Kerzner – Luxury Hospitality
Streamlined Data
Warehousing on
BigQuery
“We needed a scalable way to unify all our marketing data and turn it into actionable insights.”
THE CHALLENGE
Kerzner manages large volumes of marketing data from GA4, Salesforce, Sitecore and multiple media platforms.
Each source operates in isolation, making it difficult for marketing teams to analyze digital performance consistently. Reporting took a lot of time, data was fragmented and insights were disconnected. Without a central platform, analysts depended on manual exports and siloed tools.
Each source operates in isolation, making it difficult for marketing teams to analyze digital performance consistently. Reporting took a lot of time, data was fragmented and insights were disconnected. Without a central platform, analysts depended on manual exports and siloed tools.
DISCIPLINES
Data Engineering, Data Warehousing, Digital Analytics, Cloud Architecture, Data Governance
OUR APPROACH
Centralized Data Infrastructure
for Smarter Insights
Uptimal started by auditing all marketing and customer data sources to identify what matters most. We helped Kerzner to choose the right tech stack, and then set up a central data warehouse using BigQuery. We connected and standardized all key data sources, including GA4, Salesforce, media platforms and Sitecore.
We then built automated pipelines, set up quality assurance checks and implemented alerting systems to catch anomalies. Finally, we created ready-to-use aggregated tables to enable access through Power BI, so any analyst can use them to explore and report on the data.
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Data Source Audit & Design
We analyzed Kerzner’s marketing and CRM data ecosystem, identifying key sources including GA4, media platforms, Salesforce and Sitecore. This allowed us to define a unified architecture tailored for cross-platform reporting and analytics. -
Data Integration & Automation
We developed automated pipelines to extract and normalize data from each platform into BigQuery. We also implemented self-QA and anomaly detection systems to ensure accuracy and reliability across all sources. -
Data Warehouse Build
We set up a centralized, scalable data warehouse in BigQuery. From there, we created analyst-ready aggregated tables and enabled seamless access through Power BI, empowering Kerzner’s teams to explore, visualize and report from a single, trusted environment.
“Centralizing data across platforms
required close collaboration with
all stakeholders to define clear goals
and unlock business value at scale.”
Senior Data Engineer
RESULTS
Goals accomplished!
Kerzner now works from a single source of truth. All marketing data flows into BigQuery, QA systems keep it clean and dashboards surface actionable insights. The new setup reduces manual work, speeds up reporting and opens the door to more advanced use cases like attribution models, retargeting and booking predictions.
+1
unified marketing data hub ready to scale
99%
reliable and analysis-ready data across all sources
+70%
less manual work on reporting
unified marketing data hub ready to scale
reliable and analysis-ready data across all sources
less manual work on reporting
Get in touch
Questions? A project in mind? Talk to us.
- Analytics, tracking or data questions: real humans answer, fast
- Enterprise: audits, sGTM, GA4 360, BigQuery and MMM engagements
- Tell us your stack and goals, we reply within one business day