About
We're here to tackle your business' big questions
Who we are
Our consultants are experts in data-led decision making, going beyond top-level recommendations to empower decision makers with end-to-end data strategies.
A diverse group of strategic thinkers, we work laterally to bring together detailed numerical insight and big-picture strategic context.
Traditional consulting options typically include strategy consultants or data scientists, working in siloes, with important insight lost at each handover stage – at DVS, no potential is left behind. At every step, we go back, we reiterate and explore, and make sure that at all points we are finding you value.
Our Team
A diverse group of creative minds experienced in the questions that matter to you
What we do
We know how to answer the big picture questions that define your business; and have the skills to dive deep into your consumer and transaction data to build evidence for what the biggest drivers are. We typically work with multiple billion-row data sets and understand where to probe to find answers that step change business success.
We perform three distinct phases.
Opportunity identification, proofs of value, and POC implementation
Opportunity Identification
Objective
We define the strategic value of your data, identifying the potential of different use cases and assessing their commercial/monetary upside
Engagement
We work closely with your senior team, wew assess the potential for a series of different cases, and understand how these fit in with the wider business priorities
Deliverables
High-level estimate of potential value for each of the short-listed initiatives, focusing on their commercial upside
Proof of
Value
Objective
Deliver analytics tools (models, dashboards, etc.) of identified use cases, allowing these to be embedded into existing business and data architectures.
Engagement
We maintain regular contact with project sponsors, ensuring ability to embed into existing architecture, while delivering its commercial imperative
Deliverables
Depending on the use case, this could vary from data platform build, ML models, dashboards or other tools
Early Implementation
Objective
Rapidly prove the value of analytics to the business by analysing a high priority opportunity in detail
Engagement
We perform ad-hoc or one-off detailed analyses, bypassing a ‘build phase’ to speed the process up, testing and iterating hypotheses as we go
Deliverables
Detailed analyses or models proving the value of the use case, as well as project report with a clear roadmap for implementation
