Lift Performance environment

platform

Our solution has two main components: data connector and data platform. You will have access to these components immediately after delivery and you will have complete control regarding your data.

data connector

Configure and monitor your data extractions

In the Lift Performance web application you will have acces to the Application Connector, this enables you to configure all applications which need to be synchronized to the data platform.

Once configured, you will have an overview on the status of active and previous synchronizations.

The Application Connector also allows you to initiate new synchronizations.

lift performance web application
supported sources

data platform

Centralized data

The ‘beating heart’ of our data platform is formed by a Snowflake environment especially created and configured for you.

This cloud based data platfom will host all your data and forms the foundation for reporting & analytics, AI, Data Science and other data consumption.

The Snowflake environment will be configured according our standards:

  • Users, roles and privileges
  • Databases and schemas
  • Warehouses (compute clusters)
  • Data Masking policies
 

All source data which lands in Snowflake will be organized including historic data mutations. This results in a complete archive of all your data.

Our data flows will be continuously monitored and improved to optimize effectiveness and efficiency of the environment

Sensitive data (PII) will be masked by default so that it is only available for authorised users, this will support you in following GDPR guidelines.

Approach

approach

What can you expect when boarding our gondola?

Week 1
  • data connector configured
  • snowflake environment created and configured
  • first source(s) synchronized
  • data warehouse / archive created and populated with data from available sources
  • delivery
  • start using your data platform
  • start monitoring data loads
  • start issue management
  • start connecting other sources
  • start creating custom data sets
  • start creating custom dashboards