Over a million developers have joined DZone.
{{announcement.body}}
{{announcement.title}}

How the Cloud and Big Data Change the Role of Risk Audits

DZone's Guide to

How the Cloud and Big Data Change the Role of Risk Audits

Financial services and auditors, who live and breathe data, are two industries that are most affected by the rise of big data analytics.

· Big Data Zone
Free Resource

Learn best practices according to DataOps. Download the free O'Reilly eBook on building a modern Big Data platform.

The role of auditors has been changing rapidly over the past decade. Big data is allowing them to make higher quality decisions. However, their job is also becoming more complicated, so future financial auditors will need a strong background in IT.

Big Data Presents New Opportunities for Auditors

The Cloud Security Alliance (CSA) was formed in 2010. Its goal is to educate industry leaders about cloud computing and big data. According to a recent CSA report, the financial industry has been heavily impacted by big data and cloud computing.

While many professionals in the financial industry utilize the cloud to do their job, auditors rely on it the most. Nearly 40% of all professionals that participated in the survey were employed as auditors. 

The financial industry has always been very data-centric. However, auditors in other sectors will leverage big data as well. Large healthcare providers will rely heavily on big data to identify ways to improve patient outcomes.

How Are Big Data and the Cloud Being Used to Improve Risk Analysis?

The Dodd Frank Wall Street Reform and Consumer Protection Act and other financial regulations focus almost exclusively on the risks incurred from financial transactions. This is partially due to the fact that auditors didn’t have other data to study before. These policies may be revised as auditors expand their actuarial duties.

Auditors can use big data to conduct new forms of risk analysis. Companies store massive amounts of data acquired from social media, email, texting, and mobile apps. Both internal and external auditors can use this information to understand some of the risk elements in the company.

They can provide better recommendations to address security threats and employee compliance risks. These issues include:

  • Assessing the risks of company BYOD policies
  • Monitoring the effectiveness of non-disclosure agreements (NDAs)
  • Identifying employees that may be violating company ethic’s policies
  • Analyzing causes of medical error in the healthcare profession to formulate new solutions (this is particularly important since the passage of the Patient Protection and Affordable Care Act, which penalizes healthcare providers with high patient readmission rates).

While big data enables brands to identify areas for improvement, it also enables regulatory auditors to assess compliance. Brands that violated protocols will need to address these problems to avoid future fines.

Microsoft, 3M, and other brand leaders are already incorporating big data in their risk management strategies. They expect big data will play an even more important role in the coming years.

Heightened Need for Data Security

Since internal and external auditors will be relying more extensively on big data, protecting data will be more important than ever. Brands will need to have the right security protocols in place to ensure the data isn’t compromised.

Auditors also must pay close attention to the applications employees use, because some of them may expose the firm to dangerous malware that could compromise security. Minecraft online is an example of a safe application, but others may need to be prohibited. You may only identify rogue applications during the auditing process.

Since big data will play an even more important role in audits in the future, auditors will also need to monitor data security. They will need to work with the company security officers to establish a set of security guidelines and make sure employees comply with them.

Find the perfect platform for a scalable self-service model to manage Big Data workloads in the Cloud. Download the free O'Reilly eBook to learn more.

Topics:
big data ,cloud ,risk analysis

Published at DZone with permission of Ryan Kh. See the original article here.

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}