When COVID hit, multinationals went into a tailspin, scrambling for solutions to pandemic-related problems like suspended flights, social distancing, and stay-at-home orders. How could global brands function when operations are so interconnected? One global sales and marketing brand stayed calm in the crisis, innovating localized strategies that strengthened remote regional teams. 

The Problem: The company’s team in Sydney, Australia, relied on its U.S. team to build powerful big data pipelines to extract, process, and analyze business-critical data at scale. But the pandemic made this process challenging, with many employees working from home. Circumstances in the U.S. had affected productivity on the other side of the world, causing unnecessary delays for the Sydney team.

The Solution: The company turned to Xplenty, who presented the Sydney team with a cloud-based, no-code, point-and-click ETL solution for automating data pipelines for local file formats. No complex code, and no more waiting for the U.S. team. 

This case study proves the power of localized technologies for teams during the pandemic and beyond. By automating complicated processes like data pipelines, local teams in interconnected global business environments can continue to thrive.  

Table of Contents

  1. A Customized Localized Solution for a Global Brand
  2. Why a Global Sales Brand Needed to Automate Data Pipelines
  3. The Importance of Localized Technology Solutions
  4. How Does Xplenty Help Global Brands With Local Teams?
  5. The Benefits of Low Code for Remote Teams
  6. Using Xplenty to Power Your Global Team

A Customized Localized Solution for a Global Brand

Born and bred in the USA, but with regional headquarters on three continents, a planet-spanning sales company provides sales and marketing services on a truly global scale. 

The firm, which employs thousands of people, could have chosen a one-size-fits-all path to post-pandemic operations like other multinationals. But the 100+-year-old company adopted an alternative approach: Customize local solutions for local teams. This quick thinking sustained productivity in markets less affected by the pandemic, allowing regional offices to implement unique technologies based on localized requirements.  

Customer Story
Customer Story
Keith connected multiple data sources with Amazon Redshift to transform, organize and analyze their customer data.
MongoDB MongoDB
Amazon Redshift Amazon Redshift
David Schuman
Dave Schuman
CTO and Co-Founder at Raise.me
They really have provided an interface to this world of data transformation that works. It’s intuitive, it’s easy to deal with [...] and when it gets a little too confusing for us, [Xplenty’s customer support team] will work for an entire day sometimes on just trying to help us solve our problem, and they never give up until it’s solved.
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Why a Global Sales Brand Needed to Automate Data Pipelines

The brand’s Sydney team relied on its U.S. IT team to build data pipelines for sales and marketing analytics. These pipelines were complex, pulling and integrating data from data stores, databases, and systems. 

Then the pandemic hit. 

With operations disrupted in the U.S., the Sydney team could no longer benefit from the pipelines they typically relied on for analytics. Still, the team required these analytics to guide their decision-making.

The company contacted Xplenty for an easy-to-use, low-code ETL tool that enabled data migration from anywhere in the world. Instead of waiting for its U.S. team to build data pipelines, the Sydney team could create pipelines of its own in just a few clicks. This technology revolutionized operations, allowing sales and marketing professionals to respond to local file formats.

The Importance of Localized Technology Solutions

Global teams often work in silos, relying on provincial and regional offices to fulfill specific obligations. (Example: A multinational company’s US-based team executes marketing-related tasks while its UK team carries out finance-related tasks.) When one office experiences disruptions, it impact other locations. This effect has ramifications on the entire business. 

Objectives like data migration typically require teams with specialist skills, and these teams often work from one location. (Data engineers, for example, build intricate data pipelines from scratch, using complex code.) When one team experiences disruptions, these delays affect the entire enterprise. The pandemic has exposed this operational problem to many brands. 

One solution to this problem is implementing localized technology strategies, where local teams use specific tools and software depending on their regional requirements at a particular time. Custom local technologies allow regional teams to continue to work when disruptions impact another location, for example. By automating processes like data pipelines, local teams can execute day-to-day tasks when another team is unable to function.

Fifty-nine percent of global organizations say they need to develop a scalable location strategy to support localization objectives. Implementing scalable automation tools like Xplenty helps organizations achieve these objectives.

Customer Story
Customer Story
Keith connected multiple data sources with Amazon Redshift to transform, organize and analyze their customer data.
Amazon Redshift Amazon Redshift
David Schuman
Keith Slater
Senior Developer at Creative Anvil
Before we started with Xplenty, we were trying to move data from many different data sources into Redshift. Xplenty has helped us do that quickly and easily. The best feature of the platform is having the ability to manipulate data as needed without the process being overly complex. Also, the support is great - they’re always responsive and willing to help.
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How Does Xplenty Help Global Brands With Local Teams?

Xplenty is an ETL solution that streamlines data migration for global brands like the one in this case study. This powerful tool uses the Extract, Transform, and Load (ETL) process:

  • Xplenty extracts data from hundreds of data sources, including CRMs, ERPs, SaaS, social media, and more. 
  • It transforms this data into a usable, readable format so it's ready for data analytics. 
  • It loads the data to a final destination for analytics, such as a data warehouse or data lake

However, unlike other ETL tools, Xplenty requires no code. So, instead of building data pipelines from scratch using programming languages such as Java, Python, or C++, companies can enable data migration with just a few clicks.

Xplenty provides brands with access to the analytics they require for day-to-day tasks. Because the platform requires no code, it takes less time to learn and use.

The Benefits of Low Code for Remote Teams

Low-code solutions like Xplenty prove valuable for teams working from home during the pandemic. Often these teams cannot build data pipelines because of technology limitations or a lack of resources. Because Xplenty automates data migration with its no-code solution, remote teams with no coding experience can extract, transform, and load data from home. 

Using Xplenty to Power Your Global Team

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Xplenty helped one global brand boost efficiency and generate data insights for one of its local teams. Now you can do the same with a low-code ETL solution that requires no code. This point-and-click tool comes with more than 200 data integrations, easy workflow creation, free customer support for all users, simplified pricing, and other features. Perfect for global brands with local teams and remote teams, Xplenty is the all-in-one ETL solution for your business needs. Schedule a call with our support team and learn more about our 14-day demo.