4 Simple Steps for Migrating to
Mode with zero coding


Create connections
between data
sources and Mode


Prepare a source to the Mode pipeline by selecting tables in bulk


Assemble a workflow and schedule it to start the Mode migration process

Share your data
with third-party platforms
over API Hub

Integrate data from ERP, CRM, legacy databases, and other 300+ sources
Hear how Lyftrondata helped accelerate the data
journey of MOL Group
reporting
onboarded
reduction
sales
Lyftrondata enables instant analytics on WNI weather data that helped us streamline shipping lines.

Koichi Tsuji
Consulting Partner at MOL Group

FAQs
What is Mode?
Mode Integration Analytics is a data science platform with some business intelligence capabilities designed for large enterprise companies. Mode is a cloud-based web service that runs on top of Amazon Web Services.
What are the features of Mode?
What are the shortcomings of Mode?
No repeats in a data set: Mode Drivers software is not defined when there are no repeats in a data set.
Not based on all values: Mode Connectors tool is not based on all values.
Unstable: Mode Integration Analytics is unstable when the data consist of a small number of values.
Data has one mode: Sometimes the data has one mode, more than one mode, or no mode at all with Mode ETL.
Start modernizing your Mode journey today
