Why Small Business Can No Longer Ignore Big Data


Blog#1: Why Small Business Can No Longer Ignore Big Data

Name / Student ID::Sharon 林易宣 / D0740755
Source :https://www.forbes.com/sites/forbestechcouncil/2020/05/20/why-small-business-can-no-longer-ignore-big-data/#306e8e227639


The article mentioned that why small business also needs to pay attention to big data learning, and the reasons reflected today’s world working with this technology as usual. The pretty first time business heard about “Big Data” about 15 years ago, some people just choose to ignore it, some business learned how important this is and change their business mode cautiously.

You may use ERP system or SWOT to analyze your customer’s habit, however, you need to consider the data from user reviews and surveys from myriad sources after the connection with social media. It just kind of suggestion or recommendation, and the one thing you can’t deny is “abundance of the right kind of information”. Learn to emulate big business’s prophetic vision, then upgrade your equip to investigate more customer base. Integrate your business with data pools, you can make better decision when aggregate all information to your company.

After facing COVID-19, “supply chain” are now recognizable and meaningful to many industries. We all know social distance made lots of business shut down and facing pecuniary embarrassment. When every department can’t connect with each other, it would be an urgent problem to be solved, either is the time you may not fulfill your customers. Then turns to social media, all of the world could see your store’s comment, retweet and so on. Whatever you receive positive or negative comments, it will cause many seamless changes undoubtedly. Thus, new technologies and other world events will always serve to create new data challenges for small business owners, and this is why small business can no longer ignore big data.

Comments

Popular posts from this blog

How Big Data Can Boost Weather Forecasting

How Big Data is Changing the Production Industry

Big Data case study: 5 relevant examples from the airline industry