4 Simple Steps for Migrating to
Exploratory with zero coding

Create connections
between data
sources and Exploratory

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

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

Share your data
with third-party platforms
over API Hub

Exploratory
  • Simple and Intuitive

    Simple and Intuitive

    Switch to Exploratory like a boss.

  • high-performance

    High Performance

    Enjoy Exploratory high performance with codeless data environment.

  • high-performance

    Prebuilt Transformation

    Say goodbye to tedious manual tasks with prebuilt transformation templates

  • Simple and Intuitive

    Monitoring Data

    Monitor your Exploratory data frequently.

Hear how Lyftrondata helped accelerate the data
journey of MOL Group

100X
Faster
reporting
98%
New applications
onboarded
$550K
Spend
reduction
70%
Accelerated
sales

Lyftrondata enables instant analytics on WNI weather data that helped us streamline shipping lines.

Koichi Tsuji

Consulting Partner at MOL Group

FAQs

Exploratory Integration data analysis is a data analytics procedure used to fully comprehend the data and discover its various characteristics, frequently using visual methods. By doing this, you can better understand your data and discover insightful patterns in it.

Unstructured and flexible: Exploratory Integration offers unstructured data and flexibility management.
Tentative results: Exploratory ETL
Guide for future research: Exploratory Connectors tool enables you to use a guide for future research.
Qualitative and unrestricted: Exploratory Drivers tool offers Qualitative and unrestricted services.

Can be challenging as a first-time tester: Exploratory Drivers tool can be challenging for a first-time tester.

Repeating the issue/bug can be difficult: Exploratory Connectors tool has issues/bugs which can be difficult.

Time-consuming: Exploratory ETL is quite a time taking process.

Start modernizing your Exploratory journey today