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www.talend.com ©Talend 2019 · EN
Outra was founded in 2017 by industry leaders frustrated that data was not delivering on its promise to change the customer experience and drive the success of brands.
Outra uses proprietary property data to enhance customer data and as a basis to build predictive models and segmentations. This means all their solutions are non-PII. This data is not subject to regulations because the data is held against an address rather than an individual. Their approach to customer segmentation allows them to create nano-segments through the application of deep learning to gain a deeper level of consumer insight.
Outra is a predictive data science business that helps companies increase the power and precision of data through a modern, science-led approach which delivers actionable insight at speed. With Outra, clients can make smarter, faster decisions, and improve customer experiences.
Building a fast, comprehensive data platform Caroline Worboys, Chief Operating Officer, adds “Many of our clients have either limited or no data science capabilities in house. What we bring to the table is the ability to get to the core of the business challenges and use the most innovative data science solutions to solve them, at speed.”
In existence for less than two years, Outra’s customers include well-known companies in industries such as insurance, utilities, broadband and TV, telecom, energy, retail, restaurants, and more.
Outra was processing roughly 2.5 billion rows of data per month without an ETL tool.
Outra set to work to develop a data platform that enables the company to quickly scale and meet customer data volumes, onboard new data sources quickly, and improve insight delivery time. Outra also wanted a system that could be managed by a small staff.
Why AWS? Outra uses a cloud-first strategy to host its platform Velocita. Outra had previous experience with Amazon Web Services (AWS) and chose the company as its cloud provider. Outra also uses a Snowflake data warehouse hosted on AWS.
“The cloud is a cost-effective way to get things up and running quickly for a startup such as Outra,” says Worboys. “The cloud also provides us with the ability to scale quickly.
With the cloud, Outra can run a reliable and scalable IT operation. Worboys says: “The uptime, availability, and security provided by AWS help us to be very competitive in the marketplace.”
Why Talend? After considering various data integration offerings, Outra chose Talend. The company has been impressed at its capabilities. “Talend provides a lot of power. Not only is it a leading open source product, but it also provides close to 900 connectors out of the box,” Worboys says. “This is important because it enables us to merge the various data sources and then create insights and visualise the client data.”
Outra matches its proprietary data with client’s customer data and any relevant third-party data. Then by applying deep learning they create segmentations to help inform business strategies.
Increasing the value and predictability of big data with science and automation
“Talend enables us to dramatically reduce delivery time of insight to our customers from months to days. This gives Outra a competitive edge.
CA S E S T U DY
INDUSTRY
• Services / Data Science
INFORMATION• HQ: UK
• 11-50 employees
USE CASE• Customer Intelligence
CHALLENGE• Building a fast, comprehensive data platform
TALEND PRODUCTS USED• Talend Cloud Data Quality • Talend Cloud Big Data
PARTNER• Amazon Web Services (AWS) - EC2 - S3
• Snowflake
RESULTS
• Enabled onboarding of new data sources in one to seven days
• Over a billion rows ingested in less than 60 seconds
• Reduced time to deliver insight from months to days
”Caroline Worboys, Chief Operating Officer, Outra.
Talend Cloud Big Data enables data ingestion into Snowflake. Talend Cloud Data Quality matches and cleans data from the various sources.
“With Talend, I can access data in Snowflake in real time without waiting for an update,” Worboys explains. “This capability, as well as the ability to process vast volumes of structured and unstructured data, is a huge benefit to our customers.”
She continues, “We also like the different algorithms Talend provides out of the box. We can tailor the matching keys or algorithms to suit a particular client’s needs. We can either tighten or loosen the tolerances using built-in Talend algorithms. Talend provides a lot of flexibility.”
Staying competitive with fast client delivery times Worboys says: “If a client comes with an urgent request, we always turn it around quickly.” Talend has enabled Outra to reduce delivery times to clients from months to weeks or days. Worboys uses the example of a large casual dining group to illustrate how Outra works.
“The chain provides Outra with its transactional data and customer data, which is matched with Outra’s own proprietary property data and geodemographic segmentations,” she explains.
“Through data science, we can provide analytics on, for example, what age group visits a particular restaurant at a particular time, the customer makeup of a particular store, why customers go to a store, and what variables—such as coupons, promotions, menu variety, children’s menus—drive customers to certain local stores.”
And the same applies for many other industries. In the insurance sector, for example, using Outra’s proprietary property data, such as the number of bedrooms and bathrooms in a house and heating installation and type of materials the house is built on, analytics can better predict risk factors and scores of the members for potential insurance claims.
For its telecommunication or energy customers, Outra can predict when people are going to move to a new house and will need broadband or energy supply, based on the predicted number of people living in the house and their age.
With this success, Outra is suddenly experiencing a big push of new customers due to the way it performs data ingestion with Talend, Snowflake, and AWS.
Worboys concludes. “Talend enables us to meet the different needs of multiple clients. I expect Outra to have a long and productive relationship with Talend.”
“Our customers are impressed by how fast we can process their data. While every customer is different, we can access the data, run analytics, and provide them with insight typically within days. This is a very fast turnaround for the market, especially considering the volumes of data we are processing.”
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