Contract Manufacturer Moves To The Data Cloud
SUMMARY
Pandata Group directed the implementation of a unified and integrated cloud delivered data platform for a major Wisconsin-based manufacturing company. The solution brought together formerly disparate data stores and enabled a common analytic platform for all enterprise data sources.
THE CUSTOMER
The client is a publicly traded metal fabrication and manufacturing operation serving the heavy and medium duty commercial, construction and recreational vehicle industry. The company is publicly traded and has been rapidly expanding through M&A activity.
THE CHALLENGE
Because of its recent rapid growth and diversified acquisition, the client was reluctant to invest in a single ERP system to manage its multiple subsidiaries. Purchasing information was siloed in disparate systems that required an extensive, inefficient manual process and led to management questioning the data presented to them.
THE SOLUTION
Pandata Group implemented a modern data cloud platform of data storage and integration. This platform consists of a suite of cloud-hosted products: Matillion for data integration and transformation, and Snowflake for data warehousing and querying. The business was then able to use a variety of self-service tools for unified data analysis. The implementation processes consisted of four phases: planning, building, managing and scaling. After doing a full data landscape assessment, an initial use case was identified. An integrated foundation of data modeling, sourcing, loading and storing was then built out and tested against the use case. Finally, staff training and change enablement were introduced to maximize the “return on data” and help foster a data-driven culture.
BUSINESS VALUE
The value created from the client’s data cloud implementation was fourfold:
- Increased operational efficiency by enabling a 360-degree view of all interrelated purchasing and inventory data.
- Cost savings by mitigating a centralized ERP investment and capturing unified enterprise data “downstream”.
- Improved data quality by eliminating redundancy and enforcing a “single version” of data definitions and usage.
- Emphasis on data literacy among stakeholders and across business units
Pandata Cares.
C
Change
A business big enough that it could be listed on the NASDAQ goes belly up. It ceases to exist without me.
A
Act As One
No, you clearly don't know who you're talking to, so let me clue you in.
R
Relationships
I am not in danger, Skyler. I AM the danger!
E
Equity and Inclusion
A guy opens his door and gets shot and you think that of me? No. I am the one who knocks!
S
Safety
Walter White thinks his life can't get much worse.
