With Marvel Studio\u2019s first installment of Iron Man in 2008, I have fantasized about my very own real-life JARVIS. Google has for years taken steps that seem to be bringing us closer to our own version of that reality, most recently through the acquisition of Nest Labs for $3.2 billion in 2014.<\/p>\n
Co-founded by former Apple engineers, Tony Fadell and Matt Rogers, Nest\u2019s mission focused on reinventing commoditized home devices. Since the release of its first-generation Nest Learning Thermostat in 2011, the company has spearheaded the transformation towards a new world of myriad possibilities brought through data collection and analytics.<\/p>\n
Since then, Nest has been able to recreate and capture value from an essentially commoditized product by utilizing digital technologies, including software and machine learning to drive efficiencies across its user base. Nest\u2019s website features a variety of products that promise to effectively connect and \u2018smarten\u2019 your home. These include:<\/p>\n
Nest has come a long way since its establishment, and throughout its growth has faced its fair share of setbacks. The company today faces increasing competition within the smart home sector, with Amazon posing the largest threat. Through its product sales, Nest is able to capture important customer data to design predictive solutions to the complex operations of its customers.<\/p>\n
By reinforcing data into the algorithm, the products \u2018self-learn\u2019 homeowner lifestyle and behavior. This often requires little to no manual programming and adjustments made by the customer. Data about the operation of heating, ventilation and air conditioning (HVAC) systems, as well as human occupancy patterns are acquired through this process[1]<\/a>. The data is then used to adjust\/switch modes to optimize energy requirements across a wide network of homes by smoothening out energy consumption during peak load demand. This not only provides huge savings for the power and utility sectors, but also captures information about energy usage and consumption that may be useful in operation planning.<\/p>\n Since the release of its first Nest Learning Thermostat in 2011, Nest has saved upwards of 21.5 billion kWh of energy and claims to save homeowners an average of 25% and 30% on heating bills and cooling bills respectively[2]<\/a> [3]<\/a>. Not only are connectivity and growth in IoT providing many value creating opportunities, but they are also shifting businesses towards performance\/outcome-based revenue models.<\/p>\n Price point.<\/strong> At $249, the price point of a Nest is well above any other thermostat in the market which can go as low as $30. While the company has done relatively well in communicating the value it offers homeowners, key challenges remain going forward in increasing sales and customer WTP. Nest has recently prices of its third-generation thermostat to below $200, but this remains higher than most competitor thermostats.<\/p>\n Rubbish in, rubbish out. <\/strong>Many are questioning the usefulness of the data gathered through the technology, that is used to fuel the machine learning process. By monitoring movement e.g. walking by the thermostat, Nest tries to determine when someone is home. This poses some issues as some thermostats are placed in areas of the house were little activity takes place, and thus is not a good indicator of customer behavior. Nest should, therefore, consider new innovative ways to capture useful data to improve its algorithm and thus quality.<\/p>\n Connectivity concerns. <\/strong>The company was criticized heavily in 2016 due to three major outages due to product malfunctions[4]<\/a>.This has become especially problematic for customers that rely on their Learning Thermostat to keep their homes warm in winter, and parents who use the Cam IQ to watch their kids.<\/p>\n Nest also faces issues with customer education and awareness, distribution channel strategy (B2B\/B2C) and carried the burden on ongoing patent lawsuits. \u00a0Despite its challenges, competing under the Google Home ecosystem provides Nest with opportunities. Operating under Google\u2019s hardware division may allow Nest and Google to streamline their product offerings e.g., Google Assistant, and operations to compete with rivals in the connected home space e.g. Amazon Echo.<\/p>\n <\/p>\n [1]<\/a> Central Heating Ventilation and Air-Conditioning (HVAC) Systems.\u201d Consumer Energy Center \u2013 Central Heating Ventilation and Air-Conditioning (HVAC) Systems. Accessed April 7, 2018.<\/p>\n [2]<\/a> https:\/\/nest.com\/thermostats\/nest-learning-thermostat\/overview\/<\/a><\/p>\n [3]<\/a> https:\/\/clark.com\/homes-real-estate\/nest-thermostat-price-point-under-200\/<\/a><\/p>\n [4]<\/a> http:\/\/www.businessinsider.com\/whats-going-on-at-nest-2016-2<\/a><\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" With Marvel Studio\u2019s first installment of Iron Man in 2008, I have fantasized about my very own real-life JARVIS. Google has for years taken steps that seem to be bringing us closer to our own version of that reality, most […]<\/p>\n","protected":false},"author":1762,"featured_media":8028,"comment_status":"open","ping_status":"closed","template":"","categories":[],"class_list":["post-8027","hck-submission","type-hck-submission","status-publish","has-post-thumbnail","hentry"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-digit\/assignment\/competing-with-data-challenge\/","yoast_head":"\n