Success Case | Data Management Solution to boost Governance and Analytics, cutting Manual Efforts by 50%
A leading investor in holiday hotels in Southern Europe, with 21,352 rooms across Spain, Italy, Greece, and Portugal.
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The Challenge
Holiday Hotels Company struggled with managing an increasing volume of Excel files, leading to frequent errors and data retrieval issues. Additionally, their specialized SaaS solution for hotel operations lacked integration with external market data and could not deploy ML models for enhanced data value and support for hotel managers.
The Solution
Keepler deployed a comprehensive Data Management solution on Azure enhancing data governance and enabling advanced analytics.
- Transition from heavy Excel users to a data consumption model based on centralized repositories.
- Collaboration with the client to identify and develop new ML use cases, such as dynamic price optimization and automatic real estate potential evaluation.
- Implementation of a scalable and flexible Data Lake architecture to process and present information from various internal and external sources across different business use cases.
Business Impact
- The centralized Data Management platform reduced manual time by over 50%, freeing the team for strategic tasks.
- Data-related errors decreased by 60%, leading to a more reliable and accurate data environment.
- Productivity increased by up to 40% in some departments thanks to streamlined data management.
- Estimated revenue increase of 15% within the first year of deployment, demonstrating a substantial ROI.
- Enabled data-driven decisions, reducing operational costs and creating a more agile business strategy.
Keepler is a full-stack analytics services company specialized in the design, construction, deployment and operation of advanced public cloud analytics custom-made solutions. We bring to the market the Data Product concept, which is a fully automated, public cloud services-based, tailored software that adds advanced analytics, data engineering, massive data processing, and monitoring features. In addition, we help our customers transition to using public cloud services securely and improve data governance to make the organization more data-centric.
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