Data Privacy Acts from around the world

Data Privacy Acts from around the world
Since the introduction of GDPR, there has been a broadening and legislated clarification of data privacy and protection measures across the globe. If you store or manage customer data in your systems you should be familiar with the expectations around how and what you handle.

General Data Protection Regulation (GDPR)
The GDPR is a comprehensive data protection regulation in the European Union (EU) that sets strict standards for the collection, processing, and protection of personal data of EU residents. It applies to businesses operating within the EU and those outside the EU that process the data of EU residents.

California Consumer Privacy Act (CCPA)
The CCPA is a privacy law in California, USA, that grants consumers certain rights over their personal information. It requires businesses that collect and process the personal data of California residents to provide transparency, control, and security for that data.

Personal Information Protection and Electronic Documents Act (PIPEDA)
PIPEDA is Canada’s federal privacy law that governs how private sector organizations handle personal information. It applies to the collection, use, and disclosure of personal data in commercial activities.

Health Insurance Portability and Accountability Act (HIPAA)
HIPAA is a US federal law that focuses on the privacy and security of medical information. It mandates safeguards to protect patients’ medical records and other health-related information.

Personal Data Protection Act (PDPA)
Singapore’s PDPA regulates the collection, use, and disclosure of personal data by organizations. It aims to balance individuals’ right to privacy with the need for organizations to collect and use data for legitimate purposes.

Privacy Act of 1974 (USA)
This US federal law governs the collection, use, and disclosure of personal information by federal agencies. It provides individuals with certain rights regarding access to and correction of their records.

Australian Privacy Principles (APPs)
The APPs are a set of privacy principles under the Privacy Act 1988 in Australia. They regulate the handling of personal information by Australian government agencies and businesses.

Personal Information Protection Law (PIPL)
China’s PIPL is a comprehensive privacy law that focuses on the protection of personal data. It includes provisions for data processing, cross-border transfers, and individual rights.

Data Protection Act 2018 (DPA 2018)
The UK’s DPA 2018 supplements the GDPR and provides specific provisions for how data protection is implemented in the UK after its departure from the EU.

Kenya Data Protection Act (2019)
Kenya’s data protection law governs the processing of personal data in Kenya. It outlines data protection principles, individual rights, and obligations for data controllers and processors.

Personal Data Protection Law (PDPL)
The PDPL is South Korea’s data protection law that aims to protect personal data while enabling its effective use. It regulates data processing by both private and public entities.

Brazilian General Data Protection Law (LGPD)
LGPD is Brazil’s comprehensive data protection law that governs the processing of personal data. It provides guidelines for collecting, using, and transferring data while respecting individuals’ rights.

Find out how Pretectum CMDM can be of assistance in ensuring you keep your consumer data compliant.

Compliance
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Growing Customer Lifetime Value with data

CLV and in turn, the profitability of each customer leads to measures of value that will be different for different customer groups. The identification of efficiency in the way the value is produced helps to direct an organization’s efforts.  This in turn leads to the refinement of the exact kinds of customers and business partners that your organization wants to expend effort and energy on. The profitability of the customer is the revenue derived from that customer less the costs of identifying, securing, retaining, and growing them. The same approach needs to be used for campaigns. The more compelling the proposition with the greatest possible efficiency, the highest potential profit can be secured per customer.

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Your customer data in the cloud

Cloud solutions like the Pretectum CMDM applications are housed in data centers that are secured with access controls, surveillance, and other physical security measures; we make use of the some of the best in class implement network security measures, such as firewalls and data encryption to protect your customer data as it is transmitted over the internet. This data is encrypted both at rest and in transit, to protect it from unauthorized access.

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Taking air travel and loyalty to new heights

By analyzing customer data, airlines can gain insights into customer behavior, preferences, and purchasing habits. This data can be used to personalize offers and rewards to customers, which can help to increase loyalty and encourage repeat business. For example, if an airline knows that a customer frequently travels to a particular destination for business, they may offer that customer bonus points for booking a flight to that destination.

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Customer master data management – the data types

Depending on the nature of your business and the relationship that you have with your customers you may have several different types of customer master data that you choose to manage and maintain. There are other types of customer data that you may need to manage too, data types that you don’t necessarily always think of as master data but which may benefit from being stored and retrieved centrally as required.

Pretectum’s CMDM is able to support you in leveraging all of these different ways of deciding what to store and what the criteria are around the values that you might store, qualitative, quantitative, declared or inferred. All types of data are supported in a highly configurable way according to your specific business needs.

If you’re wondering whether you can achieve a particular outcome in your use of the Pretectum master data management system to improve sales, support a particular initiative or simply provide your customers with a great personalized customer experience, reach out to us and we’ll tell you what you need to know about how the system can help.

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10 Customer Data Roles in Customer Relationship Management

Customer data plays a crucial role in customer relationship management as it provides valuable insights into customer behavior, preferences, and interactions with your organization.

Having accurate and up-to-date customer data can help your organization better understand consumers and provide personalized experiences that foster loyalty and improve satisfaction and confidence in your products or services.

Harvard Business Review contributor and business expert Barbara Bund Jackson has found this is very valuable through her research.

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What is customer MDM?

Customer Master Data Management (CMDM) is a process and technology used by organizations to ensure that customer data is accurate, consistent, and up-to-date across all systems and applications.

CMDM aims to provide a single source of truth for customer information by creating a centralized repository of customer data and managing the quality, governance, and integration of this data across the enterprise.

Customer Master Data Management helps organizations to improve customer experience, reduce data duplication and errors, enhance data security and privacy, and support informed business decisions by providing a comprehensive view of customer information.

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Customer Master Data Management is strategic

Putting a price on data is a tough task to perform if your business is not “in the business” of selling data. The real question though, is does your organization recognize its arguably most valuable data asset – customer master data, as a valuable resource? The true value of that data more than likely hides in how you use it.

Customer data holds enormous economic potential if managed well and appropriately leveraged. The challenge though is that many companies struggle with proper handling and syndication of their data. Further, they don’t think about their customer data strategically. They don’t take what they have and convert the data that is in hand, into actionable information. Worse, they may not be managing their customer data in any meaningful way, they may have data all over the place in systems, spreadsheets and even email.

By implementing some data management best practices around customer data, these same businesses could be thinking more strategically especially if they are ensuring that their data is accurate and aligned with their business objectives.

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Is your data of good enough quality for Customer MDM?

Customer data management (CDM) is one of the most important aspects of customer experience management. It helps companies get to know their customers, understand their preferences and needs, and deliver personalized services and experiences that keep customers happy and loyal. A key element of CDM is data quality.

Data quality refers to how accurately your company’s information about its customers reflects reality. If you don’t have good-quality customer data, your efforts will be wasted on inaccurate information about those customers—including ones who can’t be found when they need help with a problem or question!

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Is it time to get phygital?

Is it time to get phygital?
The rise of the phygital customer

The customer journey is now a hybrid one. The experience for the customer is now hybrid too. The way customers interact with brands and products has changed, but to what extent? For many companies, there simply isn’t enough bandwidth to figure out whether they should invest in a wholly physical or digital strategy. Perhaps it isn’t necessarily a choice between these, but more of a phygital strategy that is required.

So here’s the question: when it comes to building your brand and creating experiences for your customers, do you need to be thinking about how you can create an experience that combines the best of both worlds (the physical and the digital)?

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