Remove Forecasting Remove Operational Reporting Remove Statistics
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Solidify Your Digital Strategy: How Automation Helps You Overcome Skills Gaps

Jet Global

Between shifts in the talent landscape and ongoing recession fears, finance leaders are now focused on steering their organizations through turbulent market conditions that require faster, more accurate forecasting and reporting capabilities to support agile decision-making.

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insightsoftware Introduces Comprehensive Cloud Platform

Jet Global

A recent survey by insightsoftware and Hanover Research reported 63% of IT decision makers find that finance is either very- or over-reliant on the IT department for operational reporting. Both statistics are alarming considering market uncertainty increases the demand for more frequent, more accurate forecasts and reporting.

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Top 12 Most Challenging Operational Reports

Jet Global

As leaders reevaluate the agility and resilience of their organizations, they need accurate, timely operational reports that provide real insight into the inner workings of their businesses. The task of creating those reports falls onto the shoulders of finance teams that are sometimes already struggling to manage a heavy workload.

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What Is Embedded Analytics?

Jet Global

Healthcare is forecasted for significant growth in the near future. Head of Sales Priorities Make quota Get an accurate forecast Beat the competition Expand market share Facilitate customer success Connect the Dots Remember that the sales team is on the front lines. They can then pinpoint areas for improvement.

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What is The Difference Between BI and Analytics?

Jet Global

Predictive analysis uses past data to forecast what might happen in the future, and prescriptive analysis “takes that data and goes even deeper into the potential results of certain actions.” Both of these are predictive statistical tools. Diagnostic analysis attempts to explain how or why those events happened.

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The 4 Common Challenges of Predictive Analytics Solutions

Jet Global

4 Common Predictive Analytics Challenges and Possible Solutions Expertise Expertise is a challenge because predictive analytics solutions are typically designed for data scientists who have deep understanding of statistical modeling, R, and Python. Most importantly, they don’t require expertise in statistical modeling, Python, or R.

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What is a Data Pipeline?

Jet Global

Through data visualization, summary statistics, data cleaning, and anomaly detection, data scientists can present a comprehensive understanding of the data’s structure and content. EDA is a crucial first step in any data science project, as it helps data scientists gain insights into the data and informs further analysis or modeling.