Data to be used for customer analytics is scattered across multiple locations

Together with you, we will map out all the data sources, integrate them with the customer analytics solution through ready-made or custom connectors, and set up uninterrupted flows of high-quality and analytics-ready data.

There is no big data storage yet in place

We will architect and build your big data storage consolidating any amount of data in any formats, setting up data lakes and data warehouses depending on your needs, on-premises or in the cloud, in line with your data governance model.

It’s hard to leverage customer analytics because of poor-quality data

Prior to integrating your data into a customer analytics solution, we will set up a data quality pipeline with processes for gathering, cleaning, cross-checking and de-duplicating it, ensuring only correct and reliable data is used at any time.

Customer analytics is inaccessible for citizen analysts

We will develop a customer analytics tool that’s friendly to non-tech users by design. Such a solution can contain an interactive UI, no-code tools, and self-service analytics dashboards tailored to your users’ roles.

Customer Data Analytics: Types, Metrics & Development Guide