AI Buyer Insights:

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of Dativery Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Antoshka Ukraine Retail 1200 $60M Ukraine Dativery Dativery Extract, Transform, and Load (ETL) 2021 n/a In 2021, Antoshka Ukraine implemented Dativery, an Extract, Transform, and Load (ETL) application, to support HR-driven continuous learning, onboarding and product training for retail sales staff and store managers across Ukraine. The deployment centralized the company Knowledge Base, automated employee registration and reporting, and delivered analytics used to improve onboarding quality and training efficiency. Implementation centered on ETL workflows that extracted learning interaction and completion data, transformed records to a consistent taxonomy and role mapping, and loaded consolidated datasets into a central training dataset accessible to HR and learning teams. Dativery was configured to orchestrate scheduled data pipelines and to normalize content metadata to support unified search and reporting across store locations. Operational scope covered retail sales staff and store managers across Ukraine, with HR driving user provisioning and content governance while training teams owned curriculum and assessment workflows. The deployment enabled automated registration flows and centralized reporting that supported iterative updates to onboarding programs and product training content. Governance established HR as the primary owner of the Knowledge Base and reporting outputs, with training leads responsible for content updates and quality reviews. The project delivered centralized analytics used to improve onboarding quality and training efficiency, and it automated registration and reporting processes as documented by Antoshka.
Fayette County Family Ymca Non Profit 30 $2M United States Dativery Dativery Extract, Transform, and Load (ETL) 2025 n/a In 2025, Fayette County Family Ymca implemented Dativery, an Extract, Transform, and Load (ETL) application, to centralize data orchestration for finance and operations. The Dativery deployment focused on automated ingestion, schema normalization, transformation workflows, and staging consolidated datasets to support reporting and downstream operational processes, leveraging typical ETL functional patterns for extract, transform, and load pipelines. Separately, Fayette County Family Ymca implemented Daxko Accounting to replace manual, paper-based financial processes and to integrate finance with its Daxko-driven website, mobile app, and operations tools. That finance-centric deployment reduced manual work, tightened financial controls, and increased local search visibility and member self-service in the Fayette County region as documented in implementation notes. Operational scope centered on finance and operations teams supporting local Fayette County activities, with governance emphasizing finance-aligned process redesign, scheduled data transformation jobs, and automation of previously paper-based workflows. The combined signal of an ETL platform, Dativery, alongside a dedicated finance application, Daxko Accounting, indicates a coordinated move to systematize financial data flows, standardize reporting inputs, and enforce controlled data ingestion and transformation schedules.
Kester Search Group Professional Services 25 $1M United States Dativery Dativery Extract, Transform, and Load (ETL) 2019 n/a In 2019, Kester Search Group implemented Dativery as part of an Extract, Transform, and Load (ETL) effort to automate candidate data ingestion and reduce manual profile maintenance. The US based rollout in Greenville, SC targeted resume parsing and job board view capture to strengthen the recruiting database and streamline ATS updates. The deployment included DaXtra Capture to automate resume parsing, update existing candidate profiles, and import job board views directly into Bullhorn ATS/CRM. DaXtra Capture was configured to normalize candidate fields, append or overwrite profile attributes, and support standard ETL cleansing and enrichment workflows consistent with Extract, Transform, and Load (ETL) practices. Integrations were explicit to Bullhorn ATS/CRM, creating an inbound data pipeline from paid job boards into the ATS and the firm database. Operational coverage centered on recruiters and sourcers in the Greenville office, with process adjustments to profile enrichment, candidate tagging, and sourcing workflows to accommodate continuous inbound feeds. Outcomes reported from the implementation included doubling of resumes imported, placements from the database increasing to nearly three times over time, and capture of 95 to 100 percent of paid job board candidate views, which the firm identified as improving job board ROI.
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FAQ - APPS RUN THE WORLD Dativery Coverage

Dativery is a Extract, Transform, and Load (ETL) solution from Dativery.

Companies worldwide use Dativery, from small firms to large enterprises across 21+ industries.

Organizations such as Antoshka Ukraine, Fayette County Family Ymca and Kester Search Group are recorded users of Dativery for Extract, Transform, and Load (ETL).

Companies using Dativery are most concentrated in Retail, Non Profit and Professional Services, with adoption spanning over 21 industries.

Companies using Dativery are most concentrated in Ukraine and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Dativery across Americas, EMEA, and APAC.

Companies using Dativery range from small businesses with 0-100 employees - 66.67%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 0%.

Customers of Dativery include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Dativery customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Extract, Transform, and Load (ETL).