Consumers are the ultimate arbiters of enterprise ability to identify and predict market trends and to procure and distribute products and services that represent desired customer value, at the right price and through the right channels. Firms must be aligned to consumers’ continually evolving needs and expectations of value. As a result, the ability to innovate successfully to create customer-centric differentiation is critical to the overall success of the sector and increasingly decisive in the survival of individual enterprises.
In order to achieve a Customer-Centric framework, we created a Business Intelligence architectural plan that analyzes the interferences (input) of all external factors on customers and the consequences on their final purchase decision (output).
A Leader automotive company, faced a crucial challenge for its After Sales Service business: How to reduce churn for cars out of the warranty. We present here our solution based on Artificial Intelligence Theory.
A worldwide leader financial institution faced a crucial challenge for its private banking business and especially for a specific category of investment products and personal loans: How to increase sales, reduce any risk and reinforce brand image by communicating the quality of its private banking department.
Tourism products and services attract travelers to a country. Cultural and natural attractions, beaches and resorts, sports events are all products that appeal to travelers. Within this country attributes and strategy there is destination identity and within destination every single enterprise’s identity and offer. The best way to achieve a sustainable growth or retention of profitability for each enterprise is through a three-step process: analyze and understand the evolution of the tourism sector ecosystem; analyze the relation between destination and tourism sector ecosystem and develop strategic positioning and value proposition of the given enterprise aligned with the above framework.
In this context Big Data Analytics has to understand each traveler needs and wishes, transform information into actions to be taken and design a business and communication guide of actions that an enterprise must undertake. For the success of this task, data coming from all sources (specialized in tourism sites, social media, booking systems) must be processed in a unified platform and analyzed with machine learning techniques as we have both transactional (numerical) data and data expressing thoughts and feelings, structured and unstructured data, data concerning the whole tourism ecosystem and data concerning the traveler’s social community.
Today an enterprise is evolving into a complex economic, social and business environment, co existing with suppliers, producers, competitors, other stakeholders and customers. Global trends of production and distribution in one hand, business dependence on technology evolution on the other (Internet of things, Cloud and Smart Systems) are leading into an era where people, machines, devices, sensors, and businesses must all be connected and able to interact with each other.
A new paradigm of doing business is necessary, an Intelligent Enterprise Ecosystem that will offer an operational and profitable symbiotic relationship between an enterprise, technology, its environment and knowledge generated by (and influencing) this relationship.