Mobility Intelligence
Mobility intelligence refers to a recent concept encompassing various tools rooted in meticulously gathered and analyzed data. It caters to professionals seeking insights derived from data without the need to directly ingest and analyze it themselves. Understanding mobility data is a journey, starting with accessing and gathering raw data from various sources like connected vehicles, mobile devices, and geo-mapping. However, this initial data is often crude and unusable. The subsequent step involves normalizing, cleaning, and preparing the data for analysis. Multiple layers of transformation, enrichment, and consolidation are applied to make the data usable. Once ready, it can be accessed through a suitable API. Enhancing accessibility and usability is achieved by incorporating visualization tools and user experience (UX) design. Visualizing data makes it more understandable, but sometimes it may not suffice. This is where mobility intelligence steps in. It represents the next stage in the process, where data is transformed into actionable insights. Utilizing machine learning algorithms, data scientists extract valuable insights from the data. These insights serve as powerful tools for driving real change, supporting decision-making processes, and ensuring better outcomes.
Mobility intelligence offers numerous benefits, including faster return on investment (ROI), improved resource allocation, avoidance of costly errors, and the ability to implement behavioral changes. It grants access to robust tools, such as the allocation of “personas” with distinct characteristics, objectives, and preferences. By analyzing mobility patterns across various transportation modes and enhancing this data with additional layers like points of interest (POIs), origin-destination (OD) matrices, weather conditions, hazards, and construction data, mobility intelligence delves into comprehensive insights. The primary focus of mobility intelligence lies in enabling decision-makers to derive utility from data comprehension. It serves as a tool that empowers organizations to make strategic and tactical decisions with confidence, eliminating guesswork and facilitating data-driven choices.
Mobility intelligence revolves around the conversion of extensive data and activity signals into actionable, meaningful, and monetizable insights. This process necessitates access to diverse and refined data sources, along with advanced data science tools. The outcomes are impactful and deliver tangible results. Emphasizing the generation of impact, mobility intelligence equips stakeholders with a versatile tool capable of addressing various challenges in transportation. These challenges range from traffic congestion and multimodal services to the strategic placement of EV charging stations, including the optimal distribution of ultra-fast and fast charging points. Furthermore, mobility intelligence leverages data and technology to tackle broader issues such as pollution, accessibility, and more.
Source: Otonomo
