同社が分析対象としているデータは膨大であり、4.2億IDのアプリユーザー（約120以上のアプリが同社の「Beacon Bank SDK」を搭載している）と217万ヶ所のビーコンにより取得する月間840億件以上のログを解析している。こうして膨大かつ網羅的な人流データを分析できることも同社サービスの競争優位の1つだ。併せて、同社はプライバシー対応も実践している。SDKを組み込んだアプリで情報を取得する際はユーザーの事前許諾を得ること、ユーザーがデータ許諾を拒否する方法を明示することなどを徹底し、透明性の高い情報の収集・蓄積を可能にしている。さらに、情報の分析の際にも統計処理の方法を工夫し、情報の蓄積・分析を行っている。特定の個人を識別する可能性を排除するために統計データ化や少数サンプルの秘匿処理などを実践し、安全性向上に注力している。Company Overview of unerry <5034>
1. Company Overview
Under the Task Center of "Creating a pleasant future with data," the company provides solutions in the fields of marketing and urban development by utilizing real behavioral data and AI to visualize real spaces. The company accumulates flow data that does not identify specific individuals through the patented Real Behavioral Big Data Platform "Beacon Bank" in China, North America, and Japan, and offers three services to customers: "Analysis & Visualization," "Behavioral Change," and "One to One." The flow data is accumulated through the use of Bluetooth beacons that acquire location data when a user enters the beacon signal range (a small device that transmits Bluetooth signals) and GPS that captures intermittent location data of users. Specifically, the location data obtained through a smartphone app that incorporates the company's "Beacon Bank SDK (Software Development Kit: packages programs, APIs, and specifications needed for software and web service development)" is accumulated in the Real Behavioral Data Platform "Beacon Bank" and analyzed by the company's proprietary AI group.
The data that the company analyzes is vast, processing over 84 billion logs monthly obtained from 0.42 billion app users (about 120 apps incorporated with the company's "Beacon Bank SDK") and 2.17 million beacons. The ability to analyze such a large and comprehensive flow data set is one of the competitive advantages of the company's services. Additionally, the company also practices privacy compliance. When obtaining information through an app that incorporates the SDK, the company rigorously ensures to get prior consent from users and to clarify the methods for users to refuse data consent, enabling transparent information collection and accumulation. Furthermore, during data analysis, they employ innovative statistical processing methods to accumulate and analyze information. To eliminate the possibility of identifying specific individuals, they implement methods such as statistical data transformation and the concealment of small sample sizes, focusing on enhancing safety.
Even in today's highly developed digital age, 90.6% of consumption is still due to real purchases in the physical world (2023 Ministry of Economy, Trade and Industry). On the other hand, data collection, accumulation, organization, analysis, and utilization in the physical world are still not sufficiently implemented. In that sense, the areas where the company can contribute its business in the future can be said to be vast, and there is significant potential for growth.
The company defines a world where optimal information is provided based on real-world data according to the situation of general consumers as "Environmental Intelligence," stating that "instead of people consciously operating computers, IoT devices are omnipresent in the 'ambient' environment surrounding people, naturally providing necessary information by intelligently sensing the situation, and maintaining a safe and secure environment with intelligence that supports living.
(Writer: FISCO analyst Tomoichi Murase)