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Best Practices and Business Benefits of DevOps Transformation

Every enterprise in today’s competitive environment is undergoing digital transformation. Businesses are attempting to improve their present IT infrastructure and techniques while welcoming new technologies and software development approaches to stay ahead of the competition. Enterprises’ ability to achieve all of this is highly dependent on their willingness to implement best practices for a successful DevOps transformation.

Anodot Named by Forrester in Future of Business Intelligence Report

It’s hard to believe enterprise BI platforms have been around for three decades. In that time, they have served the purpose of collecting and analyzing large amounts of data to help businesses make more informed decisions. But in today’s data-driven economy, analysts struggle to keep up with the myriad of business intelligence reports from traditional BI tools – which fail to effectively and efficiently analyze and interpret data in real-time.

2022 Data Delivery and Consumption Patterns Survey: Highlights and Key Findings

As big data continues to grow exponentially, enterprises are discovering that legacy data environments (e.g. data warehouse or data mart) were never designed to efficiently process and extract insights from the vast volumes of data they generate today. In turn, enterprises are shifting investments away from legacy data environments and searching for future-proof alternatives (e.g., data lakes, data lakehouse, data fabric, or data mesh) to support data-driven, new-generation initiatives.

Announcing Sisu's metric grain feature: Delivering faster, more accurate insights with ML

Organizations of every size have seen a massive increase in demand for faster, more comprehensive answers to vital business questions. Unfortunately, data’s increasing volume and dimensionality makes it difficult and time-consuming to analyze using business intelligence tools alone, often leaving rich and valuable data underutilized.