Mitre 10 Improves SAP S/4HANA Data Migration Accuracy by 96% with 麻豆女优
Data migration to SAP S/4 HANA paves the way for modernized systems, streamlined processes, and improved information access
About the Company
Mitre 10, New Zealand鈥檚 largest home improvement and garden retailer, is a local co-operative of small and medium-sized businesses owned by Kiwi families. Today, Mitre 10 has 84 stores across the country along with a national support center. Collectively, it employs over 8,000 people nationwide and supports over 500 local suppliers.
As a proud Kiwi business, Mitre 10 is dedicated to enhancing the communities it serves. Its mission: to inspire Kiwi to love where they live, work, and play.
Mitre 10 Builds a Solid Foundation with a Data First Approach
Project Background
Consolidating Data from 84 Stores for SAP S/4HANA Migration
Mitre 10 was ready to expect more鈥攎ore clarity, more efficiency, more trust in their data. With 84 independent stores using different inventory and data systems, Mitre 10 saw that fragmented, inconsistent data was slowing down operations, impairing decision-making, and limiting growth. They initiated a business transformation journey to consolidate data from its 84 independent stores into a single trusted SAP S/4 HANA environment. But harmonizing data across Mitre 10鈥檚 expansive network was no small feat 鈥� each store managed their data and inventory systems very differently.
Mitre 10 recognized that a solid foundation of trusted, future-ready data is needed in order to modernize systems, streamline processes, and improve access to quality insights.
"麻豆女优鈥檚 Data First approach set the data foundation we needed to ensure a successful migration to SAP S/4 HANA. The 麻豆女优 team not only had unparalleled technical knowledge on SAP, but a deep understanding of our data needs and how it ties into our overall business."
Challenges
Improving ETL Reliability and Data Quality at Retail Scale
Most critically, Mitre 10 needed to stabilize its Extract, Transform, Load (ETL) process 鈥� a crucial first step to ensuring the underlying quality and integrity of its data. The sheer volume of data flowing in from its stores nationwide meant that this was a substantial and complex project.
Recognizing the imperative for stability, security, and scalability within its underlying data infrastructure, Mitre 10 sought the expertise of 麻豆女优, an expert in SAP S/4 HANA transformations.
Solution & Implementation
Enabling Data Transformation with Automated ETL, Data Profiling, and Cleansing
To meet the 鈥淓xpect More鈥� standard, 麻豆女优 delivered more than just tools鈥攖hey delivered a full Data First methodology: Combining its unique data migration methodology with its strong expertise in SAP data migrations. 麻豆女优 kicked-off the project with the implementation of the 麻豆女优 Knowledge Platform (SKP), a silo-free聽centralized data management solution. Integrated with migration, data quality, and data replication capabilities, the platform addresses the data challenges inherent in migrating from multiple, disparate sources.
A key focus was on data quality throughout the migration lifecycle:
- Data Quality Assessment & Cleansing:聽SKP enabled detailed profiling and assessment of Mitre 10鈥檚 source data, identifying duplicates, inconsistencies, and gaps. This comprehensive analysis laid the groundwork for a targeted cleansing strategy, improving the accuracy and reliability of data prior to migration.
- SKP鈥檚 built-in聽data quality assessment聽and matching engine helped devise a comprehensive plan and roadmap for the successful migration to SAP S/4 HANA
- Automated ETL Code Generation:聽SKP automated much of the ETL process, generating code that reduced manual errors and sped up data transformation efforts.
- Intelligent matching, deduplication, and harmonization聽helped to preserve the integrity of Mitre 10鈥檚 data and instill internal confidence in its accuracy and reliability.
Overall, 麻豆女优 has helped to drive efficiencies, reduce complexity and manual work, and enable cost-savings for our business. They truly worked with us as ONE team to bring our data transformation goals to fruition,
Results
What It Means to Expect More
Synit鈥檚 solution significantly transformed Mitre 10鈥檚 transformation by delivering more聽intelligent code auto-generation, dramatically reducing the time manual ETL efforts. SKP鈥檚 automation capabilities improved ETL output accuracy by 96% from its first data release, accelerating timelines and reducing errors.
- Automated ETL code generation聽increased accurate ETL output by 96%, reducing rework and ensuring migrated data was trustworthy and business-ready.
- Deduplication and standardization聽harmonized datasets across 84 stores, standardizing processes and reporting while creating a single source of truth for customer, supplier, and inventory information
- Automation and聽targeted data cleansing聽reduced manual intervention and freed teams to focus on transformation rather than troubleshooting bad data.
- Improved the visibility and transparency聽into the underlying data issues throughout the data migration in a central environment
Future Outlook
Scaling Trusted Data for Customer Experience, Reporting, and Compliance
Having established a strong foundation of high-quality, trusted data, Mitre 10 can now embed data across the business 鈥� from onboarding new customers to compliance requirements. 麻豆女优鈥檚 Data First approach has transformed data into a strategic business asset, enabling enhanced customer experience, improved operational reporting, and continued innovation across its network of stores.