Skip to content


    Write discussion for:


    Both case studies in this week’s reading assignment were about how the company Air Liquide and the analytics expert Dean Abbott leveraged combined analytics methods to improve business outcomes (create competitive advantage, increase customer loyalty, reduce waste, optimize production schedules, and distribution, etc.). Using the two case studies as examples, discuss the role of how combined analytics methods can be leveraged to analyze an organization’s data with the goal of gaining insights into their ability to predict future outcomes, drive efficiency, and gain competitive advantage.



    Chambers, M., & Dinsmore, T. W. (2015). Advanced analytics methodologies: Driving business value with analytics. Pearson.


    Write discussion reply for:


    In an effort to improve efficiency and cut costs, Air Liquide deployed a combination of ant systems and genetic algorithms to run analytics. The complex system of analytics pulled data from various sources including but not limited to weather forecasts to make predictions about future outcomes. The combined analytic approach to problem solving used data from customer demand along with production planning information. Monitoring weather conditions proved to be one aspect of the complex system that Air Liquide deploys that gives it a competitive advantage (not to mention the fact that it’s one of the largest applications of ant systems) (Chambers & Dinsmore, 2015). 

    Air Liquide has further optimized by combining analytical tactics to drive costs down on the back end. Predictive analytics determine optimal hydraulic and transportation solutions so that the company can distribute resources in such a manner that cuts costs and drives efficiency (Chambers & Dinsmore, 2015). 

    In the world of predictive analytics, expert Dean Abbott helped a computer hardware and devices service center improve their efficiency in terms of preparing technicians with the right hardware parts to service a customer’s needs on any given call. Abbott’s combined analytics approach involved text mining, decision trees, descriptive statistics, and transposing historical data to fit a narrower set of categorical data. Ultimately, Abbott would not reveal the black box that this technique evolved into, but it proved to be invaluable to the company (Chambers & Dinsmore, 2015).  

    In terms of predicting outcomes for the tech company, Abbott’s secret weapon was to use summary statistics as predictor variables instead of the raw data itself. Then he added more decision trees into an ensemble of trees. All of the moving parts of the combined analytical methods worked toward one goal: satisfying service calls on the first attempt. Abbott’s solution saved the company time and money in optimizing its technicians’ abilities to handle problems most efficiently (Chambers & Dinsmore, 2015).  The company’s competitive advantage will remain so as long as Abbott never reveals the secret! 


    Chambers, M., & Dinsmore, T. W. (2015). Advanced analytics methodologies: Driving business value with analytics. Pearson.


    2. Combined analytics methods can take an organization’s insights to the next level.  Air Liquide utilized ant systems and genetic algorithms to optimize production schedules and distribution.  Data included several sources including customer demand, energy prices and weather forecasts.  Abbot utilized a combination of text mining, descriptive statistics and ensemble learning to build a predictive model (Chambers & Dinsmore, 2015, pp. 34-42). 

    For this discussion post I found another interesting use case sing combined analytics methods.  With the popularity of mobile devices, UX (user experience), defined as “a person’s perceptions and responses that result from the use or anticipated use of a product, system or service” has become increasingly important (Borys, 2016, pp. 34-42).  Good website design can make all the difference in whether customers decide to stay on a website and make a purchase or click off. 

    A study by Borys et al. (2015) aimed to combine web analytics and eye tracking software to analyze the UX of an e-commerce website.  Web analytics (user surveys, device type, operating system, browser, engagement style, visit frequency) provides a wealth of information to UX designers.  Eye tracking studies provide further information on how long it takes a user to complete a task and heat maps for where the eyes are first drawn (pp. 34-42).   Combining these two sources of information provided important details on how users interacted with the website and provided key information on areas to improve.  Combined analytics have a use in improving any research and design process by providing additional sources of data to draw from. 


    Borys, M., Czwórnóg, M., & Ratajczyk, T. (2016). Web analytics combined with eye tracking for successfuluser experience design: A case study. Applied Computer Science12(4).

    Chambers, M., & Dinsmore, T. W. (2015). Advanced analytics methodologies: Driving Business Value with Analytics. Pearson Education. 34-42.

    Did you know you can hire someone to answer this question? Yes, is a hub of paper writers, dedicated to completing research and summaries, critical thinking tasks, essays, coursework, and other homework tasks. It is simple as ABC.

    Get 20% off your first purchase using code GET20