Remove the obstacles to analytics on customer data
Cloud is the new normal for enterprise IT. However, companies are at various stages of their cloud adoption, transforming their IT environment into hybrid or multi-cloud. Businesses are increasingly shifting their workloads and sensitive data into the cloud, and this trend shows no sign of slowing down.
The use of cloud-native technologies will be pervasive, not just popular.
“85% of organizations will embrace a cloud-first principle by 2025 and will not be able to fully execute their digital strategies without using cloud-native architectures and technologies.”
Why are companies shifting their IT environments to hybrid or multi-cloud?
Today’s business challenges pressure enterprises to be agile and flexible and serve customers in new markets. While these factors encourage enterprises to adopt the cloud across their entire business, the main driving factors are the cost and complexity of maintaining on-premises data center hardware and software. The cost-effectiveness, elasticity and large amounts of services provided by cloud solutions enable organizations to get more value from monetizing their rapidly expanding data volumes in these large-scale environments.
What are some of the main concerns of the shift to cloud and multi-cloud?
There is a multitude of concerns that organizations generally have with the cloud, such as loss of sensitive data (64%), improper configuration and security settings (51%), and unauthorized access (51%). When using multi-cloud, those top concerns change.
The following were more frequently rated as the top concern for organizations:
Availability of skills and experience
Architectural differences in each platform
Comprehensive governance
Source: Cloud Security Alliance (2022)
Reduce multi-cloud complexity by selecting the right cloud crypto & key management solution
Data security is rarely the first consideration for selecting a cloud service provider (CSP) or cloud data warehouse (CDW). But the emergence of strict data privacy regulations such as the CCPA, CPRA, and the GDPR, drive the need to address data protection and governance more effectively, specifically when using sensitive customer data in analytics.
How can Voltage remove the obstacles to analytics on your customer data?
Voltage for Cloud Analytics helps you reduce the risk of cloud adoption by securing sensitive data in cloud migration and safely enables user access and data sharing for analytics.
SecureData’s advanced format-preserving tokenization and encryption technologies allow the pseudonymization and anonymization of any structured data type across all languages at any scale required. Our technology also promotes data sharing and mobility without requiring the data to be unprotected and reprotected at each technology border crossing.
“On average, we on-board a new application into Voltage every other week. We encrypt data by default so that it is only ever exposed when really required. This gives us a much better risk and compliance position.”