Customer Data Platform for Travel

t-Data

Customer data is your most valuable retailing asset
Travel retailers generate huge volumes of customer data across multiple channels and devices. Itineraries, fare searches, PNR’s, reservations, contact information, booking history, social media, customer feedback, comments and complaints – all of this data has the power to transform the retailing capability of your business, if you could unlock its value. OpenJaw t-Data is the Customer Data Platform for travel that unlocks your customer data to supercharge your transformation to a customer-centric travel retailer.

Acquire

Customer Data Acquisition

OpenJaw t-Data Acquire extracts customer data from any source system and then applies a sophisticated probabilistic Identity Resolution algorithm to create a unified profile for every customer.

Transactional data such as PNR data is also loaded into the t-Data warehouse.

Warehouse

Customer Data Warehouse

OpenJaw t-Data Warehouse integrates all of the customer and transactional data by transforming it to align with OpenJaw’s enterprise data model. This model is fully compliant with GDPR and IATA’s Airline Information Data Model (AIDM) and New Distribution Capability (NDC). Data from the warehouse can be accessed programmatic via OpenJaw’s REST API.

Visualise

Customer Data Visualisation

OpenJaw t-Data Visualise enables data access for business users.

This data is accessible through a rich set of interactive dashboards and visualisations.

This accessibility enables users to quickly navigate and understand the complex analytical data generated by t-Data.

Predict

Machine Learning for Travel Retailing

OpenJaw t-Data Predict provides the predictive Machine Learning insights that power your customer centric retailing strategies.

OpenJaw has developed proprietary machine learning algorithms optimised for travel.

Our algorithms encompass t-Data Life Score, t-Data Propensity, and t-Data Clustering.

Identity Resolution

Informing Better Travel Retailing

OpenJaw’s Identity Resolution algorithm creates a Single Customer View spanning multiple customer data sources.

Identity Resolution is implemented as part of t-Data Acquire and leverages the power of cryptography, probabilistic record linkage and graph theory to deliver identity match rates up to 80% higher than traditional ‘exact matching’ methods.

Data Science

Life Scores, Clustering and Propensity

OpenJaw’s Life Score algorithm estimates the monetary value of a customer by predicting their spend.

OpenJaw’s Clustering algorithm segments customers into clusters, based on recency, frequency, as well as spend.

OpenJaw’s Propensity algorithm predicts the products or categories of product that customers are most likely to purchase next.

Core Capabilities

OpenJaw t-Data is the only customer data platform built from the ground up for travel

Integrate, resolve unify all your customer, behavioural & transactional data from all sources, such as an airline PSS, website, CRM, social platforms or loyalty system.


Create a single-customer-view even with disparate set of data sources


Resolve the identities of your customers across any number of sources, even with incomplete data


Ingest all customer data in its native format from every source – online, offline, historical , streaming and social into a common schema


Integrate all transactional, contextual, and behavioural customer data to form a single customer view


API-first enabled architecture enables you to integrate insights into your retailing ecosystem with ease

OpenJaw t-Data drives incredible customer insights with Machine Learning

Proprietary algorithms create predictive models that can segment customers, estimate their propensity to purchase specific products, and measure their lifetime value.


Use advanced analytics and visual tools to have total 360 customer view


Predict the propensity customers have to purchase specific travel products with t-Data Propensity


Predict the lifetime value of every customer with t-Data Life Score


Cluster customers into recency, frequency, monetary (RFM) segments with t-Data Clustering


Predict, automate, and deliver the ideal next best action for every customer

OpenJaw t-Data can transform your revenues

 

All customer insights, user-interfaces and use cases are created and measured by KPI’s specific to travel – accelerating your path to ROI.


Deliver personalised offers and experiences to reduce look to book ratios


Increase conversion rates through more effective cross-sell and up-sell to increase revenue per trip


Personalised, customer-centric retailing enables higher repurchase rates as customers return for more positive, personalised experiences


Increase loyalty and satisfaction with personalised retailing, when executed with care and precision has been proven many times to increase the loyalty and satisfaction levels of customers


Dramatically improve the productivity of your teams by giving them the tools they need for every campaign

Customers using our technology

How to use Big Data and a Customer Data Platform for airline growth.

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