Suwon-si, 16674,
South Korea
Samsung Electro-Mechanics Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Samsung Electro-Mechanics and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 11866 Samsung Electro-Mechanics employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Samsung Electro-Mechanics has purchased the following applications: Microsoft Power BI for Analytics and BI in 2021, Slack Connect for Collaboration in 2022, Microsoft SQL Server 2014 for Database Management in 2014 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Samsung Electro-Mechanics is running and its propensity to invest more and deepen its relationship with Microsoft , Salesforce , Google 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 Samsung Electro-Mechanics revenues, which have grown to $7.24 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 Samsung Electro-Mechanics 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 |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Power BI | Analytics and BI | Analytics and BI | n/a | 2021 | 2021 |
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Salesforce | Legacy | Slack Connect | Collaboration | Collaboration | n/a | 2022 | 2022 |
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft SQL Server 2014 | Database Management | IaaS | n/a | 2014 | 2014 | In 2014, Samsung Electro-Mechanics implemented Microsoft SQL Server 2014 as its Database Management platform. The deployment in South Korea targeted Statistical Process Control systems used for manufacturing quality control, with a focus on stabilizing transactional processing and analytics workloads. The implementation leveraged SQL Server 2014 In-Memory OLTP and clustered columnstore indexes, using memory-optimized tables and natively compiled objects to accelerate transaction throughput, and columnstore compression with batch-mode processing to improve query and reporting performance. Microsoft SQL Server 2014 was configured to consolidate operational SPC tables alongside reporting and analytics within a single Database Management environment to reduce latency between operational data capture and analytics consumption. Operational coverage centered on manufacturing lines and quality-control functions at Samsung Electro-Mechanics sites in South Korea, bringing both operational transaction paths and analytical scans under the Microsoft SQL Server 2014 Database Management instance. Governance and rollout details were oriented around database-level configuration and indexing strategies to support sustained high-throughput SPC workloads. The deployment delivered reported outcomes of up to 24x transactional performance improvement and 22x faster query and reporting, stabilizing manufacturing data workloads and analytics through the combined use of In-Memory OLTP and clustered columnstore indexes in Microsoft SQL Server 2014. | |
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Domain Name System (DNS) | IaaS |
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2020 | 2020 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Marketing Analytics | CRM |
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2016 | 2016 |
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Marketing Analytics | CRM |
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2022 | 2022 |
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Tag Management | CRM |
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2020 | 2020 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Secure Sockets Layer (SSL) | CyberSecurity |
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2020 | 2020 |
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