Remove Data Transformation Remove Interactive Remove Metrics Remove Operational Reporting
article thumbnail

How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

article thumbnail

Three Ways to Tell Your Story With Power BI and CXO

Jet Global

However, leveraging these insights can be challenging if your reports and data don’t speak to each other. Disconnected enterprise performance management (EPM) operational reporting can present significant limitations and challenges for your business. Transforming Financial Reporting with Dynamic Dashboards Download Now 1.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Partners in Innovation: Voice of the Customer Enhancements to Logi Symphony

Jet Global

View mode must respect interactivity, responsive layout and limit operations with dashboard. New Interactive Legends for all Visuals simplifies report navigation for non-technical users. Context Menu for Non-Grouped Data provides further self-service user empowerment with our new context menu for ungrouped data.

article thumbnail

What Is Embedded Analytics?

Jet Global

that gathers data from many sources. As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. It’s all about context. BI is a set of independent systems (technologies, processes, people, etc.)

article thumbnail

What is a Data Pipeline?

Jet Global

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.