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Decision Intelligence Pt2: Sonesta Hotels & Resorts HotelIQ Case Study

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Conteúdo fornecido por Revenue Hub. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Revenue Hub ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
Hi, welcome to another of our case study discussions.
Today is the 2nd of our 2 case studies looking at how the adoption of a business intelligence and analytics tool can help hotels make more accurate data informed decisions, leading to increased revenue and profitability.
Joining us for this conversation is:
🔹 Apo Demirtas, Founder & CEO of HotelIQ
🔹 Gul Turkmenoglu, Senior Director of Operations at Sonesta Hotels & Resorts

We hear how Gul identified a lot of decisions were being made on, what in reality, was limited information, and how adopting a business intelligence tool was such a massive game changer for her team and property.
She also explains how the ability to not only look at data from a group head office perspective, but to drill down to a property level, has been invaluable for strategic decision making.
Finally we touch on the ease of use and how HotelIQ has become an integral tool used on a daily basis.
NB: HotelIQ are one of our Expert Partners

Hope you enjoy the discussion👍
👀 If you would like to watch the video of our discussion
Here is the YouTube link: https://youtu.be/dSoaTMz7UYY
🗣 Feel free to drop us a line with any questions or comments.
We’re always interested to hear from you and happy to follow up with our guests on any questions.
We are also keen to hear of topics you might like discussed and guests you would like to hear from.
You can reach us at: [email protected]
👣 HOW TO FOLLOW US

LinkedIn: https://www.linkedin.com/company/revenue-hub
Facebook: https://www.facebook.com/revenuehub/
Twitter: https://twitter.com/revenue_hub
YouTube: Subscribe Link
  continue reading

176 episódios

Artwork
iconCompartilhar
 
Manage episode 366069471 series 3270221
Conteúdo fornecido por Revenue Hub. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Revenue Hub ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
Hi, welcome to another of our case study discussions.
Today is the 2nd of our 2 case studies looking at how the adoption of a business intelligence and analytics tool can help hotels make more accurate data informed decisions, leading to increased revenue and profitability.
Joining us for this conversation is:
🔹 Apo Demirtas, Founder & CEO of HotelIQ
🔹 Gul Turkmenoglu, Senior Director of Operations at Sonesta Hotels & Resorts

We hear how Gul identified a lot of decisions were being made on, what in reality, was limited information, and how adopting a business intelligence tool was such a massive game changer for her team and property.
She also explains how the ability to not only look at data from a group head office perspective, but to drill down to a property level, has been invaluable for strategic decision making.
Finally we touch on the ease of use and how HotelIQ has become an integral tool used on a daily basis.
NB: HotelIQ are one of our Expert Partners

Hope you enjoy the discussion👍
👀 If you would like to watch the video of our discussion
Here is the YouTube link: https://youtu.be/dSoaTMz7UYY
🗣 Feel free to drop us a line with any questions or comments.
We’re always interested to hear from you and happy to follow up with our guests on any questions.
We are also keen to hear of topics you might like discussed and guests you would like to hear from.
You can reach us at: [email protected]
👣 HOW TO FOLLOW US

LinkedIn: https://www.linkedin.com/company/revenue-hub
Facebook: https://www.facebook.com/revenuehub/
Twitter: https://twitter.com/revenue_hub
YouTube: Subscribe Link
  continue reading

176 episódios

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