Profile
EXCEL IN BI
🏢 Large enterprise
Last updated: 27 Aug 2024 |
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In Excel in Bi we make your team speak the data language. Reach out to us today to learn more about Data Workshops
Industry & specialities
Details
Headquarter New Zealand |
Countries of operation New Zealand |
Year founded 2023 (1 year) |
Funding status Publicly listed on stock exchange |
Company type MNC / Large Enterprise |
*This profile is created/compiled by The Grid to the best of our research ability, it is not currently maintained by or endorsed by .
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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0. Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
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- MNCs / Large Enterprises in Singapore
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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.
Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.