Remove Dashboards Remove Data Analytics Remove KPI Remove Machine Learning
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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

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Get The Most Out Of Smart Business Intelligence Reporting

datapine

Since humans process visual information 60.000 times faster than text , the workflow can be significantly increased by utilizing smart intelligence in the form of interactive, and real-time visual data. Each information can be gathered into a single, live dashboard , that will ultimately secure a fast, clear, simple, and effective workflow.

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What Is The Difference Between Business Intelligence And Analytics?

datapine

Well, what if you do care about the difference between business intelligence and data analytics? The most straightforward and useful difference between business intelligence and data analytics boils down to two factors: What direction in time are we facing; the past or the future?

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How to Take Your Business to The Next Level with Data Intelligence

erwin

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

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Your Modern Business Guide To Data Analysis Methods And Techniques

datapine

This is one of the most important data analytics techniques as it will shape the very foundations of your success. To help you ask the right things and ensure your data works for you, you have to ask the right data analysis questions. Harvest your data. Build a data management roadmap. Answer your questions.

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How FanDuel adopted a modern Amazon Redshift architecture to serve critical business workloads

AWS Big Data

This allowed them to generate C-Suite revenue reports at a much earlier SLA, which was a big win for the data team, because this was never achieved before the Super Bowl. FanDuel introduced a new internal KPI called Query Efficiency, a measure to capture the amount of time users spent waiting for their queries to run.

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Make Every Sprint Count with DevOps Analytics

Sisense

DevOps analytics is the analysis of machine data to find insights that can be acted upon. DevOps data analytics can be set up and measured at any time during your DevOps journey. Start by listing your KPIs. If you’re managing a team, you might want to consider adding usage analytics to your routine.