1994 and 2000 that have been incorporated into new communication systems utilised throughout the British Army, Navy and Air force from 2004 onwards.

Questions:

Which management style would best serve the needs of the Bowman Communications Company?

Why would it work best?

How could goal-setting, motivation systems, and reward programs be established to make sure employees both understood the Bowman system and effectively convey its advantages to prospective clients?

Reference no: EM132153838

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