Remove Forecasting Remove Metrics Remove Risk Management Remove Visualization
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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. For example, you could be the one to extract actionable insights from specific retail KPIs that need to be visualized and presented during a meeting. BI developer.

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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. A retail company experiences a sudden surge in online sales due to a viral social media campaign.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

The integration of AI and machine learning into BI tools is revolutionizing the processing and analysis of data, propelling organizations toward more accurate forecasting and proactive decision-making. In addition to these advancements, another prominent trend in data analysis is the growing impact of data visualization.

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Automating Model Risk Compliance: Model Monitoring

DataRobot Blog

Monitoring Model Metrics. With this data in hand, we are able to measure both the data drift and model performance, both of which are essential metrics in measuring the health of the deployed model. These observations would have spanned a distribution, which the model leveraged to make its forecasts.

Risk 59
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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.

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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

By analyzing asset data, companies can identify inefficiencies, uncover cost-saving opportunities and make more accurate budget forecasts. Inventory management : Managing an inventory of spare parts and materials is a significant challenge for oil and gas companies. It can also significantly increase uptime and lifespan.