Analytic Governance with Self-Service

Balance Governance and Self-Service Analytics

The biggest challenge in enterprise analytics today centers on scaling an analytics platform that allows individuals to fully access data and drive analytic decisions while still maintaining the control and security of data, reporting, and business logic.

The chasm between “self-service” for individuals and data “governance” for the central IT organization best explains the core differences in analytic solutions today in the market: newer tools focus on the individual—creating "data silos”; older platforms focus on IT—facilitating the "information dictatorship”.

Click to watch a short demo of Self-Service Analytics with Governance in Pyramid

Pyramid’s Analytic OS is the first enterprise grade analytics platform to deliver both and solve the problem. Built from the ground up to give users an intuitive analytics toolset while still giving organizations the mechanics to manage the data centrally, Pyramid facilitates governed analytics with complete self-service.


Meeting the analytic needs of the enterprise

Without enumerating every last feature,
a governed analytic solution with self-service needs to nail these core elements in a single application.

How does your current solution stack up?

end users

End Users

One application with multiple modules:

  • Data Prep & Modeling
  • Discovery & Visualizations
  • Formulations & Business Logic
  • Dashboarding & Publishing
  • Infographics & Illustrations
  • R & Python machine learning

Intuitive Tools. Quick to learn.

BI Managment


One application, central source of everything:

  • Role Based Security with Multi-tenancy
  • Deep Content Management
  • Sharable Content & Logic
  • Centralized Data Access
  • Governance Tools
  • Admin APIs and Extensibility

Total governance. Little overhead.



Governed Data Discovery

Gartner describes Governed Data Discovery as the delivery of end-user driven, data discovery and analytics that is centrally managed and “governed”. Although these objectives appear diametrically opposite (yin vs. yang), Gartner believes
there is a necessity for both.

Pyramid does too.

Silo Sickness


Consider the impact of having hundreds or thousands of individuals all running their own BI toolset locally on their desktop—creating silos of implementations. Yes, they have the freedom to discover information; but without some semblance of control, management, and uniformity you end up with ‘data anarchy’—which becomes exponentially worse when the number of users increases.

Many tools today facilitate the ‘silo’ effect—especially those centered around desktop applications.

Ending the silo epidemic


Pyramid eliminates the silos because the solution is server-based, so all elements remain centralized on a single platform. At the same time, users can be given incredible freedom to build and mold data, reports, dashboards, and publications; from simple analytics to advanced machine learning. Client tools remain intuitive, fast, and accessible.

Data Dictators


Historically enterprise analytics was centered around IT, representing a bottleneck and bureaucracy at times. Organizations want to escape the clutches of the ‘information dictatorship’, where end users are starved for data, analytics, and information by centralized control, constricted development in the hands of technicians, and data driven decisions by committee only.

Most mega-vendor solutions facilitate the ‘dictatorship’ model centered around IT with few or no end-user tools.

Ending information dictatorships


Being centralized, management can still control, manage, and monitor their analytics solution with Pyramid. In fact, they can easily deliver the positive aspects of centrality like collaboration, share-ability, and scalability. While administrative functions remain powerful, comprehensive, and extensible.


Scaling Enterprise Analytics

A key externality and benefit to a governed analytics solution is scale.

Most people are surprised to learn that scalable technology is necessary but not sufficient for delivering a scalable analytics solution in the enterprise. In fact, the single biggest issue relates to a multi-user, multi-faceted scalable “workflow”:

How do you coordinate the activities of hundreds of users on the same platform, all sharing data and business logic while still being able to drive individual data-driven tasks and processes?

In addition to its multi-tier, scale up and out design, Pyramid’s Analytics OS is architected for analytic governance with self-service, delivering a highly scalable workflow; with customers deploying Pyramid to thousands of users in the same instance.

Scalable Server Architecture

News and resources

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