According to Gartner’s Top Priorities for Customer Service Leaders -2024 – Three priority areas are Self Service, Gen AI, and Customer Journey Analytics. When delved into the primary concern, it became apparent that many customers abandon product or service issues rather than seek agent assistance if online solutions are unavailable. Additionally, a notable proportion of Millennials and Gen Z adhere to a “self-service or no service” mindset.

Managed File Transfer (MFT) stands as a cornerstone in the secure and efficient exchange of data across organizations, modernizing traditional methods and ensuring compliance with global data protection standards. Here are the five key takeaways from our What is MFT article.

Business process management solutions often tout their analysis and optimization capabilities, but few provide the full set of tools needed to build a process, measure its performance, and identify and implement improvements. And when you’re looking for information on how to optimize a process, it’s easy to quickly get lost in the information-overload about the best methodologies and tools. That’s likely because the answer to process improvement isn’t straightforward.

In this blog series, I am exploring the “sliding doors”, or divergent paths, for creating value with data across different use cases, practices, and strategies. In this post, I want to discuss how to generate value with Data Products. As I reviewed in my last blog, grabbing the door to the better path for managing your data isn’t just about solving your particular use case: it’s ultimately about delivering value for your business.

Considering BigQuery vs. Redshift for your data warehousing needs? This guide is for you. Both BigQuery and Redshift stand as leading cloud data warehouse solutions each offering a multitude of features catering to multiple use cases. Google’s BigQuery offers seamless scalability and performance within its cloud platform, while Amazon’s Redshift provides great parallel processing and tuning options.

Javascript Object Notation (JSON) is becoming the standard log format, with most modern applications and services taking advantage of its flexibility for their logging needs. However, the great flexibility for developers quickly turns into complexity for the DevOps and Data Engineers responsible for ingesting and processing the logs. That’s why we developed JSON FLEX: a scalable analytics solution for complex, nested JSON data.

According to a study by Statista, the cloud storage market was valued at $90.17 billion in 2022 and will reach a value of $472.47 billion by 2030. These figures indicate a growing shift toward cloud computing and data storage solutions. A typical scenario in modern data management involves data transfer from cloud storage to cloud-based computing platforms. Amazon’s Simple Storage Service (S3) is among the go-to options for the former, and businesses trust Snowflake for the latter.

Last year was significant for us, so let's reflect briefly. As one of the key milestones, we released Xray Enterprise - a comprehensive solution for test management challenges, blending powerful features with user-friendly functionality. It is especially beneficial for larger companies with high scale and complexity of the development operations. Here are other noteworthy numbers/metrics.

Underperforming AI programs/models built using low-quality or inaccurate data cost companies up to 6% of annual revenue on average.

Cloud Functions will revolutionize your data pipeline.