Three Pillars of a Data Analytics System

Most organizations today realize they need to become data-driven to remain competitive. In building a data-driven culture, organizations discover the need to let end-users access and use data in smart, efficient ways, while also ensuring governance and control. The key dilemma is balancing data innovation and control.

Legacy solutions often emphasize centralized governance and IT-centric analytics, resulting in environments where end users are blocked from easily accessing data. On the other hand, modern desktop-based visualization tools offer data access with little central oversight, leading to data silos and inconsistent analytics.

Pyramid Analytics aims to balance these extremes, enabling user innovation and collaboration with data while maintaining IT governance to prevent silos and keep data secure.

The platform is built on three foundational pillars:

• ​Democratized analytics
• ​Collective knowledge
• ​Manageability

Focusing on these pillars positions Pyramid Analytics as a leading modern enterprise analytics platform.

Democratizing Analytics

Data is only valuable if it reaches the right people. Not everyone has the skills to use advanced analytics tools, so the best deployments democratize analytics by giving users appropriate access and tailoring functionality to individual needs.

Pyramid provides simple yet sophisticated self-service features and universal client access through a server-based, web-front-end application. This eliminates the need for organization-wide software installs and ensures no data or content resides locally. Centralized data management exposed via a web browser allows the right people to access the right data at the right time.

The main beneficiary is the end-user. Removing barriers to data access and providing tools suited to users' expertise leads to a positive analytics experience. Organizations benefit from the speed, agility, and creativity of desktop tools without the drawbacks of data silos.

Collective Knowledge

Content created by individuals has little value if it can't be shared across the organization. The second pillar, collective knowledge, is about cultivating an environment where individual efforts are stored, shared, and reused, leading to greater efficiency, collaboration, and data accuracy.

As a server-based platform, Pyramid stores all models, data, content, and analysis centrally, allowing them to be curated and shared. This ensures users can trust the origin, validity, and timeliness of data.

Collaborative workflows enable teams to solve data problems together. Shared business logic allows reuse of data formulations and insights, aligning users with organizational goals and deepening understanding. This results in more focused, efficient decision-making.

Manageability

Democratized analytics and collective knowledge require a centrally managed platform. The third pillar, manageability, focuses on enterprise-level security and governance to organize and secure vital data, content, and intellectual property.

While users should have broad access to data and functionality, boundaries are necessary to protect sensitive information. Pyramid incorporates governance at every level, allowing organizations to control data without creating a data dictatorship.

Manageability also includes data infrastructure and deployment flexibility. Organizations can leverage existing data stack investments and choose how and where analytics are applied, without the cost or inefficiency of moving large amounts of data. This accelerates results and leverages previous investments.

Pyramid can be deployed on-premises, in the cloud, or both, according to business needs and data priorities. Flexible, governed, and secure implementations benefit from scalability and reliability, supported by powerful manageability tools.

How They Work Together

Combining these pillars creates a BI solution that goes beyond data visualizations. Democratizing analytics allows users to rapidly access data and generate insights without slow hierarchies. Dispersing insights through collective knowledge systems generates efficiencies and encourages collaboration. All of this is managed on a scalable, reliable, and secure platform.

This approach is why customers choose Pyramid to deliver a data-driven decision-making platform.