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The importance of relationship marketing and Big Data for business improvement

The Professional Master’s Degree in Visual Analytics and Big Data from TECH allows people to get the latest updates to have valuable conversions

Today, people no longer buy products, but values, a story, or a brand. Thanks to this, experts who have a Professional Master’s Degree in Visual Analytics and Big Data argue that marketing has revolutionized, and today H2H marketing, which means human-to-human interaction, B2B (business-to-business) and B2C (business-to-consumer) marketing is over. Now, relationship marketing is the most positioned and is so effective because it refers to tactics and actions that enhance communication with potential customers to guide them through the buying process and reinforce loyalty with existing customers.

In this way, traditional marketing consists of targeting large audiences with the same message, relationship marketing works in the opposite way to set up a more personalized conversation with each customer at the right time to create a long-term connection and there are 3 best practices to apply relationship marketing.

  1. Talk to the people, not the consumers: It could be executed by personalizing messages for each person like including their name in a message or sending a birthday email can make a significant difference.
  2. Segment mailing lists: Separating contacts into smaller groups or segments based on similar characteristics to create personalized content will easily show people that messages are not sent randomly, but that their needs and situation are considered.
  3. Create a conversion funnel tailored to the customer’s process: It consists of the path that prospects follow from their first interaction with your company, when they make a purchase, through to post-sale follow-up.

The most complete and updated educational program on the market

Individuals focused on the world of Big Data  are apt to manage rational analytics using a visual and interactive interface through the capture, storage of information, and data mining research. However, it is also necessary to consider the importance of how to process and analyze the customer by applying data intelligence to marketing offered in the Professional Master’s Degree in Visual Analytics and Big Data offered by TECH, which supplies a customer-centric approach as opposed to transactional marketing, which is more focused on the product and the act of making a purchase and improving conversion to sales using it.

The program is designed to get access to the most relevant innovations, such as automatic and visual data analysis   analytics, critical thinking, data analysis techniques and AI, deep Learning, cloud computing, Drive Profile for Data-Driven Organizations, relationship marketing, among others.

Also, it has the most outstanding features such as case studies presented by experts, graphic and schematic practical content proven by scientists, practical exercises, forums for discussion and availability of access to content from any fixed or portable device with an internet connection.

Career opportunities of implementing Big Data  and relationship marketing

Companies in all sectors, from large multinationals to small businesses, require the profile of a professional in Big Data . Therefore, the demand for these professionals is increasingly high and is considered one of the most promising professions of the 21st century. On the other hand, no matter the type of business or industry, relationship marketing is a great investment for long-term sustainable growth if a professional in the field works on it.

The most popular professions in the sector are Data Analysts focused on business intelligence to make important decisions on the strategy and action plan to be followed to achieve the goals, on the other hand, Data Architects consist in building a platform that can support the large volumes of data, and Data Scientist that oversees visualizing data, configuring learning models and patterns on the data extracted by the Data Engineers.

Thus, to become an expert in the sector and be able to succeed in the business world, it is essential to have earlier training and some skills. Among them, knowing how to use Apache, one of the most used tools, having a high command of qualitative analysis, knowing how to use several programming languages, such as Python or SQL, and having knowledge of Machine Learning, all of them can be learned in the online program Professional Master’s Degree in Visual Analytics and Big Data offered by TECH Technological University for 12 months with the best tools of the highest education.

TECH Technological University

TECH Technological University, the world’s largest university, is also the official online university of the NBA in Latin America. It belongs to the TECH educational group, a Spanish-owned multinational recognized by the Financial Times as one of the 200 fastest-growing companies in Europe. The company, founded and directed by Manuel Sánchez-Cascado de Fuentes, has also been considered the most highly valued Spanish technology company in the last 15 years.

Thanks to its fully digital learning system, it supplies training to students from anywhere in the world. An international trajectory that has allowed it to become a benchmark in distance learning, with a catalog of more than 10,000 programs, more than 100,000 new students each year, and 500,000 graduates from more than 150 countries.

Specialized in highly qualified postgraduate programs, they offer their students the best training programs at an international level, being leaders in employability with 97% of their students working in the first twelve months, according to data from the consulting firm KPMG.


Introduction to Big Data and Analytics

A lot has been heard about the term “Big Data” and some people also have a rough idea what it really means. No matter if you are from a IT background or a non-technical one, Big Data is affecting your life right now. You are currently contributing to the whole Big Data thing knowingly or unknowingly. And a lot of the companies are trying to make sense out of the data to apply it in different sectors. So we will discuss the latest trend – Big Data and Analytics and also elaborate on some of the similar terms that you might have heard along with it.

What is Data?

Data is basically any kind of distinct information or knowledge about something that can be for example a picture, text, some feature, etc. Data can make sense or sometimes it may not. But if we manage to make some sense out of it, then we can term it as proper information which can then be applied for different purpose. The most common source of data collection is Internet right now and it is processed using computers.

Now what is Big Data?

Data which is too large and complex that it cannot be processed by a traditional computer application is called as Big Data. Consider this example of social media websites where users willingly post data which is then collected by the companies. These large data sets are too complex and big to be processed using normal software and infrastructure. One needs some advanced methods, software, and processing power to process these kind of data sets. If analysed properly, this data can tell everything about the user and probably can determine the interest of the user, his/her behavior and other information too. Based on this evaluation, one can may be show relevant advertisements which can help both, the user and the entity which benefits from the advertisement.

In one of the seminars(Big Data and analytics – The future of sustainable development) which I attended recently in the N.L. Dalmia Institute of Management, they said that “Data is the new oil” and “Data analytics is the refinery”. Which basically means that companies are investing huge to collect and acquire data and then analyze it for the applications. Big social media companies even those which closed down have lot of data stored which is not dead. It can be analyzed properly and used in the correct manner. If data analytics is used in a safe and proper way then it can be of great use in the field of innovation and development.

This seminar ended with an introduction to special Post Graduation Course in Big Data with SAS. As I mentioned that Big Data needs some advanced algorithms and software for proper analysis, that is where SAS comes in. SAS(Statistical Analysis System)basically is a software suite developed by SAS institute which is meant for predictive analysis, data management, business intelligence, and multivariate analysis. This suite has lot of tools and stuff that also requires some pre-requisite knowledge to understand it properly. That is where this course comes in handy for the people who really want to make a career in this emerging field of Big Data and Analytics.

The course covers SAS programming, Introductory Statistics, Data Management & Manipulation, Data Quality, Hive & SAS, Working with Hadoop and Data Visualization. It basically has all the topics one needs to understand to become a Big Data expert. Its a 480 hours(11 months part-time) course and you can learn from people having 15+ years of experience in the industry & Big Data science management. It is ideal for people having strong background in engineering and mathematical sciences.

Overall Big Data is the future now as we are the new products who are continously creating content and collecting Data. Without proper analysis, the data cannot be used for prediction applications and we will lose the potential of good innovation. Do let me know your thoughts over Big Data and analytics, and I hope you got a gist of the whole topic with some proper guidance on how to purse this as a career option.