Everything we get asked in evaluations, demos, and procurement reviews - in one place
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General
The basics, clearly defined
What BI Portals and Analytics Hubs are - and how to tell them apart
It is a single interface that centralizes access to analytics across multiple systems. It simplifies how users find, access, and use data without switching between tools. It removes the need to remember where reports live or how to navigate different platforms. Instead, analytics are organized in a way that reflects how the business operates - not how systems are structured
A well-designed portal does more than aggregate links. It organizes, filters, and presents analytics so users can quickly find what they need and understand how to use it
Organizations implement BI Portals to reduce the friction between users and analytics. Without one, users often search across multiple tools, rely on bookmarks or shared links, and recreate reports they cannot find. A BI Portal provides a consistent entry point where analytics are easier to discover, access, and reuse
The primary benefit is not access - it is reducing the time and effort required to get to usable information
The most important: unified access across every connected tool (users don't need to know where content lives), semantic search by intent rather than file path, native security inheritance (row-level permissions respected automatically), content governance (certified vs. exploratory, with deprecation workflows), and usage analytics (what's being opened, what's ignored, what can be retired)
The features that separate a good portal from a great one are SSO across all connected tools, consistent branding, multi-vendor support without allegiance to any single BI vendor, and the ability to surface AI-generated outputs alongside traditional reports in the same front door
A Unified Analytics Hub indexes every analytical asset across your environment - reports, dashboards, metrics, documents, AI outputs - in a single searchable, governed layer. Unlike a BI tool that creates content or a data catalog that inventories raw data, an analytics hub organizes and governs the finished intelligence that analysts and business users already produce
"Unified" is the key word: one catalog, one set of governance rules, one search experience - regardless of how many BI tools, teams, or platforms sit behind it
A data catalog (Alation, Collibra, Atlan) manages raw data assets - tables, columns, lineage, pipelines. An analytics hub manages finished analytical assets - the reports, dashboards, and metrics built on top of that data. Both deal with metadata; they operate at different layers of the stack
Most organizations need both: the data catalog answers "where did this number come from?" and the analytics hub answers "which report do I open to see that number, and should I trust it?" Digital Hive is an analytics hub - we don't compete with, and often complement, data catalog vendors already in your environment
Product
What Digital Hive is - and isn't
The category, the boundaries, and how it relates to the BI tools you already own
No. Reports stay in the platform they were built in. Power BI reports stay in Power BI. Tableau dashboards stay in Tableau. Digital Hive references them in a single catalog and surfaces them through a unified Analytics Hub - but ownership, edit access, and security never leave the source tool
In fact, the opposite: by making content findable and certified, Digital Hive increases the ROI of every BI tool you already own Customers consistently report a 25–40% lift in active users on existing platforms within the first six months - the licenses you've already paid for, getting used by the people who needed them all along
The end-user front door. A branded portal where business users search, browse, and open the analytics they need - without knowing which BI tool the content lives in. Single sign-on across every connected tool, certified content surfaced first
Reports and dashboards from any connected BI tool. Metrics and KPI definitions from your semantic layers or metric stores. PDFs, briefing documents, and slide decks from SharePoint, Google Drive, Confluence, or Notion. AI-generated analyses and insights from M365 Copilot or your own LLM agents. Everything in the catalog is searchable, certifiable, and openable from the same front door - regardless of where it was created or stored
Editing happens in the native tool, with the native permissions and authoring experience. Digital Hive launches the right tool into the right artifact in a click. The catalog itself is read-only by design - no shadow versions, no drift
Start with what we don't do - that's where most of the daylight is:
We don't connect to your data No JDBC, no warehouse credentials, no query layer. We index metadata about the reports and dashboards that already exist
We don't add processes No new modeling layer, no semantic remapping, no rebuilds. The reports you have today still work tomorrow - Digital Hive just makes them findable
We don't touch your security Native auth passthrough means whatever permissions exist in the source tool (RLS, OLS, workspace access) are respected automatically. We never escalate, mirror, or override
Beyond that, three things matter in this category and we're built around all three: independence (no allegiance to any BI vendor, ever), experience (the Analytics Hub is a first-class branded portal, not a configuration screen), and depth in messy environments (multi-vendor, mid-migration, post-M&A, multi-tenant, sovereign)
Happy to walk you through a side-by-side against whoever else you're evaluating. Send us the shortlist and we'll prep a comparison against your actual must-haves - not ours
Yes - semantic search and a Q&A assistant grounded in your indexed catalog metadata only. We deliberately don't train on your content, and the assistant never executes queries against source data
Implementation
Where it runs, how fast it goes live
Cloud, on-prem, hybrid, and what implementation actually looks like
Digital Hive stores metadata only - titles, owners, descriptions, last-modified, usage. Actual report content stays in its source tool. The metadata index lives in your tenant (SaaS) or your VPC (self-hosted), never co-mingled with other customers
Yes - three options. Cloud (SaaS) is the default. Customer-managed runs in your AWS, Azure, or GCP account. On-prem is supported via container images for regulated and air-gapped environments. All three are feature-equivalent
Yes. EU, UK, US, Canada, and Australia tenants are available. For data sovereignty mandates (EU-AI Act, FedRAMP-aligned, APRA CPS 234), the customer-managed deployment keeps the index entirely within your boundary
The catalog stays live and searchable. Users can find content, see metadata, request access - they just can't open the report until the source tool returns. Source-tool outages don't propagate to the Hub
Security & compliance
What the security team will ask first
Auth, audit, data residency, and the certifications that matter for enterprise procurement
Digital Hive's governance layer lets administrators certify, deprecate, classify, and retire analytics content without moving or rebuilding it. Certified content surfaces first in every search result. Deprecated artifacts remain findable but are flagged. Ownership, access requests, and change history are tracked in the audit log
For regulated environments, certification workflows can require dual approval before content is promoted - keeping your compliance team in the chain without creating a new system of record
We inherit it. When a user opens a report from the Hub, the source tool authenticates them with their identity and applies whatever RLS, OLS, or workspace permission already exists. Digital Hive never bypasses native permissions - and the catalog itself only shows artifacts a user has been granted access to
SOC 2 Type II, ISO 27001, GDPR, HIPAA-ready. Full controls documentation, penetration test summaries, and continuous monitoring evidence are in the Trust Center (NDA required)
SAML 2.0 and OIDC out of the box. Tested with Azure AD / Entra, Okta, Ping, OneLogin, and Google Workspace. SCIM provisioning is supported on the Enterprise tier
No. Customer metadata is never used to train shared or third-party models. Inference for semantic search and Q&A runs against your tenant only, with retention policies under your control
Every catalog event: who searched what, who opened which report, who certified or retired which artifact. Audit logs are exportable to SIEM (Splunk, Datadog, Elastic) via webhook or scheduled export
Power BI, Tableau, Qlik (Sense + View), Cognos (every version since 10), Looker, Spotfire, Domo, MicroStrategy, Pyramid, SAP BO, Excel, and SharePoint. Plus a generic webhook connector for in-house tools
Yes - both directions. Surface AI-generated analyses from M365 Copilot or your own LLM agents in the same catalog. And expose your indexed catalog metadata to those agents as a grounded source via our MCP-compatible endpoint
Connectors for SharePoint, Google Drive, Confluence, and Notion bring analytical documents into the same catalog. Useful when the actual decision artifact is a PDF briefing - not a dashboard
For listed connectors with active enterprise customers - already built. For new platforms with a public API - typically <4 weeks for a production-grade connector. Tell us what you need.
Pricing & licensing
How procurement should think about it
Tiers, scaling factors, and what's included at each level
Digital Hive is priced on a per-user, per-month basis, billed annually. Every user gets the same access - there are no tiered user types or restricted seats. Connectors are not charged separately; connect as many tools as you need. If you're deploying Digital Hive externally for your own clients, we also offer a multi-tenant option built for that. See the pricing page for ranges
No. Index unlimited content. We don't punish you for cleaning up your sprawl - that's the point
Yes - we offer a special 3-month Proof of Value package at a reduced rate so you can validate the platform against real workloads before committing to an annual term. Success criteria are defined together upfront. No PO required to start
Support & onboarding
What happens after you sign
Implementation, ongoing support, and how we measure success
A dedicated solutions engineer for the first 90 days. Connector setup, SSO wiring, Hub branding, and a structured rollout plan including end-user training assets. You won't be alone in a support portal
Standard (12×5, 4-hour critical SLA) and Premium (24×7, 1-hour critical SLA with a named CSM). Both include free upgrades for the life of the contract
Continuous on SaaS; quarterly stable releases for customer-managed deployments. Roadmap reviews twice a year with named-account customers