Analytics

Radiall transforms decision-making with Qlik Cloud

Jul 12, 2023 By Qlik In Qlik

Radiall, a world leader in the electronic connectors industry, has completely redesigned its BI ecosystem to become a data-driven company. Among the objectives: reduce the number of tools and data quality issues and deploy a data culture within the group. Radiall chose Qlik for the power of its powerful associative engine and its embedded ETL capabilities. The first applications implemented were the sales and marketing analysis report and the budget planning applications but the platform was quickly extended to the finance R&D, quality, HR and IT divisions.

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BI complications and their solutions

Jul 12, 2023 By Linx In Linx

Any organisation wanting to pursue digital transformation understands the value of good-quality data. Data is akin to digital gold, and it is immensely important to strategic decision-making. Ensuring that your data or BI team has everything they need is part of the challenge.

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Top Salesforce Trends Shaping the Future of CRM

Jul 12, 2023 By Terence Bennett In Integrate

Salesforce, the renowned customer relationship management (CRM) system, continues to evolve with new features and integrations, revolutionizing how modern businesses operate. In this dynamic landscape, staying ahead of the curve is crucial for companies like yours. Are you ready to harness the power of Salesforce's latest trends? Discover the transformative potential of AI, machine learning, and other cutting-edge capabilities within the Salesforce platform.

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Using dbt to integrate and transform ASCII files

Jul 11, 2023 By David Millman In Fivetran

The final iteration of our series on ASCII files; how to combine dbt and Fivetran to integrate ASCII files.

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Talend Release Notes Highlights - R2023-06

Jul 11, 2023 By Talend In Talend

Discover some of the new features released on Talend applications and products in June. Check the release notes available on Talend Help Center for more information.

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Traditional AI vs. Generative AI

Jul 11, 2023 By James Fisher In Qlik

As generative AI continues to captivate attention with its transformative potential, there is a danger that traditional AI and ML become overshadowed. But as I mentioned in my last blog, this would be a mistake as traditional AI methods still hold immense value and relevance, and likely more so than generative AI in the near term.

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SaaS in 60 - Business Glossary Terms Linked to Master Items

Jul 11, 2023 By Qlik In Qlik

This week we have added a welcomed improvement to the Business Glossary available in Qlik Cloud. The Business Glossary improves internal communication and eliminates confusion by ensuring that the same business terminology is used across the entire organization. Terms that are defined in a Business Glossary can now be linked to Measures and Dimensions in the Master Items library ensuring consistency. AND once defined this information is available for users to view and access directly from the information pop up windows either in edit more or in analysis mode. Streamlining data-based decisions by eliminating misunderstandings due to competing terminologies or inconsistencies between technology definitions and business language.

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Data Integration Trends to Watch in 2023

Jul 11, 2023 By Donal Tobin In Integrate

In today's "Big Data" world, data integration is a critical business process. With the exponential growth of information seen in enterprises all over the globe and increasingly competitive marketplaces, there is a real need to consolidate and analyze business data. Big Data is made up of large amounts of information from many sources: customer interactions, Internet of Things (IoT) devices, mobile apps, SaaS cloud services, and more.

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Integrating Cloudera Data Warehouse with Kudu Clusters

Jul 11, 2023 By Varun Jaitly In Cloudera

Apache Impala and Apache Kudu make a great combination for real-time analytics on streaming data for time series and real-time data warehousing use cases. More than 200 Cloudera customers have implemented Apache Kudu with Apache Spark for ingestion and Apache Impala for real-time BI use cases successfully over the last decade, with thousands of nodes running Apache Kudu.

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