Valuable Business Information Research Articles

Real-time analyzing of chatbot data with distributed systems

Chatbots are one of the most widely used technologies to implement virtual assistance. Presently, chatbot based virtual assistants are being used by many web administrators to mediate access to data and to carry out generic conversations with the users. Such virtual assistants are getting a lot of attention from the business organizations, as it can help in improving customer care support; reduce the costs in customer service centers and can handle multiple clients at a time. Big data analytics is the process of collecting, organizing and analysing large data sets to discover patterns and unknown correlations hidden in the data, such as usage statistics and customer preferences, which can serve as valuable business information. This paper describes the implementation of a chatbot framework with an interface to big data. This implementation would provide mass knowledge analysis capability to chatbots from distributed environments, which can further the spectrum of usage of such intelligent agents.

Cybersecurity and remote working: Croatia's (non-)response to increased cyber threats.

Coronavirus disease 19 (COVID-19) has influenced all aspects of life, and cybersecurity becomes more relevant than ever. The transition to remote information technology (IT) solutions has opened a plethora of possibilities for cyber incidents and attacks, with the most “popular” now apparently being phishing schemes and ransomware attacks. Remote working applications, such as file-sharing and collaboration tools, numerous personal devices accessing the network, higher email traffic, cloud solutions and similar COVID-19-influenced shifts in work organization might all lead to data breaches, as well as loss and theft of data, resulting in huge financial and reputational losses. In addition to losing valuable business information, money, and consumer confidence if cyber-attacked, companies are also under threat of General Data Protection Regulation (GDPR) fines if the cyber attack results in a personal data breach. It seems that many European countries have recognized cybersecurity as being crucial during the COVID-19 pandemic, while, unfortunately, Croatia has stayed completely silent on the pandemic-related cybersecurity hazards; it has simply left companies to figure out their own ways of reacting to the increased cyber threats, without even warning individuals.

Economic Performance of Forest Plantations in Vietnam: Eucalyptus, Acacia mangium, and Manglietia conifera

Forest plantations have expanded rapidly in response to financial support from the state and local governments and have had significant positive impacts on rural livelihoods and development in Vietnam, since the late 1980s. This study used net present value (NPV) and internal rate of return (IRR) to examine the economic performance of plantations for three species, Acacia mangium Willd, Eucalyptus (Eucalyptus urophylla S.T. Blake × Eucalyptus camaldulensis Dehn), and Manglietia conifera Dandy, in Bac Kan province. On the basis of an annual discount rate of 6%, the results showed that rural households earned positive financial returns from forest plantations with seven-year rotations. Eucalyptus generated the highest NPV but A. mangium generated the greatest IRR. The plantations were facilitated by financial support from the state, land tenure reforms, and wood exports. The results provide valuable business information and policy implications for both local farmers and policy makers. Since the farmers consider more of the short term and economic return of the plantations, the results provide valuable information for policy makers to apply subsidies and other support to promote plantations with significant ecological and environmental benefits for sustainable development of rural economies.

EMPOWERING CHATBOTS WITH BUSINESS INTELLIGENCE BY BIG DATA INTEGRATION

Chatbots are one of the most widely used technologies to implement virtual assistance. Presently, chatbot based virtual assistants are being used by many web administrators to mediate access to data and to carry out generic conversations with the users. Such virtual assistants are getting a lot of attention from the business organizations, as it can help in improving customer care support; reduce the costs in customer service centers and can handle multiple clients at a time. Big data analytics is the process of collecting, organizing and analysing large data sets to discover patterns and unknown correlations hidden in the data, such as usage statistics and customer preferences, which can serve as valuable business information. This paper describes the implementation of a chatbot framework with an interface to big data. This implementation would provide mass knowledge analysis capability to chatbots from distributed environments, which can further the spectrum of usage of such intelligent agents.

Application of Data Mining Technique in Business to Consumer Electronic Commerce

In B2C e-commerce activities, it is involving vast amounts of customer data information. Introducing data mining technology to the electronic commerce, it provides a large number of valuable business information to electronic business enterprise, enhances the core competition of the electronic commerce enterprise. This paper starts from the model of data mining, analyzes the steps of the data mining and puts forward the application of data mining technology in B2C e-commerce.

A Generalized Distributed Delegate Object Model for E-com and M-com Applications

There is a growing trend toward the usage of mobile computing for several applications, and it is important that the mobile systems are given adequate support at both system level and communication level. The main aim of the proposed distributed delegate object model is to reduce the round trip time (RTT) of huge number of transaction request in E-Com and M-Com applications. Delegate object is a shared object which acts as a place holder for all valuable mobile business information and updates business-related information to the customer automatically. In conventional model, all transaction requests are forwarded to the server directly, whereas in the proposed model, all the transaction requests are handled by delegate object itself which acts as a middleware component thereby reducing the RTT. The proposed model is simulated and tested in thin client and thick client test bed. The result shows improvement in RTT for both thin client and thick client environments.

Pull vs. Push: How OmniEarth Delivers Better Earth Observation Information to Subscribers

Abstract. Until very recently, the commercialization of Earth observation systems has largely occurred in two ways: either through the detuning of government satellites or the repurposing of NASA (or other science) data for commercial use. However, the convergence of cloud computing and low-cost satellites is enabling Earth observation companies to tailor observation data to specific markets. Now, underserved constituencies, such as agriculture and energy, can tap into Earth observation data that is provided at a cadence, resolution and cost that can have a real impact to their bottom line. To connect with these markets, OmniEarth fuses data from a variety of sources, synthesizes it into useful and valuable business information, and delivers it to customers via web or mobile interfaces. The “secret sauce” is no longer about having the highest resolution imagery, but rather it is about using that imagery – in conjunction with a number of other sources – to solve complex problems that require timely and contextual information about our dynamic and changing planet. OmniEarth improves subscribers’ ability to visualize the world around them by enhancing their ability to see, analyze, and react to change in real time through a solutions-as-a-service platform.

해쉬 체인 기반의 안전한 하둡 분산 파일 시스템 인증 프로토콜

모바일 대중화에 따른 소셜 미디어의 확산과 함께 다양한 형태의 데이터가 대량으로 생산되고 있다. 이에 따라 대규모 데이터 분석을 통해 가치 있는 비즈니스 정보를 얻고자 하는 기업들의 빅데이터 기술 도입 및 활용 또한 날로 증가하는 추세이다. 특히, 하둡은 테라바이트 단위의 파일 저장 능력과 저렴한 구축비용, 빠른 데이터 처리 속도로 가장 대표적인 빅데이터 기술로 손꼽힌다. 하지만 현재 하둡 분산 파일 시스템의 사용자 인증을 위한 인증 토큰 시스템은 토큰 재전송 공격, 데이터노드 해킹 공격에 취약하다. 이는 하둡 분산 파일 시스템 상에 저장된 기업 기밀 데이터 및 고객 개인 정보 등의 안전을 위협할 수 있다. 본 논문에서는 토큰 및 데이터노드가 공격자에게 노출되었을 때 발생 가능한 하둡 분산 파일 시스템의 보안 취약성을 분석하고, 해쉬 체인을 사용한 보다 안전한 하둡 분산 파일 시스템 인증 프로토콜을 제안한다. The various types of data are being created in large quantities resulting from the spread of social media and the mobile popularization. Many companies want to obtain valuable business information through the analysis of these large data. As a result, it is a trend to integrate the big data technologies into the company work. Especially, Hadoop is regarded as the most representative big data technology due to its terabytes of storage capacity, inexpensive construction cost, and fast data processing speed. However, the authentication token system of Hadoop Distributed File System(HDFS) for the user authentication is currently vulnerable to the replay attack and the datanode hacking attack. This can cause that the company secrets or the personal information of customers on HDFS are exposed. In this paper, we analyze the possible security threats to HDFS when tokens or datanodes are exposed to the attackers. Finally, we propose the secure authentication protocol in HDFS based on hash chain.

Sustaining accessibility of information through digital preservation: A literature review

Today valuable business, scientific and cultural information is created and stored digitally. However, the sustained availability and accessibility of digital information cannot be taken for granted as they are threatened by rapidly changing technologies and the associated risk of obsolete software and hardware. Digital preservation (DP) comprises methods and techniques geared towards securing long-term access to digital information. In this study we undertake a vital step to shed light on the area of DP by conducting a systematic literature review. We analysed 122 publications with respect to various aspects such as drivers, stakeholders or applied research methods. The findings point towards some unsolved organizational issues such as lacking methods to support cost–benefit analysis or DP decision-making. We thus propose a set of research questions based on our findings and suggest a research agenda.

Compliance

Compliance

Archive drive [business data storage

Businesses and government organisations are now beginning to recognise the importance of a secure long-term archival storage strategy for their valuable business information. A professional data archive that provides access to historic business information can slash development costs, reduce time to market and enable more competitive products and services. As the archived records are static, there is no reason to include them in periodic backups. Archived records can be placed outside the traditional backup cycles so that the backup operations can focus on protecting the active data that is changing on a frequent basis. Organisations can realise a tremendous gain by implementing a sound archival storage strategy.