Read more about author David Mariani. Cloud giants like Google and Snowflake, unicorns like dbt Labs, and a host of venture-backed startups are now talking about a critical new layer in the data and analytics stack. Some call it a “metrics layer,” or a “metrics hub” or “headless BI,” but most call it a “semantic layer.” I prefer to call it a “semantic layer” because it best describes a business-friendly interface to data that serves a variety of use cases and user…

Read more about author JG Heithcock. Cyber resilience is a top concern for businesses in every industry. A key reason for this is that businesses of all sizes continue to face an ever-increasing array of cyber threats including ransomware, malware, and spear phishing.  Ransomware is a particularly pernicious problem and a huge threat to organizations worldwide. According to Cybercrime Magazine, the collective cost globally of damage done by ransomware was approximately $20…

Read more about author Angsuman Dutta. A data lake becomes a data swamp in the absence of comprehensive data quality validation and does not offer a clear link to value creation. Organizations are rapidly adopting the cloud data lake as the data lake of choice, and the need for validating data in real time has become critical. Accurate, consistent, and reliable data fuels algorithms, operational processes, and effective decision-making. Existing…

Read more about Jaimie Kowalski. The supply chain business is evolving incredibly rapidly – particularly when it comes to how it uses technology. And with this in mind, earlier this year, we commissioned an in-depth report on how the pandemic impacted the freight procurement industry, by speaking with hundreds of shippers with $100 million-plus in annual freight spend. Almost all respondents, 97% or greater, said they plan to increase their…