This paper studied customer relationship management system with decision support. At present, the fitness studio management system has accumulated a large amount of customer data, but the studio still has problems in customer management such as inaccurate customer target positioning and imperfect customer relationship management functions. It is still unable to conduct intelligent analysis, resulting in a decline in the overall management ability of customer groups. As such, customer turnover is high, and customer loyalty is reduced. To solve such problems, this research constructed a customer relationship management system with decision support, which can be used to identify customers with high studio and high platform loyalty, and with repeated purchase of GT fitness studio. With the purpose of helping the studio achieve accurate customer relationship management and business decision management, this study built an intelligent customer cluster analysis system through K-means clustering algorithm, which can automatically cluster customers into four (4) categories, indicate the characteristics of consumer behavior under each category, and screen out high-quality fitness customers with large consumption amount, high consumption frequency, high platform evaluation, high loyalty, and heavy consumption. At the same time, it also screens out general customers. Moreover, the intelligent group display of the clustered customers is visualized in the form of reports, and the visual display of each group is also carried out, so that decision makers can conveniently implement accurate group management of different groups of customers.

Rapid socio-economic development, promoting the development of the construction industry. Companies want to stand out from the fierce market competition, must strengthen the cost control of construction projects. This paper elaborates the importance of cost control of engineering construction projects, and then proposes that the dilemmas faced by cost control management of engineering construction projects are: inadequate market research of raw materials, lack of high-quality cost management talents, imperfect cost management system, neglected cost management work, lack of supervision and regulation of cost management work, and finally proposes that the cost control strategies in the process of engineering project construction include clarifying the cost control objectives of engineering cost, cultivating professional cost control talents, deepening the innovative cost management system, increasing the supervision and regulation of cost of the whole process of engineering, and ensuring the reasonableness of the cost budget plan. We hope to further promote construction companies' attention to cost control of engineering price construction projects.

Since the abolition of the welfare housing distribution policy and the implementation of the monetary reform of the housing system in 1998, there has even been a bubble phenomenon despite the rapid development of the Chinese real estate market. However, considering that the reform of real estate tax will affect the whole system, and there are still various disputes about real estate tax in society, the Chinese government is very slow in real estate tax reform. Given this, under the background that the State Council has been authorized by the Standing Committee of the National People’s Congress to pilot real estate tax reform, it is still necessary to explore the legitimacy of China’s real estate tax reform promotion. In general, under the background of solidly promoting common prosperity, resolutely implementing the policy of “housing to live without speculation,” and promoting the stable and healthy development of the real estate market, coupled with the fact that the real estate market has already seen a severe bubble phenomenon. China’s active promotion of real estate tax reform has a solid theoretical and practical basis and has urgency and feasibility.

The race of smart cities in India places Pondicherry at 75 th position. To improve its ranking position for smart city race, we propose the implementation of 2MW Floating Solar Photovoltaic (FSPV) system -where a large water body could be used for generation of solar power. The floating PV system can be used to attain much higher efficiency compared to its counterpart on land based PV system. The proposed FSPV system could cover solar panel of 1/3 rd area of the proposed lake to generates 2685 MWh annually. A geo-synchronized layout has been prepared using 3D SketchUp Pro with Google maps. The FSPV system could cost USD 1.6 million with a payback period of 6 years. In addition, the implementation of e-transport facility by utilizing e-rickshaws with a battery capacity of 90Ah with 15 Amps DC charging facility has been proposed with an investment of USD 30k, with payback period of just 5 month. The bright side being improved overall payback due to money inflow with the implementation of e-rickshaws; greater job opportunities with benefits to physically challenged persons to improve their overall socio economic status. It is viewed that the proposed FSPV and e-transport could increase the chance to secure smart city plan for Pondicherry.

Since the emergence of cloud computing paradigm, there has been an increasing interest on the adoption of cloud computing from municipalities and city governments towards their effort to address complex urban problems. This paper explores the significant role that cloud computing can play in helping cities on their way to become smart. We focus on the STORM CLOUDS paradigm as a solution for municipalities everywhere in order to (i) deploy a portfolio of smart cities applications related to governance, economy and quality of life on a single cloud-based platform and (ii) use the platform and its accompanied tools to migrate their existing applications to the cloud environment. Besides the conclusions from the STORM experience, the paper closes with a number of research trends and future challenges that are expected to define the adoption of cloud computing from municipalities and city governments in the following years