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Answers to your core BI challenges
We work across the full BI consulting cycle: architecture, tooling, pipeline health, and reporting quality. Whatever stage you’re at, we work with what you have and build toward what you need.
We’ll help you with:
- Architecting a solution within your budget and technical constraints
- Selecting the right development and visualization tooling
- Building a phased, actionable development roadmap
We’ll help you with:
- Mapping your data requirements against Looker’s capabilities
- Assessing your team’s technical profile and adoption readiness
- Benchmarking Looker against alternative BI platforms on cost, scalability, and fit
We’ll help you with:
- Auditing end-to-end data pipelines for latency and failure points
- Reviewing your current BI tooling and data source integrations
- Identifying data quality issues and processing bottlenecks
What's standing between you and reliable BI?
Our business intelligence consulting team has hands-on experience across complex, high-volume data environments, with messy source systems, fragmented pipelines, reporting that won’t come together. Share the details, and we’ll take it from there.
How we work
We support companies at every stage of their BI journey, including early-stage assessment and architecture and delivery planning.
Business case analysis
- Auditing IT infrastructure and current data landscape against actual business needs
- Identifying gaps between business objectives and existing BI capabilities
- Delivering structured findings with prioritized, actionable recommendations
Architecture blueprinting
- Evaluating non-functional requirements, like scalability, latency, and data volume
- Recommending the right architecture pattern (Lakehouse, Lambda, Kappa, etc.) and technology stack
- Finding performance bottlenecks and redesigning where the current setup limits growth
Strategy and roadmapping
- Defining long-term BI vision alongside the stakeholders who’ll own it
- Building phased roadmaps covering feasibility, priorities, and delivery milestones
- Establishing knowledge management practices to keep the strategy executable over time
Implementation planning
- Structuring delivery around agile, incremental value, not big-bang releases
- Defining team composition, skill requirements, and service-level expectations
- Mapping integration points with existing systems and building a risk register from day one
Beyond BI consulting
BI engagements differ in scope, maturity, and what's already in place. Find the area that fits your current situation.
Integrate your data sources
Connect disparate systems, consolidate data flows, and build a unified foundation for reporting and analysis.
Build from the ground up
Move beyond the business intelligence consulting service into full-cycle development: architecture, data modeling, and delivery under one roof.
Validate your BI solution
Identify reporting gaps, data quality issues, and performance problems before they reach decision-makers.
Access mobile BI
Give field teams, executives, and on-the-go stakeholders access to live dashboards and reports on any device.
Our related BI expertise
Consulting is where we start. These are the adjacent capabilities we draw on to deliver it.
FAQ
BI consulting focuses on the infrastructure and systems that make data accessible and reportable: data architecture, pipeline design, warehouse structure, and the dashboarding layer on top.
Data analytics consulting goes further into the interpretation side: statistical modeling, predictive analysis, and surfacing patterns that aren’t visible in standard reports.
In practice, the two often overlap, but engaging a business intelligence consulting company typically means the primary focus is on building a reliable, scalable foundation for data visibility.
We work across the major platforms, like Power BI, Tableau, Looker, Qlik, and MicroStrategy, as well as open-source options like Apache Superset and Metabase. Tool selection depends on your data stack, team technical profile, query volumes, and budget. We don’t push a preferred platform, evaluating fit based on your actual requirements.
It depends heavily on the scope and starting point. A focused audit or tool selection engagement can wrap in two to four weeks. A full BI implementation, covering data modeling, warehouse setup, pipeline builds, and dashboard delivery, typically runs three to six months. Projects with significant data quality issues or complex source system integrations tend to run longer. We scope timelines after an initial assessment, not before.
Yes, and it’s often the preferred starting point. We assess what’s already in place, identify structural or performance issues, and recommend targeted improvements rather than defaulting to a rebuild. Whether you’re on Snowflake, BigQuery, Redshift, or an on-premise setup, we work within your existing environment and only propose migration where there’s a clear, justified case for it.
