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Dresner’s Point: Ready for the “2014ization” of Business Intelligence?

Howard Dresner

What is your organization planning to try to achieve in 2014? Will it have legs in 2014, I asked? Another tweeted, “Through the use of location analytics organization can see new patterns in their data that graphs and charts don’t reveal.” I’d love to know what plans and aspirations your company has for 2014.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

AI empowers real-time site performance monitoring and forecasting by automating data analysis, providing timely alerts and insights, and enabling predictive analytics. It can be integrated into real-time dashboards, visualizations, and reports that provide stakeholders with a comprehensive and up-to-date insight into site performance.

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7 famous analytics and AI disasters

CIO Business Intelligence

PHE uses an automated process to transfer COVID-19 positive lab results as a CSV file into Excel templates used by reporting dashboards and for contact tracing. In 2014, Amazon started working on AI-powered recruiting software to do just that. The culprit? Data limitations in Microsoft Excel.

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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

On 8 July 2014, Brazil suffered its worst ever defeat at the hands of Germany, losing 7-1 in the World Cup semifinal. Enhanced coaching: Real-time data and predictive analytics. But the power of analytics doesn’t stop there, because business managers and coaches can now use predictive analytics.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was.

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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

When I'm creating a dashboard for a high level view, I would take the Treemap above and combine it with the one below that illustrates the amount of Goal Value delivered by each source. The graph below shows the predictions of what would have happened if aggressive intervention started in June 2014.

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Use the Amazon Redshift Data API to interact with Amazon Redshift Serverless

AWS Big Data

Tens of thousands of customers use Amazon Redshift to process exabytes of data per day and power analytics workloads such as BI, predictive analytics, and real-time streaming analytics. Amazon Redshift Serverless makes it convenient for you to run and scale analytics without having to provision and manage data warehouses.