A roadmap leadership can approve
BI strategy sets the KPIs, the target architecture, the platform and a phased plan with owners.
Service
Business intelligence services and consulting
Business intelligence services and consulting that connect your systems, define your KPIs and give leadership one trusted view of performance.
Our business intelligence services start with advisory and BI strategy, add training where needed, and move to implementation once you are ready. The result is reporting your executives open every week, because it answers their questions. Remote delivery across the US, the UAE and worldwide.
What it is
Business intelligence services fail on definitions, not on software
Business intelligence services cover what it takes to turn data spread across systems into reliable information for decisions. That includes BI strategy, data integration, data modeling, dashboards and the rules that keep numbers consistent over time.
Here is the common problem. A company can already own a BI tool and still argue about the numbers. Sales reports one revenue figure. Finance reports another. Operations keeps its own spreadsheets. Leadership meetings start with reconciliation instead of decisions.
The insight is that the software is rarely the cause. The cause is the lack of shared metric definitions, a clean data model and a clear owner for each KPI. Fix those, and the tool you already have often works.
Our business intelligence consulting starts there. We list the decisions leadership needs to make, define the metrics behind them, and only then design the data flows and dashboards. Adoption is planned from day one, with training and usage tracking after launch.
Trusted BI is also the first step toward decision intelligence. The same clean foundation later supports scenario planning, embedded analytics and AI use cases.
The outcome is simple to describe. Leadership opens one report, trusts it and spends the meeting deciding what to do about the numbers, not arguing about them. That is the standard every engagement is measured against.
Services
Business intelligence consulting covers four jobs: plan, build, explain, govern
A common starting point is one of these jobs, with others added as reporting matures. Each one can run as a fixed project, an advisory engagement or part of a fractional data team that works inside your business.
Numbers users trust from day one
BI implementation validates every KPI against existing reports before go-live.
Clear answers to why results moved
Business analytics consulting explains drivers and recommends the next action.
One version of each KPI over time
Governance and training keep new reports on approved definitions.
Faster answers to new questions
Self-service datasets let analysts explore governed data without rebuilding the model or creating conflicting KPIs.
A team that can run it without us
Training and documentation give internal staff the skills to maintain and extend every report we deliver.
BI strategy comes first when nobody agrees on priorities. We review your reports, systems and data quality, interview the leaders who rely on the numbers, and write a phased roadmap with owners and success measures. It also names quick wins you can deliver while the larger plan gets approved.
BI implementation is the build itself. We connect sources, build the model, set refresh schedules and develop dashboards. Every KPI is checked against existing reports before launch, so nobody keeps running the old spreadsheets in parallel.
Business analytics consulting answers the next question: why did the number move? We analyze the drivers of margin, retention, pipeline and cost, and present findings with a recommended action.
Governance keeps all of this healthy as it grows. Named owners, naming standards and a review process stop new reports from creating competing versions of the same KPI.
Which job should come first? If leaders disagree on priorities, start with strategy. If priorities are clear but the numbers are unreliable, implementation comes next, once an assessment confirms that the data and the team are ready. If the reports are trusted but nobody knows why results moved, start with analytics. If the environment is growing fast and new reports keep contradicting old ones, start with governance. In each case, the aim is the same: fewer, better numbers that lead directly to a decision.
What we offer
Our BI services build from the data foundation up to the executive view
Good BI is built in layers. Data collection and integration sit at the bottom. The data model and metric definitions sit in the middle. Dashboards and embedded reports sit on top. When a top layer disappoints, the cause is usually a layer below it.
Dashboards leaders open every week
Dashboard development starts with a KPI workshop and a demo-data prototype, then builds on your systems.
Learn more about Dashboard Development Services →Clients see your numbers in your portal
Embedded analytics delivers secure, branded dashboards inside a portal, product or intranet.
Learn more about Embedded Analytics →No more manual exports
Data integration and data warehousing pipelines bring CRM, ERP, finance and marketing data into one model.
Learn more about Data Integration & Data Engineering Services →A board pack without manual assembly
Executive dashboards show revenue, margin, cash and pipeline, with drill-downs and variance flags.
Learn more about Executive Dashboards & KPI Reporting →One governed Power BI estate
Power BI modeling, security, workspace governance and performance tuning.
Learn more about Power BI Consulting →Data that is right from the start
GA4 and CRM tracking plans capture the events and fields your reports depend on.
Learn more about Data Collection & Tracking Services →That is why our BI services are offered as connected building blocks. Each one can be delivered on its own or as part of a larger data modernization program. Two or three can be combined as reporting matures. Every service is scoped separately, and you keep full ownership of what is built at the end of each phase.
If you are unsure where to begin, our AI and data readiness assessment reviews your systems, data quality and reporting needs. It recommends which services to start with, in what order and with which internal owners, so the budget goes to the gaps that matter most to leadership.
How do the layers connect in practice? Take a common case. A CFO wants a reliable monthly board pack. The pack is an executive dashboard, the top layer. It depends on finance and CRM data being integrated into one model, the middle layer. And it depends on deals and customers being recorded consistently, the bottom layer. Fixing only the dashboard would leave the real problem in place. Fixing the layers in order solves the underlying problem, and every later dashboard benefits from the same foundation.
The same logic applies to every service on this page. We start from the decision, check the layers that feed it and fix them in order. That is slower for the first dashboard and much faster for every one after it. Later dashboards reuse the same model, so each one takes less effort, because the integration, model and definitions are already in place and trusted by the people who use them.
The links below lead to a full description of each service, including what it delivers and how it is scoped.
Dashboard development services→Embedded analytics→Data integration and warehouse→Executive dashboards→Power BI consulting→AI and data readiness assessment→Book a consultation→
Next-step finder
Not sure which BI service to start with?
2 questions. We suggest one next step. Nothing is sent anywhere.
Use cases
Business intelligence for the CFO, COO and CMO: each role gets the view for its decision
Business intelligence dashboards deliver value only when they answer a specific leader's question. A CFO, a COO and a CMO look at the same company through different lenses. So we design one first page per role, all built on the same data model and the same definitions. That keeps every leader aligned while each sees the decision they own. The example KPIs below are a common starting point for a workshop. We adapt them for manufacturing, real estate and healthcare, where the operating metrics, regulation and source systems differ.
Close faster and trust the board pack
Revenue against budget, margin by segment, expense variance, days sales outstanding and cash runway.
Finance and management reporting come from the same model, so the board pack is built from approved numbers.
- Revenue against budget
- Margin by segment
- Expense variance
- Days sales outstanding
- Cash runway
Fix bottlenecks while there is time
Cycle time, on-time delivery, utilization, backlog and cost per job, with exception views for today.
Operating metrics refresh on a schedule, with exception views that show today's problems.
- Cycle time
- On-time delivery
- Utilization
- Backlog
- Cost per job
Move budget to what produces revenue
Pipeline by channel, cost per opportunity and marketing contribution to closed revenue.
Marketing and CRM data join in one model, so spend is judged by pipeline and closed revenue.
- Pipeline by channel
- Cost per opportunity
- Marketing contribution to closed revenue
See the whole business on one page
Revenue, margin, cash, pipeline and retention, with short notes on the main movements.
One summary page with short notes on the main movements since the last meeting.
- Revenue
- Margin
- Cash
- Pipeline
- Retention
Sales leader: coach where it counts
Pipeline coverage, stage conversion, win rate and forecast accuracy by rep and segment.
Operations manager: clear today's backlog
Open orders, overdue tasks and team workload, ranked by urgency.
Why one page per role? Because each leader has limited time and a specific decision to make. A shared dashboard that tries to serve everyone ends up crowded, and nobody finds their answer quickly. Role views keep each first page short and focused, while drill-down pages give analysts and managers the full detail. Every role view uses demo data during the prototype stage, so leaders can react before anything is built on live data.
Platforms we use
BI platforms we work with are chosen for fit, not for a vendor relationship
We hold no reseller arrangements, so our platform advice rests on your systems, your security needs and your team's skills. Power BI is our primary BI platform. We connect it to the tools your teams already use, and where a source has no standard connector, we build a reliable integration so data still refreshes on schedule.
One governed reporting homePower BI modeling, row-level security and workspace governance.
Pipeline and customer dataHubSpot, Salesforce and Zoho, including custom objects.
Finance and operations dataNetSuite, Odoo and QuickBooks.Web and workflow dataGA4, Airtable, Zapier, Make and n8n.
A platform choice you can defendWritten comparison of options against your systems, security and licensing.
If you are still choosing a platform, we compare the options and document the reasoning. If several BI tools are in use, such as Power BI alongside Tableau, we assess which to keep and plan a move that protects the reports people rely on.
Whatever the stack, the goal is the same: one governed model that every dashboard reads from, so a revenue figure in a finance report matches the revenue figure in a sales report.
How we work
Business intelligence implementation in four steps: trusted numbers first, scale second
Large BI projects stall when they try to fix everything at once. Our BI implementation method delivers a small set of trusted numbers early and grows from there. A common first phase is one executive dashboard on two or three core systems; later phases add departments and sources. That builds confidence in the numbers before the scope expands.
Trusted numbers first, scale second
Select a stage, use Next or the arrow keysAssess. Know where to start. Advisory first: we review reports, systems and data quality, produce a prioritized KPI list and gap analysis, and confirm fit and readiness before any build.
Step 1 of 4
- Assess. Know where to start. Advisory first: we review reports, systems and data quality, produce a prioritized KPI list and gap analysis, and confirm fit and readiness before any build.
- Design. Approve the design before the build. Metric dictionary, data model, access rules and a demo-data prototype, plus training where needed, approved before the build.
- Build. Release only validated numbers. Connect sources, model data and check every KPI against existing figures. Only validated numbers are released.
- Adopt. Make it part of the routine. Training by role, usage tracking and planning of the next phase, adding departments and sources.
The assessment is advisory work and the entry point. It confirms that we can genuinely help and whether your data and team are ready. Where they are not, we continue with advisory or training before any build, and we say so if another provider would serve you better. Scope, timeline and fees for implementation are agreed in writing only after that check. Each step ends with a sign-off. A named lead on our side stays accountable for scope, quality and communication, and weekly updates keep stakeholders informed. Workshops are scheduled for teams in the US, the UAE and other time zones. Our office is in Dubai, so companies in Dubai and Abu Dhabi work with us in their own time zone.
Why phase the work? Because trust is built one release at a time. When the first dashboard matches the figures finance already accepts, leaders start using it. That early adoption creates demand for the next phase, and each phase reuses the model and definitions built before it, so later releases move faster than the first.
What do you get at the end of each step? A written output you can review: the assessment report, the approved design and prototype, the validated dashboard with its documentation, and the adoption review with a plan for the next phase. Nothing moves forward without your sign-off.
Sample dashboards
Sample dashboards on demo data show what you get before you sign
We do not publish client results on this page. Instead, these sample dashboards use demo data to show the structure we would build for you and the decision each one supports. The interactive example below shows three of the six: executive performance, sales pipeline and customer health. Ask to see the full gallery, including drill-down pages, during your consultation. Each sample shows its insight in the title, the way your own dashboards will.
Sample dashboards: the decision each one supports
Demo dataRevenue vs plan97.1%▼ -2.9 pts
Gross margin41.3%▲ +1.2 pts
Cash on hand$3.4M▲ +6%
Pipeline coverage2.1x▼ -0.3x
Pipeline covers only 2.1x of the remaining target
Pipeline coverage by month, open qualified pipeline / remaining target
CoverageTarget
So what: Add qualified pipeline now, or the second-half target is at risk.
| Segment (Q2) | Revenue | Plan | Variance |
|---|---|---|---|
| Enterprise | $2.14M | $2.10M | +1.9% |
| Mid-market | $1.62M | $1.75M | -7.4% |
| Small business | $0.88M | $0.93M | -5.4% |
Win rate24%▼ -3 pts
Average deal size$38.5K▲ +7%
Sales cycle71 days▲ +9 days
Forecast accuracy88%▲ +4 pts
Most deals stall between proposal and negotiation
Stage-to-stage conversion, last two quarters, %
So what: Coach reps on proposals and review pricing on stalled deals.
| Rep | Pipeline | Win rate | Cycle (d) |
|---|---|---|---|
| Rep A | $640K | 29% | 62 |
| Rep B | $510K | 18% | 84 |
| Rep C | $455K | 26% | 68 |
Net retention (NRR)106%▲ +2 pts
Gross retention91%▼ -1 pt
Renewals in 90 days$1.3M▲ +14%
Accounts at risk17▲ +3
Mid-market churn risk is rising ahead of Q4 renewals
Accounts flagged at risk by segment, quarterly
Mid-marketEnterpriseSmall business
So what: Call mid-market accounts with Q4 renewals first.
| Account | Renewal | Usage | Cases |
|---|---|---|---|
| Account 1 | Nov 14 | -22% | 4 |
| Account 2 | Dec 02 | -15% | 2 |
| Account 3 | Dec 19 | -9% | 5 |
Decide if the year is on track
Executive performance: revenue against plan, margin, cash and pipeline coverage.
Decide which deals need help
Sales pipeline: stage conversion, win rate, deal size and forecast.
Decide where to add capacity
Operations: cycle time, on-time delivery, backlog and utilization.
Decide which channels get budget
Marketing: pipeline and revenue by channel, cost per opportunity.
Decide which accounts to renew first
Customer health: retention, expansion and churn risk by segment.
Decide where margin is leaking
Finance close: profit and loss by entity, expense variance and receivables aging.
Related resources
Plan your BI program faster with our business intelligence guide
A short guide for decision makers who want to understand what BI can do before they choose a tool or a partner.
Start here · Guide
Understand what BI can do for you
The business intelligence guide: what BI is and how leadership teams use it.
Frequently asked questions
Business intelligence services: questions buyers ask before they sign
Business intelligence services are the consulting and build work that turns data from separate systems into reliable reporting. They usually include BI strategy, data integration, data modeling, dashboards, metric governance and user training. They can be delivered as a project, an advisory engagement or an ongoing fractional data team.
A business intelligence consultant helps a company decide what to measure, where the data comes from and how to present it. The role combines business analysis, data modeling and dashboard design. Good consultants spend as much time on metric definitions and adoption as on the technology.
It depends on the number of data sources, the state of the data and the number of departments involved. We phase BI implementation so the first trusted dashboards reach leadership early, then expand. The timeline for each phase is confirmed in a written scope after the assessment.
Start with your existing systems, security needs, team skills and how reports will be shared. Power BI often suits companies already on Microsoft 365. Because we hold no vendor arrangements, our recommendation is based on fit, and we write down the reasoning so you can review it.
Cost depends on scope: the number of sources, dashboards and audiences, and whether data cleanup is needed. We offer fixed-scope projects, advisory engagements and a monthly fractional data team. You receive a written proposal with scope and fees after the first consultation, before any commitment.
Yes. Self-service BI works when the data model is clean, metrics are defined once and users are trained. We build governed datasets with approved measures and plain names, so business users can answer new questions themselves without creating conflicting numbers.
Talk to a business intelligence consultant about your next decision
Start with a consultation about your reporting goals. You leave with a clear next step, which may be advice or training rather than a build. Remote, no obligation, under an hour.