List of TimeXtender Customers
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Denmark
Since 2010, our global team of researchers has been studying TimeXtender 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 TimeXtender for Data Warehouse 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 TimeXtender for Data Warehouse include: Vodafone Group, a United Kingdom based Communications organisation with 88780 employees and revenues of $43.89 billion, Pandora Denmark, a Denmark based Retail organisation with 37000 employees and revenues of $4.63 billion, Komatsu Australia, a Australia based Manufacturing organisation with 3340 employees and revenues of $1.30 billion and many others.
Contact us if you need a completed and verified list of companies using TimeXtender, 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 TimeXtender 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 | Insight Source |
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Komatsu Australia | Manufacturing | 3340 | $1.3B | Australia | TimeXtender | TimeXtender | Data Warehouse | 2021 | n/a | In 2021, Komatsu Australia implemented TimeXtender as a Data Warehouse to create a future-proof information data estate in Microsoft Azure. TimeXtender consolidated Dynamics AX, KOMTRAX telemetry, and LIMC sampling data to enable near real-time operational visibility for manufacturing and operations across Australia. Implementation centered on a cloud-native data estate architecture in Azure, with TimeXtender orchestrating automated ingestion, transformation, and metadata management to produce consumable datasets and semantic models. Dashboards and operational reports were provisioned within weeks, delivering rapid time-to-value for production floor and operations stakeholders. The project used TimeXtender capabilities to standardize data models and automate refresh schedules for recurring operational queries. The solution centralized data into Azure SQL Managed Instance, which was explicitly associated with a reported 25 to 30% performance improvement after migration. Integrations were built to surface Dynamics AX enterprise records, KOMTRAX machine telemetry, and LIMC sampling data into a unified Data Warehouse for consolidated analysis. Operational coverage focused on manufacturing and operations functions in Australia, enabling cross-source correlation of production metrics and equipment telemetry. Governance and rollout emphasized fast iterative delivery, with dashboards available in weeks and data pipelines governed for repeatable refresh and traceable lineage. The deployment reported approximately 49% cost savings and positioned TimeXtender as the central orchestration and cataloging layer in the Data Warehouse to support ongoing operational analytics. | |
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Pandora Denmark | Retail | 37000 | $4.6B | Denmark | TimeXtender | TimeXtender | Data Warehouse | 2021 | n/a | In 2021, Pandora Denmark implemented TimeXtender as a Data Warehouse to establish a controllable, uniform data foundation. The implementation targeted consolidation of multiple ERPs and many retail data providers to accelerate analytics workflows and to secure governed access for retail and business intelligence use cases. TimeXtender was used to centralize ingestion, transformation and cataloging, enabling template driven ETL automation and metadata management consistent with Data Warehouse operational patterns. Development teams report they now spend about 20% of the time previously used on data preparation, reflecting a shift from manual cleansing toward pipeline configuration and validation within the TimeXtender environment. Operational coverage included retail and BI consumers across Denmark and global operations, with access provisioned for both internal and contractor BI users. The deployment consolidated feeds from several ERP systems and numerous retail data providers into a single governed consumption layer to support consistent reporting. Governance was formalized through the controlled data foundation, providing faster governed access and auditability for analytics consumers while centralizing data model and access policies within the TimeXtender Data Warehouse. The rollout emphasized standardization of data definitions and role based access provisioning to support repeatable reporting and contractor access governance. | |
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Vodafone Group | Communications | 88780 | $43.9B | United Kingdom | TimeXtender | TimeXtender | Data Warehouse | 2010 | n/a | In 2010, Vodafone Group implemented TimeXtender as a Data Warehouse to establish continuous monitoring and data quality capabilities for Vodafone Iceland finance. The TimeXtender deployment was scoped explicitly to billing data quality and to support financial close and fraud and revenue-leakage detection for the Iceland finance organization. The implementation leveraged TimeXtender continuous monitoring and data quality functionality, implementing automated validation, staging and transformation workflows, and rule-based anomaly detection to identify billing inconsistencies. Functional modules emphasized billing data reconciliation and close orchestration, aligning data pipelines and validation logic to month-end accounting workflows. Data warehouse practices such as ETL automation and data modelling were applied to enforce data consistency for finance reporting and revenue assurance. Operational coverage was limited to Vodafone Iceland finance and billing datasets, supporting end-of-month accounting and revenue assurance processes within that region. Governance incorporated automated control points and monitoring dashboards to surface data quality issues during the financial close, enabling more rapid remediation by finance teams. Rollout focused on finance users in Iceland rather than a global enterprise sweep. Outcomes reported from the TimeXtender Data Warehouse implementation include a 74% drop in billing data errors within 12 months and a reduction in end-of-month accounting time from 4 days to 3 hours. These results directly supported fraud and revenue-leakage detection and improved billing data quality for Vodafone Iceland finance. |
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