Remove Forecasting Remove Measurement Remove Metrics Remove Risk Management
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Best Tax KPIs and Metric Examples for 2021 Reporting

Jet Global

A Tax Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure that an organization, or business, uses to measure the success of its Tax Function over time. Since every organization has its own manner of operation, the KPIs or metrics used for tax will vary from one organization to another.

Metrics 52
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What is Integrated Business Planning (IBP)?

IBM Big Data Hub

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. Key performance indicators (KPIs) are established to measure progress and enable proactive management.

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How to build a successful procurement strategy

IBM Big Data Hub

Understand the organization’s needs—whether it’s increased sales, managing cash flow, shorter time-frames, improved forecasting, quality management or sustainability—and how they align with the overall business strategy and long-term plan. Gather diverse insights, understand needs and manage expectations.

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5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

Agile is an amazing risk management tool for managing uncertainty, but that’s not always obvious.” The key is recognizing that planning must be an agile discipline, not a standalone activity performed independently of agile teams. He recommends that leaders identify a metric that focuses on value to the customer.

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Automating Model Risk Compliance: Model Monitoring

DataRobot Blog

Monitoring Model Metrics. A prerequisite in measuring a deployed model’s evolving performance is to collect both its input data and business outcomes in a deployed setting. Mathematically speaking, data drift measures the shift in the distribution of input values used to train the model.

Risk 59
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How to become an AI+ enterprise

IBM Big Data Hub

An AI+ enterprise mitigates potential harm by implementing robust measures to secure, monitor and explain AI models, as well as monitoring governance, risk and compliance controls across the hybrid cloud environment.

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

Risk 52