It’s that time of year again. Conference season is upon us! And, for the first time in what feels like a lifetime, the data ecosystem is getting back together in person. It couldn’t come at a more important time. The decade of data is upon us, as we unveiled at our own customer conference Beyond 2022. The opportunity is greater than ever before. So, too, is the need to change.

Armed with a Ph.D. from UC San Diego, our guest started off with internships at Google and Microsoft before gaining valuable experience as a VP and a highly sought-after consultant for startups and SMBs. Now he’s one of the world’s foremost experts on wrangling vast data sets and maximizing efficiency.

Harri is a leading workforce management platform transforming the employee experience. The technology platform is purpose-built for the hospitality industry. With solution modules that span the entire employee lifecycle, Harri helps source, retain and engage the talented people who deliver the customer experience. Harri is about to launch their exciting new data product - Harri IQ. It will allow users to deep dive into the data with automated live boards and sophisticated search capabilities.

Practitioners of data analytics for Ecommerce businesses often focus on its impact on B2C (business-to-consumer) companies. By collecting customer data, for example, B2C companies can improve the customer experience, increase their conversion rates, launch smarter marketing campaigns, attract and retain new customers, and a variety of other benefits. However, B2B (business-to-business) Ecommerce companies can see just as many advantages from smart use of their Ecommerce data for analytics.

Another year, another wave of positive user-led ratings and responses for Yellowfin. It's been a tough few years due to the global pandemic, with much uncertainty across many organizations and industries. But this period has also seen businesses seize more opportunities, and adopt solutions that help them respond faster to customer demands - some with better business intelligence (BI) and analytics solutions, as one example.

In the second blog of the Universal Data Distribution blog series, we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection. A key requirement for these use cases is the ability to not only actively pull data from source systems but to receive data that is being pushed from various sources to the central distribution service.

COVID-19 introduced an unprecedented level of volatility in world markets, and the shockwaves that arrived in its wake exposed a wide chasm between two main types of multinational organizations: Those with agile internal processes and those without. In a world built on complex and globalized supply chains, COVID-19 tested that internal agility, sometimes to breaking point.

Never before has data become so prevalent in everything we do. Sorting out the best way to make sense of incoming terabytes of data has turned into an extreme sport. Likewise, it has become a life-or-death decision in every organization, regardless of their level of maturity, to determine an analytics strategy to harness the potential power of all that data without running the risk of overwhelming teams and paralyzing processes.