Analytics

The 6 common data mistakes that could be holding your business back-and how to avoid them

Data is everywhere–driving the evolution of technology, changing the way we do business, transforming what it means to be a customer. Yet, too many businesses are still operating in a data-aware state and not truly adapting to a data-driven mentality. According to Deloitte Insights, just 1 in 10 executives believe that their employees can actually use data to make decisions.

The top 6 attributes of a data leader

We’re in the defining decade of data. Data underpins the technologies transforming how we work, communicate, socialize and buy. If you want to take part in the revolution, you need to become—or hire—a data leader. But what does that even mean? What sets data leaders apart from the average data-aware professional? And how can we become data leaders?

What Is Data Observability in a Data Pipeline?

The five things you need to know about data observability in a data pipeline are: Becoming a data-driven organization is a vital goal for businesses of all sizes and industries—but this is easier said than done. Too many companies fail to attain the fundamental principle of data observability: knowing the existence and status of all the enterprise data at their fingertips.

Distributed Feature Store Ingestion with Iguazio, Snowflake, and Spark

Enterprises who are actively increasing their AI maturity in a bid to achieve business transformations often find that with increased maturity comes increased complexity. For use cases that require very large datasets, the tech stacks required to meet business needs quickly become unwieldy.

What is DataOps Observability?

Data teams like yours face new challenges as they manage an increasing variety of data formats, expanding use cases, and as data volumes double every three years. Organizations increasingly depend on new data products to meet their financial objectives. Join SanjMo Advisory Services Co-Founder Sanjeev Mohan and Unravel Data Vice President of Solutions Engineering Chris Santiago to learn.

The Power & Importance Of Developing A Data Mesh Architecture.

More than ever, data platforms are becoming direct drivers of revenue. In this interview, host Ryan Green talks with Shane Murray, Field CTO at Monte Carlo, and Vishal Shah, Data Architect Manager at Pitney Bowes, about the importance of democratizing data, accountability, and fostering a self-service data mindset.