Most analytics projects do not fail at the dashboard. They fail two steps earlier - when two systems hold the same number and neither side can say which one is right, or when "active customer" means three different things in three departments and nobody noticed until the board asked. A dashboard built on top of that disagreement is not decision support; it is the disagreement, rendered in colour.
Our data analytics work starts by connecting the sources and settling the definitions, and only then builds the reporting. The order is the whole point.
Two teams present the same metric to the same meeting and the numbers do not match. A monthly report takes days of manual extraction and reconciliation before anyone can look at it, and the person who knows how to do it is a single point of failure. You have bought a reporting platform and it is being used as an export tool. A regulator, auditor or investor has asked for a figure you cannot produce without a week's notice. Or you are about to invest in a data platform and have no agreed definition of the entities it is meant to hold.
Your sources already agree, your definitions are documented and your reporting is trusted - in which case what you may need is a specific new analysis, not an analytics programme. Or your real problem is that one operational system records the wrong thing at the point of entry, in which case fixing that system is cheaper than building reporting to compensate for it. We will tell you when that is what we see, and it costs you one conversation to find out.
We start with the decision the reporting has to support, not a product shortlist. Which decision, made by whom, how often, and what would have to be true for it to change. A metric that no decision depends on is overhead, however well it renders.
We score realistic options against your own criteria - cost, fit, implementation risk, local support - without a reseller margin sitting behind the answer. Where a vendor in our partner network is not the best fit, we say so. Where your existing platform can do the job and the gap is in the data underneath it, we say that too, and it is a common finding.
You receive a written recommendation with the trade-offs made explicit, not a single option presented as the only one. It covers the platform, the modelling approach and the definitions that have to be agreed before anything is built. Sign-off is yours; the case for it is ours to make clearly.
Connecting the sources, modelling the data, agreeing and documenting the definitions, then building the reporting on top. Integration with the systems you already run stays our responsibility rather than yours to chase.
The relationship does not end at go-live. Definitions drift, sources change and new questions arrive; we stay engaged as an advisor for the decisions that follow.
A written inventory of the sources in scope and what each is authoritative for. A documented set of agreed metric and entity definitions - the artefact most analytics programmes skip and most later disputes trace back to. A data model and the integration or pipeline work that populates it. Reporting built against the decisions identified in stage 1, in the platform chosen in stage 3. And a handover covering who owns each definition, how a change to one is requested, and what your own team can alter without calling us. Where the need is governance and capability rather than delivery, that is business intelligence consulting work and we scope it as such.
The advisory stages - decision mapping, source assessment, platform recommendation - are scoped and dated in the proposal, so the length is known before you commit. Build timelines depend on how many sources are in scope, how many of them have supported connectors, and how contested the definitions turn out to be, which is usually the variable that actually moves the date. We do not quote a build duration before that assessment exists.
The advisory stages are scoped and priced as a fixed-fee engagement agreed after an initial discovery conversation. Build and integration are contracted separately against the scope that assessment produces, so cost tracks the actual number of sources and definitions rather than a flat retainer. Ongoing advisory after go-live is a separate, cancellable arrangement rather than something folded into the build fee. Platform licences are bought from the vendor on your paper where you prefer - we do not earn a margin on them, and you should put that same question to every other firm bidding, because the answer changes what their platform recommendation is worth.
CFOs and finance directors whose close depends on manual reconciliation. COOs who need an operational metric to be the same number in every room. CIOs holding a reporting platform that has not displaced the spreadsheets. Heads of data with a mandate and no agreed definitions to build against. And boards asking for a figure the organisation can produce only with notice.
Where our clients have approved publication, the engagement is written up on our success stories page with the detail they approved. That page, not this one, is where the record lives - and it is deliberately not a complete record, because most clients in regulated sectors do not publish. The absence of a story matching your situation is evidence about permission, not about experience. Ask in a first conversation and, where the client agrees, we will put you in touch with them directly.
There is no honest single answer before the sources are seen, and a firm that gives you one is quoting a sales number. What actually drives it is knowable in the first conversation: how many source systems are in scope, how many have supported connectors versus needing custom extraction, how much history has to be migrated and cleaned, and - the variable that most often moves the date - how many metric definitions are currently contested between departments. We scope and date the advisory stages in the proposal, and date the build only once that assessment is done. Ask any bidder which of those four they measured before quoting you a duration.
Licence is rarely the largest line. Over three years the cost that matters is the sum of: platform subscription including the seats and capacity you will add in years two and three, which in consumption-priced platforms is the line that surprises people; connectors and the custom extraction for sources that have none; the pipeline and storage the platform sits on; data cleanup and migration; internal staff time, which is real cost even when no invoice is raised; training, without which the platform becomes an export tool; ongoing support and definition maintenance; and the cost of exit - what it would take to move the models and reports elsewhere. We model those lines against your own numbers during the evaluation stage rather than publishing a figure here that could not be true for two different organisations.
Compliance is a property of the architecture you end up with, not of the service that recommends it, so the answer depends on what is being processed and where. Analytics is where this bites hardest, because a reporting layer tends to aggregate personal and operational data that was previously separated. The obligations that most often bind this work in the Kingdom are the Personal Data Protection Law, administered by the Saudi Data and Artificial Intelligence Authority (SDAIA), which governs how personal data is processed and transferred; the National Cybersecurity Authority's controls where the organisation is a national or critical entity, including the cloud services it consumes; and ZATCA's requirements where the data touches invoicing or tax reporting. We start from classification - what data, at what sensitivity, under whose mandate - and only then ask which hosting region and which contractual commitment satisfy it. Take the residency commitment as a contract clause rather than a datasheet claim.
Whatever is realistic for your size, budget and regulatory context - including options outside our own partner network where they fit better, including your existing platform if it is adequate, and including the option of fixing the source system instead of building reporting around it. You receive the rejected options with the reason for rejection, not only the winner.
Yes, and that is normally the right answer. Analytics is by nature a layer over systems that stay where they are - the ERP, the CRM, the point of sale, the operational databases keep running and keep being authoritative for what they own. Replacement only enters the conversation for a source that cannot expose its data at all, and that is rarer than vendors selling a replacement suggest. What does change is discipline at the source: if a field is entered inconsistently today, the analytics layer will show you that faithfully rather than fix it.
Three reasons, stated as positioning rather than as a claim we are asking you to take on trust. First, we are independent of the platform decision - we do not earn a margin on your licences, so a recommendation to keep what you have costs us nothing to make. Second, we treat definitions as a deliverable rather than a by-product, which is where large organisations with many departments actually lose. Third, the engagement does not end at go-live, because in analytics the second year is when the definitions drift and the sources change.
None of that is evidence, and you should not treat it as such. What to ask instead - of us and of everyone else bidding: for named engagements of comparable source count and sector, with the client contactable; for what baseline any improvement percentage was measured against and whether that baseline was recorded before the work or reconstructed after; for what your own team could change after handover without raising a variation; for an engagement that went badly and what changed as a result; and for how the firm is paid, including whether it earns on the platform it is recommending.
We name a client only where that client has agreed to be named for the specific purpose. The organisations who have agreed are on our customers page, which is maintained against those permissions rather than assembled for this page. If you would like a reference from an organisation of comparable size, sector or source complexity, ask during a first conversation - we will approach a suitable client and put you in touch directly if they agree, which is worth considerably more than a grid of logos.
Our published project record is on the success stories page. It carries the engagements our clients approved for publication, with the detail they approved, and it contains no anonymised composites. That is the honest extent of what we can show a stranger on a web page; the constraint is publication, not disclosure to a prospective client under an appropriate agreement.
Client feedback we have permission to publish appears below this page's content and on our customers page. No quotation is written into this section, and the absence is deliberate: we do not publish a client quote until the client has reviewed and approved the exact wording attributed to them, for the specific place it will appear. If what you want is to hear from somebody who has been through this, ask for a reference call - ideally with the finance or operations lead who had to sign off the new definitions, because they are the one who lived through the disagreement.
Our current vendor relationships, accreditations and the certifications our consultants hold are published on the partners page. We keep them there rather than restating them in service copy, because partner tiers and individual certifications change and a page asserting a status it can no longer stand behind is worse than one that does not assert it at all. The platforms most often in scope for this work include Microsoft Power BI for reporting and Snowflake for the data platform underneath it; which of them is right for you is an output of stage 2, not an assumption going into it. Ask for the certifications of the named individuals who would be on your engagement rather than the firm's aggregate status.
A first conversation is a diagnostic: which decision is not being supported today, which sources disagree, and whether the gap is in the platform or in the definitions underneath it. If it is the second - and it usually is - we will say so before anyone talks about licences. Book a decision session to start there.