Trends _ Insights

How Seismic's Interconnected Sales Enablement Platform Fosters Enterprise Success

By — On 10 грудня 2024 р.

The size of the sales enablement platform market is projected to be $3.6 billion by 2028, growing at a rate of 22% year over year.* That means many companies will look to invest in ecosystems that will increase their efficiency and productivity.

Historically, enablement technology was siloed and restricted to specific uses cases like content storage, learning, and analytics. In 2010, Seismic connected these various use cases. With Seismic, you could house marketing-approved content, teach sellers how to leverage that content, and analyze data about that content all in one centralized and intuitive environment.

Ever since, we’ve been shaping and defining the meaning of enablement. Now, with more than 2,200 customers, 4 million users, and 1,500 employees, we are the world leader in enablement technology — and we’re just getting started.

Our evolution is driven by:

  • Investment
    In addition to attracting the right people, launching the right products, and adopting the right processes, we’re committed to building the right architecture that anticipates and adapts to modern innovations, such as artificial intelligence (AI). This is evident in our development of Seismic Aura and Aura Copilot as well as our connectivity to Microsoft Copilot, IBM’s WatsonX, and Salesforce Agentforce.
  • Scale
    We’ve been adopting a more API-first mindset, ensuring you can plug the Seismic platform into whichever tools you like so it works best for your specific use cases and workflows.

  • Extensibility
    We now have more than 400 APIs, 40 web hooks, 100 apps, and 150 integrations all based on our customers’ needs. You can even make your own app — and our customers have already created approximately 5,000 of those, which they use daily.
     

    Let’s zoom in and look at how we’re working to keep Seismic at the forefront of enablement’s evolution.

Core areas of modernization

Currently, we’re focusing on the following six pillars to keep Seismic ahead of the curve:

  1. Cloud nativity  
    Seismic was built in the cloud and for the cloud, so we continue to leverage the agility and flexibility that the cloud natively offers. We’re also cloud agnostic, so you can benefit from our platform regardless of who your cloud provider is. Want to switch providers? You can still use Seismic.
  2. Separation of compute and storage
    By keeping the storage of data separate from computing processes, you can add more power for processing or more space for data without wasting resources. This setup is more cost-efficient, reliable, and flexible, ensuring your data is safe and your system runs smoothly even under shifting demands.
  3. Integrations and partnerships
    We have more than 150 integrations with key technology and strategic partners. These relationships help us build upon use cases and produce new, more innovative products for our customers.
  4. Ingestion of modern data sources
    No matter where your data is kept, the Seismic platform can ingest it, creating unity across your tech stack. This capability ensures you can harness real-time, high-volume, and varied data to drive insights and actions.
  5. Integrated data management and scalable analytics
    Seismic centralizes the data from several use cases and databases. Everything from content to learning to meeting data can be analyzed and reported on using out-of-the box, customizable dashboards. Combining data from various sources into a unified system for seamless access and management enables our customers to maintain data consistency and extract insights at any scale, supporting informed decision-making.
  6. Data privacy and security management
    Security, data privacy, and regulatory compliance are all integral aspects of our platform. As threats evolve, so do our security initiatives. This is especially true regarding AI. We comply with GDPR and various localization requirements, encrypt data at rest and in transit, and adhere to leading standards like SOC 2. These measures build trust and ensure data integrity while supporting AI initiatives​​​.