Big Data in Business
discusses how big data can be used in transforming companies as well as the advantages associated with the same. Firms, a good example being Amazon has been seen to eclipse competitors with great new business models that develop from an ability to exploit data. Businesses have, over the years, been growing, and in the1990’s business managers started incorporating big data and analytics concepts. This paper focuses on the journey taken since the introduction of the idea. The most critical issues are highlighted as well as the lessons learned from the pioneers of the principle. The steps for successful incorporation, relevant experiences, and applications are also discussed.
The first critical thing in big data and analysis is the identification of the right data source. There is a wide range of data sources due to technological advancement. Sophisticated software has been developed and continues to be improved, and data that would not be processed a few years back has become easier to obtain and synthesize (). The biggest challenge to any business manager is always getting a suitable data source. After getting a trustworthy data source, a good manager cannot implement the data into the business without some degree of certainty of the profitability of the incorporation of the system. Advanced analysis models have to be developed to experiment with the outcome of using the technology. Getting the results from the software is not enough, and now the management has to evaluate the capability of the organization to adopt big data technology. The final decision has to be made based on the organization’s resources.
In the early 1990’s a revolution for businesses to shift from using old techniques to incorporating data technology to boost their operations and reach out to more customers (). Significant challenges accompanied this. A research carried out by Andrew and Brynjofdsson from Massachusetts Institute of Technology indicated that companies that ventured in big data technology had a more significant advantage over those that did not embrace it through increased profit. However, this did not easily come as many challenges accompanied it. There was no certainty of the outcome, and many companies collapsed due to huge losses. These companies paved the way to the success of many organizations in the 21st century.
For significant data technology implementation, a strategy is critical, and every manager must have a well laid out plan to transform the business entity into embracing it. Strategy prevents a manager from making blind decisions without knowing the results of the given technology. The first step is always creatively getting a data source (). Creativity always makes one outstand his/her competitors. Upon getting a data source, proper IT support should be set up to implement the technology. An idea may be excellent, but poor implementation would fail. Patience is always needed in the application of big data. It’s usually a slow process and cannot be implemented at once but has to be carried out in stages to avoid shutting down the whole organization. This waiting time has, however, changed as the technology advances.
The greatest lessons to all the managers and entrepreneurs are; first, the world is shifting towards big data technology, and for any future survival, it’s the only direction to take. Also, it’s important to note that it’s a slow process not easy at all to achieve, and patience must be exercised (). Finally, it’s essential to realize that it should never be a trial process, and proper strategy is required. This knowledge applies to all business organizations, and the managers require this knowledge to run their institutions effectively. Investors also need to be aware of where the world is shifting. Finally, governments also need this knowledge to plan for the future of their countries.
Reference
Big data has been transformative for many companies, with firms like Amazon developing new business models derived from their ability to exploit data. The growth of businesses in the 1990s saw the introduction and incorporation of big data and analytics concepts, marking a significant shift in business management. This paper explores the journey taken since the introduction of this concept, highlighting key issues and lessons learned from the pioneers of this principle. It also discusses the steps for successful incorporation, relevant experiences, and applications. The first critical aspect in big data and analysis is identifying the right data source. With technological advancements, there are numerous data sources available, and sophisticated software continues to be developed and improved. This software makes data that would have been unprocessable a few years ago easier to obtain and synthesize. One of the biggest challenges for business managers is finding a suitable data source. Once a trustworthy data source is identified, advanced analysis models need to be developed to experiment with the potential outcomes of using this technology. The early 1990s marked a revolution for businesses, shifting from old techniques to incorporating data technology to boost operations and reach more customers. However, this shift was not without its challenges. Research from the Massachusetts Institute of Technology indicated that companies that embraced big data technology had a significant advantage over those that did not, through increased profit. Yet, this success was not guaranteed, and many companies collapsed due to huge losses. These early adopters paved the way for the success of many organizations in the 21st century. For successful data technology implementation, a well-laid-out strategy is critical. Managers must creatively identify a data source and set up proper IT support for implementing the technology. Patience is key in the application of big data, as it is a slow process that must be implemented in stages to avoid disrupting the organization. As technology advances, however, this waiting time is decreasing. The shift towards big data technology is a critical lesson for all managers and entrepreneurs. For future survival, it’s imperative to embrace this direction. It’s also important to understand that the implementation of big data technology is a slow process that requires patience and a well-thought-out strategy. This knowledge is not only applicable to business organizations and managers but also to investors and governments for effective planning and future preparedness.