List of LatentView MigrateMate Customers
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Since 2010, our global team of researchers has been studying LatentView MigrateMate customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased LatentView MigrateMate for Data Migration from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using LatentView MigrateMate for Data Migration include: Unilever, a United Kingdom based Consumer Packaged Goods organisation with 115964 employees and revenues of $71.27 billion and many others.
Contact us if you need a completed and verified list of companies using LatentView MigrateMate, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The LatentView MigrateMate customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Unilever | Consumer Packaged Goods | 115964 | $71.3B | United Kingdom | LatentView Analytics | LatentView MigrateMate | Data Migration | 2023 | n/a |
In 2023, Unilever engaged LatentView Analytics and implemented LatentView MigrateMate to support Data Migration activities within its DataLab ecosystem for the companys global R and D program. The deployment of LatentView MigrateMate is described in the context of enabling analytics and AI for in silico R and D and advanced analytics workflows across Unilever research environments.
LatentView MigrateMate was applied with standard Data Migration capabilities including automated data discovery and profiling, schema harmonization and mapping, staged ingestion pipelines, transformation and validation engines, and metadata capture with lineage tracking. The implementation emphasized repeatable migration patterns and data quality gates to prepare research datasets for downstream analytics and model training, with LatentView MigrateMate referenced by name throughout the configuration and operational documentation.
Architecturally the work is positioned inside Unilevers DataLab ecosystem, with LatentView MigrateMate operating as the migration and modernization layer feeding DataLab analytics and AI platforms. The implementation used cloud native ingestion and orchestration patterns to land, stage, and transform R and D datasets, and it integrated with DataLab pipelines that support advanced analytics and in silico experimentation across Unilevers global research sites.
Governance and rollout focused on enabling data stewardship and validation workflows tied to R and D processes, with phased adoption across the global R and D program and standardized migration playbooks to ensure consistency. Operational ownership and change controls were aligned to research data governance, with LatentView MigrateMate used to enforce mapping standards, validation gates, and metadata capture for ongoing analytics and AI use cases.
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