Embedded analytics 2.0: Your secret weapon to empowering frontline workers and locking in customers loyalty

Last year, Harvard Business Review and ThoughtSpot published a groundbreaking survey on the business benefits of empowering frontline workers with data. Revenues are higher, operations more efficient, customer service better, and employees happier. And yet, few organizations deploy BI this way, historically held back by the technology, conflicting priorities, and mindset.

Introducing Continual - the missing AI layer for the modern data stack

I’m extremely excited to introduce Continual. Continual is the easiest way to maintain predictions – from customer churn to inventory forecasts – directly in your cloud data warehouse. It’s built for modern data teams that want to leverage machine learning to drive revenue, streamline operations, and power innovative products and services without complex engineering.

What Does Customer 360 Mean?

Collecting and analyzing data on your customers’ preferences and behavior is one of the best ways to improve your products and customer service. As your business grows, you need enterprise-class customer relationship management (CRM) software that can store and manage all of your customer data. Salesforce is a software as a service (SaaS) company that provides the Salesforce CRM software to more than 100,000 organizations worldwide.

PII Substitution May Be the Future of Data Privacy

Unfortunately, most of us have had our sensitive data or personal information compromised at one point or another. Whether the leaked data involves credit cards, a bank account number, a social security number, or an email address, nearly everyone has been a victim of a third-party data breach. In 2020, over 155 million people in the U.S. — nearly half the country's population — experienced unauthorized data exposure.

Modernizing Data Pipelines using Cloudera Data Platform - Part 1

Data pipelines are in high demand in today’s data-driven organizations. As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable. To keep up, data pipelines are being vigorously reshaped with modern tools and techniques.

Apache Ozone Metadata Explained

Apache Ozone is a distributed object store built on top of Hadoop Distributed Data Store service. It can manage billions of small and large files that are difficult to handle by other distributed file systems. As an important part of achieving better scalability, Ozone separates the metadata management among different services: Ozone Manager (OM) service manages the metadata of the namespace such as volume, bucket and keys.