Remove Enterprise 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. Enterprises do not operate in a vacuum, and things happening outside an organizations walls directly impact performance.

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AI-Enabled Contingency Planning is More Accessible Than Ever

David Menninger's Analyst Perspectives

Enterprises can investigate the impact of different contingencies and the consequences of various reactions faster than ever. Yet those organizations that lack the technology to perform short planning cycles have little or no ability to measure trade-offs in the plans in which they are involved.

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5 tips for better business value from gen AI

CIO Business Intelligence

According to AI at Wartons report on navigating gen AIs early years, 72% of enterprises predict gen AI budget growth over the next 12 months but slower increases over the next two to five years. Compounding these data segments results in smarter recommendations with lead scoring, sales forecasting, churn prediction, and better analytics.

Sales 143
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What’s Next for AI and Sales?

David Menninger's Analyst Perspectives

Forecast accuracy improved a little, but individual win rates did not change much. In fact, through 2026, more than one-half of enterprises will recognize that modernizing processes will be necessary to capture the data needed to enable new generative AI (GenAI) features that aid in maximizing sales effectiveness to achieve revenue targets.

Sales 130
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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

We may look back at 2024 as the year when LLMs became mainstream, every enterprise SaaS added copilot or virtual assistant capabilities, and many organizations got their first taste of agentic AI. AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service.

Insurance 250
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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.