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?…
Personalization makes customers feel understood and improves their digital experience. Chatbots, and more specifically, AI conversational agents, also offer a high-level personalization. Together with our real-time marketing engine, they are the perfect innovation that provides a complete customer data-driven digital experience….
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….
Big Data impact on business is tremendous. With the help of Big Data, companies want to improve their customer service, increase profit, reduce costs, and upgrade existing processes. Big Data can create new ideas for companies’ growth and expansion. Using real-time analysis, Big Data impact on businesses can be even more lucrative than ever….
With the increase consumption of digital content via smartphones and mobile devices, marketing strategies need to adjust. Focusing on the mobile-first approach and mobile content marketing can make your campaigns successful. Creating engaging and useful mobile content gives a significant advantage over your competitors….
Behavioural segmentation provides the necessary context that allows specifying customers’ behaviour, demands, and motivations. Behavioural segmentation is challenging but definitely worth the reward. Understanding your customers’ needs is the key to personalization, allowing you to perform the best marketing campaign possible….
Behavioural segmentation is the process that groups customers based on their behaviour. It allows marketers to understand their target group better. Analyzing their behaviour and aligning them with various needs, provide better results. Taking the time to understand and use behavioural segmentation can satisfy your customers’ needs….
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….
Green data is a term, used for the tendency of “going green” by companies using Big Data daily. Climate change is now one of the greatest challenges, and big environmental data helps us understand it all. The application of Big Data to stop global warming is what is known as green data. It’s one of the ways to save our planet….
Hyper-targeting identifies and understands who your target audience is. By leveraging data about your target group and adjusting your budget or campaign size to the specific needs, you can achieve better results. Focusing on various attributes of your audience is an essential factor while talking about hyper-targeting….