A media & entertainment analytics client needing a structured, region-by-region view of streaming catalog availability — titles, seasons, and episodes — across 20+ markets, from compliant, publicly available and licensed sources.

Industry

Media & Entertainment • Content Analytics

Region

Global — 20+ markets

Sourcing

Public / licensed catalog data (compliant)

20+

Regions Covered

Title → Episode

Catalog Depth

Cross-Source

Completeness Reconciliation

Structured

Clean Data Delivery

Contact Sales

Client Overview

The client is a media and entertainment analytics business that needed a structured, comparable view of how streaming catalogs differ across markets. Streaming availability is highly region-specific — a title present in one country's catalog may be absent in another — and the client wanted a reliable, region-by-region map of what is available, at the title, season, and episode level, across more than 20 markets.

Two priorities defined the engagement. First, sourcing had to be compliant — built only on publicly available catalog information and licensed/official availability sources, respecting platform terms. Second, the dataset had to be as complete as possible, because partial catalog coverage undermines any downstream availability analysis.

The Challenge

Region-specific catalogs. Availability varies significantly by country, so 20+ markets each needed independent, geo-accurate capture rather than one global snapshot.
Hierarchical content structure. Series expand into seasons and episodes, so the data model had to preserve the full title → season → episode hierarchy, not just top-level titles.
Catalog completeness. Availability data drawn from any single source is rarely exhaustive; achieving high coverage required combining and reconciling multiple compliant sources.
Title matching across sources. The same title can be named or formatted differently across sources and regions, so robust matching was needed to avoid duplicates and mismatches.
Compliant sourcing. All data had to come from publicly available catalog pages and licensed/official availability sources, with respectful, rate-limited access that honours platform terms.
Consistent, comparable schema. Data from different sources and regions had to normalise into one schema so markets could be compared like-for-like.

The Solution by Actowiz Solutions

Actowiz designed a compliant, multi-source catalog-intelligence pipeline that captures availability from publicly accessible and licensed sources, reconciles them for completeness, and normalises everything into one comparable, hierarchical schema.

Approach

Compliant multi-source capture. Availability is assembled from publicly available catalog information and licensed/official sources per region, using respectful, rate-limited access that honours platform terms of service.
Cross-source reconciliation. Because no single source is exhaustive, records from multiple compliant sources are merged and reconciled, materially improving catalog completeness over any one source alone.
Hierarchical modelling. Each title is modelled with its full structure — series, seasons, and episodes — preserving the relationships needed for granular availability analysis.
Robust title matching. Fuzzy and identifier-based matching aligns the same title across sources and regions, preventing duplicates and mismatches.
Regional normalisation. A per-region availability model records where each title/season/episode is present, normalised into one comparable schema across all 20+ markets.
Structured delivery. Clean, validated output delivered as structured data (CSV/JSON) or spreadsheet, ready for downstream analytics.

Data Attributes

Field	Description
title	Title name (movie or series)
content_type	Movie / Series
season_number	Season number (series)
episode_number / title	Episode identifier and name (series)
region	Market/country for the availability record
is_available	Availability flag for that title/episode in that region
genre	Genre/category, where available
maturity_rating	Content rating, where available
release_year	Original release year, where available
source_ref	Which compliant source(s) confirmed the record

Implementation Workflow

Step	Phase	Description
1	Scope & Region Set	Confirm the 20+ target markets and the compliant sources to be used per region.
2	Schema Design	Define one hierarchical title → season → episode schema with a per-region availability model.
3	Multi-Source Capture	Capture availability from public and licensed sources per region with respectful access.
4	Matching & Reconciliation	Align titles across sources/regions; merge for completeness; remove duplicates.
5	QA & Completeness Checks	Validate coverage, hierarchy integrity, and region accuracy.
6	Delivery	Deliver clean, normalised structured data across all 20+ regions.

Sample Output (Illustrative)

title	type	season / ep	region	available
Sample Series A	Series	S1 · E1	US	Yes
Sample Series A	Series	S1 · E1	CA	Yes
Sample Series A	Series	S1 · E1	DE	No
Sample Film B	Movie	—	JP	Yes

The same title is tracked across every region, so presence/absence differences between markets are directly comparable — the core signal the client needed.

Quality Assurance

Validation Check	Rule Applied
Hierarchy integrity	Every episode maps to a valid season and parent series
Region accuracy	Availability recorded against the correct market
Cross-source reconciliation	Multiple compliant sources merged for maximum completeness
Title de-duplication	Matched titles collapsed to one canonical record
Completeness reporting	Coverage measured per region; gaps flagged transparently
Compliant sourcing	Only public/licensed sources; respectful, terms-honouring access

Results & Business Impact

Region-by-region availability map. A structured, comparable view of catalog differences across 20+ markets that the client did not previously have.
Higher catalog completeness. Cross-source reconciliation materially improved coverage versus any single source, strengthening downstream analysis.
Granular content intelligence. Title → season → episode depth enabled analysis well beyond top-level title counts.
Compliant and defensible. Built on public and licensed sources with respectful access — a dataset the client can use with confidence.
Analytics-ready delivery. A clean, normalised schema loaded directly into the client's analytics workflow without transformation.

Why the Client Chose Actowiz Solutions

Compliance-first design. A sourcing strategy built around public and licensed data and platform terms — not workarounds.
Completeness through reconciliation. Multi-source merging engineered specifically to close catalog gaps.
Structure-preserving data model. Full title/season/episode hierarchy across every region.
Comparable, normalised output. One schema for clean cross-market comparison.

Project at a Glance

Metric	Value
Industry	Media & Entertainment • Content Analytics
Coverage	20+ global markets
Catalog Depth	Title → season → episode
Sourcing	Public / licensed availability data (compliant)
Completeness	Cross-source reconciliation
Data State	Matched, deduplicated, normalised
Output Format	Structured data (CSV / JSON) or spreadsheet

Client Feedback

"We needed a clean, comparable read on catalog availability across a lot of markets — and we needed it sourced the right way. Actowiz gave us both: high completeness through multiple sources, structured down to the episode, and a dataset we're comfortable relying on."

— Head of Insights, Media & Entertainment Analytics

Need compliant streaming catalog intelligence?

Actowiz Solutions builds compliant, multi-source content and availability datasets with rigorous QA and completeness reconciliation. Visit actowizsolutions.com to discuss your data requirement.

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