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How to Use Big Data Analytics and Risk Management in Business

CIO Insider Team

Enabling diverse forms of data creation, data integration with traditional data, emerging technologies are creating voluminous information for organizations. Be it a small or a large scale business, the determination to get valuable insights from procession and analyzation of big data are same.

By using big data strategically, big data applications can be the reason behind the improvement of risk profiles and tackling risks in gainful manner.

Though companies using big data this mannerism have not succeeded in gaining competitive edge. Most of the companies have failed to covert data to valuable insights.

These failures show how companies go through financial loss with loss in time. Some of the companies also claim that lost opportunities challenge ongoing business performance and slow down the growth. For making profitable business, a huge amount of data as assets needed to be viewed and let data practice in place for managing that well throughout the data lifecycle.

Data is the foundation which is important for efficient risk management and making context for data analysis. Once data is spotted, risk

analyzation must be done taking help appropriate technology that is capable of tackling large data sets. Latest risk management tools perform on-time insights and advance regulators expectations.

This is digital era, where big data is changing business landscape and risk management.

How Big Data Can Evolve in Risk Management in Digital Era?

1. Locating Upcoming Trends and Risk Factors – The exact advantage big data offers is on upcoming and ongoing trends between consumers. After statistical analysis, new-age companies can construct detailed business plans. The renowned companies can find shifts in user patterns prior taking the risk of directing business in other directions. The statistical data can locate factors responsible for contributing to the consumer defection and help in reducing high churn rates.

2. Calculating Potential Business Paths – When creating a new brick and mortar business, it is important to set a physical location and it is a most important decision. In the earlier days, most businesses relied on hit and trial method. Though with the emergence of big data, companies are now able to analyze key demographics to set their businesses. Digital age has been a blessing to them. Knowing where to set the business, what the target market is, and the local trading methodologies, it becomes easy to take decisions.

3. Determining Other Risks – It is obvious that data in digital era has given rise to a list of risks that was not there previously. But it has also given more solutions than the risks it created. Companies that are relying more on financial and personal information, big data is making it possible for those to detect any fraud by analyzing risks. Detecting improper behavior and discrepancies is also being done. Now, businesses are free of any waste in manpower and time.

4. Analyzing Financial Problems – Most of the companies are in search of risk management over financial institutions. Hence, big data is giving the statistics to these organizations and creating awareness on financial risks like credit card fraud, market risk and asset-liability. Using predictive modeling and developing risk-free services rested on analytics, financial organizations are able to maintain businesses smoothly. Also, improving customer satisfaction.
At present, big data has been able to give more opportunities to consumers than any other time.

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