Disruptive

Sample Solution

  The Christensen video focuses on the idea of using data-driven decision making in order to improve a company’s performance. According to Christensen, data can be extremely useful when determining the direction a firm should take and what strategies they should use. Data provides an objective look at how firms are performing, allowing managers to identify areas which could benefit from improvement or changes in strategy. However,      

he also emphasizes that looking through the lens of theory is equally important in being successful. Theory allows companies to understand why certain decisions are better than others for their specific situation and helps them develop long term plans for success. When I heard Christensen talking about the value of being data-driven and looking through theoretical lenses, my immediate reaction was one of agreement but also with caution. On one hand, it is clear that having access to accurate and up-to-date information on how your business is doing via data collection is hugely beneficial in terms of understanding where improvements can be made within a company’s operations. On top of this, having theories which provide insight into why certain strategies will achieve optimal results makes perfect sense as well; if you know why something works then you can adjust accordingly depending upon changing market conditions or competition levels etc.. On the other hand though, I think it is important to recognize that while data analysis and theory both have their advantages they must never replace ‘gut feeling’ entirely nor become just another tool which management uses without actually taking any responsibility for outcomes - especially since relying too heavily on either can lead businesses astray due to unseen variables not taken into account during analysis or incorrectly selecting wrong theories/models for application with regards predicting future trends etc.. Therefore I believe there needs be some balance between these two approaches if firms hope to successfully make use of them together in order maximize potential profits or ensure cost savings: i.e., too much reliance on either could prove damaging over time by limiting innovation (and thus overall progress) due to an overreliance on internalized models & processes rather than creative thinking outside traditional methods/frameworks etc.. Overall I would say therefore that both positive aspects noted above need be kept firmly in mind when considering their respective roles within any given company; understanding how best utilize each approach so as capitalize upon benefits offered whilst avoiding pitfalls associated with blindly following either approach alone should certainly help guide towards more profitable/successful business practices going forward overall!