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Qlik debuts agentic experience

Qlik has announced the private preview of its new agentic experience in Qlik Cloud, delivered through Qlik Answers as the unified conversational interface, bringing together structured data analytics, unstructured documents, and the reasoning power of large language...

Qlik adds Open Lakehouse features

Qlik has announced new capabilities in Qlik Open Lakehouse that bring streaming ingestion and real-time transformations to its managed, Apache Iceberg–based lakehouse. With these additions, teams can ingest high-volume events from Apache Kafka, Amazon Kinesis, and...

Self-service analytics without governance is a ticking time bomb

Self-service analytics promises speed and scale, but without strong governance and data literacy, it can just as quickly produce misleading dashboards, policy breaches, and poor decisions. That is according to Nathi Dube, director: PBT Innovation at PBT Group, who...

SAS unveils low-cost cloud analytics on Microsoft Azure

SAS is offering SAS Viya Essentials, a standard, secure deployment of select SAS Viya products on Microsoft Azure with SAS Managed Cloud Services. Users can skip the learning curve and deploy SAS without complex workloads or customisations quickly and easily – a 99,5%...

Predictive data set from TransUnion

In tough times, credit lenders face increased risk, negatively impacting profitability. To meet the market’s need for improved risk management, TransUnion has bolstered its Bureau Credit Characteristics (BCC) suite with the introduction of BCC Format 700 variables. BCC Format 700 variables is the next-generation of consumer credit profiling data tools that is highly granular, offering more than 3 400 variables across 19 refined industries to increase risk predictability.

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Big data answers ‘what if’ questions

Almost any definition of big data is based on Doug Laney’s original preposition of the three Vs – velocity (the data is growing rapidly), variety (the data comes from many sources – both structured and unstructured) and volume (the data is big), says Gary Allemann, MD of Master Data Management. However, there are challenges with the three Vs definition for big data. Furthermore, many organisations believe that big data is business intelligence (BI).

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