H\ZER

Media Monitoring · Advanced Analytics

Advanced Analytics

Smarter decisions, faster — on a feed your engineers will actually thank you for.

Analytics are only as good as the data underneath them. Hizer delivers a normalized, enriched, real-time news stream — with entities, topics, events, sentiment and language already attached — so your dashboards, models and reports stop fighting the input and start answering questions.

What you get

Structured signal, not raw text

Every article ships with entities, topics, events, sentiment, risk categories, language and source metadata — so analytics start from structured fields, not from unparsed bodies.

Trend, anomaly and narrative tracking

Volume, tone and event activity are continuously aggregated by topic, entity, country and source — so share of voice, sentiment shifts, anomalies and narrative trends are computable out of the box.

Engineer-friendly delivery

Stable schemas, deduplicated articles, canonical entity IDs and clean language detection — over the News API for query workflows and Firehose for full-stream ingestion.

Where it earns its keep

Share-of-voice and reputation analytics

Build cross-market share-of-voice and sentiment dashboards on a feed that is comparable across languages and source types — and traceable back to the underlying coverage.

Internal data products and AI assistants

Power internal copilots, alerting systems, search experiences and recommendation models with a structured news layer — the kind of input that keeps RAG and analytics honest.

Executive and client reporting

Turn live coverage into recurring reports for leadership and clients — with consistent definitions, repeatable queries and zero manual cleaning.

Your questions, answered

How is this different from a raw news feed plus our own NLP?

You can absolutely add your own enrichment, but most teams find that running NLP across millions of multilingual articles a day — and keeping it consistent — is more expensive than the data itself. Hizer ships pre-enriched at scale, so your analytics team works on signal, not pipelines.

Can we mix our own taxonomy with yours?

Yes. Standard topic and event taxonomies are provided, and your own business themes can be layered on top — so dashboards reflect how your team actually thinks about the world.

Are entities consistent enough for analytics?

Entities are resolved to canonical identities across spellings, languages and contexts — so the same brand, person or government appears as the same entity everywhere in your aggregations.

How does this fit into our existing stack?

The News API serves query-based workflows; Firehose serves full-stream ingestion into your warehouse, lake or stream platform. Either way, the same enriched schema flows in — no special-case wiring per use case.

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