Improving Data Quality and Integrity

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Improving data quality and integrity Valmet partners with KAITO Insight to use Matillion ETL For Snowflake to consolidate data from multiple systems on a Snowflake cloud data platform.

CUSTOMER CASE STUDY

Company: Valmet Product: Matillion ETL For Snowflake Location: Espoo, Finland Use Case: Data warehouse modernization Industry: Pulp, paper, and energy Website: www.valmet.com Employees: 13,000+

a limited set of use cases. It chose Matillion About Valmet The Results Valmet is a leading developer and supplier of ETL for Snowflake because Valmet users technologies, automation, and services for the found that the Matillion solution is easier to Data completeness improved. Data pulp, paper, and energy industries. It provides use, implement, scale, and maintain. Valmet transformation operations fail less often everything from maintenance outsourcing collaborated with KAITO Insight Oy, a Matillion and the number of empty fields within a to mill and plant improvements and spare partner, to plan and implement the Matillion data set decreased. parts. Headquartered in Finland, Valmet has solution. Over a period of two months, three operations in more than 30 countries. consultants from KAITO helped the company migrate ETL jobs from Valmet’s previous Time to value decreased. Employees can ETL solution. The implementation went very The Challenge gain insights from data sets faster than smoothly, without any major hurdles. Valmet is previously, largely because data quality Find an ETL tool for Snowflake using Matillion ETL for Snowflake to load data has improved. Valmet is an established market leader in its from its ERP system, its IoT systems in its mills, industry, enjoying a strong market position and other production systems. Due to ease of use, jobs that used to in all of its lines of business, which include require several specialized developers services, pulp and energy, paper, and The Benefits now only require one person. automation of mill operations. The business A robust set of features wanted to improve the trustworthiness of Data integrity improved. There are fewer its data flows. Its existing data infrastructure Valmet has found that Matillion ETL for orphaned records, fewer duplicate was difficult to manage and maintain, which Snowflake provides numerous useful features. records, and fewer data errors in the resulted in inefficiencies, along with confusion Specifically, the new solution: cloud data warehouse after using regarding roles and responsibilities in the Provides scalability and flexibility to support • Matillion ETL for Snowflake. company’s DevOps and DataOps processes. changing business requirements. Valmet decided to consolidate its data using Includes a robust set of monitoring features. the Snowflake cloud data platform and it • Data transformation costs decreased, needed to find an ETL solution to support its • Provides integration support for GIT, which is and the cost per byte of data data integration efforts. important for Valmet’s users. transferred decreased. • Makes it easy for staff to begin using the The Solution Matillion solution quickly and work more An ETL solution that’s easy to implement efficiently. Valmet tested two potential solutions, AWS • Includes the transformation job components Glue and Matillion ETL for Snowflake, using and features needed at Valmet.

“Matillion was so easy to About Matillion Matillion is data transformation for cloud data warehouses. Only Matillion is implement and use. And the purpose built for Amazon Redshift, Google BigQuery, Azure Synapse Analytics, partner KAITO Insight provided and Snowflake, enabling businesses to achieve new levels of simplicity, speed, really strong support during the scale, and savings. Learn more about how you can unlock the potential of your data with Matillion’s cloud-based approach to data transformation. planning and implementation Visit us at www.matillion.com phases of the project.

Antti Sirkka, Data Architect