Posts Tagged

data analytics

How To Get Business Insights From Artificial Intelligence (When You Really Need Them)
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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Steering Big Data Projects In The Modern Enterprise
BI & AnalyticsBig Data

Just a few years ago, enterprise organizations had to be convinced that Big Data was a real-world opportunity worth investing in. By 2016, 63% of those enterprise leaders were saying they considered Big Data and advanced analytics initiatives a necessity in order to remain competitive. This year started with even

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Big Data Is Changing The Future Of Nba Scouting
BI & AnalyticsBig DataData Science

Big data and sports analytics are changing the ways many things in sports have traditionally been done. They are allowing for new processes that have the potential to alter the way that organizations conduct their scouting. This is because data science and sports analytics are opening up new data points

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How To Combat ‘Non-Subscription Churn’ With Predictive Analytics
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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What Is Really Driving Public Opinion? - The Next Level In Data Analytics
Big DataData Science

Agility and reactivity. These are two words more likely now than ever to feature in a corporate strategy session. Today’s business landscape is, after all, highly dynamic: increasing competition, margin pressures and the threat of disruptive innovation all conspire to erode the market shares of the complacent. The public sector

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Data Analytics Is The Key Skill For The Modern Engineer
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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Seizing Opportunities With Data-As-A-Service Products
BI & AnalyticsBig DataData Science

We’ve published a white paper, where we look back at the big data and business intelligence trends over the past years and highlight examples of successful Data-as-a-Service products with deep dives into Social Media Monitoring, Self-Service BI and Visual Data Discovery and Analytics Merging the Physical and Virtual Worlds, complete with lessons

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Data Science Vs. Data Analytics - Why Does It Matter?
Big DataData ScienceData Science 101Understanding Big Data

Data Science, Data Analytics, Data Everywhere Jargon can be downright intimidating and seemingly impenetrable to the uninformed. While complicated vernacular is an unfortunate side effect of the similarly complicated world of machines, those involved in computers, data and whole host of other tech-intensive sectors don’t do themselves any favors with

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2017 - The Year Data Made Bank?
Big DataFinTechTech Trends

Financial data finally starting to pay off If you are in Finance, you would have read at least one of the many predictions articles that poured from all directions on the internet in the past month. This is not trying to be yet another one but focus on the CX

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Journey Science: Combining 18 Data Sources + 1 Billion Interactions To Take Ux To The Next Level
BI & AnalyticsData ScienceTechnology & IT

Journey Science, being derived from connected data from different customer activities, has become pivotal for the telecommunications industry, providing the means to drastically improve the customer experience and retention. It has the ability to link together scattered pieces of data, and enhance a telco business’ objectives. Siloed approaches are becoming

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