Search results for "Business goals"
showing 3 items of 3 documents
DIGITAL MARKETING PERFORMANCE EVALUATION METHODS
2018
The share of digital marketing from total marketing spending is increasing fast year by year. Still the majority of companies admit that they are missing clear methods on how to evaluate (positive/negative) effects obtained using digital marketing. As this field of digital marketing is relatively new, there are no firm and widely recognized measurement methods resulting in marketing specialists being confused by an overwhelming amount and variety of different digital marketing metrics and large amounts of data. Therefore, the aim of this paper is to list the existing methods which could help marketers to evaluate their digital marketing campaign effectiveness and to discuss these methods’ e…
Airport Charges Policy as a Tool for Achieving Competitive Advantage in the Aviation Market
2020
Air transportation plays an important socio-economic role, and an airport, as part of the transportation system, is a significant component of the national infrastructure. The airport is not just a provider of aviation services, whose activities are regulated by the state, but is a self-sustainable commercial complex with its own business goals and development strategy aimed at the growth and economic efficiency of operations. Strengthening its position in the Nordic region is the strategic goal of Riga International Airport. Competitive advantage in airport charges policy should contribute to the accomplishment of this strategic goal - Riga Airport should be the first choice for airport tr…
Continuous experimentation on artificial intelligence software : a research agenda
2020
Moving from experiments to industrial level AI software development requires a shift from understanding AI/ ML model attributes as a standalone experiment to know-how integrating and operating AI models in a large-scale software system. It is a growing demand for adopting state-of-the-art software engineering paradigms into AI development, so that the development efforts can be aligned with business strategies in a lean and fast-paced manner. We describe AI development as an “unknown unknown” problem where both business needs and AI models evolve over time. We describe a holistic view of an iterative, continuous approach to develop industrial AI software basing on business goals, requiremen…