Data Governance Services
Data Governance Services
Data Governance Best Practices
The best practices for customer data security revolve around valuable insights on enterprise data governance and loss prevention. The recommendations are relevant to all enterprises, irrespective of size. These practices help businesses develop data protection strategies that minimize risk to consumers, partners, and stakeholders while increasing brand value and protection.
As part of the practices of our data governance program, privacy protection plans and efforts should include broader transparency measures. It should consist of more detailed reports, starting from the leaders of the organizations to the juniors. It is important to note that data stewardship no longer becomes siloed.
Our governance and data practices and digital transformation endeavors can also prove to be a competitive edge as your venture grows. Modern organizations and strategic decision making runs on enterprise data, so with appropriate utilization of data and business intelligence, you’ll stay ahead of your competitors.
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Successful Use Case
Establish End-to-End Privacy Management Process to Keep Pace with CCPA Privacy Regulations
From flexibility to scalability to efficiency, this client is America’s largest specialty mattress retailer and has scaled with our Data Governance solutions. Establishing a process to capture and process DSAR requests, automate assessments and develop incident response plans were a few challenges listed. With the discovery and carefully crafting a strategy, Royal Cyber implemented OneTrust — Privacy Management Software to establish end-to-end CCPA compliance processes. The client now has clear visibility on PI Data’s data lineage, End to End Privacy Management Process, and gained more benefits on the investment.
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From Our Blog
Over 91% of CEOs and business owners state that business transformation is one of the biggest drivers for investing in big data. However, with significant investment, potential, and usage, comes great concerns for security measures.
Poor data quality costs the US economy a loss of $3.1 trillion each year, and the big data industry is reaching a worth of $103 billion by 2023. How does the rising demand affect the two most popular options for storing big data? Data lake and data warehouse.
Organizations incur thousands of dollars in losses each year due to failed data-based initiatives. Although several factors are to blame, poorly constructed and executed data governance strategies are often cited as significant contributors.
From data quality and lineage to siloed and duplication issues, retail businesses find it hard to identify, map, and correlate all their data assets to respective customers.