Systems | Development | Analytics | API | Testing

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.

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.

The digitalization of tax and operational transfer pricing processes can have a huge impact on a multinational company’s ability to efficiently forecast and report its tax liability.

BigQuery BI Engine is a fast, in-memory analysis service that lets users analyze data stored in BigQuery with rapid response times and with high concurrency to accelerate certain BigQuery SQL queries. BI Engine caches data instead of query results, allowing different queries over the same data to be accelerated as you look at different aspects of the data.

Fast and clean. These two words define the ideal financial close process. This standard is held up as a measure of a finance or accounting department’s effectiveness. Companies are expected to get the financial close process done within a standard business week. This demonstrates competence, resource efficiency, and good management. An efficient financial consolidation and close process does two vital things.