Analytics and big data have been key contributors to many businesses’ success. Analytics and Big Data Management have allowed corporations to make informed choices, which has improved the effectiveness of their strategies. Hewlett-Packard and IBM are the most prominent players in this area. They do so to realize their full potential and gain a competitive advantage in the market. Although big data analytics and big data are highly effective at directing enterprise operations and making decisions, the problem of determining the right implementation channels is significant. The article discusses some of the obstacles organizations may face when adopting analytics and big data strategies. It also includes a realistic approach for data analysis. The methods described in this article can help organisations make better strategic decisions. They will also be able to use them successfully to improve data quality. This study provides valuable insights to business leaders who are dealing with issues related to big data management and analytics management.
This article discusses the three most important issues in analytics and big data. The article covers three key topics: data gathering, analysis, modeling, and application to company transformation. There is a lack of predictability associated with the use of big data and analytics technologies inside a company (Barton & Court, 2014). Most managers feel that this method might not achieve the goals they desire. The executives are sceptical about the strategy because of three main concerns. Executives’ attitudes towards this strategy are affected by their fear that the data sourcing procedures will not be trustworthy, and may produce inconsistent results. Additionally, it is essential to examine the model-building procedure (Barton & Court, 2014). Inexperienced executives may face difficulties when it comes creating an evaluation and segmentation strategy for big data. This presentation ends with an overview of organizational transformation. Big data and analytics can help achieve the organizational result and status desired.
Institutions will learn valuable lessons from this paper in order to address the issues raised. Unsecuring the integrity and consistency in data obtained is one of the key lessons. Big data and other analytics technologies are dependent upon the input data. Data quality is crucial for solving a wide range of problems. Therefore, leaders must make sure that their data are reliable and innovating. A second important realization is the role of big data analytics and information technology. To achieve their goals, successful businesses have heavily relied on information technology and communications systems.
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