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ProvidusBank, Mastercard, others initiate contactless Tap-to-Pay transactions via smart devices in Nigeria

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Fintech companies trying to drive the growth of digital payments in Nigeria, ProvidusBank together with Mastercard, Interswitch, and Thales Group, today announced the introduction of a new Tap-to-Pay service. The service allows cardholders to make fast, secure, and convenient in-store payments by tapping their NFC-enabled smart device at any contactless-enabled payment terminal.

The solution works by enabling a connected device such as a smartphone or wearable device to act as a safe and secure payment method in the same way as a physical card.

Leveraging Mastercard’s Digital Enablement Service (MDES), and Interswitch’s tokenization capability, ProvidusBank customers can enjoy a new level of convenience, no longer needing a card or a physical wallet during shopping trips.

For each transaction, Mastercard’s tokenization and digitization technology replace primary account numbers (PANs) with tokens to provide a faster, more secure, and seamless checkout experience while rendering card numbers useless to fraudsters.

 “Technology has evolved greatly in Sub-Saharan Africa in the last decade with mobile phone technology playing a significant role in that space. As a Bank, our collaboration with Mastercard and Interswitch to provide additional value through the mobile device is a strategy to leverage existing infrastructure, while delivering simplified payment through their advanced digital and tokenization services,” said Walter Akpani, Managing Director/CEO, ProvidusBank.

All Mastercard transactions are made with industry-standard EMV-level security and are protected using standards-based payment tokens.

“The convergence of physical and digital commerce is not in the future, it’s happening now. At Mastercard, we understand that consumers want to make digital payments when, where, and how they want, with the same protection and security offered with a physical card,” says Ebehijie Momoh, Country Manager & Area Business Head, West Africa at Mastercard. “As a pioneer of mobile commerce innovation, we are excited to work with ProvidusBank to deliver a new payment experience that is both seamless and secure, in turn speeding the adoption of digital payments in Nigeria.”

Akeem Lawal, Managing Director, Interswitch Purepay also commented on the collaboration. According to him: “With the increasing adoption of digital payments, there has been the corresponding need for players in the payments ecosystem to heighten the safety and security of payment platforms and channels. This notion is the underpinning rationale behind Interswitch’s collaboration with Providus Bank, Thales Group, and Mastercard to deliver the tokenization technology, providing an added security layer and ensuring safer and more seamless payment transactions. At Interswitch, we continue to leverage key partnerships that push the boundaries of innovation.”

To use the service, customers need to first digitize their card as a once-off set-up by following instructions in their banking app. Once the card credentials are provisioned to a mobile device, a cardholder can tap to pay simply by opening their banking app, selecting NFC payments, tapping their phone at the Point of Sale, and entering their PIN to complete the transaction. They can also make safe and seamless in-app and e-commerce payments.

Speaking in the same vein, Nassir Ghrous, VP of Sales Banking and Payments Services at Thales Group, a global leader in advanced technologies said: “We are excited to bring our digital security expertise to bear in developing the tokenization solution with innovators such as Interswitch, Providus Bank and Mastercard, to enhance the payment ecosystem in Nigeria. With EMV tokenization, the consumer’s actual 16-digit card number is protected from being exposed online during the transaction. The solution also allows Providus cardholders to benefit from contactless payment via their mobile devices, enjoying a full, easy, and convenient ‘Digital Journey.”

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About Mastercard (NYSE: MA)

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. www.mastercard.com

Mastercard Contact: Birgit.Deibele@mastercard.com

About Providus 

ProvidusBank is licensed by the Central Bank of Nigeria as a commercial bank authorized to provide banking services to individuals and businesses. ProvidusBank has a strong IT infrastructure and digital channels, which we deploy to provide exceptional service to our customers so that they can achieve their personal and business objectives.

At ProvidusBank, we believe that the New World of fast, smart, personal, and borderless banking relationships is here. We are therefore inspired by our Future Forward Banking ethos to make life (at work and leisure) more exciting for our partners with the use of cutting-edge technology that delivers best-in-class customer satisfaction.

Learn more at: www.providusbank.com

ProvidusBank Contact: divwurie@providusbank.com 

About Interswitch 

Interswitch is a leading technology-driven company focused on the digitization of payments in Nigeria and other countries in Africa. Founded in 2002, Interswitch disrupted the traditional cash-based payments value chain in Nigeria by supporting the introduction of electronic payment processing and switching services.

Today, Interswitch is a leading player with critical mass in Nigeria’s developing financial ecosystem and is active across the payments value chain, providing a full suite of omnichannel payment solutions. Interswitch’s vision is that of a prosperous Africa, driven by a seamless exchange of value and commerce and its mission is to create technology solutions that connect and empower individuals, businesses, and communities. Interswitch’s broad network and robust payments platform have been instrumental to the development of the Nigerian payments ecosystem and provide Interswitch with the infrastructure to expand across Africa.

Learn more at: www.interswitchgroup.com
Media Inquiries – gmcc@interswitchgroup.com 

About Thales Group

Thales (Euronext Paris: HO) is a global leader in advanced technologies, investing in digital and “deep tech” innovations – connectivity, big data, artificial intelligence, cybersecurity, and quantum technologies – to build a confident future crucial for the development of our societies. The Group provides its customers – businesses, organizations, and governments – in the defense, aeronautics, space, transport, and digital identity and security domains with solutions, services and products that help them fulfill their critical role, consideration for the individual being the driving force behind all decisions.

Thales has 81,000 employees in 68 countries. In 2021, the Group generated sales of €16.2 billion

Technology

Overview of big data use cases and industry verticals

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Big data refers to extremely large and complex data sets that are too big to be processed using traditional data processing tools. Big data has several use cases across various industry verticals such as:

  1. Healthcare: Predictive maintenance, personalized medicine, clinical trial analysis, and patient data management
  2. Retail: Customer behavior analysis, product recommendations, supply chain optimization, and fraud detection
  3. Finance: Risk management, fraud detection, customer behavior analysis, and algorithmic trading
  4. Manufacturing: Predictive maintenance, supply chain optimization, quality control, and demand forecasting
  5. Telecommunications: Network optimization, customer behavior analysis, fraud detection, and network security
  6. Energy: Predictive maintenance, energy consumption analysis, and demand forecasting
  7. Transportation: Logistics optimization, predictive maintenance, and route optimization.

These are just a few examples, big data has applications in almost all industry verticals, and its importance continues to grow as organizations seek to gain insights from their data to drive their business outcomes.

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Data Warehousing and Data Management Cost Optimization

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Data Warehousing and Data Management Cost Optimization

In this article, we will discuss the key aspects of data warehousing and management cost optimization and best practices established through studies.

Data warehousing and management is a crucial aspect of any organization, as it helps to store, manage, and analyze vast amounts of data generated every day. With the exponential growth of data, it has become imperative to implement cost-effective solutions for data warehousing and management.

Understanding Data Warehousing and Management

Data warehousing is a process of collecting, storing, and analyzing large amounts of data from multiple sources to support business decision-making. The data stored in the warehouse is organized and optimized to allow for fast querying and analysis. On the other hand, data management involves the processes and policies used to ensure the data stored in the warehouse is accurate, consistent, and accessible.

Why is Cost Optimization Important?

Data warehousing and management costs can add up quickly, making it essential to optimize costs. Implementing cost-optimization strategies not only reduces financial burden but also ensures that the data warehousing and management system remains efficient and effective.

Cost optimization is important for data warehousing and management for several reasons:

Financial Benefits: Data warehousing and management can be expensive, and cost optimization strategies can help reduce these costs, thereby increasing the overall financial efficiency of the organization.

Improved Performance: Cost optimization strategies, such as data compression, data archiving, and data indexing, can help improve the performance of the data warehousing and management system, thereby reducing the time and effort required to manage the data.

Scalability: Implementing cost-optimization strategies can help to scale the data warehousing and management system to accommodate increasing amounts of data, without incurring significant additional costs.

Improved Data Quality: By implementing cost-optimization strategies, such as data de-duplication and data partitioning, the quality of the data stored in the warehouse can be improved, which can lead to better decision-making.

Overall, cost optimization is important for data warehousing and management as it helps to reduce costs, improve performance, and maintain the quality of the data stored in the warehouse.

Established Cost Optimization Strategies

Scalable Infrastructure: It is important to implement a scalable infrastructure that can handle increasing amounts of data without incurring significant costs. This can be achieved through cloud computing solutions or using a combination of on-premises and cloud-based solutions.

Data Compression: Data compression can significantly reduce the amount of storage required for data, thus reducing costs. There are various compression techniques available, including lossless and lossy compression, which can be used depending on the type of data being stored.

Data Archiving: Data archiving is the process of moving data that is no longer actively used to cheaper storage options. This helps to reduce the cost of storing data while ensuring that the data remains accessible.

Data de-duplication identifies and removes duplicate data from the warehouse. This helps to reduce storage costs and improve the overall performance of the data warehousing system. Data de-duplication is a cost optimization strategy for data warehousing and management that focuses on identifying and removing duplicate data from the warehouse. This is important for several reasons:

Reduced Storage Costs: Duplicate data takes up valuable storage space, which can be expensive. By removing duplicates, the storage requirements for the data warehouse can be reduced, thereby reducing storage costs.

Improved Data Quality: Duplicate data can lead to confusion and errors in decision-making, as it may not be clear which version of the data is accurate. By removing duplicates, the quality of the data stored in the warehouse can be improved, which can lead to better decision-making.

Improved Performance: The presence of duplicate data can slow down the performance of the data warehousing system, as it takes longer to search for and retrieve the desired data. By removing duplicates, the performance of the data warehousing system can be improved, reducing the time and effort required to manage the data.

Increased Security: Duplicate data can pose a security risk, as it may contain sensitive information that can be accessed by unauthorized individuals. By removing duplicates, the security of the data stored in the warehouse can be increased.

Overall, data de-duplication is an important cost optimization strategy for data warehousing and management, as it helps to reduce storage costs, improve data quality, improve performance, and increase security. It is important to implement an effective data de-duplication solution to ensure the success of this strategy.

Data Partitioning: Data partitioning involves dividing the data into smaller, manageable chunks, making it easier to manage and analyze. This helps to reduce the cost of storing and processing large amounts of data.

Data Indexing: Data indexing is the process of creating an index of the data stored in the warehouse to allow for fast querying and analysis. This helps to improve the performance of the data warehousing system while reducing costs.

Automation: Automating data warehousing and management processes can significantly reduce the cost and effort required to manage the data. This includes automating data extraction, transformation, loading, and backup processes.

Conclusion

In conclusion, data warehousing and management cost optimization is a crucial aspect of any organization. Implementing cost-optimization strategies, such as scalable infrastructure, data compression, data archiving, data de-duplication, data partitioning, data indexing, and automation, can significantly reduce the cost of data warehousing and management while ensuring that the system remains efficient and effective.

It is important to keep in mind that the specific cost-optimization strategies used will depend on the unique needs and requirements of each organization.

 

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Overview of big data security and privacy

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Big data security and privacy are crucial considerations in the era of large-scale data collection and analysis. The security of big data refers to the measures taken to protect data from unauthorized access, theft, or damage. Privacy, on the other hand, refers to the protection of sensitive and personal information from being disclosed to unauthorized parties.

To ensure the security of big data, organizations adopt various measures such as encryption, access control, network security, data backup and recovery, and others. Additionally, they may also implement compliance with security standards and regulations such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA).

However, the increased use of cloud-based big data solutions and the rise of the Internet of Things (IoT) have brought new challenges to the security and privacy of big data. To mitigate these challenges, organizations are using technologies such as blockchain, homomorphic encryption, and differential privacy to provide stronger privacy and security guarantees.

In conclusion, big data security and privacy are crucial components of the big data landscape. Organizations must implement robust measures and technologies to protect sensitive and personal information, maintain the security of big data, and comply with relevant security regulations.

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