منوعات

In the era of digital transformation, organizations are constantly evolving—upgrading systems, consolidating databases, and moving to the cloud. At the core of these initiatives lies a critical challenge: data migration . Without proper strategy and execution, data migration can lead to data loss, downtime, or costly errors. That’s where PiLog delivers value. What Is Data Migration? Data migration is the process of transferring data between storage types, formats, or systems. It typically happens during system upgrades, ERP implementations, mergers and acquisitions, or cloud adoption. Although it sounds straightforward, data migration is a high-stakes operation that demands accuracy, security, and minimal disruption to business operations. Why PiLog for Data Migration? At PiLog, we recognize that migrating data isn't just about "moving" information—it's about transforming it into a clean, structured, and usable form that enhances business decision-making. Our metho...

  In today's data-centric business environment, ensuring the accuracy, consistency, and reliability of data is paramount. An effective Data Quality Management (DQM) solution not only enhances decision-making but also drives operational efficiency and compliance. PiLog Group emphasizes a structured approach to DQM, focusing on automation, standardization, and integration to maintain high-quality data across the enterprise. Key Features to Consider in a DQM Solution Automated Data Profiling and Cleansing Efficient DQM tools should offer automated profiling to assess data completeness and consistency. PiLog's solutions utilize Auto Structured Algorithms (ASA) to standardize and cleanse unstructured data, ensuring data integrity across systems. Standardization and Enrichment Implementing standardized data formats and enriching datasets with relevant information enhances usability. PiLog provides preconfigured templates and ISO 8000-compliant records to facilitate this process. In...

https://youtu.be/gTTL8DIeJ9k?si=TqvWOZYmipf3DOHY This video challenges the traditional "Cybersecurity First" mindset by revealing a critical gap: the lack of focus on protecting the data itself . While most cybersecurity strategies are designed to secure networks, endpoints, and applications, they often fail to safeguard the actual data assets —the real target of cyberattacks. The video introduces the concept of data-centric security , where security measures are embedded directly into the data, making it persistently protected no matter where it travels or how it is used. This modern approach complements zero-trust frameworks and helps organizations build a more resilient and future-ready data protection strategy #Data-Centric Security #Zero Trust #Cybersecurity Gaps #Data Protection Strategy #Persistent Data Security

Lean Data Governance – Pailog’s Vision for Smart Data Management In the age of big data and rapid digital transformation, data governance has become essential for any organization that aims to make accurate decisions and improve performance. However, traditional data governance frameworks are often too complex and slow down business processes. That’s why Pailog offers a modern and innovative approach: Lean Data Governance . What is Lean Data Governance? Lean Data Governance is a simplified, agile method for managing data and ensuring its quality without creating unnecessary bureaucracy. It focuses only on what is essential and is driven by business needs, enabling teams to work faster and make better decisions based on trusted data. Why Pailog Chooses Lean Governance At Pailog, we understand that organizations need to move quickly—especially in today’s competitive environments. That’s why we focus on: Flexibility : Governance systems that can adapt to changing business needs. Efficien...