In the age of automation ,many hotels are using the data analytics to understand the free amenities that consumers like the most. The proper use of analytics will help them to please both the new and old visitors. In order to execute the hotel's amenity analytics, the following methodologies are used:                                          

1]To tap into the hotel's reservation system to find data                              

2] To incorporate this data with survey data from consumers. This helps the hotel management process easier by making the digital computation of the value of free amenities and by providing better analysis of the data available and making space for new reliable and valuable data.

Read more at: http://www.techrepublic.com/article/how-analytics-help-hotels-gain-customers-loyalty/

GST-Network (GSTN) is trying to provide hi-tech security and analytics center to give protect the data under the Goods and Services Tax (GST) for the cyber threats. GSTN will be appointing security companies by August to build up Security Management and Analytics Centre (SMAC). SMAC will implement data analytics to protect the GST system from cyber attacks and will provide a better and protected environment for GST ecosystem. Read more at:http://cio.economictimes.indiatimes.com/news/digital-security/paranoid-about-security-setting-up-analytics-centre-gstn-ceo/59092397

India is planning to observe the pollution level in the ocean with the level of automation and based on the observation it will try to take measure to reduce the pollution level in the ocean. As the tourism industry along the coasts are flourishing in a large scale in India, the pollution is also increasing . This project will help to predict a threshold value of dumping waste into the ocean by forecasting the pollution. Different time scales will be taken into account to observe the significant changes occurring in the coastal waters and to estimate how different parameters are like along the coastline of India. Read more at: http://economictimes.indiatimes.com/news/science/india-plans-automated-ocean-pollution-observation/articleshow/58640371.cms

A huge amount of digital data is getting piled up every day and to deal with that the technology recruiters are valuing the skills in data visualization, data science, machine learning and data analysis the most. These skills in data analysis help the companies to give more insight about the data and help to predict a better future. With the courses on data science people are now showing immense interests in machine learning and data visualization tools. Professionals are willing to upskill to keep pace with the automation. Read more at: http://economictimes.indiatimes.com/jobs/techies-reskill-to-log-on-to-big-data-deluge/articleshow/58103804.cms

Many big companies are trying to adopt sophisticated artificial intelligence and other advanced technologies without practicing basic data analysis. But this will affect the companies adversely. Without basic automation and strategic vision of solving basic problems using basic data analytics, companies cannot use the AI and advanced technologies to reach the correct results. The different ways of AI are not yet fully discovered by the companies .AI has the full. potential to reinvent business but before that proper automated and structured analytics are needed to be prepared to nourish the advantages of AI. Read more at: https://hbr.org/2017/06/if-your-company-isnt-good-at-analytics-its-not-ready-for-ai:

GST-Network (GSTN) is trying to provide hi-tech security and analytics center to give protect the data under the Goods and Services Tax (GST) for the cyber threats. GSTN will be appointing security companies by August to build up Security Management and Analytics Centre (SMAC). SMAC will implement data analytics to protect the GST system from cyber attacks and will provide a better and protected environment for GST ecosystem. Read more at: http://cio.economictimes.indiatimes.com/news/digital-security/paranoid-about-security-setting-up-analytics-centre-gstn-ceo/59092397

The study of consumer behavior and modernization are required by the adoption of data analytics in order to fight the water industry's everlasting challenges. Water industries are looking for sustainable water supplies so that they can serve the water industries for the future. Water industries are trying to integrate the system with the user need with whatever capital is available to them. The most important issue for water utilities are maintaining and expanding assets. The water industries are trying to analyze the available data and collecting new data to increase their efficiencies and smartly manage their assets.  Read more at : http://www.waterworld.com/articles/2017/06/water-utility-industry-report-examines-role-of-data-analytics-and-true-cost-of-delivery.html

Automobiles are becoming highly advanced with the high-performance engines and technologies. Telematics provides the information about the performance of both vehicles and drivers. This automotive technology along with Internet of Things (IoT) is creating favorable impact on the car industry and its related industries like insurance, transportation and logistics service-based companies with fleets and infrastructure. The concept of autonomous vehicle has been there for ages, but with the application of AI it has gained new life. AI can act as an assistant to the human driver providing them a safe driving and with the help of biometric it adds a new level to the car security. Information asymmetry is the main problem in the insurance industries, but with predictive analytics using the available data this problem can be solved. The AI creates a win-win situation for both the user and provider. Read more at: https://www.forbes.com/sites/brianrashid/2017/05/16/how-ai-pioneers-will-affect-the-car-industry-and-why-its-a-good-thing/#7c2fcfde57c2

Technology in the natural resources business is changing the environment for producers of major commodities like oil, coal, iron ore, natural gas, and copper by giving them better opportunities for increasing the production and lowering the cost. Combining robotics, internet-of-things technology, and data analytics with macroeconomic trends and changing consumer behavior will enable the producers to efficiently use the energy. Technology is also helping the consumers to utilize the energy in their homes, offices, and firms more efficient. Development of technology is also helping in reducing the transportation and electricity cost, increasing the safety of the miners, providing advanced forms of grinding and grinding of many metals and accessing the mines and wells which were once unexplored. By using the existing and new technology, the productivity, efficiency can be increased. The extensive use of technology in mining is not an easy process and will take a lot of time but its reward will be very attractive. Read more at: https://hbr.org/2017/06/how-the-natural-resources-business-is-turning-into-a-technology-industry

Predictive analysis is now coming to the mainstream. Companies are trying to recruit people with the knowledge of maths and economics together with the business. Evolution of analytics is changing its pace. Organizations are treating the data as their key assets and trying to analyze those to gain more from their business. Initially company didn't realize the importance of data analytics. But now it has become a common trend of trusting their data to the cloud as it seems more secure. Read more at: https://www.cio.com.au/article/620089/slow-evolution-predictive-data-analytics/?fp=16&fpid=1

Farmers are not getting the proper price for their products and a lot of produced are not being traded in the market due to lack of proper information symmetry, backward integration, insurance facilities, and infrastructural development. Proper data analysis can help in this respect and save many lives. Data analytics can integrate satellite, weather, and IoT analytics with the agriculture sector and machine learning and parallel computing techniques can be used to get a better idea about the crop phenology. Read more at: https://yourstory.com/2017/05/satsure/

Prosumer- the proactive energy consumers who design and customize their products using smart devices to manage consumption, add renewables to the mix and look for personalized service from his or her utility. The energy consumer gets connected to utilities in terms of both demand and supply and this makes them more vulnerable to ransomware attacks. The energy security benefits are designed to provide security, adaptability and personalization to the consumers with the help of Augmented Intelligence (AI) which help the organization to communicate with consumers and the press. Enterprises can succeed by focusing on consumer personalization, security and the technologies. This can be done with the help of automation, predictive analytics and machine learning. Read more at:https://securityintelligence.com/personalizing-energy-security-with-robust-analytics/

Nowadays, the big data and analysis are in demand as the political and economic conditions are full of uncertainties. Organizations of Asia Pacific are investing rapidly and heavily in digital labor, cognitive automation or robotics process automation to make them technologically advanced and place them ahead of the rest of the world. According to a CIO Survey, it was found that many technology executives are turning this uncertainty into opportunity and are becoming the driving force in making their organizations nimbler and digitally innovative. Technology leaders are becoming influential, as chief executive officers and boards turn to them for help in navigating through these uncertain times. The global security crisis has increased the demand of technological improvement. Read more at: http://www.todayonline.com/business/big-data-analytics-skills-hot-demand-amid-tech-boom

Acquisition -in the world of advertisement, this refers to the ability to attract new customers. According to an IAB report,2017 will witness the growth of native advertisement while the virtual ads will become a popular format. Customer's desire changes every minute and this will assemble a massive set of data. To get the best analysis of this data, big data analysis will give a better understanding of the customer and in turn will help the company to find the target customer. Thus, the use of data analysis is profitable and cost effective. Read more at: https://customerthink.com/how-big-data-analytics-are-empowering-customers-acquisition-in-native-advertising/

Cybersecurity is a threat to the globe. The quicker it can be dealt with, the better it is. In order to quickly find the problem, the organizations have to deal with the available big data more efficiently. Edge analytics is the concept of extending edge computing to data analysis. The advantage is that analytics can be done closer to the devices which actually generated the data so that the predictive maintenance can be carried out and security problems can easily be dealt with. This is important in situations where waiting for sensor systems to transmit data to a remote cloud is just a wastage of time , for example the case of train safety.Edge analytics can act as a veritable antidote to the malicious act of hackers. Read more at:  http://www.csoonline.com/article/3195922/data-breach/is-edge-analytics-the-front-line-of-cybersecurity.html