Customer Company Size
Mid-size Company
Region
- America
Country
- United States
Product
- SnapLogic
- Snaps
Tech Stack
- iPaaS
- Cloud-based Applications
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Platform as a Service (PaaS) - Connectivity Platforms
- Application Infrastructure & Middleware - API Integration & Management
Applicable Industries
- Software
Applicable Functions
- Business Operation
- Sales & Marketing
Services
- System Integration
- Software Design & Engineering Services
About The Customer
Box is an enterprise cloud company that was launched in 2005 from a dorm room. It has grown to serve more than 41 million users and 59,000 businesses worldwide, all of whom trust Box to manage their content in the cloud. Headquartered in Redwood City, CA, Box operates in the cloud storage industry and employs approximately 1,400 people. The company generates an annual revenue of $303 million. Box's platform offers tremendous efficiencies for its users, but internally, the company faced challenges in efficiently integrating its many cloud-based applications to make informed business decisions across departments. Box's vast array of business applications required integration to support sales, marketing, consulting, financials, and people functions, each serving a distinct purpose. The company sought a solution that would reduce manual processes and support the fluid flow of data across its disparate cloud-based and on-premises applications.
The Challenge
Box faced significant challenges in integrating its numerous cloud-based applications, such as Salesforce, Zuora, NetSuite, and Tableau, to make informed business decisions across departments. The company relied on multiple applications covering sales, marketing, consulting, financials, and people, each serving a distinct purpose. Users had to manually upload and download data from one application to another, which consumed substantial time and effort, diverting focus from high-value pursuits. The goal was to find a platform that reduced manual processes and supported the fluid flow of data across the company's disparate cloud-based and on-premises applications into a data lake. The platform also needed to be user-friendly and provide data aggregation, warehousing, and analytics capabilities. In 2014, Box subscribed to a platform provider that appeared to fulfill the company's needs but ultimately failed its high expectations due to the high skill sets required to use it. The search for an iPaaS continued, with a focus on agility and efficiency in developing integrations.
The Solution
Box implemented SnapLogic, an iPaaS vendor that offered a fully unified platform for application and data integration at much faster speeds and greater efficiency. SnapLogic's platform allowed users to choose from over 450 pre-packaged connectors, called Snaps, to link different cloud-based and on-premises applications, building data flows between these silos. Both structured and unstructured data could be aggregated and analyzed to inform business decisions. SnapLogic provided the self-service integration functionality that Box sought, allowing users to rapidly extract useful information from the data lake without programming. This significantly reduced the time required to push large volumes of data to external endpoints. Since implementing SnapLogic in mid-2015, Box has not needed to build any interfaces internally, as the tools provided by SnapLogic handle the integration needs. The platform has enabled Box to scale to enormous data volumes, analyzing more than 100 million records in a recent integration. The enhanced ability to quickly analyze and make sense of data has allowed Box to rapidly pivot operations and seize opportunities across various business aspects.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Infosys achieves a 5–7 percent effort reduction across projects
Infosys, a global leader in consulting, technology, and outsourcing solutions, was facing significant challenges in application development and maintenance due to its distributed teams, changing business priorities and the need to stay in alignment with customer needs. The company used a mix of open source, home-grown and third-party applications to support application development projects. However, challenges resulting from distributed teams using manual processes increased as the company grew. It became more and more important for Infosys to execute its projects efficiently, so they could improve quality, reduce defects and minimize delays.
Case Study
Arctic Wolf Envelops Teamworks with 24x7 Cybersecurity Protection and Comprehensive Visibility
Teamworks, a leading athlete engagement platform, faced rising cyberthreats and needed enhanced visibility into its network, servers, and laptops. With software developers connecting from all over the world, the company sought to improve its security posture and position itself for future growth. The company had a secure platform but recognized the need for a more proactive solution to identify gaps within its technology infrastructure. Data exfiltration and malicious access were top concerns, prompting the need for a comprehensive security upgrade.
Case Study
Sawback IT and Datto Save Client From a Costly Mistake
Ballistic Echo, a software development house, faced a critical challenge when human error led to the deletion of thousands of lines of unique code. This incident occurred before the code was pushed to source control, resulting in significant loss of time, revenue, and work. The previous file-level backup solution they used was slow and inefficient, making it nearly impossible to manually recreate the lost work. The need for a more reliable and efficient business continuity solution became evident to avoid such disasters in the future.
Case Study
Opal Helps Customers Shine Thanks to Datto
SP Flooring & Design Center faced a ransomware attack that encrypted and locked their files. The attack was initiated through a compromised service account set up by an outside vendor. The ransomware infection was isolated quickly, but there was a concern about the extent of the data at risk. The company had backups in place but was unsure of how much information was compromised. The situation required immediate action to prevent further damage and restore the affected data.
Case Study
Zapier Aggregates Multiple Analytics in a Single Dashboard with the New Relic Platform
Zapier, a company that enables non-technical users to push data between hundreds of web applications, was facing a challenge in automating and provisioning servers for optimal performance. The company's environment consisted of 50 Linux servers on the Amazon Elastic Compute Cloud (EC2), a Django application split across several servers, and a backend consisting of a dynamic number of celery task workers fed by messages published to a RabbitMQ cluster. They also maintained a number of internal web services on nginx in front of Gunicorn and Node.js processes. Redis handled simple key and value stores, with logging handled by Graylog2 and ElasticSearch. However, they realized that no level of automation would be sufficient without an effective monitoring solution in place. They needed a tool that could provide immediate alerts when something was breaking and could be easily implemented into their environment.
Case Study
Pipeline Insight Case Study: YARCDATA
YarcData faced challenges in determining the conversion rates of prospects into customers through various marketing efforts and identifying the source of its leads. They wanted to know the percentage of opportunities in the sales pipeline that came from different marketing events, web downloads, or self-sourced sales opportunities. Additionally, they needed the ability to drill down into the data to guide where to allocate more marketing dollars based on the success of previous efforts. Previously, YarcData relied heavily on spreadsheets and Salesforce.com reports, which made it difficult to extract the exact information they needed. This reliance on spreadsheets represented about 70% of their data presentation.