Remove KPI Remove Metrics Remove Modeling Remove Statistics
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. This should not be news to you. But it is not routine.

Metrics 156
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Remove Your Rose Tinted Glasses: Data Visualizations Designed to Mislead

datapine

From political issues to sports statistics and the recent report you received on the ROI of your company blog, the internet as well as informational reports are flooded with examples of misleading data visualization. But, by knowing what to look for, you can avoid connecting with metrics that will lead your organization down the wrong path.

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Smarten Announces SnapShot Anomaly Monitoring Alerts: Powerful Tools for Business Users!

Smarten

Smarten CEO, Kartik Patel says, ‘Smarten SnapShot supports the evolving role of Citizen Data Scientists with interactive tools that allow a business user to gather information, establish metrics and key performance indicators.’

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What is SaaS Reporting? & The Tools You Can’t Miss

FineReport

Adaptive Insights was an early user of the software as a service (SaaS) model for business intelligence and corporate performance management. It is a cloud-based corporate performance reporting solution that helps businesses plan budgets, actuals, plans, forecasts, calculations, and cell notes on all key SaaS metrics and KPIs.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

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QA Teams Need All-in-One Data Analytics Platforms for Testing

Smart Data Collective

Integrating testing into these software delivery models requires new QA tools that can be easily integrated into open-source test automation solutions for data engineers and QA specialists. Users can customize numerous widgets and dashboards to fit their metrics and create reports within minutes. Test process monitoring.

Testing 106