Salesforce harnesses the power of APIs to take connected experiences to the next level
Company Size
1,000+
Region
- America
Country
- United States
Product
- Salesforce CRM
- MuleSoft's Anypoint Platform
- New Hire Wizard
- Workday
- Salesforce Marketing Cloud
Tech Stack
- APIs
- Heroku DataHub
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Employee Satisfaction
- Productivity Improvements
Technology Category
- Application Infrastructure & Middleware - API Integration & Management
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries
- Software
Applicable Functions
- Human Resources
- Sales & Marketing
Use Cases
- Asset Lifecycle Management
- Chatbots
- Computer Vision
Services
- Software Design & Engineering Services
- System Integration
About The Customer
Salesforce is a global leader in Customer Relationship Management (CRM), providing cloud-based software solutions to businesses for managing their sales, service, marketing, and more. The company has become one of the fastest-growing enterprise companies in the world, having acquired over 70 companies, including Demandware and Tableau. In 2017, Salesforce acquired MuleSoft, a platform for building application networks that connect enterprise apps, data, and devices, across any cloud and on-premises. Salesforce has a vast customer base of 150,000 customers and employs 49,000 people. The company is known for its rapid growth and the vast amount of data it handles due to its numerous systems.
The Challenge
Salesforce, a global leader in CRM, has grown rapidly over the years, acquiring over 70 companies. This growth has resulted in thousands of systems and massive amounts of data. The company had leveraged MuleSoft's Anypoint Platform well before acquiring the company. After the acquisition, Salesforce initiated an effort to adopt API-led connectivity to better integrate systems and data, aiming to provide connected experiences to their 150,000 customers and 49,000 employees. The company wanted to move away from point-to-point connectivity to unlock and integrate critical data across the enterprise, create a single view of their employees, automate manual HR processes, and integrate Salesforce customer accounts with the accounts of acquired companies to build a 360-degree customer view for sales teams.
The Solution
Salesforce adopted an API-led integration approach to deliver on its objectives. The company used APIs built on Anypoint Platform to unlock data and build the New Hire Wizard, a desktop and mobile app that automates onboarding and workplace provisioning by combining data from the Salesforce Platform, Salesforce Marketing Cloud, Workday, Serraview, and over 40 human resource management systems. To better integrate data from acquired companies, Salesforce built processes to map Salesforce and acquired company customer accounts by aggregating data in a Heroku DataHub. With accounts mapped one-to-one, Salesforce was able to streamline a number of sales processes. The company also built an eight-member Center for Enablement (C4E) to lead the transition to API-led integration and move away from point-to-point connectivity.
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
Factor-y S.r.l. – Establishes a cost-effective, security-rich development environment with SoftLayer technology
Factor-y S.r.l., a web portal developer, was faced with the challenge of migrating its development infrastructure to a reliable cloud services provider with highly responsive technical support. The company needed a solution that would not only provide a secure and reliable environment but also support its expansion by providing resources to create and deliver innovative offerings.
Case Study
Darwin Ecosystem: Accelerating discovery and insight through cutting-edge big data and cognitive technologies
Darwin Ecosystem was founded with a unique vision of harnessing chaos theory mathematics to uncover previously hidden connections in unstructured data. The company’s algorithms can look at all the data generated by any source (such as news, RSS feeds and Twitter), and analyze how a specific set of concepts within that data are evolving over time. This is particularly valuable in situations such as business and competitive intelligence, social research, brand monitoring, legal discovery, risk mitigation and even law enforcement. A common problem in these areas is that a regular web search will only turn up the all-time most popular answers to a given question – but what the expert researcher is actually interested in is the moment-tomoment evolution of the data available on that topic. Darwin’s algorithm is computationally intensive, and the sources of data it correlates can be vast. To bring its benefits to a larger commercial audience, Darwin needed to find a way to make it scale.
Case Study
Zend accelerates, simplifies PHP development
Zend Technologies, a major contributor to the PHP open source community, needed to keep pace with emerging trends such as mobility, agile development, application lifecycle management and continuous delivery. The company needed to provide the right tools to the worldwide community of PHP developers. The challenge was to support enterprise-class capabilities from end to end, including mobile, compliance and security. The pace of business required developers to show results fast across a variety of devices without compromising quality or security.
Case Study
Delivering modern data protection with cloud scale backup from Cobalt Iron and IBM
Organizations are struggling to modernize their legacy data protection environments in the face of growing demands around new infrastructure, new applications, and budget consolidation. Virtualization and modern application development processes have significantly outgrown legacy backup architectures. In response, infrastructure teams have created multiple backup solution types to handle the varying SLAs (performance, scale, cost) required by their business sponsors. However, the sheer number and variety of solutions in this uncontrolled expansion creates huge amounts of work, threatening to overwhelm the IT team in many organizations. Today, developers may add new applications and virtual server instances by the hundreds per day without accounting for the restrictions of the existing backup infrastructure. They leverage the cloud for immediate compute and storage resources, yet rarely communicate succinctly with corporate IT to ensure that the appropriate data protection services are in place.
Case Study
Achieving near limitless scalability and flexibility with data in the cloud
Web-based publishing platform SpaceCraft found that as its client base grew, it was spending an increasing amount of time managing its databases, distracting its focus from product innovation. As its user base rapidly expanded, data volumes at SpaceCraft began to rise dramatically. Along with their main focus on maintaining and further developing a great platform for web publishing, the SpaceCraft team had the added pressure of managing the increasing quantities of data while ensuring ongoing high performance for clients.
Case Study
nViso SA – Delivers emotion recognition solutions worldwide with a scalable SoftLayer hosting solution
nViso SA, a company that provides emotion recognition solutions, was in need of a high-performance cloud hosting infrastructure. The company wanted to extend its services to a global customer base. The challenge was to find a solution that could handle the demands of their growing customer base and the need for high performance and reliability.
