5 Ways Big Data Analytics Power Productivity & Profits Businesses with big data initiatives see big benefits


Blog#2 :  5 Ways Big Data Analytics Power Productivity & Profits  Businesses with big data initiatives see big benefits
Name : Aileen 蔣慧玲
Student ID : D0726917

5 Benefits of Business Data Analysis
1.       Data powers continual performance improvements
Business Data Analysis can improve management and help employees be aware of their work habits. It can be a resource that can provide improvements continuously to collect a better data.
2.       Data encourages well-informed decision-making
Business Data Analysis can back up decisions with evidence. This analytics engines will become more helpful because they will get smarter as they absorb a company’s outcomes and connect them to the collected data.
3.       Data enables smarter hiring choices
This kind of algorithms can help managers make hiring decisions by predicting the potential employees. It can also contribute more effective training methods and produce insights to improve the company’s performance. This will lead to an improvement in customer service and increase cost savings.
4.       Data delivers a competitive advantage
Data and analytics is a part of modern workplace. According to Bain & Company survey of more than 400 large businesses, it was found that organizations that have the most advanced analytics capabilities shows a better performance compared to the other businesses in the industry. Not only financial performance, but also faster in making decisions.

5.       Data drives revenue gains
Almost every business has one goal in common, it is increasing profits. University of Texas study use data sets from Fortune 1000 companies to analyze the impact data has on key business performance metrics.  The results showed that making even very small improvements to existing data can gain big benefits.
Some of the study revealed that the average Fortune 1000 company could:
·         Increase its revenue by more than $2 billion a year by increasing data usability by just 10%
·         Increase return on equity by 16% by increasing both the quality of data and the ability of salespeople to access it by just 10%
·         Increase return on investment by 0.7% (which equates to $2.87 million of additional income) by increasing both the intelligence and accessibility of data by just 10%

In conclusion, Big Data Analysis can also be used in the business field. It is important for us to learn how to use Big Data Analysis in our company. Using this analytics engines can help us improve our performance and work to be more efficient and effective. Therefore, reducing costs while increasing services and profits can be achieved.

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