Remove Finance Remove Forecasting Remove Measurement
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External Data Supports More Accurate Planning

David Menninger's Analyst Perspectives

One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. Robust datasets that hold a large and diverse set of data from which to glean inferences create more useful and accurate forecasts.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

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AI brings complexity to cybersecurity and fraud

CIO Business Intelligence

Harvinder Singh Banga, CIO, CJ Darcl Logistics elaborates that while AI is a multifaceted technology, aiding everything from fleet management to demand forecasting, cybersecurity takes precedence. Regular engagement with the board and business leaders ensures risk visibility.

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Operational Finance in the Age of Covid-19: Time to Change the Basics?

Jet Global

Covid-19 has had a hugely disruptive impact on operational finance. The term ‘operational finance’ encapsulates the critical activities associated with order to cash, procure to pay, fixed assets, close, consolidation, and reporting. Invariably, these activities have seen added stress in 2020.

Finance 98
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Predictive analytics: opportunities and limits for the future of finance

Jedox

Predictive analytics is a discipline that’s been around in some form since the dawn of measurement. What Predictive Analytics Cannot Forecast. Predictive Analytics Example in Finance. From the opening of Lloyd’s Coffee House in 1686, financial services professionals have been attempting to forecast what’s going to happen next.

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An Introduction To Data Dashboards: Meaning, Definition & Industry Examples

datapine

Data dashboards provide a centralized, interactive means of monitoring, measuring, analyzing, and extracting a wealth of business insights from relevant datasets in several key areas while displaying aggregated information in a way that is both intuitive and visual. Learn all about data dashboards with our executive bite-sized summary!

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A Planning Center of Excellence Delivers Performance Improvement

David Menninger's Analyst Perspectives

AI is also making it easier for executives and managers to rapidly forecast, plan and analyze to promote deeper situational awareness and facilitate better-informed decision-making. Finance people think in terms of money, but line-of-business managers almost always think in terms of things. This may sound like FP&A’s mission today.