Case Studies

CHALLENGES

Finding a SaaS solution that can consolidate data from many different sources while offering secure and customizable options that ensure the protection of student data.

SOLUTION

Using Xplenty's data processing platform and multiple integrations to seamlessly pull and centralize all of GoGuardian’s most important business data.

RESULTS

GoGuardian can amalgamate all of its business data, allowing the company to make smarter business decisions.

CHALLENGES

Maintaining a flexible data structure that can be changed often and painlessly

SOLUTION

Xplenty’s flexible data migration tool saves Work4 time and money by delivering error-free data without using development resources.

RESULTS

Work4 saves valuable time and money by using Xplenty, allowing the company to focus on product development

Statiq

CHALLENGES

Statiq needed to find a cost-effective ETL tool that is both easy to set up and scaled to meet Statiq's needs

SOLUTION

By implementing Xplenty's ETL service, Statiq was able to process data quickly and frequently, providing clients with the freshest data continuously.

RESULTS

Automating the ETL process greatly reduced the time investment needed and eliminated human errors, making data more reliable.

MyJobMatcher

CHALLENGES

Moving huge amounts of data, 100-200 million records per day, quickly and with little resources.

SOLUTION

By implementing Xplenty’s ETL tool, the team was able to easily build data pipelines using minimal team resources.

RESULTS

Because data processing has been simplified, MyJobMatcher can analyze data frequently to make near-real-time decisions.

WalkMe

CHALLENGES

WalkMe needs to run queries on-demand and aggregate massive amounts of data on a daily basis

SOLUTION

Implementing Xplenty's data integration platform to aggregate data and send it to WalkMe's database

RESULTS

Eliminated lagging query performance issues and provided real-time data analytics

Medialets

CHALLENGES

Moving data from Amazon Redshift to and from different databases and, from multiple data structures and data centers

SOLUTION

By using Xplenty's ETL cloud service, Medialets was able to seamlessly move and transform data from one set to another

RESULTS

Xplenty enabled Medialets to quickly and easily move data across multiple data centers on the cloud

CHALLENGES

Cost effective big data processing and preparation without the need for knowledge of Hadoop

SOLUTION

To process and prepare data for analytics by implementing Xplenty's data integration platform which eliminates the need to install software or code

RESULTS

Data processing became accessible and manageable for all relevant employees, without the need to learn specialty skills

Fiverr

CHALLENGES

Fiverr needed a scalable data environment which would allow BI to be independent from IT and R&D

SOLUTION

Xplenty's data integration service allowed BI analysts to run complex analytical tasks within a few clicks

RESULTS

Xplenty's cloud architecture made it very simple to implement data integration for BI needs

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