We are advocates of knowledge sharing – so we encourage our talented engineers and designers to share their experiences and insights with the world.
By Joshua Wick
Mid-sized banks face a unique challenge in how to improve their Information and Communication Technology (ICT) risk management programs to meet the Digital Operational Resilience Act (DORA) requirements for resiliency against evolving digital threats.
Read
Published on: March 24, 2025
By Sobhan Hota
Faced with growing data demands, a leading organization re-architected its financial operations by upgrading from Pentaho CE to EE on AWS, ensuring scalability, security, and compliance.
Published on: March 19, 2025
By Pentaho
Swisscom's Business Customers division searched for a unified platform for data integration and validation to achieve a 360-degree view of its operations. Pentaho Data Integration (PDI) was chosen for its comprehensive feature set, ease of use, and cost-effectiveness.
Published on: March 18, 2025
By Kunju Kashalikar
Yes, AI Was the Theme. But Underneath, It’s Clear We’re in A New Era of Data Management.
Published on: March 13, 2025
For organizations that rely on data-driven decision-making, the ability to scale analytics efficiently, manage governance, and optimize data integration pipelines is mission-critical. Yet many enterprises still operate on aging architectures, limiting their ability to process, transform, and analyze data at scale.
Published on: March 5, 2025
By Duane Rocke
As organizations increasingly adopt multi-cloud architectures, they face growing challenges in managing data pipelines, enforcing governance, and maintaining performance across hybrid environments.
Published on: March 3, 2025
While data is the engine that drives the financial services industry, governance, security, and performance dictate how effectively organizations can leverage it. Financial institutions handle sensitive transactions, regulatory reporting, and large-scale data analytics, requiring data pipelines that are secure, scalable, and operationally resilient.
Published on: February 24, 2025
Data quality is a crucial aspect of any organization’s operations, and its impact is growing as artificial intelligence (AI) and machine learning (ML) continue to evolve. However, determining what qualifies as "good enough" data can be a challenge.
Published on: February 17, 2025
Data Quality Series Part 2: Ensuring data quality is about finding the right balance—over-cleaning can remove valuable insights, while evolving data demands flexibility. This blog post explores how businesses can define quality thresholds, manage costs, and leverage AI-driven automation to maintain consistency and usability.
Published on: February 10, 2025
Categories (All)
Industries (All)