Our Story

Leaders in Open-Source Analytics

Our Founding

Founded in 2015, by renowned Data Scientist Ian J. Ghent, WiseWithData’s mission is to Ignite Open Analytics. Ian, with over 25 years of industry experience, had based his career on using the leading enterprise analytics language at the time, SAS. Before founding WiseWithData, Ian worked at SAS, leading the global roll-out of cutting edge industry solutions he invented.

In discussions with global customers, it was apparent that many were no longer satisfied with their decades old proprietary technology platforms. They saw peers leveraging open data platforms with astonishing results. Increasingly, they yearned for more freedom, performance and functionality. Having been a fan of open source software since the 1990’s, Ian saw a tsunami of change was upon the whole industry, not unlike what had happened with Linux. The shift to Linux sparked entirely new technologies and industries like virtualization, containers and Cloud computing. That shift for analytics would forever democratize the field, to the benefit of all humanity.

Ian and his colleagues saw the awesome potential behind one open source technology in particular, Apache Spark and PySpark, its Python interface. With data processing performance 100X+ that of anything else in the market, along with simple powerful API’s, they knew PySpark was the future for collaborating and innovating with data, big or small. Being experts in legacy analytics technology, WiseWithData set off on an ambitions journey to become world leading experts in PySpark.

8 years later, WiseWithData is recognized by its customers and partners as masters of PySpark. Meanwhile, Spark has become the undisputed de-facto analytics platform, with support from all leading technology players (Databricks, Amazon, Microsoft, Google, etc.).

Our Mission

WiseWithData’s mission is simple, help companies embrace Apache Spark, and support them through the transition from legacy analytics. To that end, they developed the SPROCKET SAS to PySpark migration solution. SPROCKET is the World’s only proven solution to convert SAS code to native PySpark DataFrame code with over 99% automation. This unique offering is the key for customers to succeed in modernizing their analytics technology.

We Are The Experts in SAS, Databricks & PySpark

WiseWithData consults and advises clients on world-leading open-source options to achieve efficient digital transformation.

We innovate with open source technologies everyday helping clients get the most out of their data.

Our versatile team of data scientists work with these values top in mind:

  • Strive for creative excellence, and deliver automated solutions that are simple & easy to deploy
  • Deliver & show value early, then scale to complete and achieve objectives
  • Act with respect, integrity, and commitment while maintaining a focus on environmental sustainability

 A Rich History
Of Innovation & Automation

WiseWithData Established By Leading SAS Experts – Its mission, to Ignite Open Analytics & help customers transition to the leading Python PySpark platform

2015

2016

SPROCKET v1.0 – The World’s First and Only SAS To Python PySpark Migration Solution goes live

First large scale migration using SPROCKET Automation a success

2017

2018

R

WiseWithData Focuses Strategic Direction On Market Leading SPROCKET Migration Solution

WiseWithData Releases SPROCKET Validator, making the UAT process quick and easy

First Government & Financial Institution Migrations Successfully Completed

SPROCKET Searchparty is Released, bringing automation to migration project scoping

2019

2020

SPROCKET Runtime 3.0 brings support for Delta & Databricks

Migrated over 500,000 lines of SAS code for TransUnion, in months, saving millions in fees & lost productivity

WiseWithData releases RIPL API as part of SPROCKET Runtime 3.1, bringing more SAS capabilities into Pyspark

WiseWithData and Databricks announce strategic partnership to modernize legacy SAS workloads

2021

2022

Fireball synthetic data generation tool goes live, streamlining migration process

SPROCKET VDesk solution goes live, enabling secure migrations without code ever leaving customer premise

TransUnion asks WiseWithData to share the story of their successful SAS and cloud modernization initiatives in Interface magazine

SPROCKET SearchParty incorporates Automated Schema Harvesting (ASH) technology fully automated test data generation workflow

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2023

2024

SPROCKET Runtime 3.5 Expands support to all major cloud platforms

WiseWithData simplifies data migration with SPROCKET Freewheel

 A Rich History
Of Innovation & Automation

2015

WiseWithData Established By Leading SAS Experts

Its mission, to Ignite Open Analytics & help customers transition to the leading Python PySpark platform

2016

SPROCKET v1.0 – The World’s First and Only SAS To Python PySpark Migration Solution goes live

2017

First large scale migration using SPROCKET Automation a success

2018

R

WiseWithData Focuses Strategic Direction On Market Leading SPROCKET Migration Solution

WiseWithData Releases SPROCKET Validator, making the UAT process quick and easy

2019

First Government & Financial Institution Migrations Successfully Completed

SPROCKET Searchparty is Released, bringing automation to migration project scoping

2020

SPROCKET Runtime 3.0 brings support for Delta and Databricks

Migrated over 500,000 lines of SAS code for TransUnion, in months, saving millions in fees & lost productivity

2021

WiseWithData releases RIPL API as part of SPROCKET Runtime 3.1, bringing more SAS capabilities into Pyspark

WiseWithData and Databricks announce strategic partnership to modernize legacy SAS workloads

2022

Fireball synthetic data generation tool goes live, streamlining migration process

SPROCKET VDesk solution goes live, enabling secure migrations without code ever leaving customer premise

2023

|

TransUnion asks WiseWithData to participate in sharing the story of their successful SAS and cloud modernization initiatives in Interface magazine

SPROCKET SearchParty incorporates Automated Schema Harvesting (ASH) technology to fully automated test data generation workflow

2024

|

SPROCKET Runtime 3.5 Expands support to all major cloud platforms.

WiseWithData simplifies data migration with SPROCKET Freewheel