Seoul, 3184,
South Korea
LG Household & Health Care Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by LG Household & Health Care and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 4378 LG Household & Health Care employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that LG Household & Health Care has purchased the following applications: ProDiscovery for Process Mining in 2019, Cisco Webex Meetings for Audio Video and Web Conferencing in 2020, Adobe Experience Cloud for Customer Experience in 2019 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems LG Household & Health Care is running and its propensity to invest more and deepen its relationship with Puzzle Data Co. , Cisco Systems , Adobe Systems or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing LG Household & Health Care revenues, which have grown to $6.48 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for LG Household & Health Care intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Puzzle Data Co. | Legacy | ProDiscovery | Process Mining | Analytics and BI | n/a | 2019 | 2019 |
In 2019, LG Household & Health Care implemented ProDiscovery, a Process Mining application provided by Puzzle Data Co. The deployment targeted process transparency and operational diagnostics across commercial and manufacturing workflows within the companys South Korea operations.
The ProDiscovery implementation focused on core Process Mining capabilities including automated process discovery, variant analysis, conformance checking, visual process mapping, and performance dashboards. ProDiscovery was configured to generate event-level process visualizations and to support root cause analysis and exception detection, enabling analyst and process owner workflows for process optimization.
Operational coverage emphasized cross functional workflows typical to consumer packaged goods, including supply chain orchestration, manufacturing sequencing, order to cash and finance related process flows. The solution ingested event and activity data to produce end to end process models and time based performance metrics used by operations, quality and finance teams.
Governance was structured around designated process owners and an internal center of excellence approach to manage process model validation, variant management and regular cadence for conformance reviews. Rollout was organized as a phased analytics enablement program to embed process mining outputs into operational review cycles and continuous improvement routines.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Cisco Systems | Legacy | Cisco Webex Meetings | Audio Video and Web Conferencing | Collaboration | n/a | 2020 | 2020 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Adobe Systems | Legacy | Adobe Experience Cloud | Customer Experience | CRM | n/a | 2019 | 2019 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Content Delivery Network | IaaS |
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2020 | 2020 |
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