Skills to truly realise the potential value in your data
Insight & Analytics
Strong insight & analytics professionals bring together insight from various sources to inform decision making. They are proactive in nature, rather than only reacting to business questions. As well as the necessary technical skills, they build strong stakeholder relationships, and are able to grasp the commercial context of the problem being solved.
Whilst market research most often sits within marketing, analytics and reporting skillsets are increasingly applied across all functions.
Examples from our clients are:
- customer segmentation and insight
- credit & risk
- marketing and CRM campaigns
- finance
- supply chain & logistics
- operations and customer service
- HR and People
- manufacturing
client side experience
between our leadership team & associate consultants we have decades of experience in a broad set of commercial and technology disciplines
Some examples prior to joining CVM People are:
Modelling:
Building analytical models into marketing activity, with the business change to move from broadcast activity to targeted 1:1 interactions for acquisition, growth & retention.
Segmentation:
Building behavioural, value, and needs based segmentations to drive out greater insight into the customer base to shape customer strategy.
Machine Learning:
Using machine learning to predict abnormal behaviour in the customer base for fraud detection and identifying excessive spending behaviour.
the boundaries between analytics, data science & MI are blurring.
From a much longer list, the following are example toolset profiles we can resource:
Analytics & Data Science toolset examples
Traditional analytics: SAS & SQL
Digital analytics: Google Adobe & Omniture
Data Science: R, Python & Spark
Application & Techniques examples
Basket analysis, RFV/RFM & propensity models
Campaign & A/B evaluation
Attribution & econometrics
Lifetime value LTV & commercial forecasting
Machine learning, regression, probabilistic & factor analysis
MI, Reporting & Visualisation toolset examples
Business, Objects, Oracle BI
Power BI, Qlik Sense, Tableau
Looker, D3.js
Behavioural Science & Research Application
Behavioural economics
Qual & quant
Segmentation
Product & price testing
Advertising & brand