Project Deliverable 6

Data Analytics and Cloud Technology

The contemporary world we live in has witnessed many changes, primarily because of technological changes and evolution. Technological change has forced many businesses to refrain from traditional methods of operation and adopt new approaches that integrate technology into their systems and processes (Luftman et al., 2017). Business intelligence or the use of technology in businesses has led companies to stay at the top of the competition by becoming more productive. The new trend that many companies are integrating is known as Business data analytics or Big Data. Data and information are power, so the more information a company has on its target market, the more effective and competitive it becomes if it uses the data in the right way.

Big data can be referred to as a large or massive volume of information or data that a company has on its clients or the market at large, which can either be in a structured or unstructured form. Big data consists of information about the organization's day to day operations. The big data that a company acquires involves much information that cannot be handled by the traditional software as it is more sophisticated, complicated, and massive in volume (Lekhwar et al., 2019). Business data analysis or big data analytics involves analyzing the past and present data or information about an organization, enabling it to find similarities or trends that can predict the outcomes of specific actions. It also involves looking at the customer's patterns and preferences, which is used in decision making.

So if the company adopts the business data analytics and cloud technology, it will enable the business to thrive and attract more consumers. Through data analytics, the company will be able to make better decisions to impact the company positively. Also, through analytics, the company will know its customers' preferences, which will improve the customer experience (Olson & Wu, 2020). This type of business intelligence makes it easy for the company to control its operations and supply chain. If the data that the company has on its customers and the market are used effectively, it ensures that the business reduces losses and maximizes profits making it a fierce competitor in that field of marketing.

On the other hand, cloud technology is also a new technology that many businesses are getting into for efficiency and convenience. If the company adopts cloud technology, it will be beneficial as it makes the coordination of business operations smooth and also ensures the safety of the business data and information (Attaran & Woods, 2019). Cloud technology allows the company to store its information online, which means it can be accessed anytime from anywhere in the world, making it convenient. It makes the workflow smooth and reduces paperwork hence saving time and money for the company. So, the adoption of data analytics and cloud technology is beneficial for the company, and it should be adopted.

The workflow of the Relationship between Data Analytics and Cloud Technology

Client’s interface (enters their details and preferences)

The company’s interface (collects the client’s data)

Stores the data in the cloud (the data collected by the company is enormous and cannot be stored in physical form). The information can be retrieved and stored anytime from anywhere.

Formulation of the Big Data at the front end of the process

Data analytics (the company analysis the data at hand to find the trends and customer’s preference)

Makes decisions depending on the collected data or the results of the analysis

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Analytics, Interfaces, and Cloud Technology

Recommendation

For the company to ensure that the integration of the new business intelligence in its operations results in enhanced productivity, it is essential to ensure that all the data they have in place is secured. Also, ensure that the information is used appropriately for the benefit of the company. Cyber technology has many advantages, but on the other hand, if it is not handled right, it can be exposed to cyber threats and risks, which might affect the company. So the recommendation I have for the company is that when fully integrated with data analytics and cloud computing is adopted, there is a need to ensure enhanced cybersecurity. The cybersecurity will include firewalls, antimalware software, protocols, and authentication steps for accessing the system to prevent unauthorized access. With secure data, then the company can make decisions that will enhance its yields.

References

Attaran, M., & Woods, J. (2019). Cloud computing technology: improving small business performance using the Internet. Journal of Small Business & Entrepreneurship, 31(6), 495-519.

Lekhwar, S., Yadav, S., & Singh, A. (2019). Big Data Analytics in Retail. In Information and Communication Technology for Intelligent Systems (pp. 469-477). Springer, Singapore

Luftman, J., Lyytinen, K., & Zvi, T. B. (2017). Enhancing the measurement of information technology (IT) business alignment and its influence on company performance. Journal of Information Technology, 32(1), 26-46.

Olson, D. L., & Wu, D. (2020). Predictive models and big data. In Predictive Data Mining Models (pp. 123-125). Springer, Singapore.