Insight that arrives too late
Timelines slip. The answer lands after the moment it was commissioned to inform has already passed.
Capability 03
Data Analytics & Decision Intelligence
Move from numbers to meaning.
Thirty years of statistical practice applied to the question of what the data actually licenses you to do next.
The problem it solves
Volume was never the constraint.
Most organisations already hold more data than they use. The work that turns it into a decision — processing, validation, testing — is the part that gets compressed when the timeline slips, and it is the part nobody can see has been skipped.
What comes back is either late, or last quarter's framework with new numbers in it. Neither one tells you what the data licenses you to do next. We analyse against a stated decision, and we test differences before we call them differences.
The same report, every time
Typical research reports with no newness and no advancement — one framework applied regardless of the actual question.
What's included
Five pieces of analytical work.
Applied to data we collected, or to data you already hold and have not been able to use.
-
Statistical analysis & testing
Thirty years of it, from Aftab through to Nielsen, under our head of data analytics.
-
Segmentation modelling
Segmentations sit in the head of quant's remit alongside brand health tracking and central location tests.
-
Data processing & validation
Data processing, input, validation and control — over twenty years of the discipline that decides whether anything downstream can be trusted.
-
Descriptive analysis
Part of the founder's own delivery remit, so the analysis and the recommendation are written by the same person.
-
Insight synthesis
Findings are taken through to what should be done about them, rather than stopping at the tables.
How it runs
Clean, then test, then decide.
The order matters more here than anywhere else, because every step inherits the errors of the one before it.
-
01
Outsmart
Fix the decision first
Analysis with no decision attached to it produces description. We agree what the output has to settle before opening the file.
-
02
Outsmart
Process and validate
Data processing, input, validation and control come before any finding is quoted — the least visible work and the most load-bearing.
-
03
Outsmart
Test rather than assume
Differences are significance-tested before they are described as differences, and the same standard applies to every wave.
-
04
Outpace
Model the options
Segments and models are built to separate the choices in front of you, not to demonstrate technique.
-
05
Outperform
Set the baseline
We agree what will be measured after the decision, so the next round of analysis has something to be judged against.
Related
Related work and writing.
A published case study that involved Data Analytics & Decision Intelligence, and the latest article from Insights.
Reading the Electorate Before Writing the Message
Messaging designed against measured sentiment, not assumption
Research Agencies in Pakistan: What Separates Good Research from a Good-Looking Report
Almost every research agency in Pakistan presents the same list of services. The differences only appear once a project starts - in who does…
The rest of the chain