Enterprise Business Intelligence & Reporting Services

Business Intelligence & Reporting Services for Trusted Enterprise Reporting

Enterprise leaders cannot make confident decisions from reporting environments they do not trust. When dashboards multiply, metrics conflict, Excel remains the reconciliation layer, and teams debate numbers before they debate action, business intelligence has become a governance and architecture problem.

For Microsoft-centric organizations, BI often spans Power BI, Microsoft Fabric, Azure data services, SQL Server, SharePoint, Excel, Dataverse, Dynamics 365, Teams, and other operational systems. The issue is rarely a lack of reporting tools. The issue is whether data definitions, semantic models, access controls, lineage, and ownership are strong enough to support decisions at scale.

i3Solutions delivers business intelligence and reporting services for enterprises that need governed metrics, reliable dashboards, modern BI architecture, and reporting structures leadership is prepared to defend. Our teams evaluate reporting pain points, data sources, Power BI environments, semantic models, governance gaps, and Microsoft platform readiness before building or modernizing reporting capabilities.

The objective is not to produce more dashboards. The objective is to create a trusted reporting foundation that supports executive visibility, operational performance, audit readiness, process improvement, and future analytics or AI initiatives.

i3Solutions builds executive BI on the Microsoft stack, including Power BI analytics for a U.S. Army intelligence command and BI reporting for a global aerospace manufacturer’s business-development pipeline.

When two dashboards show different numbers for the same metric, the problem is rarely the BI tool. It is governance: overlapping datasets, no certified source of truth, and row-level security applied unevenly.

Business intelligence that executives can rely on rests on a governed Power BI and Fabric architecture, a certified semantic model, and clear ownership, so a number means the same thing in every report. The fix is architecture and governance, not another visualization layer.

Look for a partner who designs the model, enforces security and lineage, and leaves reporting your analysts can extend without breaking trust. i3Solutions builds governed BI and reporting on Power BI and Fabric with senior, U.S.-based engineers, so leadership stops arguing about whose number is right.

Validate Reporting Trust Before BI Expands

Business intelligence loses value when reports, dashboards, and metrics cannot be trusted across teams. i3solutions evaluates reporting structures, Power BI environments, semantic models, data definitions, ownership, and governance controls before BI modernization or expansion moves forward.

Assess BI Reporting Readiness

Where Reporting Trust Breaks Down

Business intelligence initiatives rarely fail from a lack of dashboard tools. They fail when reporting grows without governed definitions, trusted data models, ownership, access control, and alignment to the decisions leaders need to make.

These issues become more serious in Microsoft-centric environments where reporting often depends on Power BI development, Microsoft Fabric, Azure data services, SQL Server, SharePoint, Excel, Dataverse, Dynamics 365, operational systems, and manual reporting processes.

✗ Dashboards Multiply Without Metric Control

Teams create reports to solve immediate visibility problems, but the environment becomes harder to trust when each department defines metrics differently. Without governed KPIs, certified datasets, and semantic consistency, dashboards increase debate instead of clarity.

✗ Excel Remains the Reconciliation Layer

Excel often bridges gaps between systems, reports, and leadership requests. That may work temporarily, but repeated spreadsheet manipulation creates version-control risk, manual effort, and weak traceability.

✗ Power BI Is Deployed Without Governance

Power BI gives teams strong reporting capability, but unmanaged workspaces, unclear dataset ownership, inconsistent publishing standards, and weak lifecycle control create reporting sprawl. Self-service reporting needs guardrails before it becomes another source of conflicting numbers.

✗ Reports Show Activity Instead of Decisions

Many dashboards describe what happened but do not support what leaders need to decide. Effective BI connects metrics to operational questions, executive priorities, exception review, performance management, and action ownership.

✗ Data Lineage Is Unclear

Leadership confidence weakens when no one can explain where a number came from, how it was transformed, which source is authoritative, or who owns the definition. Traceability matters for audit, compliance, executive reporting, and operational trust.

✗ BI Modernization Recreates Legacy Problems

Moving reports into Power BI, Fabric, or Azure does not solve reporting trust by itself. If definitions, ownership, governance, and data quality are not addressed, the organization carries the same reporting problems into a newer platform.

What Enterprise BI Needs Before Dashboards Scale

Enterprise BI is not a visualization layer. It is a governed reporting capability that connects data models, semantic definitions, access controls, reporting design, ownership, and decision workflows. The value comes from making reporting reliable enough for leaders, analysts, operational teams, and auditors to use without constant reconciliation.

BI as a Governance Decision

Trusted reporting requires defined metrics, approved datasets, ownership, certification standards, access rules, and lifecycle control. Without governance, dashboards become another uncontrolled layer of enterprise data movement.

BI as a Microsoft Architecture Decision

Power BI, Microsoft Fabric, Azure data services, SQL Server, Dataverse, SharePoint, Excel, Dynamics 365, and connected systems need a clear architecture. Platform choices need to reflect data sensitivity, reporting scale, performance needs, integration requirements, and long-term support ownership.

BI as Decision-Aligned Reporting

Reports need to support the decisions users actually make. Executive dashboards, operational views, compliance reporting, and frontline metrics require different levels of detail, timing, context, and ownership.

BI as a Foundation for Advanced Analytics

Forecasting, augmented analytics, AI-assisted insight, and automation depend on trusted reporting structures. BI establishes the definitions, lineage, and governance that advanced capabilities need before they influence decisions.

When BI and Reporting Need Enterprise Review

Organizations usually seek BI services when reporting no longer supports confident decisions, executive visibility, audit readiness, or operational control. The need is not another dashboard — the need is a reporting foundation leaders trust.

Leadership Does Not Trust the Numbers

When executives receive different answers to the same question, meetings shift from decision-making to data debate. This usually points to conflicting metric definitions, weak semantic models, unclear data ownership, or inconsistent reporting logic.

Power BI Growth Has Outpaced Governance

Power BI adoption often expands quickly across departments. Without workspace strategy, certified datasets, publishing standards, permissions, and ownership, the environment becomes difficult to govern, secure, and trust.

Board, Regulatory, or Audit Reporting Carries Risk

Reporting that supports leadership, regulators, auditors, or external obligations needs traceability, consistent definitions, controlled access, and clear ownership. Informal reporting structures create avoidable exposure.

Manual Reporting Consumes Analyst Capacity

Analysts lose time to spreadsheet manipulation, one-off reporting requests, manual extracts, and reconciliation work. Reporting becomes a production burden instead of a source of insight.

Legacy Reports Need Modernization

Legacy reports, spreadsheet-based reporting, and outdated dashboard environments often need to be consolidated, retired, redesigned, or migrated into a governed Microsoft BI architecture.

AI or Advanced Analytics Requires a Trusted Foundation

Advanced analytics and AI cannot compensate for unclear reporting definitions or fragmented data ownership. BI review clarifies whether the organization has the governance and reporting foundation needed before more advanced capabilities are introduced.

Stabilize Reporting Before Analytics Expands

Reporting modernization becomes more defensible when leaders understand which metrics are trusted, which reports are redundant, where governance is weak, and where Microsoft BI architecture needs stronger control. i3solutions evaluates the reporting foundation before dashboards, analytics, or AI initiatives expand.

Assess Reporting Foundation Risk

Business Intelligence & Reporting Services We Provide

i3solutions provides business intelligence and reporting services for enterprise environments where reporting trust, Microsoft platform alignment, governance, and decision readiness matter. Each engagement is structured around the reporting decisions, data conditions, and operating constraints that shape the BI environment.

BI Strategy & Readiness Assessment

i3solutions reviews reporting pain points, current dashboards, data sources, Power BI environments, semantic models, ownership, access controls, and governance maturity. The assessment identifies what is trusted, what is redundant, what carries risk, and what needs remediation before BI modernization or expansion.

KPI & Metric Rationalization

Conflicting metrics weaken leadership confidence. i3solutions evaluates KPI definitions, calculation logic, ownership, usage patterns, and reporting dependencies so performance measures are standardized and defensible across teams.

Power BI Governance & Workspace Strategy

Power BI environments require rules for workspaces, datasets, publishing, certification, access, lifecycle management, and self-service reporting. i3solutions defines governance patterns that reduce reporting sprawl while preserving useful business-led analysis.

Data Modeling & Semantic Layer Design

Reliable reporting depends on how data is structured beneath the dashboard. i3solutions designs or improves data models, semantic layers, certified datasets, transformation logic, and performance patterns so users interpret information consistently.

Dashboard & Report Development

i3solutions develops executive, operational, compliance, and departmental reporting aligned to specific decisions. Reports are designed around user roles, decision timing, exception visibility, performance questions, and action ownership rather than visual appeal alone.

BI Modernization & Legacy Report Rationalization

Legacy reporting environments often contain redundant, outdated, or unreliable assets. i3solutions evaluates which reports need to be retired, redesigned, consolidated, migrated, or rebuilt inside a governed Microsoft BI architecture.

Microsoft Fabric & Azure Data Services Alignment

Some reporting environments need stronger data platform architecture before BI scales. i3solutions evaluates how Power BI, Microsoft Fabric, Azure data services, SQL Server, Dataverse, and related systems need to support reporting, governance, and future analytics needs.

BI Governance, Documentation, & Operating Model

Sustainable BI requires ownership after delivery. i3solutions documents metric definitions, lineage, dataset ownership, access rules, publishing standards, lifecycle controls, and support responsibilities so internal teams operate the environment with confidence.

How i3solutions Structures BI and Reporting Work

i3solutions structures BI and reporting engagements around the decisions the organization needs to support. The work begins with current-state reporting evidence, then moves through governance, architecture, design, implementation, and handoff when the foundation is ready.

1. Reporting Current-State Review

The engagement begins by reviewing dashboards, reports, data sources, manual reporting processes, stakeholder concerns, metric conflicts, Power BI workspaces, existing documentation, and known trust issues.

2. Metric, Data, and Ownership Assessment

i3solutions evaluates KPI definitions, data ownership, source-system reliability, calculation logic, transformation steps, permissions, lineage, and reporting dependencies. This clarifies where trust breaks down and what needs control.

3. Microsoft BI Architecture and Governance Path

Findings are evaluated against the Microsoft environment already in place. This may include Power BI, Microsoft Fabric, Azure data services, SQL Server, Dataverse, SharePoint, Excel, Dynamics 365, Teams, and connected operational systems.

4. Report and Semantic Model Design

Reporting structures are designed around role-specific decisions, approved metrics, semantic consistency, access requirements, performance needs, and lifecycle expectations. The design clarifies what needs to be built, modernized, retired, or governed differently.

5. Implementation, Modernization, or Remediation

i3solutions implements or improves BI capabilities based on the agreed path. Work may include dashboard development, model redesign, workspace governance, legacy report migration, data integration, or reporting rationalization.

6. Documentation, Adoption, and Handoff

The engagement produces documentation for metrics, models, lineage, publishing standards, support ownership, governance controls, and reporting use. Internal teams receive the context needed to maintain and improve the BI environment over time.

BI Modernization Without Disrupting Reporting Trust

BI modernization often happens while leaders still depend on existing reports, dashboards, spreadsheets, and recurring reporting cycles. i3solutions structures BI modernization around continuity, governance, and controlled change.

Preserve Critical Reporting During Transition

Executive, operational, regulatory, and financial reports need to remain available while BI modernization work is underway. i3solutions identifies which reporting assets require continuity and which can be corrected, consolidated, or retired without disrupting decision cycles.

Clarify What Remains Authoritative

Users need to know which reports, datasets, and metrics are approved during and after modernization. i3solutions defines authoritative sources, certified datasets, semantic models, and transition rules so teams do not continue relying on outdated or conflicting reports.

Reduce Reporting Sprawl Before Scaling

Modern BI environments become harder to govern when every legacy report is recreated without review. i3solutions rationalizes dashboards, reports, datasets, and recurring reporting requests so modernization reduces complexity instead of moving it into a newer platform.

Keep Business Users Aligned to the Change

BI adoption depends on whether users understand what changed, why it changed, and how the new reporting structure supports their decisions. i3solutions supports the documentation, ownership, and handoff needed to make reporting changes usable after launch.

Build Supportability Into the Reporting Model

Sustainable BI requires ownership after the initial build. i3solutions documents data sources, metric definitions, semantic models, workspace standards, access rules, refresh patterns, and lifecycle expectations so internal teams can operate and improve the reporting environment over time.

 

BI Governance for Microsoft-Centric Environments

Microsoft reporting environments become difficult to control when Power BI, Excel, Fabric, SharePoint, Dataverse, SQL Server, Dynamics 365, and operational systems evolve without a shared reporting model.

Power BI Self-Service With Guardrails

Self-service reporting works when users build from certified datasets, approved metrics, clear access boundaries, and documented publishing standards. Without those guardrails, self-service BI creates competing versions of the truth.

Security and Access Control by Role

Reporting often exposes sensitive operational, financial, customer, employee, or compliance data. BI governance needs role-based access, workspace permissions, data sensitivity controls, and clear rules for sharing reports outside approved audiences.

Lineage and Auditability

Enterprise reporting needs evidence behind the number. Lineage, transformation documentation, source ownership, and dataset certification give leaders and auditors confidence that reported figures are traceable and explainable.

Lifecycle Control

BI environments need standards for publishing, revision, retirement, ownership transfer, and support. Lifecycle control prevents dashboards, datasets, and reports from becoming unmanaged assets after the initial build.

 

How BI Connects to Advanced Analytics and AI

Business intelligence is often the foundation advanced analytics and AI depend on. When metrics are inconsistent, source data is unclear, and reporting logic lacks ownership, advanced capabilities inherit the same weakness at higher speed and scale.

BI Before Forecasting

Forecasting and predictive models depend on trusted historical data, consistent definitions, and known lineage. BI review clarifies whether the reporting foundation is strong enough before prediction, risk detection, or scenario analysis moves forward.

BI Before Augmented Analytics

AI-assisted analytics needs governed datasets, approved metrics, and clear review paths. Business intelligence establishes the reporting structures that make AI-assisted discovery easier to validate and explain.

BI Before Custom AI

AI and automation often rely on reporting outputs, thresholds, classifications, or operational signals. If BI is weak, automated recommendations and AI-driven workflows may amplify reporting errors rather than improve decisions.

From Reporting to Decision Support

A mature BI environment gives leaders a more reliable path into data fusion, predictive analytics, augmented analytics, custom AI, and workflow automation. The progression is stronger when reporting trust, governance, and ownership are already in place.

Modernize BI Before Advanced Analytics Depends on It

Advanced analytics, automation, and AI require reporting structures that leaders trust. i3solutions evaluates BI governance, metrics, semantic models, lineage, and Microsoft platform readiness before advanced capabilities rely on the same data foundation.

Review BI Modernization Readiness

Common Enterprise Use Cases for BI and Reporting

Business intelligence and reporting services are strongest when leaders need trusted visibility across performance, operations, risk, compliance, and planning.

Executive Performance Reporting

Leadership teams need consistent metrics, trusted dashboards, and clear reporting ownership before numbers are used in board updates, operating reviews, budget discussions, or strategic planning. i3solutions structures executive reporting around decision relevance, lineage, and defensible definitions.

Operational Reporting & Performance Management

Operational teams need reporting that reflects how work moves across systems, teams, and processes. i3solutions designs reporting structures that show throughput, backlog, exceptions, cycle times, service levels, and operational trends without relying on manual reconciliation.

Power BI Governance & Self-Service Reporting

Power BI creates value when users can explore trusted data without fragmenting the reporting environment. i3solutions defines workspace strategy, certified datasets, semantic model ownership, publishing standards, and guardrails for governed self-service reporting.

Regulatory, Audit, & Compliance Reporting

Reports used for compliance, audit, records, finance, operations, or executive oversight need traceability and control. i3solutions structures reporting around lineage, access control, documented definitions, and evidence that supports review or audit scrutiny.

Legacy Report Modernization

Legacy reports, spreadsheets, SSRS assets, manual exports, and department-specific dashboards often continue because no one knows which reports are still trusted or required. i3solutions evaluates which reporting assets should be modernized, consolidated, retired, or rebuilt inside the Microsoft analytics environment.

Analytics and AI Readiness Reporting

Advanced analytics and AI initiatives depend on trusted metrics, governed data models, and clear reporting ownership. i3solutions strengthens the BI foundation so future augmented analytics, forecasting, data fusion, and custom AI work are based on reliable reporting structures.

 

Platform-Aligned Delivery Across Microsoft BI Environments

Business intelligence delivers the most value when it fits the Microsoft environment the organization already uses. Platform alignment reduces friction because reporting, governance, identity, collaboration, and data movement stay connected to familiar enterprise standards.

Power BI
i3solutions aligns Power BI workspaces, semantic models, report ownership, audience permissions, certified datasets, and publishing practices so Power BI supports trusted reporting instead of unmanaged report sprawl.
Microsoft Fabric
i3solutions evaluates how Fabric should support reporting modernization, data consolidation, and future analytics needs when data engineering, lakehouse design, and governance architecture are aligned.
Azure Data Services & SQL
i3solutions designs reporting foundations that rely on governed data movement through Azure data services, SQL Server, APIs, storage, identity, and integration architecture rather than ad hoc extracts.
SharePoint, Teams & Excel
i3solutions connects reporting outputs to SharePoint, Teams, Excel transition strategies, Power Platform workflows, and business processes without bypassing governance.

What Business Intelligence Enables When Done Correctly

When BI is designed with trusted metrics, governed semantic models, clear ownership, and Microsoft platform alignment, reporting becomes a decision capability rather than a dashboard inventory.

  • Consistent metrics across executive, operational, financial, and departmental reporting.
  • Reduced manual reconciliation, spreadsheet dependency, and recurring report rework.
  • Stronger confidence in board, audit, regulatory, and leadership reporting.
  • Better visibility into operational performance, exceptions, risk, and process improvement opportunities.
  • Clearer ownership of data definitions, certified datasets, reporting standards, and lifecycle control.
  • A stronger foundation for Microsoft Fabric, augmented analytics, data fusion, predictive analytics, and custom AI initiatives.

BI should produce a more trusted decision environment, not simply more reports, charts, or dashboards.

Related Services and Resources

Business intelligence and reporting often connects to broader analytics, data, AI, workflow, and platform decisions.

Power BI Development Services

For organizations that need hands-on Power BI report development, dashboard builds, DAX, workspace configuration, embedded analytics, performance optimization, or Power BI implementation support.

Explore Power BI Development Services →

Hire Power BI Developers

For organizations that need embedded Power BI developers, data architects, Microsoft BI consultants, or analytics specialists to support dashboard delivery, data modeling, reporting modernization, or Microsoft analytics initiatives.

Hire a Power BI Specialist →

Data Fusion & Predictive Analytics Services

For organizations combining data from multiple systems to improve forecasting, signal quality, risk visibility, scenario analysis, and predictive decision support.

Explore Data Fusion & Predictive Analytics Services →

Augmented Analytics Services

For organizations that need AI-assisted discovery, anomaly detection, natural language exploration, and human-in-the-loop analytics built on trusted BI and governed reporting foundations.

Explore Augmented Analytics Services →

Custom AI Consulting & Integration Services

For organizations evaluating AI use cases, data readiness, workflow integration, Microsoft platform alignment, security controls, and production ownership across broader AI initiatives.

Explore Custom AI Consulting & Integration Services →

IT Systems Analysis Services

For organizations that need to understand systems, workflows, data flows, technical debt, integration points, and operational constraints before defining a reporting, analytics, or modernization path.

Explore IT Systems Analysis Services →

Who Business Intelligence & Reporting Services Are Designed For

These services are designed for enterprise teams that need reporting confidence before modernization, analytics expansion, executive reporting, regulatory review, or Microsoft BI platform decisions move forward.

Best Fit Scenarios

Business Intelligence & Reporting Services are a strong fit when reporting issues affect leadership confidence, governance, auditability, Microsoft analytics architecture, or the ability to make decisions from trusted metrics.

  • Enterprise IT leaders responsible for Power BI, Microsoft Fabric, Azure data services, reporting governance, or Microsoft analytics environments.
  • Organizations with conflicting metrics, duplicated dashboards, unclear ownership, or low trust in executive reporting.
  • Teams modernizing legacy reports, spreadsheet-based reporting, or disconnected dashboard environments.
  • Regulated or risk-sensitive organizations that need lineage, access control, auditability, and defensible reporting structures.
  • Organizations preparing for advanced analytics, predictive analytics, augmented analytics, AI, or automation that depend on trusted reporting foundations.

Less Suited for Purely Tactical Needs

Some requests are better handled as tactical reporting support when they do not involve reporting governance, Microsoft BI architecture, data trust, integration, or enterprise decision risk.

  • Requests for a single simple dashboard with no governance, integration, or reporting trust issue.
  • Organizations seeking only ad hoc report formatting or visualization cleanup.
  • Teams that do not have ownership of the data, metrics, systems, or decisions the reporting needs to support.
  • Situations where the primary need is routine managed IT support rather than BI architecture, reporting modernization, or Microsoft analytics delivery.

i3solutions is best aligned to BI and reporting initiatives where enterprise leaders need trusted metrics, governed reporting structures, Microsoft platform expertise, and a clear connection between reporting outputs and operational, executive, regulatory, or modernization decisions.

Why Choose i3solutions for Business Intelligence & Reporting Services

Business intelligence work becomes more valuable when it is handled as enterprise architecture, not dashboard production. i3solutions brings Microsoft platform depth, reporting governance discipline, and 30 years of enterprise technology delivery to BI environments where trust, integration, security, and supportability matter.

Microsoft-Centric BI and Reporting Depth

i3solutions works across Microsoft analytics and enterprise platforms, including Power BI, Microsoft Fabric, Azure data services, SQL Server, SharePoint, Dataverse, Dynamics 365, Teams, Excel, Power Platform, and custom Microsoft applications.

Governance Before Visualization

Reports are only useful when leaders trust the data behind them. i3solutions evaluates metrics, ownership, semantic models, access controls, lineage, and lifecycle management before BI expands into another unmanaged reporting layer.

Senior US-Based Delivery

BI decisions often affect leadership reporting, compliance exposure, operational visibility, and data access. i3solutions uses senior, US-based teams for engagements where enterprise judgment, documentation, and delivery control matter.

Built for Enterprise Decision Confidence

The goal is reporting that leaders can defend. i3solutions aligns BI work to real decisions, Microsoft architecture, governance requirements, and long-term ownership so reporting remains useful after the first dashboard goes live.

Frequently Asked Questions

What is the difference between business intelligence and operational reporting?

Operational reporting focuses on day-to-day activity such as transactions, task completion, system status, or work queues. Business intelligence goes further by organizing, governing, and contextualizing data so leaders can understand performance, trends, risks, and exceptions over time.

When does Power BI need governance?

Power BI needs governance when reports, datasets, workspaces, permissions, and publishing patterns expand beyond a small controlled group. Governance defines certified datasets, metric ownership, workspace standards, access rules, lifecycle control, and documentation so self-service reporting does not create conflicting numbers.

How do BI services support Microsoft Fabric?

Microsoft Fabric provides a stronger analytics foundation when architecture and governance are in place, but it does not solve reporting trust by itself. BI services clarify metrics, models, data ownership, reporting requirements, lineage, and governance so Fabric-based architecture supports trusted reporting and future analytics.

Does BI modernization reduce Excel dependency?

Yes, when Excel is being used for repeated reconciliation, manual reporting, or unofficial versions of key metrics. BI modernization replaces fragile spreadsheet workflows with governed datasets, standardized reports, approved definitions, and stronger traceability. Excel may still remain useful for analysis, but it does not belong as the only trusted reporting layer.

How is BI different from data fusion and predictive analytics?

Business intelligence focuses on trusted reporting, metrics, dashboards, semantic models, and decision visibility. Data fusion and predictive analytics focus on reconciling data across systems and preparing it for forecasting, risk detection, scenario analysis, or predictive modeling. BI often provides the governed reporting foundation those advanced capabilities rely on.

How is BI different from augmented analytics?

BI establishes trusted reporting structures, governed metrics, and decision-ready dashboards. Augmented analytics uses AI-assisted techniques to accelerate discovery, anomaly detection, natural language exploration, and analyst review. Augmented analytics is stronger when the underlying BI environment already has trusted data, definitions, and governance.

How long does a BI readiness assessment take?

Timing depends on the number of reports, data sources, platforms, stakeholders, and governance issues involved. A focused assessment usually establishes reporting risks, metric conflicts, and modernization priorities faster than a full implementation because the goal is to clarify what needs to change before BI expands.

Do BI services replace internal analytics teams?

No. i3solutions typically works alongside internal IT, analytics, data, and business teams. The engagement strengthens architecture, governance, reporting design, and documentation so internal teams have a clearer structure for operating and improving BI over time.

Build BI Leadership Trusts Under Scrutiny

If reporting still creates debate instead of direction, the issue is usually deeper than dashboard design. i3solutions evaluates the metrics, data models, governance controls, Microsoft platform architecture, and ownership structure needed to make BI trustworthy, scalable, and ready for future analytics.

i3solutions structures BI work around the reporting environments, decision cycles, and Microsoft platforms that need to remain reliable as analytics and AI capabilities grow.

Validate BI Reporting Foundation

About the Author

By , Senior Consultant, i3solutions

Matt Lawson has spent more than 14 years at i3solutions guiding complex enterprise technology work from scope and system design through development, acceptance, and long-term support. His expertise spans technical oversight, solution architecture, SharePoint and Microsoft 365 delivery, Power Platform implementation, business intelligence, enterprise search, and the practical application of AI to solve real business and operational challenges.