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.

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!

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.

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.

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations.