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About me Self introduction › Analysis to drive service/project growth. › Analysis to promote business improvement within LINE Fukuoka Corp. › Manage Analytical Projects / Products. My Roles Skills › Data analysis processing using the R language in general. MAEDA Kazuhiro › Develop center – DataLabs – Data Analysis Team › Team Manager, Data Scientist

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Agenda › Introduction of LINE Fukuoka Corporation › Issues in Operation Tasks of LINE Fukuoka › VIIM Project › Centralized Prediction Project › In future direction

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Introduction of LINE Fukuoka Corporation

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The 4 Roles of LINE Fukuoka Our Business Business Planning Engineering Creative Works Operations

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Issues in Operation Tasks of LINE Fukuoka for ”always data driven”

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for “always data driven” Three basic phases the data Collect the data Apply the data Analyse

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for “always data driven” Three basic phases Collect Consolidate and manage relevant data in one place › Automatically collect diverse data › convert to an easy-to- use format for analysis Analyse Analyze aggregated data › Calculate metrics to deal with › Visualization › Extract issues etc… Apply Implement Analysis Results › Planning of business plans based on time- series forecasts › Apply machine learning etc…

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The three NOs we had Issues that Prevent Data Driven in LINE Fukuoka NO integrated data collection for operations NO metric measurement and/or visualization framework NO cross-organizational projects in data application

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From NO to BUILD Three approaches for data driven BUILD integrated data collection for operations BUILD metric measurement and/or visualization framework BUILD cross-organizational projects in data application

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VIIM Project VIsualization – Improvement - Management

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Purposes of this project › Consolidate and visualize data that management and field members can use to make decisions › Based on visualized data, the environment/system for improvement measures and future directions is constructed.

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Cross-Organizational Project Structure › PM/PdM, requirements definition › dashboard construction Digital Planning Team › application development › construction of data acquisition systems Global Operation Team › overall system construction › in-house IT support Work Improvement Team › data pipeline construction › dashboard construction Data Analysis Team

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Architecture of this system Referred DB other Products Data Lake Data Ware House CMS CMS Log data DB Files Storages LINE Fukuoka DB

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Dashboard Visualization

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Achievements Consolidate data from many departments into one place Build a visualization platform for KPI metrics Reduce field operational costs

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Time series forecast of workload Centralized Prediction Project

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Purposes of this project › Established a framework for predicting workload that affects the operation › Delivering more accurate predictions using data science techniques Centralized Prediction Project

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Dashboard Architecture of this system - batch Input data storage manipulating data training, predicting Raw data Events model: DeepAR, prophet, etc… predicted result Dashboard

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Online time series prediction tool

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Achievements Provide accurate predictions Flexible design for predictive systems Both online and batch systems are available

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In future…

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Toward true data driven Three approaches for data driven Building a more efficient data management and operational structure Building an integrated framework for time series forecasting Streaming other operations using machine learning

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Thank you