Big data is just an empty business term, as empty as business intelligence. Of course, that’s not to say big data doesn’t make sense, it just means different things to different people.
Big data is a way to obtain original data from multiple different data sources, store the data for use by the analysis program, and use the original data to obtain value from the data in a new way.
It is said that every Internet company should be able to find a “” magic number” “and run around it. For example, Uber, they found that when a driver takes more than 25 orders, they don’t lose them, so they set 25 as the magic number. After the new driver picks up 13 orders, it will try to remind him that you have completed 50% of the mission. Come on!
Big data has another meaning for consumers or Internet users. Big data is to collect as much privacy as possible related to the end consumer and then market it. In theory, by collecting user behaviors, big data companies can better understand the needs of consumers and enhance user experience. But in practice, these smart recommendations are still at a very early stage, so someone will search Google for a used car sale, and there will be a lot of information about selling cars in the face book’s marketplace.
Another example: American Express Co. and business intelligence. Hindsight reporting and trailing indicators can only take a business so far, AmEx realized. “Traditional BI [business intelligence] hindsight-oriented reporting and trailing indicators aren’t moving the needle on the business,” Laney said. So AmEx started looking for indicators that could really predict loyalty and developed sophisticated predictive models to analyze historical transactions and 115 variables to forecast potential churn. The company believes it can now identify 24% of Australian accounts that will close within the next four months.
Big data is a naturally evolving approach to the vast amount of data generated by today’s applications. The amount, speed, and variety of data received by today’s enterprises means that being able to solve these problems can only be a consistent and continuously evolving solution.
In other words, it’s the way we use software and create data to drive the development of big data. Big data will exist unless we change the way we use software (such as applications), platforms (such as social media) and core infrastructure technologies (such as the Internet). An example: ditch Snapchat? LinkedIn? Facebook? Twitter? It’s impossible.
Reference:
Margaret Rouse, Big data, Whatls.com, https://searchdatamanagement.techtarget.com/definition/big-data
Nicole Laskowski, Ten big data case studies in a nutshell, https://searchcio.techtarget.com/opinion/Ten-big-data-case-studies-in-a-nutshell
Tim Harford, March 28, 2014. Big data: are we making a big mistake? https://www.ft.com/content/21a6e7d8-b479-11e3-a09a-00144feabdc0