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The Impact of Technology on the US Energy Market

Hoskin would visit nearly a dozen different Canadian homes, moving about Ontario and Quebec before arriving in the "more cultured, more civilised" Vancouver. He became a Canadian citizen and continued to create books, each one more absurd than the last. Rampa allegedly flew as an air ambulance pilot in World War II, evaded capture and torture, and fled a prison camp near Hiroshima on the day the bomb was dropped. In Vancouver, Hoskin stayed in a West End hotel. According to his secretary's self-published memoir, he liked the waterfront vistas but found Vancouver difficult to navigate. He couldn't recreate The Third Eye's success; it had been difficult to find a home that could accommodate his cats, and health difficulties required the use of a wheelchair in an inhospitable metropolis. Hoskin became more reclusive as his writings expanded to include aliens, prophecies about future conflicts, and previously unreported escapades of Christ. Hoskin moved again, this ti...
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How to Leverage Data Analytics in US Business

At last, using these tried-and-true approaches helps companies to completely realize the possibilities of big data and analytics, hence producing real commercial results. Establishing a data-driven culture, encouraging multidisciplinary cooperation, giving constant learning and adaptation top priority, and applying sensible measuring techniques top importance. Regularly tracking their successes helps companies to use data to direct important decisions and help them to reach their objectives. Big data and analytics have revolutionized corporate operations across sectors, enabling companies to extract significant insights and generate data-driven decisions (Chaudhiri et al., 2021; Medeiros & Maçada, 2022; Olszak & Zurada, 2019). This paper offers actual case studies from several sectors to show how well big data and analytics should be used to propel company expansion.

The fast alerts of the platform have helped medical professionals to carry out preventative activities, hence improving patient outcomes and cutting ICU stays.


By means of modern analytics and meaningful data analysis, Memorial Sloan Kettering Cancer Center (MSKCC) enhanced cancer treatment efficiency, hence producing improved outcomes. By use of genomic data, patient records, and treatment outcomes, MSKCC has effectively tailored cancer treatments to each patient's particular circumstances (Carlsson et al., 2020; Kim et al., 2019; Polk et al., 2023). This approach avoided pointless treatments, therefore improving patient outcomes and lowering healthcare costs. Using vast data and sophisticated analytics, Philips Healthcare created a novel predictive analytics platform specifically for critical care units (ICUs). Using real-time patient data—including vital signs and test findings—the technology precisely forecasts patient decline and quickly alerts healthcare practitioners. Using big data and analytics, Capital One enhanced consumer experiences and maximized marketing initiatives. Following thorough customer transaction data analysis, Capital One was able to provide customized product recommendations and apply focused marketing efforts. This approach greatly raised marketing return on investment and simultaneously raised customer satisfaction and loyalty. To rapidly identify and stop fraudulent behavior, JPMorgan Chase applied advanced technologies and thorough data analysis. 

Big data and analytics help Amazon to enhance consumer experiences and boost income. 


Depending on customer browsing and purchase behavior, Amazon provides tailored discounts and personalized product recommendations. Sales, customer satisfaction, and loyalty have all surged thanks in great part to this approach. Walmart maximizes its supply chain and inventory control by means of analytics and big data. By carefully examining many data sets, Walmart can maintain its stores well-stocked and reasonably forecast customer demand. For Walmart, this approach has been quite successful, producing notable cost savings, less stockouts, and better running efficiency. Numerous studies have shown how well this approach works (Alrumiah & Hadwan, 2021; Anshari et al., 2019; Lindecrantz, Gi, &zerbi, 2020). These case studies highlight how big data and analytics have been used by companies in the retail, finance, and healthcare sectors to hasten company expansion. By using innovative ideas and leveraging data-driven insights, these companies have effectively enhanced consumer experiences, simplified processes, and created outstanding economic triumphs. With innovations in artificial intelligence, machine learning, and IoT set to inspire even more invention, big data and analytics seem to have pretty bright future prospects. Organizations that want to compete in the digital era have to give constant investments in data capabilities and talents top first priority. Moreover, safeguarding data privacy and security will always be vital and calls for the development of sensible policies to guard information and guarantee rule compliance. At last, the application of analytics and big data will remain vital in propelling business achievement in several sectors. Businesses that embrace innovative ideas and leverage new technologies will be able to take advantage of the great opportunities presented by big data and analytics to drive modern day innovation and growth.

All things considered


Big data and analytics are now much more used in many different sectors, driving corporate innovation and expansion. This thorough analysis has found important strategies and best practices for using analytics' and big data's possibilities. It underlines the need of creating a society that supports team cooperation, data-driven decision-making, a constant learning attitude, and tracking of the results. Moreover, case studies in several sectors, including retail, banking, and retail, highlight how companies have effectively used these strategies to reach their commercial goals. Achieving organizational transformation requires developing a data-driven culture and perspective. Maintaining a culture of teamwork and making sure data initiatives complement the general objectives of the company depend on cooperation among several departments. You have to be always learning and flexible if you want to keep ahead of the curve and seize the newest technology in big data and analytics. Determining the success of data projects and pointing up areas needing work depend on accurate measurement and monitoring of results. By closely examining transaction data and consumer behavior patterns, JPMorgan Chase was able to identify and react quickly to fraudulent activities, therefore preventing likely financial losses. By allowing JPMorgan Chase to keep consumer faith in its financial services and safeguard them, this approach has helped the company to (Campbell et al, 2020; Gupta et al, 2020; Hamilton & Sodeman, 2020).

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