Trio Data Engine

Preparing data for downstream analytics

The perfect processing data hub for high volume XML/JSON - taking XML data from multiple sources, and preparing it for downstream analysis by a choice of BI applications or consumption by revenue management and AI systems.

Data Challenges

Enterprise applications generate big data
Created and stored on variety of system/formats
Transaction data (request/reply) often in XML/JSON
Raw data needs careful cleansing, matching and processing
Data complexity and scale make analysis difficult
Challenges in getting prepared data in a timely manner
Struggle with analytic processes that don’t yield the insights needed

Trio Solution

Agnostic way of collecting, preparing and aggregating API transaction data for downstream advanced analytics
Pushes XML data in right formats into other BI platforms
Ability to take complex data and transform it for analysis speedily and at scale
Expertise in scalable API monitoring and XML/JSON analytics
Ability to take data from a variety of sources (IBE, CRS or PSS)
Platform for collecting, normalising and preparing data
Ability to aggregate large data volumes for analysis

Data Challenges

Enterprise applications generate big data
Created and stored on variety of system/formats
Transaction data (request/reply) often in XML/JSON
Raw data needs careful cleansing, matching and processing
Data complexity and scale make analysis difficult
Challenges in getting prepared data in a timely manner
Struggle with analytic processes that don’t yield the insights needed

Trio Solution

Agnostic way of collecting, preparing and aggregating API transaction data for downstream advanced analytics
Pushes XML data in right formats into other BI platforms
Ability to take complex data and transform it for analysis speedily and at scale
Expertise in scalable API monitoring and XML/JSON analytics
Ability to take data from a variety of sources (IBE, CRS or PSS)
Platform for collecting, normalising and preparing data
Ability to aggregate large data volumes for analysis

Benefits

Well prepared data for analysis maximises its intelligence potential
Getting large-scale XML data fit for analysis and enterprise-wide sharing

Reduces time and complexity of preparing raw XML for BI analysis
Delivering complete and consistent data to ensure accuracy for analysis

Versatile and highly scalable platform to accommodate growth
Helping to leverage the rich insights embedded in complex XML data

How Trio Data Engine Works

Trio Data Engine acts as a processing hub for a variety of functions such as cleansing, extraction, translation, aggregation, retention and analysis. The prepared data can then be fed into a variety of other BI systems for further analysis and consumer presentation to extract insights for business. Alternatively, the Trio Engine’s own analytics and presentation layer can be used for this purpose.

The Processes

Collection

The Trio Engine captures the raw data (unobtrusively and without impact on servers or networks) from cloud or on premise sources including networks, cloud based object stores or big data message queues.

Cleansing

Data cleansing involves identifying and correcting messy, raw data, such as errors and anomalies. Taken from disparate sources, the data is cleansed and put into a consistent unified format to adhere to defined schemas

Extraction

Using business rules or look-up tables, the data is extracted and blended from different data sources into a homogenous format. Transactional data is merged with static data that defines products, clients and other business entities

Translation

Our experts in travel data work with your team to define the optimised and meaningful meta data descriptions and data relationships that give you the right data you need for further analysis. Data can be enriched to produce additional data sets that make it easier for your downstream processes.

Aggregation

Big data is expressed in a summary form. With large volumes of raw transactions, reporting is based on aggregated information. Getting aggregation and data enrichments right can generate significant performance benefits, with inherent improvements in analysis and reporting capabilities.

Retention

Trio Data Engine pushes data to decision making systems, but can manage some retention as needed. If the output system is focused on dynamic pricing, its ability to store large scale search data is limited but the output might benefit from storing some trend metrics such as monthly averages or gradients.

Interested in finding out more?

request a demo

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