Remove Analysis Remove Knowledge Remove Loss Remove SWOT
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Opportunities and Threats from Conducting Win/Loss Analysis

Ellennaylor

This is our third blog of the widely used SWOT (strengths, weaknesses, opportunities and threats) analysis to assess the value of Win/Loss analysis. This blog outlines the opportunities and threats of Win Loss analysis. Win/Loss Interviews Provide Deep Insight. If No Win/Loss Analysis, Blind Spots?

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Market and Competitive Intelligence Solution Poised to Redefine CI/MI Paradigms

Contify

Internal experts within a large company could be encouraged to feedback on rumour as well as share their tacit knowledge. Cultural intelligence (C) From SWOT to TOWS. We are taught SWOT – but a better model is to identify the external risks first. How often is win-loss analysis deployed?

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12 Competitor Monitoring Tools to Trial in 2024

Alpha Sense BI

Ideally, your competitor monitoring tool should do most of the heavy lifting so your teams can focus on strategic analysis, planning, and decision-making that drives your business forward. It also lacks advanced search capabilities, such as keyword and synonym recognition, thematic search, and sentiment analysis.

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How Generative AI Revolutionized Market Intelligence in 2023

Alpha Sense BI

RAG grounds ASLLM in authoritative content by asking it to only reason over information retrieved from a specified set of data rather than reproduce knowledge from its training dataset. Furthermore, users now have the capability to customize data within tables, as well as export the final table for greater modeling and analysis work.

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Competitive Intel: A Complete Definition and Guide

Netbasequid

It offers intimate knowledge of your market, which is crucial to your longevity as a business, regardless of vertical. CI tools like Battlecards can increase sales by upwards of 50% and techniques like Win/Loss can help boost customer retention by more than 12%. The Power of Knowledge. Competitive intel always applies.

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How Investment Teams can Leverage GenAI

Alpha Sense BI

Across the industry, everyday genAI use cases are evolving to create efficiencies, innovate workflows, and streamline internal and external knowledge within organizations. It is ultimately contingent on the complexity of the internal data and knowledge bank and desired uses, and can carry its own sets of risks.

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