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How to align data suppliers

July 26, 2019

Garbage in, garbage out. Its a universal rule. But the
problem with marketing data analytics is not usually
that the numbers are rubbish. More often its a question
of the data being in the wrong form, inconsistent
from one period to the next, aggregated when it should
be raw, or simply not relevant to the activities you want
to model. Time and effort spent specifying exactly
what is needed is a key part of any investment
in marketing effectiveness modelling.
And if experience teaches us anything,
it is that cutting corners or making
unjustified assumptions at this early
stage is likely to prove an expensive mistake
in the long run.

Spotlight

OpTix Group

OpTix Group is a data science company that helps funds and media firms maximize profits and minimize investment risk by accurately predicting future market behavior and providing actionable insights to drive growth. Our technology is developed by an experienced team of data scientist PhDs and C-level industry executives; and is financed by Yale University. At OpTix Group, we build powerful, artificial intelligence algorithms – that employ the most advanced innovations in machine learning; quantitative analysis; statistical modeling; and artificial neural networks. We provide our strategic partners with a comprehensive set of scalable solutions that: de-risk investments; reduce costs; drive media content development & delivery; forecast market demand & sales; determine dynamic pricing; create guided analytics; optimize resource allocations; grow audiences; and generate dynamic data-driven marketing strategies. We dive deep into the vast, swirling ocean of unstructured market data to dec

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How to align data suppliers