Data lake

Our Nordic data lake counts 800+ 3rd party variables, including statistical data and data from official registers all over the Nordics

Enter a world of data with our data lake

Our data lake counts more than 800 variables; sourced from national registers, statistical bureaux, behavioural & opinion bureaux, along with a suite of predictive models and segmentation models that we have developed. In our data catalogues you get a detailed understanding and overview of our most often requested variables

 

To grant you the highest data quality, all data in our data lake come from reliable sources; public, national registers, either 1-to-1 or as statistical variables. We structure, validate, and update them continuously; whilst also growing the data components by adding new sources. Furthermore,our team of data experts can guide you to the right data for your organisation, the most relevant segmentation variables for your project, and the nature and structure of the register data

 

With flexible access points, all this makes it easy for you to implement data into your data science and business processes; it's just plug & play!

 

Data overview

Demographic data

Optimised statistical clusters

Denmark, Finland, Norway, Sweden

  • Family type
  • Life-phase
  • No. children
  • Education level
  • Employment status
  • Car ownership
  • Age
  • Etc.

Economic variables

Optimised statistical clusters

Denmark, Finland, Norway, Sweden

  • Income- personal & household
  • Wealth
  • Etc.

Address data

1:1 address database

Denmark, Finland, Norway, Sweden

  • Number, street, post code, region, X/Y co-ordinates
  • Cluster grids
  • Drive-time data
  • Etc.

Prospect universe data

1:1 from open telephone registers

Denmark, Finland, Norway, Sweden

  • Full name
  • Telephone Mobile
  • Telephone Landline
  • Decision Maker (18+) = Woman
  • Decision Maker (18+) = Man
  • Validated contact details
  • Etc.

Modelled data

Statistical models

Denmark, Finland, Norway, Sweden

  • conzoom®
  • Share-of-Wallet
  • Propensity to buy
  • Attitude to money
  • RFM
  • Opinion / Behavioural (e.g. Kantar based, or digital based etc.)
  • Etc.

Company data

1:1 company register

Denmark, Norway, Sweden

  • Contact details
  • Industry
  • No. employees
  • Financials
  • Etc.

Opinion level data

Qualitative survey data

Denmark, Norway, Sweden

  • Access to TNS Kantar survey database, plus othher panel databases (e.g. Wilke)
  • Full survey level data linked via respondance address & conzoom®type
  • Etc.

Property data

1:1 property register

Denmark

  • Size
  • Building age
  • No. bathrooms
  • Heating type
  • Etc.

Data catalogues

Our data catalogues display the most sought-after variable in our data lake from each of the Nordic countries: Denmark, Finland, Norway, and Sweden. However, if you do not find what you are looking for, do not hesitate to reach out as we work with or have in-depth knowledge of a number of additional registers as well

Our SME says

Ross Whalley portrait

Ross Whalley

CSO & Partner

+45 2018 8378

Linkedin

Data lake vs data warehouse

A data lake differs from a data warehouse by enabling you to operationalise both structured and unstructured data. Unlike a data warehouse that has a predefined purpose for working with structured and filtered data – usually to support reporting capabilities; a data-lake is much more fluid in nature and allows you to collate data from all different areas and sources across your business; your CRM, transactional data, customer satisfaction surveys, omni-channel marketing data; customer interactions etc. and work with them without the need for pre-determined structure

 

Our data lake gives you easy access to add more than 800 3rd party variables to the mix – data that has a wide variety of business benefits and customer insights, is GDPR compliant and agile: ideal for implementing in machine learning and predictive analytics

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