Analytics

Factory Edge to Cloud Analytics- Three Fundamental Steps to Success

We recently Googled the manufacturing use case “predictive maintenance” and was astonished by the results there were 82 MILLION results returned. Next, we Googled “process optimization” and it yielded even more results – 302 MILLION. Clearly, these use cases are top of mind in today’s manufacturing landscape, considering digital transformation will deliver $11 Trillion USD in economic value by 2025.

Fivetran's Approach to Automated Data Integration, with Co-Founder and COO Taylor Brown

Fivetran’s mission to to make data as accessible and reliable as electricity. We're focused on providing automated access to data so data analysts and engineers can be empowered to actually analyze their data. For small companies and large enterprises, Fivetran replicates data from 150+ sources to enable business intelligence and data-driven decisions alongside our partner companies. Learn more at Fivetran.com

Better BigQuery pricing flexibility with 100 slots

BigQuery is used by organizations of all sizes, and to meet the diverse needs of our users, BigQuery offers highly flexible pricing options. For enterprise customers, BigQuery’s flat-rate billing model is predictable and gives businesses direct control over cost and performance. We’re now making the flat-rate billing model even more accessible by lowering the minimum size to 100 slots, so you can get started faster and quicker.

5 Obstacles to Successful Data Governance

Organizational leaders worldwide agree that data governance is important. However, data governance programs in most companies are still being planned or in progress. In a 2020 Dataversity report¹, only 12 percent of companies had fully implemented programs, while 38 percent of programs were a work in progress, and 31 percent were just getting started. That’s because companies often run into roadblocks while executing data governance. Below are five common obstacles organizations face.

Qlik App Analyzer - Demo

The App Analyzer provides a comprehensive dashboard to analyze application metadata across a Qlik Sense tenant, providing developers and administrators with a holistic view into the makeup and integrity of all applications. This includes granular level detail about application data models and memory allocation including base RAM, peak realod RAM, field/table RAM, row counts, cardinality, data islands, synthetic keys, and more.