Data Analysis with Just a Few Clicks... LG Electronics Opens 'Data Portal'

Self-Service Business Intelligence Features Display Visualized Analysis Results
Analysis Results Utilized to Discover Customer Insights
Product-Related Data Strictly Protected According to Security Policies

[Asia Economy Reporter Kim Hyewon] LG Electronics is accelerating its digital transformation by recently launching the 'LG Data Portal,' which enables easy and fast data analysis.

On the 14th, LG Electronics announced that amid the growing importance of data analysis, it has built an internal data portal system to create new customer value by utilizing the data accumulated so far.

Even employees who are not data analysis experts can analyze large amounts of data with just a few clicks by using the various functions provided on the portal.

To build this system, three organizations collaborated: the Chief Financial Officer (CFO) division's Business Innovation Team, the Chief Strategy Officer (CSO) division's DX Strategy Team, and the Chief Technology Officer (CTO) division's Service Platform Team.

The self-service business intelligence (Self-Service BI) function provided by the LG Data Portal analyzes large volumes of data to derive meaningful and efficient information. Employees can obtain visualized analysis results such as charts and graphs by utilizing the accumulated data uploaded on the portal site.

Employees can share data analysis results with related departments. Different employees do not need to perform the same analysis tasks. When multiple people interpret a single analysis result from various perspectives, they can discover hidden values that would be difficult to find alone. On the bulletin board within the portal where data analysis results are shared, users can leave feedback by posting comments.

Employees can also analyze data they personally manage using the portal. After entering various attributes such as data type (product data, system data, etc.), format (structured, unstructured, etc.), and application area (research, planning, quality, service, etc.), and uploading the actual data, they can analyze the data anytime using the self-service business intelligence function. The company can consolidate data scattered across multiple locations into one place by operating the data portal.

#Case example? 'Strengthening Purchase Competitiveness Based on Data' + Verification of the Effectiveness of the Tromm WashTower's 'Drying Preparation' Function

LG Electronics is utilizing accumulated item-specific quotation data to assess the appropriateness of prices proposed by new partners.

Practitioners can easily and quickly compare and analyze whether prices are appropriate by using visualized item-specific quotation data. The data analysis results help establish purchase strategies by vendor, thereby strengthening purchasing competitiveness.

Employees gain insights for planning new products or improving functions of existing products by utilizing data.

LG Electronics' Tromm WashTower, an integrated design all-in-one washer-dryer launched last year, allows washing and drying to be completed in a single product. The 'Drying Preparation' function of this product pre-operates the dryer's compressor, similar to how a car warms up its engine, considering the time when washing ends so that drying can start immediately after washing is finished.

Researchers analyzed test results to verify the effectiveness of the Drying Preparation function. Through this, they confirmed that the WashTower equipped with the Drying Preparation function can reduce drying time compared to using a conventional dryer.

Additionally, data analysis confirmed that the WashTower shortens the time between the end of washing and the start of drying, including the time to load laundry into the dryer, enabling customers to reduce washing-related time by up to 60 minutes compared to using a washer and dryer separately as before.

Data analysis results are used to leverage the effectiveness of developed products and also serve as valuable tools for marketing.

Actively Reflecting Data Analysis Results in Product Improvement and New Product Planning

LG Electronics collects anonymized data without personal information from products and utilizes it effectively to improve customers' lives. Information generated from smart appliances is used not only to analyze customers' usage patterns of existing and new product functions but also to examine differences in usability by region and time zone. The company actively reflects product data analysis results when improving products or planning new ones.

Product data is also necessary for Proactive Customer Care, which manages home appliances in optimal condition. Proactive service uses artificial intelligence technology to analyze operating status by utilizing product data and detects potential failures in advance to notify customers.

LG Electronics analyzes data generated from products connected to the LG ThinQ app and proposes functions that are necessary or useful to customers. Data generated from products is strictly protected according to the company's security policies.

LG Electronics complies with relevant laws such as the 'Personal Information Protection Act' and the 'Act on Promotion of Information and Communications Network Utilization and Information Protection,' collecting and utilizing data only when customers consent to information collection and use upon registering for the LG ThinQ app.

LG Electronics expects the data portal to not only reduce the time employees spend on data analysis and improve work efficiency but also discover customer needs that were previously unnoticed, thereby creating new customer value and accelerating digital transformation.

LG Electronics CSO Vice President Jo Joo-wan emphasized, "By accelerating digital transformation, we will innovate customer value, improve work methods, and contribute to strengthening future business competitiveness."

This content was produced with the assistance of AI translation services.