Intelligent data access via a tailored Search

Our software developer, Gazza Azhari, talks about Sitecore Search’s abilities to go beyond keyword matching to deliver fast, accurate results

 

Search has become more intelligent

Search, at its core, is the process of retrieving relevant information from datasets. This process uses algorithms that go beyond simple keyword matching and leverages techniques like indexing, ranking, and semantic analysis to deliver fast, accurate, and context-aware results. As an intelligent data access layer, search makes complex and distributed data instantly accessible.

 

Tailoring Search can unify data from multiple sources

What sets Sitecore Search apart is its flexibility to unify data from multiple sources into a single, high-performance, improved search experience. 

In our work for the Victorian Department of Transport and Planning’s Transport Victoria website, the challenge was to combine results from genuinely different content and data types into a single source. The index spans general web pages, forms, transport data, maps covering any Victorian address, timetables and station information; alongside major tools including journey planning and navigation, the myki portal and real-time disruptions. Each arrives from a different source, in a different shape, with different update frequencies. Previously this required calling multiple endpoints, which increased front-end complexity and impacted performance.

By leveraging Sitecore Search, as shown in Image 1, we indexed all these diverse data types from multiple sources into a centralised place, enabling the front end to retrieve comprehensive and relevant results through a single API call. This resulted in a significantly faster, more efficient and scalable experience.

Sitecore Search also supports custom relevance tuning, on-demand and scheduled indexing, built-in analytics and seamless integration with modern front-end libraries such as React, Next.js and Vue - making it ideal for modern, headless, performance-oriented architectures.

 
Illustration of source data feeding into Sitecore Search and the resulting output via a user facing website

Image 1: Illustration of the role of Sitecore Search in responding efficiently to a user search query

 

Sitecore Search speeds up and simplifies data integration and comes with analytics tools

With a tailored Sitecore Search setup, our clients gain faster data access, improved relevance, and personalised user experience – while reducing the number of direct API interactions on the front-end. This simplifies integration, cuts load times and boosts user engagement. 

Sitecore Search also provides robust analytics tools, such as a Sources Overview Report, shown in Image 2, that monitors indexing health through metrics like item indexed, dropped, and average index time. These insights empower teams to refine their indexing and content organisation strategies to drive better user interactions.

 
The Sources Overview Report provides metrics to monitor indexing health

Image 2: The Sources Overview Report monitors metrics that can be used to refine an indexing strategy

 

Sitecore’s modern Search tool has moved beyond simply searching for keywords, into actively reducing complexity to improve a site’s overall efficiency, improve content discoverability and enabling continuous improvement. With built-in analytics and behavioural insights, it also enables continuous iteration and optimisation of search performance across the site.

 

Search made this possible

Transport Victoria's digital estate had grown into a set of separate properties. Journey planning sat in one place, the myki portal in another, disruptions, timetables, forms and road rule information elsewhere again. Consolidating those services onto a single platform meant consolidating findability at the same time — a single front door with fragmented search behind it would have produced one website that still behaved like several.

Search is what made the consolidation hold together. A user looking for a station now gets station information, relevant timetables, nearby map data and any current disruption in one set of results, without the front end needing to know which underlying system holds which piece. Victorians no longer need to understand how transport services are organised in order to find what they need.

That is the practical difference between a website that hosts a lot of services and a platform that presents them as one.

Read the full Transport Victoria case study.

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