Analyse Data

After you have taken responsibility over the data (by collecting and transforming it to your standards) you are ready to use its information content in your downstream business processes.

Generate insights to support decision making:

  • Descriptive Analytics - tells you what happened in the past.
  • Diagnostic Analytics - helps you understand why something happened in the past.
  • Predictive Analytics - predicts what is most likely happening right now / to happen in the future.
  • Prescriptive Analytics - which goes beyond predicting future outcomes by also suggesting actions to benefit from the predictions and showing the implications of each decision option.

Start your analytics by using BigQuery directly or through a Jupyter Notebook.

Analyse DataAnalyse data

 

For example:
  • aggregate revenue per day in real-time to see how your business is doing
  • understand through which affiliates those new customers landed on your website
  • see what articles will be low on stock soon
  • what effect will showing certain content/articles to a specific customer have on the expected revenue

For knowledge discovery and modelling we are skilled working with

  • Google Cloud Dataprep
  • Google’s implementation of Trifacta, Google Cloud Datalab
  • Google’s AI Platform, Jupyter Notebook
  • Crystalloids proprietary InsightOS for analysing, selecting and visualising 
  • Looker data platform
  • Many other non-Google products for reporting and machine learning

The kind of tooling and way of developing to choose depends on the required time constraints, available budget, technical requirements and the skills present.

Analyse Data
Marketing Analytics
Unlock value from your first-party data to improve marketing ROI
Analyse Data
Customer Data Platform
The data foundation for delivering personalised customer experiences
Analyse Data
ContactServices API
Data integration from various sources that are not naturally designed to talk to each other