Business data is continuously growing in complexity and quantity. With so many variables, it’s impossible to scan every dashboard or report with a fine-eye, or track every trend. To get the most insights out of your dashboards and reporting today requires a two-prong approach of both manual analysis and automated analysis - the latter of which requires the integration and use of what is called augmented analytics.

Tax teams are taking on an increasingly strategic role within today’s businesses. However, given the rapid pace of change, many executives are still unaware of the untapped strategic potential within these teams. Watch Now: Tax reporting in a changing world Some organizational leaders may still view the tax department as a group of technicians – specialists responsible for tracking changes in the law, calculating tax liability, and filing the necessary paperwork.

Workforces across the world have changed rapidly over the past couple of years thanks, in large part, to two major trends. The first is the rapid digitization and transformation of service offerings during the pandemic. As our working lives shifted from office-based to online-based, the services that enable employees to do their jobs had to follow the same pattern. And with working practices predicted to remain a hybrid mix of office and remote-based, these changes are here to stay.

The benefits of embedded business intelligence (BI) solutions is well documented today: Richer context, deeper integration of data within operational application workflows, and better information on hand for data-driven decision-making. However, you need to find effective resources to uncover the true potential of embedded BI. It can make you a lot better at leveraging the solution. In this post, you will find 10 great resources for enhancing your knowledge and skill of embedded business intelligence.

We are excited to announce the general availability of Apache Iceberg in Cloudera Data Platform (CDP). Iceberg is a 100% open table format, developed through the Apache Software Foundation, and helps users avoid vendor lock-in. Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP)—including Cloudera Data Warehousing (CDW), Cloudera Data Engineering (CDE), and Cloudera Machine Learning (CML).

Exabeam, a leader in SIEM and XDR, provides security operations teams with end-to-end Threat Detection, Investigation, and Response (TDIR) by leveraging a combination of user and entity behavioral analytics (UEBA) and security orchestration, automation, and response (SOAR) to allow organizations to quickly resolve cybersecurity threats.

Going into Snowflake Summit 2022, I was excited to spend time with our customers and partners, and excited to be able to share some of the innovations we’ve been working on. And I was not disappointed! It felt great to experience the energy that only an in-person event can deliver. I relished talking to customers about how our products can help them meet and even surpass their business goals.

As the business world shifts towards an information economy, more companies are discovering the advantages of having a business intelligence (BI) solution for analytics. Embedded analytics software boosts an organization's main functionality by integrating BI tools and analytical capability directly into software applications, rather than as a separate third-party application.

In a previous blog of this series, Turning Streams Into Data Products, we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. We discussed how Cloudera Stream Processing (CSP) with Apache Kafka and Apache Flink could be used to process this data in real time and at scale. In this blog we will show a real example of how that is done, looking at how we can use CSP to perform real-time fraud detection.

Earlier in the quarter we had announced that BigQuery BI Engine support for all BI and custom applications was generally available. Today we are excited to announce the preview launch of Preferred Tables support in BigQuery BI Engine! BI Engine is an in-memory analysis service that helps customers get low latency performance for their queries across all BI tools that connect to BigQuery.