Addressing Security, Quality and Governance of Big Data

Addressing Data Quality

Big Data is quickly being recognized as a valuable influencer of business strategy, able to improve productivity, streamline business processes, and reduce costs. However, not all data holds the same value and organizations need to take care to address the quality of the data they’re exploiting, while carefully managing security and governance concerns.

Data Quality

Blindly trusting business reports to be based on sound and quality information can lead not only to embarrassment but also business decline should the foundational data be found lacking. For this reason ensuring the data your organization employs in its analytics and reporting is of both relevant and high quality is of the utmost importance. While only using high-quality data is a sound principle, it is a case more easily said than done. Understanding where data originated, who has control and accountability for it, and precisely what the quality standards of your organization’s data should be, are significant tasks that must be undertaken. Moreover, while software exists which helps with data correction and error analysis, such tools only address part of the problem. To best meet the challenge of ensuring high-quality data, businesses need to implement a plan that helps identify quality issues, chase down the causes, and create problem resolution strategies.

Carol Newcomb, Senior Data Management Consultant at SAS, suggests a sustainable plan for managing data quality, warning that the process is not likely to be simple and including many steps such as the implementation of rules for collecting or creating data, data standardization and summarization rules, data integration rules with other sources of data, and hierarchy management.

Newcomb asserts that an effective, sustainable data quality plan should include the following five elements:

  • Elevate the visibility and importance of data quality.
  • Formalize decision making through a data governance program.
  • Document the data quality issues, business rules, standards and policies for data correction.
  • Clarify accountability for data quality.
  • Applaud your successes.

Considering reports from Gartner analysts that by 2017, one-third of the world’s largest companies will experience information crises due to an inability to adequately value, govern and trust their enterprise information, it’s crucial that businesses put data quality programs in place.

Data Regulations, Security & Privacy

The ITRC’s latest Data Breach Report points to 500 data breaches in the first half this year with more than 12 million records compromised. Such breaches expose Social Security numbers, medical records, financial information and more, putting individuals at risk. It’s no wonder privacy is such a concern as the mountains of data increase exponentially day by day. Though the ability to track customers and predict future behaviors is of great benefit to many companies, it’s a trade-off for most consumers as privacy is eclipsed by the convenience and assistance that data analysis and prediction provides. And although organizations such as Google promise data anonymization, it’s impossible to know how carefully our privacy is guarded, while the increasing popularity of the Internet of Things means our engagement with the internet and data collection is only escalating.

This extensive data does offer many noble assistance’s, not least of all patient monitoring for superior and prompt medical care, and real-time data utilization in classrooms ensuring education systems are functioning efficiently. And so perhaps data governance and regulation can help mitigate the risks without abandoning the rewards. States Scott Koegler of Big Data Forum, “Pulling actionable but protected data is key to developing advanced business practices while protecting customer identity.” A ‘Zero Trust Data’ policy is a potential solution wherein access to data is denied by default and always requires verification. In this way, data is made available to those legitimately requesting it, but information is correctly de-identified.

By designing efficient data management policies and properly adhering to regulations, companies are able to reap the benefits of Big Data without infringing on the privacy and security of individuals’ data. Furthermore, applying quality control systems to data collection and management enhances the value businesses draw from their data without needlessly breaching confidentiality. Ultimately, the time expended in data security, quality, and governance benefits the businesses who use it as well as the individuals and communities to whom it relates.

Article sponsored by SAS Software and Big Data Forum

By Jennifer Klostermann

Tunio Zafer

Questions To Ask Every Cloud Storage Provider

Cloud Storage Provider Questions As with many new technologies, attitudes toward cloud storage vary. Telephones were immobile; wearables perhaps unwarranted. And now, the global cloud ...
Sebastian Grady

ERP Software License versus Cloud ERP SaaS Subscription ─ Pros and Cons 

Software License versus SaaS Subscription Your software is an asset. Software vendors such as Oracle and SAP are pressing customers to replace existing enterprise applications ...
New York

From Y2K To NYC Parking Meters: Have We Learned Anything About Complacency In Cybersecurity?

Cybersecurity Complacency This past January – in what seems like a different world now – a story briefly hit the headlines and was seen as ...
Hamza Seqqat

The Benefits of Virtualizing SD-WAN and Security

Benefits of Virtualizing SD-WAN As more companies adopt SD-WAN technology to enhance the agility of their networking architecture, they must give strong consideration to how ...
It Speed

Choosing a New Cloud Provider? Let the Workload Be Your Guide

Improving IT efficiency, delivery, and cost structure There’s no question that customers are embracing cloud for all types of workloads. Whether the workloads are mission-critical, ...
Mark Banfield

A Seamless Customer Experience Is Essential to Success in Today’s Digital Economy

Implement A Seamless Customer Experience The need for digital interaction has never seemed more critical than it does today. As the coronavirus continues to spread, ...
The Report.png