Sashi Reddi, vice president and general manager of CSC’s Big Data and Analytics group wrote a very interesting article called, “4 Ways Big Data Will Transform Business”. In this article he discusses expansion of customer intelligence, improvement to operational efficiencies, new business processes when combining big data and mobile, and how big data and analytics go “as a service”. Reddi believes big data is drastically changing the way businesses operate and gives companies a competitive advantage over competitors.
Reddi’s argument that I agree most with is that big data improves operational efficiencies. He is spot on when he talks about how data being combined with machine-to-machine interaction is improving predictive analytics. Taking his point one step further, I believe big data will also improve analytics in terms of understanding how machines work with each other to understand how to improve efficiencies. If machines can interact with one another through big data (without human intervention) then the machines can determine how to become more efficient on their own. This will improve production time in a plant as well as reducing lag time between different parts of the setup. In addition to improving the airline production industry, this big data can also be applied to the construction industry in terms of making cranes and other equipment used for construction. When data is able to be collected, and analyzed on its own this allows for improvement in the manufacturing of large scale equipment and will help improve efficiencies and consequently reduce costs if it doesn’t take as long to produce.
While Reddi explains that big data combined with the mobile industry will lead to customers being able to implement new business processes, he is ignoring the fact that mobile phones and technology are constantly changing. Due to this fact it will be difficult for companies to continuously allow their customers to have access to the data and in turn help companies with decision-making. It will be challenging for companies to keep up with pace at which mobile technology continues to develop. Also, not everyone has a smartphone (especially in other less developed countries) so this system will not reach a companies’ entire market. Due to this constraint I feel companies should be wary about how much time and effort they spend trying to combine their big data with customers’ mobile technology.
Overall, I believe all companies should adopt this technology and accept big data to use it to its fullest potential. I do not believe it should be mandated, but if a company can afford to use this data they should. While Reddi does not touch on the costs of big data and implementing it into a company this is most certainly something that needs to be considered. I would imagine this is not a cheap venture so companies must take costs into consideration before implementing the usage of big data into their every day operations.