GDPR gives customers the right to control their personal data, to modify, restrict or withdraw consent, and transfer data. GDPR helps in reinforcement of customer’s trust and reduce regulations. With unified data governance, businesses will comply easily with law regulations that redefine client personal data usage. While without it they will be at a risk of potential data breaches and loss of client trust. With GDPR, companies are required to have technologies and data and analytics solutions which help them manage their data to provide a positive customer experience across channels. In future, these organizations will be able to secure a competitive advantage by gaining client consent to use personal data and improve the customer experience. GDPR will help in increasing awareness of the value of personal data. Read more at: http://www.datasciencecentral.com/profiles/blogs/gdpr-a-change-in-the-making

To the huge size and structure of the healthcare industry in India, technology can add immense value to it. Technologies can make differences in the various problem areas. Technologies like telemedicine can increase the reach of doctors to these rural areas to increase the accessibilities of doctors. A startup which is providing e-consultations through message, voice or video call do provide a convenient option at a lower cost for affordability issue. We can aware people by giving them the information about symptom, diagnosis and treatments of various critical diseases through mobile. We can also make people aware about the price and quality of medicines. Read more at:https://www.entrepreneur.com/article/296157

To become a digital expert, customer experience should be put above everything and methodologies should be found to adjust to the continuously changing demands. The following are some ways to do so. The first is to become a top-notch expert with industrialized IT services, where quality should be improved and it should be ensured that the product line is aligned with business needs. The next is to modernize, during which architecture must be planned and implemented. The last stage is Optimize in which improvements are made. The second is switching to agile operations to achieve maximum efficiency. Third, is to create an engaging experience for the consumers by designing a unique omni-channel approach, analyzing real-time data, thus improving purchase journey. Lastly, opportunities for digital services must be availed. The end result is the delivery of a truly digital experience. Read more at: http://www.datasciencecentral.com/profiles/blogs/enterprise-journey-to-becoming-digital

Fast data is the application of big data analytics to smaller data sets in real-time in order to solve a problem or create business value. The goal of fast data analytics is to quickly gather and mine structured and unstructured data so that customer experience can be improved by creating a more streamlined process for marketing strategies and customer service implementation. It has been observed that fast data analytics helped businesses turn their raw machine data into actionable insights by tracking transactions, identifying issues with hardware and software, and reducing customer complaints. It also helped in staying compliant with government regulations, avoiding preventable losses and improving the personnel’s efficiency by pinpointing errors. Thus, fast data analytics services significantly improve business’ customer experience by solving issues faster and more efficiently. Read more at: http://www.datasciencecentral.com/profiles/blogs/how-you-can-improve-customer-experience-with-fast-data-analytics?xg_source=activity