Collecting large amounts of data and analyzing it allows telecoms to truly understand their customers and deliver services adjusted to their needs. However, loosing acquired customer base is still a big concern. Thanks to Big Data analytics tools, customer churn can be reduced, and competitive advantage can significantly grow. …
Poor management of Big Data is a real privacy risk. But without data analytics, companies have a hard time understanding customers behaviours and making smart decisions. Carefully planned data management strategy is crucial to ensure that data moves around with minimal risk. But how can we keep privacy in the age of Big Data?…
AI and Big Data relationship is already really promising. AI will help generate more useful insights from Big Data analytics, predict things before they happen, and simply – save more time. The interaction between AI and Big Data is still in the early stages, but discovering its potential helps achieve meaningful results….
Data collection is a process of gathering and measuring information on variables of interest that enables to answer queries, stated research questions, test hypotheses, and evaluate outcomes. Depending on the needs, data collection methods can vary, but it should always focus on keeping integrity, accuracy and reliability….
For the business to develop and flourish, it is necessary to understand the customers and to improve interaction with them. Customer satisfaction has a direct impact on customers’ behaviour in the future. Listening to their needs will help you identify your business’s strengths and weaknesses and discover areas that require more work and improvement….