In the era of big data era, Kodak Kodak competes for the blue ocean of finance
In recent years, financial technology has developed rapidly, information technology has been continuously replaced, and financial industry informationization is a major strategic move that affects the long-term development of financial enterprises.
In the era of big data era, Kodak Kodak competes for the blue ocean of finance
Due to the special nature of the industry, a large number of forms and instruments have legal effects and need to be kept for a few years or even longer. Therefore, how to safely and effectively scan, store and manage massive documents is particularly important. Through efficient collection and artificial intelligence solutions, Kodak has not only solved the bottleneck problem of data electronicization for financial institutions, but also cleaned up the worries of information security and escorted the linkage effect of big data.
According to a survey conducted by PricewaterhouseCoopers in the financial sector in 2015, 70% of the chief audit executives, corporate executives and board members surveyed believe that business risks are increasing, especially the potential of information security and information integration. risk. Twenty-seven percent of financial institutions are planning to increase their investment in technology to address information risks in order to prevent data breaches, including building a secure and effective enterprise content management system (ECM). Efficient ECM systems help financial institutions collect data electronically, add data to index and archive, design secure and reliable mobile terminals, and encrypt data to prevent leaks.
The types of documents scanned by the financial industry are numerous and complex, including customer data, various types of bills, transaction bills, business receipts, and approval forms. In building a productive ECM system, Kodak has played a key role. The Kodak Info Input solution is a web-based mobile acquisition application that provides high-speed scanning, real-time image display, indexing, and barcode detection for moving documents and indexing information at any time. Financial institutions embed Info Input solutions into business processes, using distributed acquisition scanning and classification, and finally achieving centralized management and monitoring of data. Emma Isichei, global product director for Kodak's collection solutions, said, “Although paperless office is the future, there is still a lot of data on paper, so electronically turning paper data is the first step towards success. step."
Secrecy of customer information is the most basic professional ethics in the financial industry. Ensuring privacy security is the primary key to device considerations. The Kodak Scanner has a new generation of cloud computing acquisition technology, and data acquisition is seamlessly connected via Wi-Fi for a variety of different devices. The traceability of information collection is convenient for users to verify the correctness of scanned documents, and it is also convenient for the future financial audit of enterprises, and effectively ensure the security of enterprise information. In addition, the Kodak Scanner uses non-permanent memory and has a “smart storage†function. Once the data is safely uploaded to the database, it can be permanently erased without leaving any traces. IT administrators can also set security levels and disable wireless and mobile applications when necessary to create more efficient and secure management.
In addition to improving internal auditing and management, efficient data collection also helps financial institutions improve the speed and process of service response, improve customer experience in all aspects, increase loyalty, and further drive business sales growth. As far as the insurance industry is concerned, the competition for Red Sea is not limited to the provision of customized insurance products. The efficiency of process such as underwriting speed and claims payment is becoming the focus of policyholders. Kodak's information technology has changed the insurance company's previous work patterns. Today, a large number of databases help insurance brokers quickly and efficiently collect and communicate customer information, increase productivity, and strengthen contact with potential policyholders.
In addition, massive data can also be used to analyze customer insured demand and product preferences, so that insurance companies can recommend suitable insurance products for policyholders in time to seize potential business opportunities. Thanks to the benefits of big data analysis, insurers can refer to real-time data as an evaluation criterion, optimize claims assessment, and improve fraud prevention.
In the era of big data era, Kodak Kodak competes for the blue ocean of finance
Due to the special nature of the industry, a large number of forms and instruments have legal effects and need to be kept for a few years or even longer. Therefore, how to safely and effectively scan, store and manage massive documents is particularly important. Through efficient collection and artificial intelligence solutions, Kodak has not only solved the bottleneck problem of data electronicization for financial institutions, but also cleaned up the worries of information security and escorted the linkage effect of big data.
According to a survey conducted by PricewaterhouseCoopers in the financial sector in 2015, 70% of the chief audit executives, corporate executives and board members surveyed believe that business risks are increasing, especially the potential of information security and information integration. risk. Twenty-seven percent of financial institutions are planning to increase their investment in technology to address information risks in order to prevent data breaches, including building a secure and effective enterprise content management system (ECM). Efficient ECM systems help financial institutions collect data electronically, add data to index and archive, design secure and reliable mobile terminals, and encrypt data to prevent leaks.
Secrecy of customer information is the most basic professional ethics in the financial industry. Ensuring privacy security is the primary key to device considerations. The Kodak Scanner has a new generation of cloud computing acquisition technology, and data acquisition is seamlessly connected via Wi-Fi for a variety of different devices. The traceability of information collection is convenient for users to verify the correctness of scanned documents, and it is also convenient for the future financial audit of enterprises, and effectively ensure the security of enterprise information. In addition, the Kodak Scanner uses non-permanent memory and has a “smart storage†function. Once the data is safely uploaded to the database, it can be permanently erased without leaving any traces. IT administrators can also set security levels and disable wireless and mobile applications when necessary to create more efficient and secure management.
In addition to improving internal auditing and management, efficient data collection also helps financial institutions improve the speed and process of service response, improve customer experience in all aspects, increase loyalty, and further drive business sales growth. As far as the insurance industry is concerned, the competition for Red Sea is not limited to the provision of customized insurance products. The efficiency of process such as underwriting speed and claims payment is becoming the focus of policyholders. Kodak's information technology has changed the insurance company's previous work patterns. Today, a large number of databases help insurance brokers quickly and efficiently collect and communicate customer information, increase productivity, and strengthen contact with potential policyholders.
In addition, massive data can also be used to analyze customer insured demand and product preferences, so that insurance companies can recommend suitable insurance products for policyholders in time to seize potential business opportunities. Thanks to the benefits of big data analysis, insurers can refer to real-time data as an evaluation criterion, optimize claims assessment, and improve fraud prevention.
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