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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.

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.

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.

Building a sales dashboard, but don’t know which KPIs to include? 60+ sales pros share which metrics they track and their favorite sales dashboard types.

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Here are five reasons why you should use Integrate.io for Ecommerce data warehouse integration: Typically, Ecommerce data warehouse integration involves several complex steps that even the most advanced data engineer would struggle to execute. You need to build big data pipelines, cleanse data, make sure that data complies with data governance frameworks, and ensure data doesn't get degraded during the process. It's a challenge!

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.