Why you should care how your BI platform is funded
How your BI platform is funded is a reflection of their management and their capability to build a sustainable product and business.
What is Unravel?
Unravel radically simplifies the way businesses understand and optimize the performance of their modern data applications – and the complex pipelines that power those applications. Providing a unified view across the entire stack, Unravel’s data operations platform leverages AI, machine learning, and advanced analytics to offer actionable recommendations and automation for tuning, troubleshooting, and improving performance.
How to Query a Redshift Table With Talend Cloud
Talend Cloud enables the use of several prebuilt connectors and components for different services running on cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. This article explores a use case of querying an Amazon Redshift table as part of a Talend Job developed using Talend Studio and executed as a task on Talend Cloud.
Qlik Sense Enterprise on Qlik Cloud Services - Product Tour
Qlik's Mike Tarallo takes you on a tour of our new hub and content management features available in our new Qlik Sense Enterprise on Qlik Cloud Service SaaS offering.
Unravel Data Insights demo
Unravel Director of Product Abha Jain provides a demo of Unravel data insights including KPIS for tables/partitions, data tiering at al.
Unravel Chargeback demo
Unravel Director of Product Abha Jain provides a demo of Unravel chargeback reporting - by user, department, by queue, et al.
Your Business Analytics in 2020
This introduction to next-generation analytics includes a step-by-step comparison between legacy BI and Autonomous Analytics, from data integration to anomaly detection and forecasting.
Josh's Five Favourite Things 2019
Our own Josh Good highlights some of his favourite additions to Qlik unveiled at Qonnections and why we can't wait for our users to get their hands on them too!
Is analytics going back to the future?
The biggest takeaway from Gartner’s Magic Quadrant (the MQ) this year for me is that organizations, analysts, and vendors now realize that analytics is not linear. While many businesses are looking to artificial intelligence and augmented analytics, these don’t replace other types of analytics. There’s very little point in delivering sophisticated advanced automated analytics if you haven’t got your ‘bread and butter’ reporting and governance working.
Is analytics going back to the future?
The biggest takeaway from Gartner’s Magic Quadrant is that organizations need Mode One, Mode Two and Mode Three analytics. There’s very little point in delivering highly sophisticated advanced automated analytics if you haven’t got your ‘bread and butter’ reporting and governance working.