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In this episode, marketing expert German Ramirez joins us to discuss the relationship between marketing and data. He highlights the issue of collecting irrelevant data and how AI can help. Ramirez also discusses the future of marketing in an AI-driven world and provides valuable insights into data collection and strategy.
Listen to learn more about the role of AI in marketing creativity.
💡Key Takeaways
✅Marketing and data: marketers collect data without considering its relevance.
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⏱Chapters
01:24 Introduction of the guest speaker: Who is German Ramirez?
03:10 The broken relationship between marketing and data
06:25 Data as today’s new oil. What speaks against collecting data?
09:30 Approach for marketers to deal with the problem
14:02 The effect of AI: problem solver or fuel to the fire?
17:55 AI in marketing: creativity killer or supporter
23:47 Marketing, people, and data evolving in the future
26:31 The key to successful marketing in an AI-driven future
27:51 Final inputs and insights: successful data collection and strategy
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Website ►► https://www.bi4all.pt/en/
Instagram ►► https://www.instagram.com/bi4all/
Facebook ►► https://pt-pt.facebook.com/bi4all/
Twitter ►► https://twitter.com/bi4all_official
LinkedIn ►► https://pt.linkedin.com/company/bi4all
Join Joana Dias, Senior Consultant at BI4ALL, and Jorge Pessoa, Senior Consultant at BI4ALL, as they explore the world of Power BI, discussing its evolution, updates, and abilities to handle large amounts of data.
Discover best practices, collaborative features, and integrations with Excel and Power Platform tools.
Learn how to leverage Power BI Report Builder to create dynamic reports and elevate your analytics game.
Join them on this journey to master Power BI and unlock the full potential of your analytics game!
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💡Key Takeaways
✅Power BI is a constantly evolving data visualization tool with monthly updates and new features since its 2015 release.
✅Power BI is similar to Excel in interface and formulas, making it easier for Excel users to learn and use.
✅While Power BI can handle large data sets, complex transformations should be cautiously approached as it is not an ETL tool.
✅Power BI offers rich online documentation and a community for learning and troubleshooting.
✅Tabular Editor helps create calculation groups and merge data between Power BI files.
✅Power BI Online is a cloud-based collaboration and report-sharing service within organizations.
✅Power BI's new "audiences" feature allows better data segregation within workspaces and apps.
✅Power BI integrates well with other Microsoft tools like Excel and PowerPoint.
✅Power BI is part of the Power Platform, which includes Power Automate and PowerApps.
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⏱Chapters
00:00 Introduction
01:01 Evolution of Power BI
01:42 Power BI updates and Excel similarities
03:19 Power BI learning curve vs Excel
04:29 Power BI's data handling capabilities
07:04 Power BI best practices
15:28 Online documentation for Power BI
16:02 External tools for Power BI desktop support
17:47 Batch copy and paste with Tabular Editor
19:27 Power BI online and workspaces for collaboration
23:13 Creating audiences in Power BI
24:14 Power BI workspace management complexity
25:25 Integration with Excel and PowerPoint
27:05 Power Platform tools (Power Automate, Power Apps, Power Virtualizations)
28:43 Power BI Report Builder
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Website ►► https://www.bi4all.pt/en/
Instagram ►► https://www.instagram.com/bi4all/
Facebook ►► https://pt-pt.facebook.com/bi4all/
Twitter ►► https://twitter.com/bi4all_official
LinkedIn ►► https://pt.linkedin.com/company/bi4all
In this episode, the guest speaker is Mimi Zou an expert in the field of artificial intelligence (AI) and its application in customer services.
Throughout our conversation, we talked about the growing use case for AI in customer services, particularly in problem-solving related to compliance and issue prevention.
We also explored the various applications of chatbots in customer service, including their limitations and developments.
During this episode, we also highlighted the gaps in AI that still need to be addressed, including missing elements and the timeline for community adoption.
We also discussed the future of customer service jobs, considering whether they are threatened or supported by AI.
And we end the episode with final inputs and insights regarding AI's other impacts and expectations on customer services.
02:35 Introduction of the guest speaker: Who is Mimi Zou?
04:25 The growing use case for AI in customer services
06:36 Problem-solving with AI: compliance & issue prevention
10:06 Chatbots: applications, limitations and developments
13:05 Business cases and examples for customer services
17:32 AI gaps: missing elements and community adoption timeline
21:42 The future of customer service jobs: threatened or supported by AI?
24:46 Final inputs and insights: further impacts and expectations
Join us to learn more.
➡️This episode is spoken in English
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Website ►► https://www.bi4all.pt/en/
Instagram ►► https://www.instagram.com/bi4all/
Facebook ►► https://pt-pt.facebook.com/bi4all/
Twitter ►► https://twitter.com/bi4all_official
LinkedIn ►► https://pt.linkedin.com/company/bi4all
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In this podcast episode, the guest speaker is Mohan Subramaniam, who discusses his book "The Future of Competitive Strategy."
He talks about the latest developments in data for legacy firms and the differences between product strategy and data strategy.
He also shares insights on how legacy firms can apply digital ecosystems to their businesses and provides examples of best practices from Swiss companies that have successfully implemented data strategies.
Finally, he gives his final inputs and insights on the topic of digital myopia and the potential traps that legacy firms may face as they navigate the digital landscape.
01:44 Introduction of the guest speaker: Who is Mohan Subramaniam?
02:47 The book: The Future of Competitive Strategy
05:09 Latest developments about data for legacy firms
12:03 Product strategy vs data strategy: insights for legacy firms
13:58 Digital ecosystems and their application to legacy firms
21:09 Best practices: Swiss companies implementing data
27:10 Final Inputs and insights: digital myopia and traps
Join us to learn more.
➡️This episode is spoken in English
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Website ►► https://www.bi4all.pt/en/
Instagram ►► https://www.instagram.com/bi4all/
Facebook ►► https://pt-pt.facebook.com/bi4all/
Twitter ►► https://twitter.com/bi4all_official
LinkedIn ►► https://pt.linkedin.com/company/bi4all
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In this episode, we discuss the importance of customer experience and how it can drive business success. We'll start by defining what customer experience is and how it differs from customer service.
From there, we'll delve into the various components of a positive customer experience, including ease of use, personalization, and emotional connection.
We'll also discuss the impact of technology on customer experience and the ways in which companies can leverage digital tools to enhance the customer journey.
We'll explore the importance of data and analytics in understanding customer behaviour and preferences, and discuss the ways in which companies can use this information to improve customer engagement and drive loyalty.
➡️This episode is spoken in Portuguese
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Website ►► https://www.bi4all.pt/en/
Instagram ►► https://www.instagram.com/bi4all/
Facebook ►► https://pt-pt.facebook.com/bi4all/
Twitter ►► https://twitter.com/bi4all_official
LinkedIn ►► https://pt.linkedin.com/company/bi4all
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In this episode, we take a closer look at the life cycle of an AI project and explore the key stages, challenges, and pitfalls to watch out for.
We'll start by discussing the different phases of an AI project, including ideation, prototyping, development, deployment, and maintenance. From there, we'll delve into the main challenges that companies face when implementing AI, including data availability and quality, model selection, and ethical considerations.
We'll also discuss the advantages that companies gain by adopting AI, such as increased efficiency, improved decision-making, and the ability to uncover new insights.
And we will also discuss the best ways for companies to start bringing value derived from AI, such as starting with a small pilot project, identifying the right use cases, and building a strong team with the right skills.
➡️This episode is spoken in Portuguese
#BI4ALLTALKS #Podcast #ArtificialInteligence #AI
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Website ►► https://www.bi4all.pt/en/
Instagram ►► https://www.instagram.com/bi4all/
Facebook ►► https://pt-pt.facebook.com/bi4all/
Twitter ►► https://twitter.com/bi4all_official
LinkedIn ►► https://pt.linkedin.com/company/bi4all
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In this episode, we discuss the nearshore delivery model and how it can be used to effectively deliver software development projects.
We'll start by defining what nearshore delivery is and how it differs from traditional offshore delivery models.
From there, we'll delve into the specific benefits of nearshore delivery, such as increased communication and collaboration, reduced time zone differences, and improved cultural alignment. We'll also discuss the key factors to consider when choosing a nearshore delivery partner, including location, language, and technical expertise
At BI4ALL we've been using this model to partner with our customers for more than 10 years.
Join us to learn more.
➡️This episode is spoken in English
#BI4ALLTALKS #Podcast #Nearshore
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Website ►► https://www.bi4all.pt/en/
Instagram ►► https://www.instagram.com/bi4all/
Facebook ►► https://pt-pt.facebook.com/bi4all/
Twitter ►► https://twitter.com/bi4all_official
LinkedIn ►► https://pt.linkedin.com/company/bi4all
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In this episode of BI4ALL Talks we will address some themes like software delivery practices, continuous quality validation and monitoring. We will talk a bit about your experiences and challenges in these two realities, which have so much in common.
What is DevOps?
It is the alignment of tools, responsibilities and processes of the development team (Dev), with those of the operations team (Ops).
How important is DevOps for companies?
By promoting a culture of collaboration and encouraging teamwork, DevOps improves employee engagement and significantly increases the speed at which applications are developed and performance issues are resolved.
➡️This episode is spoken in Portuguese
#BI4ALLTALKS #Podcast #DevOps
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Website ►► https://www.bi4all.pt/en/
Instagram ►► https://www.instagram.com/bi4all/
Facebook ►► https://pt-pt.facebook.com/bi4all/
Twitter ►► https://twitter.com/bi4all_official
LinkedIn ►► https://pt.linkedin.com/company/bi4all
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In this episode, we dive into the world of cloud computing and explore the key concepts and different types of clouds available.
We'll start by discussing the basics of cloud computing and the differences between on-premise and cloud solutions.
From there, we'll delve into the various types of clouds and discuss the benefits and drawbacks of each. We'll also touch on the concept of multi-cloud and how it can be used to optimize performance and minimize risk.
Whether you're a seasoned IT professional or just getting started with cloud computing, this episode will provide valuable insights and practical tips to help you navigate the ever-evolving world of the cloud.
Tune in to learn more about how cloud computing can transform the way you do business.
➡️This episode is spoken in Portuguese
#BI4ALLTALKS #Podcast #Cloud
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