Deloitte Enterprise Risk: Issue 7
Big data - Treasure bowl or Garbage heap?
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Published: November 2013
This issue of Deloitte Enterprise Risk focuses on big data issues, discussing in the computer age of information explosion, how corporations could prevent potential risks and improve decision-making capacity, management level and business performance by collecting, analyzing and forecasting the big data. In addition, Deloitte experts introduce the development trends and outlook of the insurance industry, as well as Chinese carbon market and enterprise carbon management.
- Win by data analysis – another unattainable myth?
In recent years, the barriers of territory, law, market and technology have been weakened gradually. Many business owners begin to attach importance to the management areas. They also use advanced management theories and tools, such as business intelligence and data analysis, to achieve the long-term development of the corporation. This article introduces the application and development of data analysis in various industries including sports, retail, aviation and transportation, government, finance and insurance, as well as key success factors for business decision making through data analysis.
- Quantitative risk analysis - assisting investment decisions
In order to effectively control the risk of investment projects and increase the scientificity of enterprise project investment decisions, the State-owned Assets Supervision and Administration Commission and relevant State ministries have promulgated a series of regulations and norms, making certain requirements for quantitative analysis of corporate investment projects. Based on these regulations and norms, this article introduces the meaning, the goals and ideas of quantitative risk analysis, as well as the application of quantitative risk analysis via examples.
- Data analysis in China's online game industry projects
Market share, sales revenue, market size, as well as listing and audit requirements of China's online game market keep increasing. In this article, Deloitte data analysis experts explain how to use data analysis to audit relevant businesses in online game industry.
- Prevent potential enterprise risk via trajectory data analysis
Based on Taiwan's Personal Data Protection Law and Trade Secrets Act, this article indicates via examples that corporations could keep compliance records, restore the original appearance of infringements and conduct prior warning for abnormal behaviors by establishing risk models of audit trajectory data. Meanwhile, this article provides direction and suggestions for the establishment of trajectory data risk model.
- Establish and validate the automobile salvage value prediction model
In recent years, both Chinese used car market and car rental industry have been developing rapidly. This article introduces the automobile salvage value prediction model, which is closely related to price fixing of these industries, and explains the five steps to establish and validate the model, which are used car industry analysis, data collection and cleanup, establishment of automobile salvage value prediction model, model validation and model maintenance.
Multivariate perspective from Deloitte experts
- Top 10 trends and outlook in China's insurance industry 2013 (II)
Insurance industry experts from Deloitte analyze the top 10 development trends and outlook for insurance industry in 2013. This article continues the topic in the last issue, explaining the remaining six trends.
- Chinese carbon market and enterprise low carbon management
In recent years, the Chinese government's determination and efforts in reducing carbon emissions continue to increase. The Outline of the 12th Five-Year Plan requires reducing carbon dioxide emissions per unit of GDP by 17% during the 12th five-year. In this article, Deloitte carbon emission experts introduce China’s carbon emission reduction policies, China's carbon emissions trading system and enterprise low carbon management issues, which include carbon inventory, carbon disclosure and the meanings and examples of enterprise low carbon management.
Internal control practices
Topics covered are as follows:
- Internal control practices (10) – Financial final account (I) Monomer final account