NEWS

Alteryx predicts that Roger Federer will beat Novak Djokovic in the 2019 Men’s Singles final

Alteryx has utilised the power of predictive analytics to predict the outcome of this year’s Wimbledon Men's Singles championship. Leveraging over 100 years of historical match data from Kaggle, Alteryx has built a predictive model that suggests Roger Federer will beat Novak Djokovic in the final match on Centre Court. This data has also given some insight into the physical profile of the ultimate male tennis player.

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NEWS

Database market's future lies in the Cloud

By 2022, 75% of all databases will be deployed or migrated to a cloud platform, with only 5% ever considered for repatriation to on-premises, according to Gartner, Inc. This trend will largely be due to databases used for analytics, and the software-as-a-service (SaaS) model.

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NEWS

Migrations are the biggest challenge facing database professionals

The second edition of the only industry report that benchmarks monitoring in the SQL Server community has revealed that migrations are now the number one priority for database professionals. The 2019 State of SQL Server Monitoring Report from Redgate has seen the increasing adoption of the cloud and the sunset of support for SQL Server 2008 R2 overtaking security and protection as the major concern.

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NEWS

Data analytics predicts Cricket World Cup 2019 winner

Alteryx predicts that England will lose to India and Australia will take home the trophy.

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NEWS

Incomplete data causes lost revenue and customers

A new report from Dun & Bradstreet reveals businesses are missing revenue opportunities and losing customers due to bad data practices. Almost 20 percent of businesses have lost a customer due to using incomplete or inaccurate information about them, with a further 15 percent saying they failed to sign a new contract with a customer for the same reason.

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Latest Video

How to Turn Data into Business Value

Marc Chemin, Global Insights & Data Consulting Leader, shares his view on how our clients can exploit big data and analytics to enhance organizational revenues, customer satisfaction and business processes.

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