Analytics & business intelligence

Trusted semantics.
Faster decisions.

SAP BusinessObjects BI 2025, SAP Analytics Cloud, SAP Business Data Cloud, Tableau Next, Tableau Semantics, governed metrics, report modernization, performance engineering, and lifecycle support.

Decisions people can trust

Stabilize what works while modernizing what limits insight.

Innovative BI helps organizations improve reliability and user value across established BI platforms while preparing the governed data products, semantic models, AI controls, and architecture required for agent-assisted decision intelligence.

Services span SAP BusinessObjects BI 2025 administration and migration, SAP Analytics Cloud and Business Data Cloud planning, Tableau Server and Cloud, Tableau Next and Tableau Semantics readiness, governed metrics, AI-assisted analysis, report rationalization, performance engineering, security, and production support.

SAP

SAP analytics modernization

  • BusinessObjects BI 2025 platform health, sizing, clustering, upgrades, patching, backup, and recovery
  • Universes and semantic layer, CMS and auditing data, Web Intelligence, publications, scheduling, and bursting
  • SAML, OAuth, trusted authentication, authorization, connection security, and least privilege
  • SAP Analytics Cloud BI, planning, lifecycle management, content promotion, and adoption
  • SAP Business Data Cloud business data fabric, Datasphere, governed data products, business semantics, and SAP Databricks integration planning
  • Report inventory, usage analytics, rationalization, hybrid transition, performance, and L2/L3 support
TBL

Tableau & agentic analytics

  • Tableau Server and Cloud architecture, sites, projects, permissions, identity, extracts, and refresh operations
  • Published and composable data sources, virtual connections, data policies, row-level security, certified content, and governed metrics
  • Tableau Pulse, Tableau Next, Tableau Semantics, Tableau Agent, hosted Tableau MCP, and embedded or headless analytics planning
  • Semantic-model design, conversational analytics, proactive alerts, action-oriented workflows, and human validation
  • Workbook and query performance, capacity, background jobs, subscriptions, and usage telemetry
  • Migration, content validation, release management, trusted self-service, adoption, and lifecycle support

Product editions, licensing, release maturity, regional availability, security scope, and customer-tenancy requirements are validated before platform or migration commitments are made.

Modernization path

Move from report inventory to an analytics operating model.

We reduce risk by sequencing platform health, content value, user needs, data quality, migration, and adoption.

  1. 01
    Assess

    Inventory platforms, reports, users, dependencies, risks, and pain points.

  2. 02
    Rationalize

    Retire duplication and prioritize high-value decision products.

  3. 03
    Modernize

    Improve data foundations, semantic models, dashboards, and delivery.

  4. 04
    Adopt

    Establish governance, training, support, and performance measures.

Start a focused conversation

Improve the reliability and value of your analytics environment.

We will help identify the right role, delivery model, and next step.