Business Intelligence & Data Security Articles

BI & AnalyticsContributorsFeaturedFinTechStartupsTech Trends

With ecommerce sales skyrocketing, the options for online transactions are manifold. But what are the problems that come with these many choices to pay? Find out.  Global e-commerce sales hit $29 trillion in 2017 according to data released by the United Nations Conference on Trade and Development (UNCTAD) early this

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BI & AnalyticsBig DataFeatured

A data management plan in a company is not something that can be implemented in isolation by one department or a team in your organisation, it is rather a collective effort – similar to how different players perform in a basketball court.   From the smallest schoolyard to the biggest pro

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BI & AnalyticsContributorsFeaturedFinanceFinTech

In an increasingly competitive market, how are fintech companies adapting to improve their decision making? In industries such as insurance, capital markets, cryptocurrency, wealth and asset management — alternative data is proving to be a valuable source of insight. Like a broken leaf to a hunter or a change of

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BI & AnalyticsContributorsFeaturedFinanceFinTechRetail & Consumer

Banking as a Service (BaaS) is the democratisation of financial capabilities that have fiercely been protected, isolated and hidden in silos for hundreds of years by banks. The fact that BaaS opens up banks’ capabilities and essentially empowers anyone to be able to create their own financial products, goes against

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BI & AnalyticsFeaturedIndustrial Goods & ServicesTechnology & IT

When considering the growth and productivity of organizations in different fields, it doesn’t take too much time to see a pattern on how maintenance strategies are common throughout all consistently thriving operations. Predictive maintenance is amongst the most impactful of strategy plans because it centers itself on forecasting issues before

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BI & AnalyticsData ScienceFeaturedProfessional Services

With a saturated analytics and business intelligence (A&BI) market, why are we still struggling to make analytics platforms work for Data Scientists? And perhaps more importantly, why are we failing to see a return on our expensive Data Science initiatives? It’s not for a lack of effort, a lack of

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