Business Transformation & Data Consulting Services
Transform How Your Business Runs

Most strategy work fails at the input stage, not the recommendation stage. The advisor walks in without enough current-state data, makes the recommendation that fits the methodology, and the client builds against assumptions that turn out to be wrong eight months in.
We start every engagement with a structured current-state assessment: what platforms exist, what they cost, what processes run on them, where the integration gaps live, and what the actual change mandate is. The recommendation that follows is grounded in numbers you can defend to a board, not in industry-best-practice abstractions. If the data points away from the engagement we would normally sell, we will tell you.

Technology decisions made in isolation from the business almost always cost more to fix than they cost to make. The classic version: a finance leader picks the platform that solves the close-cycle problem, and discovers in year two that procurement, FP&A, and revenue recognition all run on incompatible assumptions because nobody mapped the cross-functional dependencies before signing.
Our advisory work begins with the operating model, not the platform. We map how finance, procurement, sales operations, and supply chain actually interact, where the data has to flow, what the reporting and control demands are, and which decisions are upstream of the platform choice. The platform recommendation comes after that mapping is done, and it changes regularly because the mapping reveals constraints the original brief did not include.

Most strategy firms staff their engagements with consultants who have read about the platforms they recommend. We staff with consultants who have implemented them. The senior people on your assessment call are the same senior people who will be in the kickoff if you proceed, and the same senior people who will sign off on the configuration before go-live.
The team’s advice is grounded in delivery reality, which means we will tell you when a vendor's marketed timeline is achievable and when it is not, when a feature works in practice and when it works only in the demo, and when an integration that someone is selling you does not need to be built.

Most transformation programs are scoped against the business as it exists today. The platforms the program selects are the right platforms for current-state operations, and become the wrong platforms eighteen months later when the business has reorganized, acquired, divested, or changed its operating model.
The strategy work has to be designed for the business you are becoming, not the business you currently are. That means the architecture has to absorb organizational change without re-platforming, the data model has to support the entity structure you will have at the next stage, and the integration layer has to handle the platforms you have not bought yet. We design for plausible three-year and five-year states, not for a snapshot of today, and we surface the assumptions explicitly so the choices can be revisited as the business evolves.

Technology investments are large, slow to pay back, and easy to overscope. The single most common failure mode is buying capability you will never use, then paying licensing on the unused modules for the life of the contract.
Every recommendation we deliver is paired with a TCO model that names the licensing, implementation, integration, and managed-services costs over a three-year window against the operational savings, headcount avoidance, or revenue impact the program is supposed to deliver. The model is yours to keep, challenge, and update. If the ROI does not stand up to a finance leader's review, the program should not proceed in its current form, and we will scope the smaller version that does.