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Title

Leading the multichannel entertainment and wagering business

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Leading the multichannel entertainment and wagering business | Databricks Skip to main content Login Why Databricks Discover For App Develop…

Company

Tabcorp

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…ciency 20%+ Improvement in data analyst productivity $1.75M In platform savings Tabcorp, a leading Australian wagering and entertainment company, serves 1 million digitally engaged customers through mobile apps, over 4,000 i…

Description

Tabcorp unified data on the Databricks Data + AI Platform to build a single customer view, an AI-powered risk scoring model for safer gambling, and a Next Best Experience recommendation engine that grew from 5 to 40+ production models, plus an in-house GenAI platform called Tab Intelligence built on Llama 3, delivering $1.75M in platform savings.

derived · high
…rse sources such as the Tab App, TAB.com.au, Sky Channel, clubs and racetracks. This integration enabled the creation of a single customer view, allowing end-to-end understanding of customer behavior across apps, retail venues and call centers. With these insights, Tabcorp unlocked the potential of their many touchpoints,…
…ge their entire machine learning lifecycle, from experimentation to deployment, helping them to build a comprehensive Next Best Experience (NBX) recommendation engine and expand the number of models in production from five to 40+. The NBX engine underpins Tabcorp’s efforts to improve customer engagement and…
…to unlock the untapped opportunity from their vast amount of unstructured data. Tab Intelligence, their in-house enterprise GenAI platform, was built using Databricks tools and is powered by generative AI models like Llama 3. Tab Intelligence leverages a RAG architecture that utilizes a large amount of u…
…ion and leveraged AI to deliver safer and better gaming experiences — all while saving $1.75 million in platform costs. Struggling with siloed data and fragmented customer view In the highly regulat…

Problem

Legacy systems created siloed data and inefficiencies that hampered customer understanding across digital and physical channels. It was taking Tabcorp days to piece together customer journeys because data was scattered across different systems.

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…. As Dr. Amy Shi-Nash, Chief Analytics and Data Officer at Tabcorp, explained, “It was taking us days to piece together customer journeys because our data was scattered across different systems. True customer obsession isn’t possible without the ability to connect and under…

Solution

Tabcorp adopted the Databricks Data + AI Platform, using Delta Lake to centralize data, Unity Catalog for access controls and regulatory compliance, Lakeflow Jobs to automate data pipelines, and MLflow to manage their ML lifecycle, building a Next Best Experience (NBX) recommendation engine and an in-house GenAI platform called Tab Intelligence powered by Llama 3 with a RAG architecture.

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…data, allowing for connected insights and seamless engagement across channels. By adopting Delta Lake, Databricks’ open source storage layer, Tabcorp centralized their data, ensuring consistent and reliable access for business users. This effort was further supported by Unity Catalog, which provided robust data…
…ralized their data, ensuring consistent and reliable access for business users. This effort was further supported by Unity Catalog, which provided robust data access controls and metadata management, enabling regulatory compliance and advancing responsible gambling initiatives. With a centralized single customer view and real-time data access, Tabcorp coul…
…mplexity and costs while fully transitioning to a modernized data architecture. Databricks Lakeflow Jobs automated complex data pipelines, ensuring smooth data flow and reliable data management. This modernization also enabled advanced machine learning (ML) capabilities, eq…
…ilt using Databricks tools and is powered by generative AI models like Llama 3. Tab Intelligence leverages a RAG architecture that utilizes a large amount of unstructured data from both Tabcorp and the industry, such as app and website product features, results and market statistics, call…

Business value

Tabcorp improved generosity efficiency from 70% to 90% over 12 months while reducing their $385M AUD annual budget by 12%, saved 20% of data analysts' time, achieved 3-5x productivity improvement with Tab Intelligence, and achieved significant cost savings by decommissioning seven legacy systems.

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…lized and data-empowered generosity recommendation engine has resulted in their efficiency improvement from 70% to 90% over 12 months while reducing the $385M AUSD annual budget by 12%, as reported in Tabcorp’s FY24 Annual Report. Additionally, the sophisticated,…
…automated workflows and created a self-service environment for business users — saving 20% of data analysts’ time, while enabling teams across leadership, marketing, technology, compliance and…
…hip, marketing, technology, compliance and operations to work more efficiently. The early adoption of their in-house Tab Intelligence demonstrated 3–5x productivity improvement. The success of these initiatives has strengthened Tabcorp’s focus on customer o…
…er obsession, business performance and efficiency and safer gambling practices. Tabcorp also achieved significant cost savings — $1.75 million — by decommissioning seven legacy systems, with plans for further consolidation. This simplified architecture enables streamlined data flows through the Databri…

Headline outcome

derived · high
…ion and leveraged AI to deliver safer and better gaming experiences — all while saving $1.75 million in platform costs. Struggling with siloed data and fragmented customer view In the highly regulat…

Industry

Media & Entertainment

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…elivering meaningful, data-driven customer experiences. Share this post Details Industry : Marketing , Media & Entertainment Use Case : Data Science Cloud : AWS Product : Agent Bricks , Unity Catalog Read…

Technology

Databricks, Agent Bricks, Delta Lake, Unity Catalog, Lakeflow Jobs, MLflow

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…data, allowing for connected insights and seamless engagement across channels. By adopting Delta Lake, Databricks’ open source storage layer, Tabcorp centralized their data, ensuring consistent and reliable access for business users. This effort was fu…

Use case type

Personalisation

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…abcorp could immediately gain an understanding of individual customer journeys, delivering contextual, relevant and personalized experiences at scale. As part of their transformation, the company decommissioned seven legacy syste…

Business functions

Marketing

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…However, fragmented systems led to data delays and gaps in customer experience. By partnering with Databricks, Tabcorp connected their data ecosystems, enhanced customer experiences, strengthened risk prevention and leveraged AI to deliver safer and better gaming experiences — all while saving $1.75 million in platform costs. Struggling with siloed data…

AI capabilities

Generative AI, Recommendation & Personalization, Predictive Analytics

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…locked the potential of their many touchpoints, enhancing customer experiences. AI-powered risk scoring further improved the ability to analyze customer behavior and take timely, appropriate action. Transforming data architecture to elevate customer experiences Tabcorp leverag…

Deployment model

Cloud

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…data, allowing for connected insights and seamless engagement across channels. By adopting Delta Lake, Databricks’ open source storage layer, Tabcorp centralized their data, ensuring consistent and reliable access for business users. This effort was fu…

Deployment options

cloud

classification · high
…data, allowing for connected insights and seamless engagement across channels. By adopting Delta Lake, Databricks’ open source storage layer, Tabcorp centralized their data, ensuring consistent and reliable access for business users. This effort was fu…

Country

Australia

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…ciency 20%+ Improvement in data analyst productivity $1.75M In platform savings Tabcorp, a leading Australian wagering and entertainment company, serves 1 million digitally engaged customers through mobile apps, over 4,000 i…
Capture details
Captured
07 Sept 2026, 06:04 UTC
Extractor
fetch-strip@1
Snapshot hash
835985023c82312213ccaf16a98d11bf57f268e3174cd561275102dccc8aa118