Nihilent

Transforming a Global Manufacturing Group with Modern Data Platforms and Advanced Analytics

Explore how Nihilent has partnered with a global manufacturer of pipe and fitting systems and its group companies since 2020 to modernize legacy operations, build regional and global data platforms, deliver advanced analytics at scale, and provide continuous support across India, Australia and New Zealand, and the wider group.

Service

Legacy Modernization / Data Platforms / Advanced Analytics / Managed Support

Vertical

Manufacturing / Pipe & Fitting Systems

Region

Global / India / Australia & New Zealand / Europe / North America

Tech Stack

Snowflake Data Cloud, Snowpipe, Snowpark, AWS (S3, Glue, Lake Formation, SageMaker), SAP EWM, SAP BTP, SAP S/4HANA Integration, Salesforce, Qlik, Tableau, Power BI, Atlan

Transforming a Global Manufacturing Group with Modern Data Platforms and Advanced Analytics

Client Overview

The client is a global manufacturer of pipe and fitting systems, operating as a federation of regional businesses across Europe, the Americas, Asia Pacific, and the Middle East. Its portfolio spans several group companies, including a leading manufacturer of cPVC and uPVC pipes with a vision to double its revenue. Nihilent works with the group’s global businesses, growing a single data platform engagement into a multiyear transformation partnership. 

Business Challenges

Independent regional businesses, disconnected systems, and manual processes limited the group's ability to see, trust, and act on its data.

01

Legacy Warehouse Operations

Inventory in warehouses and in transit was managed by a third party vendor, limiting real time visibility and control.

02

Disconnected Enterprise Systems

Data sat across 10+ SAP and non SAP systems, with no unified view of primary, secondary, and tertiary sales.

03

Regional Units Operating Independently

Different ERP and operational platforms across regions led to inconsistent reporting and limited enterprise visibility.

04

Manual Group Consolidation

Group P&L and KPIs depended on manual consolidation, file transfers, and extracts from each region.

05

Untapped Distribution Insight

Data on distributors, dealers, plumbers, and sales teams was not yet used to forecast demand, set prices, or reduce churn.

06

Governance Without Losing Ownership

The group needed trusted, governed data globally while each region kept control of its own information.

How Nihilent Addressed This

Nihilent took a consulting led approach, starting with a data strategy and analytics roadmap, then delivering modernization, data platform, analytics, and support programs across the group.

Warehouse Modernization with SAP EWM

Replaced vendor managed inventory with SAP EWM across three depots, integrated with SAP MM/SD and barcode scanning

SAP BTP and ERP Integration

Implemented SAP BTP use cases and integrated SAP with the regional data lake in Australia and New Zealand

Cloud Data Platform for India

Unified 10+ enterprise systems on Snowflake, AWS Glue, S3, and Lake Formation, with Qlik for analytics

Federated Global Data Platform

Built a federated Snowflake platform across Europe, North America, Australia, and India, with Atlan governance and secure data sharing

Advanced Analytics as a Service

Delivered 10 data science use cases through Data Science as a Service (DSaaS), using Amazon SageMaker for machine learning and NLP

Continuous Support and Enhancement

Provided ongoing support, maintenance, and enhancement for data platforms, data lakes, data science use cases, and global Snowflake operations

Key Results & Outcomes

3

depots running on SAP EWM with real time inventory visibility

10+

enterprise systems unified on a single cloud data platform

4

regions sharing certified data on one federated Snowflake platform

Automated

group P&L and KPI consolidation, without manual rework

Continuous

support across data platforms in India, ANZ, and globally

Key Takeaways

What began in 2020 as a single data platform project has grown into a group wide transformation partnership. By modernizing legacy warehouse operations, building regional and federated data platforms, embedding advanced analytics into sales and distribution, and providing continuous support across regions, Nihilent has helped the client move from fragmented, manual reporting to trusted, shared insight. The result is a scalable foundation ready for future AI and machine learning initiatives.

Nihilent
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