Reported impact
Business outcome
Reported outcomes include 6x Faster data pipelines enables faster decision making; 6x Faster pipelines:.
- Productivity Improvement
DatabricksMedia and EntertainmentData Lake / Data Warehouse ModernizationMarketing PersonalizationAI and Machine LearningCloud MigrationData AnalyticsData PlatformProductivity Improvement2026 DatabricksDB#ff3621Media and EntertainmentUnited StatesShowtime wanted to leverage data to drive content strategy, but they struggled with scaling limitations of legacy systems and inefficient data pipelines. Unfortunately, legacy technology architectures were pulling teams…6x Faster data pipelines enables faster decision makingSep 30, 20266Data Lake / Data Warehouse Modernization|Marketing PersonalizationDatabricks Data + AI Platform0 2026-09-30 6
Showtime
Data Lake / Data Warehouse Modernization · Marketing Personalization
Showtime wanted to leverage data to drive content strategy, but they struggled with scaling limitations of legacy systems and inefficient data pipelines. Unfortunately, legacy technology architectures were pulling teams away from high-value data science activities.
6x Faster data pipelines enables faster decision making
6x Faster pipelines:
Solution
Showtime wanted to leverage data to drive content strategy, but they struggled with scaling limitations of legacy systems and inefficient data pipelines. With the Databricks platform, they now have an actionable view into the consumer journey to inform programming and content with the goal of increasing engagement while lowering churn. The Databricks platform provides Showtime with a fully managed service that has greatly simplified data engineering and improved the productivity of their data science teams. Now they are able to tap into the insights within their rich pool of data to uncover opportunities to drive viewer engagement and reduce churn. Simplified ML Lifecycle: MLflow allows them to streamline the entire ML lifecycle.
Data flow
Customer, product, and engagement data lands in Databricks, is transformed in the lakehouse.
Solution architecture
- Compute
- Databricks Data + AI Platform Provides the shared lakehouse environment for ingestion, engineering, analytics, and AI workloads.
Architecture clues
- Runs on AWS.
Evidence from the source
6x Faster data pipelines enables faster decision making
6x Faster pipelines:
Showtime wanted to leverage data to drive content strategy, but they struggled with scaling limitations of legacy systems and inefficient data pipelines.
The Data Strategy team at Showtime is focused on democratizing data and analytics across the organization.
With the Databricks platform, they now have an actionable view into the consumer journey to inform programming and content with the goal of increasing engagement while lowering churn.
Transparency Evidence & methodology
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
How scores are calculated
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Customer reference value85/100
- Problem clarity20/20Measures whether the customer's operational problem is specific enough to compare.
- Implementation depth20/25Rewards named components, data flow, integrations, and architecture detail.
- Outcome specificity20/20Measures whether the reported benefit is concrete rather than a generic claim.
- Quantified impact25/252 metrics describe measurable impact.
- Deployment scale0/10Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
- Source authority20/25The main evidence is an official vendor-published customer story.
- Claim traceability21/2510 of 12 key fields link to a named source.
- Direct evidence20/205 direct source quotes retained.
- Date provenance10/10The publication date comes from the source page or publisher.
- Source transparency8/101 source reference document publisher, URL, authority, retrieval, and supported fields.
- Implementation specificity10/10Rewards source-backed components, data flow, quantified impact, and a specific outcome.
Traceability
Sources & provenance
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
- https://www.databricks.com/customers/showtime-clonedDatabricksFirst-party
Showtime customer story
Supports- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes
- Publication date
Date evidence
- Published on source page Sep 30, 2026 · Databricks · First-partyOpen date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.
Related
Similar use cases
Databricks Sample Jan 14, 2025 Seven West Media Legacy systems made it difficult to access real-time insights, slowing down decision-making and leaving some revenue opportunities on the table. Workflows that once took hours of manual effort are now possible in… $16M Incremental ad revenue from re-engagement campaigns Agent Bricks Databricks Sample Jul 24, 2026 Highstreet Insurance Partners To meet that challenge, Highstreet created Ora, a proprietary, unified digital intelligence experience on Databricks that brings together trusted data, analytics, intelligent automation, and Al in a single environment. Imagine the daunting task of integrating billions of disparate data points, from over 200 local agency… Delta Lake · Lakeflow Jobs · Unity Catalog Databricks Sample Jul 21, 2026 TK Elevator However, fragmented systems and limited access to IoT data made it difficult to scale these initiatives. 20,000+ Maintenance tickets generated annually by Digital Operations Centers Lakeflow Connect