Vamos explorar como o Grupo Boticário está desbravando o universo do self-service em BI e AI, democratizando o acesso aos dados e impulsionando a autonomia nas áreas de negócio. 

Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam Jéssika Ribeiro, Gerente Sênior de Produto de Dados no Grupo Boticário; Matheus Garibalde, Diretor de Produtos de Dados e IA; e Wagner Acorsi Aleixo, Gerente Sênior de Governança e Cultura de Dados no Grupo Boticário; juntos discutem as evoluções mais recentes, os desafios de implementar um sistema de self-service de dados com a evolução do uso de IA na empresa.

Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo

Falamos no episódio !

Matheus Garibalde, Diretor de Produtos de Dados e IA; Jéssika Ribeiro, Gerente Sênior de Produto de Dados no Grupo Boticário;  Wagner Acorsi Aleixo, Gerente Sênior de Governança e Cultura de Dados no Grupo Boticário; 

Nossa Bancada Data Hackers:

Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Monique Femme — Head of Community Management na Data Hackers Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart.

Adopting dbt marks a significant leap towards governed data transformations. But with every game-changer, big questions arise: Where do data transformations end? Should they touch the BI layer? What roles do data engineers, analytics engineers, and business analysts play in data modeling? And, is centralizing metrics truly beneficial? Spoiler: It's about finding the balance between freedom and governance.

Our expert panelists will share best practices for scaling dbt to handle transformations and metrics without stifling analyst freedom or causing team burnout. You'll learn how to build a robust metrics layer in dbt and manage business logic as your data operation grows, all by establishing a solid foundation with dbt.

Speakers: Mark Nelson, Silja Mardla, Patrick Vinton, Sarah Levy

Learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

The workflow between dbt and BI is slowing us down. A simple change in dbt can require multiple teams to coordinate and hours of manual work to fix broken content. Valuable time is spent managing disconnected analytics tools that should work together seamlessly.

It’s time to tip the scales back toward speed — without compromising control. In this session, we’ll discuss how dbt and BI should work together. We’ll show you a workflow for moving fast in your BI tool, while still maintaining control of your data model in dbt.

Speaker: Chris Merrick Co-Founder & CTO Omni Analytics

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

In this session, dbt product manager Jordan Stein will discuss how the dbt Semantic Layer is evolving to provide fast, trusted data for downstream stakeholders. Jordan will cover new features, integrations, and use cases across BI, embedded analytics, and LLMs. Brightside Health will share their experience, showcasing how they use the Semantic Layer to deliver fast, reliable, and secure embedded analytics to their customers.

Speakers: Jordan Stein Product Manager dbt Labs

Hans Nelsen CDO Brightside Health

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

The Data Product Management In Action podcast, brought to you by Soda and executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences.  In Season 01, Episode 19, host Nadiem von Heydebrand interviews Pradeep Fernando, who leads the data and metadata management initiative at Swisscom. They explore key topics in data product management, including the definition and categorization of data products, the role of AI, prioritization strategies, and the application of product management principles. Pradeep shares valuable insights and experiences on successfully implementing data product management within organizations. About our host Nadiem von Heydebrand: Nadiem is the CEO and Co-Founder of Mindfuel. In 2019, he merged his passion for data science with product management, becoming a thought leader in data product management. Nadiem is dedicated to demonstrating the true value contribution of data. With over a decade of experience in the data industry, Nadiem leverages his expertise to scale data platforms, implement data mesh concepts, and transform AI performance into business performance, delighting consumers at global organizations that include Volkswagen, Munich Re, Allianz, Red Bull, and Vorwerk. Connect with Nadiem on LinkedIn. About our guest Pradeep Fernando: Pradeep is a seasoned data product leader with over 6 years of data product leadership experience and over 10 years of product management experience. He leads or is a key contributor to several company-wide data & analytics initiatives at Swisscom such as Data as a Product (Data Mesh), One Data Platform, Machine Learning (Factory), MetaData management, Self-service data & analytics, BI Tooling Strategy, Cloud Transformation, Big Data platforms,and Data warehousing. Previously, he was a product manager at both Swisscom's B2B and Innovation units both building new products and optimizing mature products (profitability) in the domains of enterprise mobile fleet management, cyber-and mobile device security.Pradeep is also passionate about and experienced in leading the development of data products and transforming IT delivery teams into empowered, agile product teams. And, he is always happy to engage in a conversation about lean product management or "heavier" topics such as humanity's future or our past. Connect with Pradeep on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else.  Join the conversation on LinkedIn.  Apply to be a guest or nominate someone that you know.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights!              

Computational Intelligence in Sustainable Computing and Optimization: Trends and Applications focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in applications, such as agriculture, biomedical systems, bioinformatics, business intelligence, economics, disaster management, e-learning, education management, financial management, and environmental policies. The book presents research in sustainable computing and optimization, combining methods from engineering, mathematics, artificial intelligence, and computer science to optimize environmental resources Computational intelligence in the field of sustainable computing combines computer science and engineering in applications ranging from Internet of Things (IoT), information security systems, smart storage, cloud computing, intelligent transport management, cognitive and bio-inspired computing, and management science. In addition, data intelligence techniques play a critical role in sustainable computing. Recent advances in data management, data modeling, data analysis, and artificial intelligence are finding applications in energy networks and thus making our environment more sustainable. Presents computational, intelligence–based data analysis for sustainable computing applications such as pattern recognition, biomedical imaging, sustainable cities, sustainable transport, sustainable agriculture, and sustainable financial management Develops research in sustainable computing and optimization, combining methods from engineering, mathematics, and computer science to optimize environmental resources Includes three foundational chapters dedicated to providing an overview of computational intelligence and optimization techniques and their applications for sustainable computing

Every organization today is exploring generative AI to drive value and push their business forward. But a common pitfall is that AI strategies often don’t align with business objectives, leading companies to chase flashy tools rather than focusing on what truly matters. How can you avoid these traps and ensure your AI efforts are not only innovative but also aligned with real business value?  Leon Gordon, is a leader in data analytics and AI. A current Microsoft Data Platform MVP based in the UK, founder of Onyx Data. During the last decade, he has helped organizations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence and big data. Leon is an Executive Contributor to Brainz Magazine, a Thought Leader in Data Science for the Global AI Hub, chair for the Microsoft Power BI – UK community group and the DataDNA data visualization community as well as an international speaker and advisor. In the episode, Adel and Leon explore aligning AI with business strategy, building AI use-cases, enterprise AI-agents, AI and data governance, data-driven decision making, key skills for cross-functional teams, AI for automation and augmentation, privacy and AI and much more.  Links Mentioned in the Show: Onyx DataConnect with LeonLeon’s Linkedin Course - How to Build and Execute a Successful Data StrategySkill Track: AI Business FundamentalsRelated Episode: Generative AI in the Enterprise with Steve Holden, Senior Vice President and Head of Single-Family Analytics at Fannie MaeRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Join Scott Gamester as he challenges the outdated promises of legacy BI and self-service analytics tools. This session will explore the key issues that have hindered true data-driven decision-making and how modern solutions like Sigma Computing, Databricks, and Snowflake are redefining the landscape. Scott will demonstrate how integrating these platforms empowers business analysts, driving innovation at the edge and enabling AI-enhanced insights. Attendees will learn how these advancements are transforming business empowerment and fostering a new era of creativity and efficiency in analytics.

In today’s data-driven world, organizations are increasingly challenged to extract meaningful insights from both structured and unstructured data. Join Matillion and Snowflake in this exclusive session where we explore the transformative power of generative AI within data pipelines, leveraging Snowflake's robust platform and Cortex's advanced capabilities.

This session will guide you through practical use cases that demonstrate how to integrate unstructured and structured data to unlock new insights seamlessly:

Transforming Unstructured Data into Actionable Intelligence:

Discover how to convert customer reviews into structured data by labeling actionable items, extracting product names, and assessing sentiment. We’ll walk you through creating a BI dashboard and generating reports that highlight actionable defects and desired features, empowering your team to make data-driven decisions.

Generating Executive Summaries from Structured Data:

Learn how to generate insightful commentary from your existing structured data. We’ll show you how to create concise executive summaries and trend analyses, integrating contextual information such as competitor activities or regional updates. Imagine automating a weekly Slack message to your leadership team, complete with key sales trends and strategic insights.

Throughout this session, we will showcase the capabilities of Cortex, demonstrating how it can be seamlessly integrated into your data pipelines to enhance your data processing workflows. Whether you’re looking to improve customer experience, drive operational efficiency, or stay ahead of the competition, this session will provide you with the tools and techniques to harness the full potential of your data.

Join us to learn how to turn data into actionable insights that drive business success.

Learn how AI is transforming the tech industry. 

Join us for a panel discussion where industry leaders will share insights on using AI to enhance business intelligence, drive innovation, and gain a competitive edge. 

Discover how AI can improve decision-making, personalise customer experiences, and boost operational efficiency. 

This session offers actionable insights for companies looking to harness the power of AI-enhanced analytics. 

Organizations are struggling with a lack of usage and low ROI for their BI practices. Users are overwhelmed with too much information, and they don’t know what they can trust. Attend this session to see how Metric Insights’ BI Portal works by integrating all your BI tools, reporting, and metrics into a single, consolidated catalog of governed BI assets that users can access, knowing it contains content they can trust.

For over a decade organisations have been managing their most valuable data assets with Cloudera. That means that the most valuable data under management has never been accessible to the latest wave of AI. Now is the time to unlock the potential of Enterprise AI. Let's make data more accessible than ever before, let's lower the bar to access and bring data, analytics and augmented business intelligence to the whole Enterprise.

In today's data-centric business landscape, robust governance, comprehensive auditing, and resilient disaster recovery are paramount for ensuring data integrity, availability, and compliance. This session will explore best practices and advanced strategies for managing and securing your Power BI and Microsoft Fabric environments. Discover how to mitigate risks, optimize operational efficiency, and derive maximum value from your data assets.

Organizations are struggling with a lack of usage and low ROI for their BI practices. Users are overwhelmed with too much information, and they don’t know what they can trust. Attend this session to see how Metric Insights’ BI Portal works by integrating all your BI tools, reporting, and metrics into a single, consolidated catalog of governed BI assets that users can access, knowing it contains content they can trust.

Join us to explore why Analytics as Code is the future of BI & learn how to make it a core component of your analytics engineering strategy.

Building visualizations in a BI tool is just the beginning. To create truly innovative data products, we must blend BI and data pipelines into a reactive, composable end-to-end system. Such a system adapts to changing business conditions, evolving technologies, and increased scale to meet customer needs. Join us to explore why “Analytics as Code” is the future of BI and learn how to make it a core component of your analytics engineering strategy.

Overcome the limitations of your legacy data warehouse or BI systems and reap the benefits of a cloud-native stack with LeapLogic, Impetus’ automated cloud migration accelerator. Join our session to explore how LeapLogic’s end-to-end automated capabilities can fast-track and streamline the transformation of legacy data warehouse, ETL, Hadoop, analytics, and reporting workloads to the cloud. Gain actionable insights from real-world success stories of Fortune 500 enterprises that have successfully modernised their legacy workloads, positioning them at the forefront of the GenAI revolution. 

Have you ever received 50 emails from an Executive asking why a number changed on a business reporting dashboard? Come and hear how Databricks customers are experimenting with Gen BI to explain “The Why”.

• IT and data teams build dashboards, the business continues to use Excel - the last-mile problem

• Our analytics tools don’t explain “The Why”

• GenAI allows us to blend context and semantics in a way we could never previously scale

We call this Generative BI, enabled by the Databricks Data Intelligence Platform.

Come and hear how Databricks customers are experimenting with Generative BI, enabled by the Databricks Data Intelligence Platform.