Business Intelligence & Data Security Articles

BI & Analytics

Simply put, non-subscription churn happens when users or customers, who can end their relationship with your business at any time, leave your website or sales funnel. These types of customers may gradually reduce their purchase frequency over time, or they may all of a sudden never buy again. Companies in nearly

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Artificial IntelligenceBI & AnalyticsEvents

This article is part of a media partnership with Data Analytics and Behavioural Science Applied to Retail and Consumer Markets conference, an event featuring high quality case studies, networking sessions and discussions full of insights on the Retail and Consumer Markets. It takes place June 28 at Millennium Hotel Mayfair, London. To learn more

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fintech business intelligence
BI & AnalyticsData ScienceFinTech

Fintech is becoming an increasingly competitive market. A KPMG analysis saw investments decline in 2016 and investors are now more cautious about betting on segments that are becoming saturated. Lending and payments are two segments that saw increased participation over the past two years. Competitors come in all forms. We

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BI & AnalyticsBig DataTechnology & IT

As the creation and consumption of data continues to grow among businesses of all sizes, so does the challenge of analyzing and turning that data into actionable insights. According to IBM, 90 percent of the data in the world today has been created in the last two years, at 2.5

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BI & AnalyticsBig DataData Science

The digital age is characterised increasingly by the collective. The information generated by tapping into the minds of many is driving decisions in both the public and private sector; research is becoming social. On the back of this, a new science has emerged – known as opinion mining – which

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BI & AnalyticsData ScienceIndustrial Goods & Services

Many process manufacturing owner-operators in this next phase of a digital shift have engaged in technology pilots to explore options for reducing costs, meeting regulatory compliance, and/or increasing overall equipment effectiveness (OEE). Despite this transformation, the adoption of advanced analytics tools still presents certain challenges. The extensive and complicated tooling

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