3 Aspects of Pyramid Analytics That Make It Different from Other GenBI Platforms

As AI-enhanced business intelligence tech matures, Pyramid’s software approaches natural language prompts a little differently from others in the space

Generative business intelligence, or GenBI, springs from the union of GenAI and business intelligence. It’s a combination that makes each one stronger and more useful for business users, with thought leaders hailing it as delivering on the long-delayed promise of self-service BI (SSBI).

GenBI brings faster, clearer, and more meaningful contextual answers to your data queries, without the need for code expertise or data wrangling skills. This enables truly democratic access to BI insights for all business stakeholders, while saving time and hassle for data science teams. Businesses that use GenBI benefit from better data-based decision-making, improved ability to spot and respond to emerging threats and opportunities, and an increased competitive advantage.

But GenBI is still in its early days. There are challenges that every GenBI solution needs to overcome, including security concerns, interpreting and understanding queries from inexperienced users, and integrating with existing data tech stacks. Each GenBI solution has different features and takes a different approach to resolving those challenges.

Pyramid Analytics rolled out its take on GenBI in February 2024, with the ability to ask questions about data via voice or text, to generate rich and interactive dashboards from scratch based on even vague prompts, and to work with virtually any data source in any language.

With so many emerging GenBI tools and platforms from companies ranging from dedicated GenBI startups to extended offerings from established enterprises, it can be hard to get a clear grasp of their differentiation. We’re here to explain what exactly makes GenBI with Pyramid Analytics different.

A Multi LLM Approach

As large language models (LLMs) become more widespread and sophisticated, we are also seeing increasing differentiation. Generic LLMs are giving way to specialized and verticalized LLMs that are trained on distinct industry terms and metrics. For example, marketing LLMs might be trained on Google Ads data, financial LLMs might be trained on anonymized banking data, and health LLMs could be trained on health insurance data.

These specific LLMs deliver more accurate answers, making it important to choose the right LLM for your data queries. Pyramid Analytics offers a multi-LLM strategy by default, enabling users to connect to the customized or generalized LLM engine that best meets their needs.

As the LLM market matures, more specialized engines will become available. Pyramid provides the flexibility to integrate with many LLMs, now and in the future. Managers can also attach a specific LLM to a specific model, so when users query that dataset, they’ll automatically receive answers from the most appropriate LLM, without any prior knowledge on their part.

Understanding Virtually Every Query

Responding to natural language queries is a basic functionality for every GenBI solution, but most of them only support very specific queries typed into a text box. Pyramid Analytics, however, can also handle spoken voice prompts.

In response, it delivers visualizations that are fully dynamic and manipulatable, so users can zoom in, zoom out, and choose specific subsets of data for further investigation, thereby allowing more flexibility in data exploration.

Pyramid’s natural language engine is also able to understand every query and deliver the most valuable insights, regardless of how vague the wording is or uncertain the user is about the best way to achieve their goals. Every GenBI platform frees users from the need to code a SQL query, but Pyramid also automatically selects the most appropriate visualization, graph, chart, or report format for your query.

Additionally, Pyramid’s tech operates behind the scenes to improve people’s queries for better results. It can guide users to new and more relevant lines of inquiry and optimize queries in ways that improve and speed up performance. Not only does the platform deliver on your query, it sharpens your query to bring the results you were after, not just the ones you asked for.

Protecting Your Data

There are many well-founded fears that GenBI tools could compromise your data security and privacy. Some LLMs store the private data that’s used in prompts and/or which is uploaded and use it to train the LLM for the future. Even with the best security, the more tools that have access to your private, sensitive, and/or proprietary data, the higher the risk that the data will be leaked.

Pyramid resolves this by keeping your data safely locked away from the LLM. Pyramid scans user data in its data source, without requiring you to shift your data to a new repository or upload it to the platform, and then it creates contextual metadata. The platform then shares only this anonymized metadata with the LLM to discover the best way to translate your prompt into a data query and gain the desired results, and then applies the LLM-generated query to your data sources.

In this way, your data is protected from touching the LLM. It’s never cached, imported, or uploaded to any LLM or even to the Pyramid servers. Unlike most SaaS BI platforms, Pyramid is self-hosted, so the platform never caches or imports your data. The Pyramid solution merely connects to and queries your data as a distinct layer.

GenBI Insights for all Business Users

Pyramid Analytics offers a powerful, future-proof, user-friendly GenBI solution that delivers the easy-to-understand answers that business users need, while keeping the barrier for entry low and ensuring that non-data experts can use it without difficulty. With Pyramid’s intuitive interface, high security, and flexible, LLM-agnostic integrations, it’s a versatile GenBI platform that every business user needs.