datakili® – Customer Insights

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Generative AI: More Agents, More Journeys, More Complexity
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Generative AI: More Agents, More Journeys, More Complexity

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Revolutionize Omnichannel Journey Management
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Revolutionize Omnichannel Journey Management

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CX: The Hidden Trap of Customer Journeys… That Don’t Actually Exist
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CX: The Hidden Trap of Customer Journeys… That Don’t Actually Exist

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Macro Customer Journey Mapping
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Macro Customer Journey Mapping

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Total Direct Energie wins the « Customer Journey » award with datakili at Data Festival
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Total Direct Energie wins the « Customer Journey » award with datakili at Data Festival

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La Revue du Digital highlights GMF Assurances’ successful partnership with datakili
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La Revue du Digital highlights GMF Assurances’ successful partnership with datakili

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Customer Dissatisfaction: A Critical Business Risk
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Customer Dissatisfaction: A Critical Business Risk

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Revolutionize Omnichannel Journey Management
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Revolutionize Omnichannel Journey Management

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Customer insights, a gold mine strewn with pitfalls?
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Customer insights, a gold mine strewn with pitfalls?

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How are companies turning data into relevant customer insights?
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How are companies turning data into relevant customer insights?

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   Equipping yourself correctly is becoming a major concern for the large companies. However, with the constant release of new tools, it is not obvious to know which one to choose. Through this article, we offer you a concise comparative study of the different types of insights production tools. Including a focus on BI and data analytics tools.       The most used tools for insights production    Using business intelligence tools    Nowadays, large companies all have tools meeting business intelligence needs. These tools represent a set of technologies and processes that allow to visualize, explore, and analyze the data.    The objective of these solutions? Turning raw data into intelligible and useful information to provide guidance for the business teams’ decision-making. Data visualization aims to bring a better understanding of complex and/or unstructured data. Whereas the discovery of data
Blog

Equipping yourself correctly is becoming a major concern for the large companies. However, with the constant release of new tools, it is not obvious to know which one to choose. Through this article, we offer you a concise comparative study of the different types of insights production tools. Including a focus on BI and data analytics tools. The most used tools for insights production Using business intelligence tools Nowadays, large companies all have tools meeting business intelligence needs. These tools represent a set of technologies and processes that allow to visualize, explore, and analyze the data. The objective of these solutions? Turning raw data into intelligible and useful information to provide guidance for the business teams’ decision-making. Data visualization aims to bring a better understanding of complex and/or unstructured data. Whereas the discovery of data

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From Raw Data to Customer Insight: The Power of Structuring
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From Raw Data to Customer Insight: The Power of Structuring

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Telemarketing Regulations: A Turning Point for Customer Journeys
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Telemarketing Regulations: A Turning Point for Customer Journeys

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How does CJA allow customer data analysis and insights dissemination?
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How does CJA allow customer data analysis and insights dissemination?

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Nowadays, every company uses customer insights in its decision-making. However, they don’t use the same tools to produce and use them. These different solutions rely on technologies that are just as different.    But then, how to differentiate these solutions and what different benefits do they bring to the table?
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Nowadays, every company uses customer insights in its decision-making. However, they don’t use the same tools to produce and use them. These different solutions rely on technologies that are just as different. But then, how to differentiate these solutions and what different benefits do they bring to the table?

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Customer Journey Analytics: deployment methodology and expected results
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Customer Journey Analytics: deployment methodology and expected results

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Avoid repeat calls, cut costs, and improve customer satisfaction!
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Avoid repeat calls, cut costs, and improve customer satisfaction!

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Build customer loyalty thanks to journey analytics!
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Build customer loyalty thanks to journey analytics!

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