Define the commercial decision, available data and assumptions.
MARKETING INTELLIGENCE + DATA SCIENCE
Put more context behind the decision.
Connect market, campaign and customer evidence to the questions your business needs to answer. Use analytical models only where the data and decision justify them.
START A PROJECTGet the important question clear.
A complex model is not automatically a better decision tool. We establish data quality, uncertainty and the action a finding could change before choosing descriptive, predictive or experimental methods.
FIELD NOTE 32 / Marketing Intelligence + Data ScienceA complex model is not automatically a better decision tool.
02 / WHAT CAN BELONG IN THE SCOPESpecialist depth.
Specialist depth.
Connected delivery.
These capabilities sit within Marketing Intelligence + Data Science. We choose the combination that addresses your brief; the engagement is not a requirement to buy every item.
- Marketing Intelligence
- Data Science
- Predictive Analytics
- Data Integration
- Dashboarding
- Audience Research
03 / THE WORK, IN PRACTICEFrom a clear brief
From a clear brief
to useful delivery.
Combine exploratory analysis with appropriate modelling or experiments.
Explain uncertainty, limitations and practical implications.
Frame the question
Define the commercial decision, available data and assumptions. Identify missing evidence and determine whether the question can be answered reliably.
Choose the method
Combine exploratory analysis with appropriate modelling or experiments. Validate predictions against held-out or later data rather than judging them on the examples used to build them.
Bring findings into use
Explain uncertainty, limitations and practical implications. Provide a repeatable reporting or analysis process with clear ownership and review points.
Evidence for
the next decision.
Agree the baseline, definitions and review cadence before delivery. The right measures follow the business problem and the data available—not a standard dashboard.
- 01Decision relevance
- 02Model or analysis validity
- 03Repeatability and data quality
Predictive analytics is used only when data supports validation. Forecasts are uncertain and should not be presented as guaranteed future outcomes.
Bring the context.
We’ll help shape the brief.
Who it is for
Digital leaders, product teams and analytics owners who need a focused Marketing Intelligence + Data Science programme and a clear connection to the wider business.
What helps us begin
A defined business question, authorised datasets, data dictionaries and access to the decision owners.
What we agree together
Deliverables, responsibilities, access, approvals, costs and a realistic review rhythm. We identify dependencies before committing to implementation.
06 / GOOD QUESTIONSBefore
Before
the next step.
What should a Marketing Intelligence + Data Science engagement solve first?
We begin with the constraint described in your brief, not a standard channel checklist. The first decision is usually whether to frame the question and what evidence would justify the next step.
Which Marketing Intelligence + Data Science capabilities can belong in scope?
Relevant capabilities include Marketing Intelligence, Data Science, Predictive Analytics, Data Integration, Dashboarding. We select only the combination needed for the outcome and document dependencies before delivery.
What does BackTeams need before Marketing Intelligence + Data Science work begins?
We usually start with a defined business question, authorised datasets, data dictionaries and access to the decision owners. A named owner helps resolve access, priorities and approvals.
How is Marketing Intelligence + Data Science performance evaluated?
We agree a baseline and read decision relevance, model or analysis validity, repeatability and data quality in context. Reporting must support a decision. Predictive analytics is used only when data supports validation. Forecasts are uncertain and should not be presented as guaranteed future outcomes.
Can Marketing Intelligence + Data Science connect with our internal team and other agencies?
Yes. We define ownership across data + digital experience, adjacent specialists and your team, then use a shared review cadence so evidence travels between disciplines.
Know more. Make it easier.
One specialist team or several connected disciplines.
We’ll work out what belongs in the plan.