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Instant Payments: A Global View , report contains an in-depth review of instant payment systems around the world, including analysis of the key systems currently in place, and their strengths and weaknesses.
Instant payment systems are becoming increasingly prevalent worldwide, as central banks and other national bodies react to the drastic increase in electronic payment volume that has taken place over the past decade. The instant payment aspect of these new systems is also derived from consumer demand for instant gratification, itself arising from the rapid development of access to information, products, and services on the internet.
Specifically the report:
-Defines the term instant payments as it applies to consumer/retail payments.
-Identifies the main features of instant payment systems and the consumer needs these serve.
-Analyzes the instant payment systems currently in place in key markets in Europe, Asia, Africa, and the Americas.
-Provides an in-depth analysis of the instant payment systems in place in the UK and Singapore, as well as the system being developed in Australia.
Using the powers of machine learning for automating data insights for enabling good visualizations of data to the end-user is defined as augmented analytics. Augmented analytics enables scientists and data analysts to formulate various strategies on different business aspects. Accessible augmented analytics creates citizen data scientists and improves accountability and empowerment. These solutions produce better decisions, more accurate business predictions and measurable analysis of product and service offerings, pricing, financials, production and other aspects of the business.
The rapid rates of increase in the volumes of data across sectors and business functions are driving the needs for machine-based analytics to be applied and augmented analytics market. Increasing implementations of artificial intelligence, machine learning, and natural language processing tools are anticipated to provide healthy opportunities to the players operating in the augmented analytics market.
Furiously rising competition, stringent regulatory environment and shifting customer loyalties are imposing huge pressure on the insurance companies to update their business model, efficiently enhance the processes and streamline operations. These imperatives have therefore resulted in a demand for analytics in the insurance industry. An insurance analytics solution provides analytical tools for the entire insurance value chain, which includes casualty and property, pension, life and annuity.
The rapidly maturing digital business infrastructure has dramatically changed the opportunities for the analytics solution developers. Today, the insurance businesses are preferring "made-to-fit" solutions rather than "one size fits all". In addition, the increasing cases of fraud in the industry have substantially increased the demand for analytics solution in the market, thus contributing to the growth of insurance analytics market.
The "Global Insurance Analytics Market Analysis to 2025" is a specialized and in-depth study of the industry with a focus on the global market trend. The report aims to provide an overview of the global market with detailed market segmentation by component, deployment model, enterprise and geography. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the market.