In this episode of the Data Strategy Gurus Podcast, hosts Yves Mulkers and Angelika Klidas dive into the fascinating world of AI literacy. As AI continues to rise in prominence, the conversation explores the significance of AI literacy and its distinctions from data literacy. Angelika shares insights on why the term "AI literacy" may be more of a marketing strategy and emphasizes the importance of understanding the implications, governance, and ethical discussions involved in AI. Yves and Angelika discuss the intertwined nature of data literacy and AI literacy, highlighting that working effectively with AI solutions requires a solid foundation in data management and governance. As they unravel the complexities of AI literacy, this episode guides listeners on how to navigate the data and AI landscape, offering valuable takeaways and insights on fostering an informed approach to AI adoption. ---- Angelika Klidas embarked on a journey into the world of data literacy around six years ago, when she was instrumental in developing innovative programs in marketing data literacy. Her passion for fostering understanding in this domain set the groundwork for her subsequent endeavors in AI education. The launch of OpenAI's large language model on November 30, 2022, marked a significant milestone in the AI landscape, sparking widespread interest and discussions about AI's novelty. However, with her extensive background, Angelika perceives AI as a long-standing field rather than a new phenomenon. As conversations about AI literacy gained traction, Angelika contributed her insights, expressing a nuanced perspective that challenges the appropriateness of the term "AI." Her work continues to influence discussions on how best to integrate and understand AI in contemporary contexts.

Today your host Yves Mulkers brings you an exciting episode titled 'How AI Is Transforming Data Management and Decision Making' and Matthieu Jonglez, VP of Technology at Progress is here to share his wealth of knowledge. In this enlightening discussion, Matthieu elaborates on the capabilities of MarkLogic in data and metadata management. He explores the crucial balance between IT stability and agile data projects. Our conversation takes a deep dive into the intersection of AI and data, how various versions of truth exist in data due to user variations, and the weight of data quality in generative AI projects. Stay tuned as we decode the future of Data Management and AI with Matthieu Jonglez, right here on Data Strategy Guru's podcast. - Matthieu Jonglez is an entrepreneurial professional with a passion and extensive background in structured data. His journey in the data management domain started in 1999, when he co-founded a startup focusing on data management and exchange in the manufacturing supply chain. Since then, Jonglez has always approached data with an operationalized perspective, studying different ways to employ, leverage, and streamline data to enhance different aspects of a business. Over the years, he has broadened his expertise by examining diverse data-related areas, such as search engine taxonomy, ontology management classification, metadata management, and knowledge graph. Dominated by a pragmatic mindset, Jonglez's ultimate goal is to assist individuals and businesses in understanding and effectively utilizing their data for optimized results.

Welcome to a riveting episode of "Data Strategy Guru's!" In today's episode, our host Yves Mulkers is joined by Rob Roemers, a leader in the data analytics space specializing in public transport operations. Rob provides profound insight into how digital twins are transforming the management of people flow in public transportation, the challenges associated with transitioning to electric buses, and the exciting potential of large language models in data management. He also discusses innovative European initiatives in data management for public transportation and shares his personal journey in the data analytics field. Hit the thumbs up button if you find value in our conversation, and don't forget to subscribe and share the podcast. Let's together drive innovation in industry! Enjoy the show! ---- Rob Roemers is an influential figure within the Brussels public transport operator, MVBE. Despite the organization's humble beginnings of horse-driven trams, it has evolved to become a modern provider of bus, tram, and metro services. Roemers played a role in significant operations such as scheduling and resource planning, although he doesn't lay claim to introducing data analytics to the company. Core to the organization and Roemers' work ethic is an engineering-driven perspective, which is reflected in their expansive transport system, including their metro construction efforts.

In this insightful episode of Data Strategy Guru's, host Yves Mulkers talks with Jay Gopalakrishnan from Knowi.com. They delve into a comprehensive dialogue on leveraging Slack and Teams for efficient data interaction, setting up datasets as business entities, and the prowess of using large language models for digital transformation. They further discuss the challenge of unifying structured and unstructured data, and the crucial concept of data strategy involving runtime queries and database write functionality. Complex, detailed, and insightful, this conversation will challenge your understanding of data strategy in the modern digital landscape. ---- Jay Gopalakrishnan is the brain behind Knowi.com, a leading data analytics platform. His journey began back in 2014 when he was serving as head of product engineering at chemical demand force. Dealing with 19 different data silos, Jay was faced with the challenge of providing a unified view of disparate data sources for the purpose of creating embedded analytics products for clients. The prevalent market advice was to centralize the data, perform transformation and then analysis, a process that would consume tremendous resources and time. Displeased with this proposition, Jay saw an opportunity to create a more effective, efficient solution, leading to the inception of Knowi.com. Years later, Jay's innovative vision still holds relevant in the ever-evolving data landscape.

Join us on this episode of Data Strategy Guru's as we sit down with Tanya Bragin, VP of Product at ClickHouse, to unpack her insights on the evolving data analytics landscape. We delve into the shift to realtime analytics, the impact of cloud data warehouses like Redshift and Bigquery, the challenges and potential of generative AI, and the impassioned world of open source innovation. Tanya also shares her personal work-life balance strategies for distributed teams. Tune in for a deep dive into the future of data and its ever-growing influence across industries. ---- Tanya Bragin's career trajectory is a testament to a seamless melding of technical acumen and business savvy. Her journey began in much uncertainty as she navigated the academic world at the University of Washington. While pursuing graduate studies in distributed systems, she found herself seeking a means to align her rigorous technical foundation with the pragmatic world of business. The pivotal moment in Tanya's career came when her professor pointed her towards the field of product management, a role she had been unaware of but one that perfectly bridged her twin interests. She took her foray into the industry at a Seattle startup named Extrahop, preferring the nimbleness of a smaller company over the lure of established tech giants. At Extrahop, Tanya's role encapsulated the challenges of leveraging her technical knowledge in a business context, allowing her to expand her repertoire within the data space—something she had not initially envisioned for herself. Her background in consulting further enriched her approach, underscoring her journey not just as a technologist, but as a strategic thinker and influential product manager.

In this episode of the Data Strategy Guru's podcast, we had the pleasure of hosting Christopher Chin, a communication coach for tech professionals. Christopher shares insightful tips and strategies on mastering the art of data storytelling and presentation. He emphasized the importance of active listening, consistent communication, and understanding the audience to effectively convey the value of data to business users. Drawing from his experience in the music world, Christopher highlighted the significance of creating an experience and inspiring action through data communication, rather than just sharing information. Join us as we delve into the world of data analytics, communication, and business impact with Christopher Chin on this illuminating episode. ---- Our Guest: Once a dedicated professional embedded in the depths of the data industry, Christopher Chin emerged as a beacon for tech professionals seeking guidance beyond the binary realm. Understanding that the brilliance of data often loses its luster without the polish of presentation, Christopher pivoted his career towards mastering the art of communication.

In this exciting episode of Data Strategy Guru's, host Yves Mulkers sits down with Roman Gebhardt, the founder of Cyanite, to explore the fascinating ways in which AI is revolutionizing the music industry. From transforming music search and categorization to optimizing energy in DJ sets and even creating seamless flow in playlists, Roman delves into the power of AI algorithms in understanding and enhancing our connection to music. Join us as we discuss the potential of large language models, the importance of accessibility and discovering new music, and the ethical considerations surrounding AI in the music world. Don't miss out on this insightful conversation that will open your ears to the future of music! ---- Roman Gebhardt is a key player at Cyanite, a company that specializes in providing music tagging, categorization, and search solutions. With a focus on aiding both individuals and companies, they assist in organizing and enriching music catalogs with metadata, allowing for easier search experiences. In a world where vast catalogs with millions of tracks exist, Cyanite helps ensure that music can be readily discovered by anyone. With their innovative approach, they tackle the challenge of sifting through a vast amount of music and offer solutions that allow users to find the perfect tracks for their specific needs.

In this episode of the Data Strategy Guru's podcast, join host Yves Mulkers as he interviews Bill Inmon, the renowned expert on data warehousing. Get ready to explore the past, present, and future of data warehousing as Bill shares his insights and experiences. Key themes discussed include the untapped potential of text data, the value of listening to customer feedback, the role of text in the medical field, the importance of reviewing corporate contracts, and the evolution of data warehousing since the 90s. Don't miss out on this captivating conversation with one of the pioneers in the field. ---- Bill Inmon is a renowned figure in the field of data architecture. He witnessed the evolution of the concept, from the early days when it consisted of defining keys and attributes and storing them in databases, to the realization that a more organized approach was needed. As databases grew in complexity, the idea that a database should be a source of data for all processing took root. Inmon observed the rise of online transactional processing databases, each with its own unique properties. However, it was during this time that a crucial realization hit the corporate world. Despite having numerous databases, there was a lack of reliable and trustworthy data. Recognizing this pressing issue, Bill Inmon dedicated his career to solving it. He became a leading advocate for the development of data warehouses, which aimed to provide a comprehensive and unified solution for businesses to store and manage their data. Inmon's expertise in this area helped him become a trusted advisor for corporations, guiding them in building reliable and trustworthy data repositories. Through his innovative thinking and practical approach, Bill Inmon revolutionized the field of data architecture. His efforts paved the way for organizations to harness the power of data effectively and make informed decisions based on reliable information.

Welcome to the Data Strategy Gurus podcast! In this episode, we have a special guest joining us. We are pleased to welcome Martin Tombs, Vice President of Market Readiness at Qlik. Martin brings a wealth of knowledge and experience in helping customers navigate the ever-evolving data landscape. In this interview, we dive into the power of co-creation and how market readiness is putting customers first. Martin shares insights on how his team works closely with sales, customers, and product teams to understand customer needs, influence product development, and create tailored solutions to help customers achieve their desired outcomes. We also explore the challenges and opportunities of moving to the cloud and leveraging data for insights. Join us as we uncover the strategies and best practices for staying ahead in the world of data analytics, artificial intelligence, and disruptive technologies. Get ready to be inspired and gain valuable insights from a true data strategy guru. Don't miss this insightful conversation with Martin Tombs on the Data Strategy Gurus podcast. ---- Welcome to the Data Strategy Gurus podcast! In this episode, we have a special guest joining us. We are pleased to welcome Martin Tombs, Vice President of Market Readiness at Qlik. Martin brings a wealth of knowledge and experience in helping customers navigate the ever-evolving data landscape. In this interview, we dive into the power of co-creation and how market readiness is putting customers first. Martin shares insights on how his team works closely with sales, customers, and product teams to understand customer needs, influence product development, and create tailored solutions to help customers achieve their desired outcomes. We also explore the challenges and opportunities of moving to the cloud and leveraging data for insights. Join us as we uncover the strategies and best practices for staying ahead in the world of data analytics, artificial intelligence, and disruptive technologies. Get ready to be inspired and gain valuable insights from a true data strategy guru. Don't miss this insightful conversation with Martin Tombs on the Data Strategy Gurus podcast.

In this episode of the Data Strategy Gurus podcast, we sit down with Kevin Ryan, the Director of Business Intelligence at Wolters Kluwer. Join us as we delve into the world of ad hoc data analysis, self-service business intelligence, and the challenges of scaling data strategy across an organization. Kevin shares valuable insights on building a data culture, finding champions within the company, and the importance of strategic thinking in leveraging advanced analytics. Don't miss out on this enlightening conversation that explores the power of data in driving business success. ---- Kevin Ryan is a versatile professional who tackles two main priorities in his job. On one hand, he plays the role of an order taker, providing ad hoc support to his team in sales, marketing, product development, and financial matters. This involves processing various requests and inquiries related to turnover and finances. On the other hand, Kevin and his team take on a more strategic role, focusing on designing and implementing a data strategy that can effectively span across all divisions within Wolters Kluwer. With his tactical and strategic expertise, Kevin contributes to the company's success on multiple fronts.

Welcome to the Data Strategy Gurus podcast! In this episode, we have a special guest, Simon Mortimore, the assistant director of Business Information at the South Central Ambulance Services in the UK. Simon shares his journey of using data to improve patient care and how they collaborated with technology partner, Qlik, to develop solutions that align better with the business needs. From creating user-friendly dashboards to teaching supervisors about data analysis, Simon emphasizes the importance of aligning data and information with decision-making processes. He also highlights the role of the Qlik community and their strategic partners in supporting the organization. Join us as we explore how data-driven strategies have transformed ambulance services and how collaboration can drive innovation in the healthcare industry. ---- Simon Mortimore is a senior manager at South Central Ambulance (SCAS) and has been working there for eight years. When he joined, SCAS was already using Qlik software for business intelligence purposes, but Simon believed that the existing solutions did not effectively meet the needs of end users. He worked closely with Qlik and their partners, Differentiator and Infinity, to develop solutions that aligned better with the business objectives. Simon's focus was on providing managers with the right information in their dashboards to support decision-making and improve processes and quality. SCAS handles around 2.6 million clinical contacts annually and provides services across various departments, including clinical, finance, and HR. Simon is passionate about leveraging data and information to drive effective management and supervisory practices. He spearheaded initiatives such as using real-time data from the telephony platform to create scatter plots, or "smartygrams," to help supervisors monitor call takers' performance. Simon also emphasized the importance of tailoring information sets to different levels of the organization. As a senior manager, he ensured that board-level reports only included time series data of 30 days or more, considering shorter timescales to be too tactical. Simon appreciates Qlik's technology for consistently meeting their challenges and credits the strong partnership with Qlik and their strategic partners for the success of their initiatives.

🎙️ Welcome back to the Data Strategy Guru's podcast! In today's episode, we have a special guest joining us - Yali Sassoon, the co-founder of Snowplow. Yali is an industry expert with over 20 years of experience working with data. As a thought leader in the field, Yali has witnessed firsthand the challenges that organizations face in effectively utilizing data to drive meaningful insights and optimize customer experiences. In this interview, Yali shares their insights on the importance of data democratization, the power of detailed documentation, and the role of AI in transforming the data creation process. Get ready to dive deep into the world of data strategy with Yali Sassoon and discover how Snowplow is revolutionizing the way businesses understand and leverage their data. Stay tuned, this is an episode you won't want to miss! 📊🎧 ---- Our guest Yali Sassoon is a data expert with over 20 years of experience in the field. His fascination with the power of numbers began during his university studies in science and the philosophy of science, where he recognized the impact of using data to expand human knowledge. Yali started his career as a consultant, focusing on how organizations utilize data. It was during this time that he worked with a wind turbine client and saw firsthand how his analysis in Excel transformed their manufacturing process and prompted significant business process changes. This experience fueled his passion for using numbers to drive business transformation. Around 10 to 11 years ago, Yali teamed up with his co-founder, Alex, and became captivated by behavioral data. The release of the iPhone and the subsequent explosion of the app ecosystem fascinated Yali, as it presented new opportunities to collect granular data on user behavior across various digital platforms. This ability to gather vast and detailed datasets on user engagement excited Yali, leading him to establish Snowplow in 2012. Since then, Yali has been dedicated to harnessing the power of data to drive innovation and enhance the way businesses operate.

In this episode of the Data Strategy Guru's podcast, our host Yves Mulkers sits down with data expert Phil Husbands to explore the crucial steps involved in building a data-driven organization. From overcoming data chaos to achieving data comfort, they delve into key themes such as aligning organizational structure with data principles, addressing compliance and governance challenges, and the significance of data cataloging. They also discuss the importance of a value chain mindset in data strategy and the crucial role of a high-performance data organization structure. Tune in to gain valuable insights on transforming your organization into a data-driven powerhouse. ---- Our Guest: Phil Husbands is an expert in data management and helping organizations transition from data chaos to data comfort. He recognizes that many organizations struggle with data chaos, where data efforts are abundant but not successful in driving value. Phil sees data chaos as a situation where data feels like hard work and creates a mess that needs to be constantly cleaned up. He believes that organizations should strive for data excellence, a state where the business is data-driven with mature data capabilities. However, Phil understands that achieving data excellence requires a roadmap and cannot happen overnight. His approach focuses on taking the first steps to escape data chaos and create breathing space for the organization. By freeing up resources from unproductive data efforts, organizations can start focusing on more data-driven activities. Phil's expertise lies in guiding organizations through the essential steps needed to establish a solid foundation of data comfort. With his guidance, organizations can avoid data chaos and embrace a productive and successful relationship with data.

In this episode of the Data Strategy Guru's podcast, our host Yves Mulkers engages in a compelling conversation with Kevin Hanegan from Qlik. They delve into the importance of soft skills in data literacy and how practical experiences can transform perspectives. As they explore the power of critical thinking and the challenges of the evolving data landscape, you'll gain valuable insights into staying ahead in the data-driven world Kevin shares his insights on engaging customers and executives in a practical way, ensuring they truly understand the impact of their decisions and the consequences of biases. He emphasizes the need to bridge the gap between theory and application, to demonstrate the real value of data-driven decision-making. ---- Our Guest: Kevin Hanegan is a uniquely positioned individual who plays a crucial role in interacting with various groups such as customers, partners, and prospects. His primary focus is to educate these groups about the company's products, as well as the importance of data literacy, data management, and data security. Kevin's aim is to ensure that employees and customers are equipped with the necessary knowledge to make informed decisions regarding data. Not stopping there, he also takes a proactive approach by reaching out to university programs, teaching students the essential skill sets required to excel in their future careers. Through this holistic approach, Kevin Hanegan pioneers a future where individuals not only possess the technological know-how but also possess critical thinking and problem-solving skills to make optimal use of data.

On this episode of Data Strategy Guru's, we explore the challenges organizations face when moving data from on-premises to the cloud, working with cloud-based data sources, and dealing with data literacy. Automation is an underused key component in analytics and data technology. We'll also discuss the democratization of data through embedding analytics workflow and providing more users with access to data. Our guest shares insights into AI's role in serving a broader community of users if delivered the right way. The focus is on helping clients solve problems with data with easy-to-deploy AutoML models and productizing the methodology around it. Join us as we look into how Qlik is investing in innovation and new capabilities that support an end-to-end pipeline for generating insights and taking action. ---- James Fisher is a problem solver extraordinaire in the world of data. With a passion for helping customers overcome challenges, James is dedicated to making the process of utilizing data easier and more efficient. He understands the demands faced by individuals within his vast customer base and recognizes the abundance of available data. James believes that data literacy is a key challenge and strives to innovate and deliver new capabilities that streamline the process. His ultimate goal is to ensure that the right data is in the hands of the right people, enabling them to generate insights and take action seamlessly. James is here to discuss his innovative solutions and how they can revolutionize the world of data.

On this episode of Data Strategy Guru's, our guest Jan Birkholz discusses the power of process mining in analyzing and improving processes within a company. Process mining is an automatic method of reconstructing processes using digital footprints in source systems, allowing for an objective analysis and quantification of process efficiency. Jan highlights the importance of efficiency and automation in a process, as well as the measurement of key metrics such as the automation rate and rework conformance. He suggests leveraging the capabilities of Qlik's end-to-end platform, which includes integration, connectivity, data transformation, and visualization. Jan also discusses the integration of data analytics and process mining in Qlik's platform, emphasizing the value of deriving insights on KPI changes and lead time analysis. ---- Our guest: Jan Birkholz is an expert in process mining, a revolutionary method of reconstructing and redesigning processes based on digital footprints in source systems. Instead of relying on traditional methods such as interviews and map drawing, Jan utilizes an automatic approach to rebuild processes. With his expertise, Jan has transformed the way businesses analyze and optimize their operations, making processes more efficient and effective. Through his innovative work, Jan has become a leading figure in the field of process mining, helping organizations achieve unprecedented levels of productivity.

On this episode of Data Strategy Guru's, we dive into the world of data strategy, management, and disruptive technologies. Our guest, Ed Ost, shares his expertise and insights on topics such as data lakes, collaborative governance, and the evolving landscape of data analytics. Ed discusses the power of treating data as a product and the importance of streamlining data operations. We also explore the role of visualization tools like Qlik in data quality and the integration of semi-structured data. Ed emphasizes the need for data lineage and contextualizing data within business processes. He highlights the value of a collaborative data platform that brings together data engineers, analysts, and scientists. Additionally, we delve into the application of change management to data artifacts and the potential for schema evolution in the future. Whether you're a data professional or a business leader, this episode provides valuable insights into harnessing the power of data in your organization. ---- Ed Ost is a highly experienced professional in the field of data integration and analytics. With a deep understanding of the Qlik platform, Ed has actively contributed to its development and expansion. Starting with a focus on visualization, Ed has witnessed the incredible growth of Qlik and its transformation into a cloud-based solution with QlikSense. As the platform evolved further, Ed played a key role in the introduction of Qlik Data Integration and Qlik Replicate, which now offer a complete data supply chain. Ed's expertise lies in event-driven real-time integration, particularly with the implementation of Change Data Capture. With this capability, he ensures seamless integration of data from various sources, allowing for a comprehensive and up-to-date data warehouse. However, Ed's ambition doesn't stop there. Recognizing the vast potential of other data types, he has led efforts to integrate semi-structured data into the Qlik platform. Operational applications, in particular, often rely on such data, making it crucial to process and normalize it. Ed has championed this cause, ensuring that semi-structured data can be effortlessly combined and enriched with the primary event-driven data stream. Overall, Ed Ost's contributions and expertise have been instrumental in establishing Qlik as a powerful and versatile platform for data integration and analytics.

On this episode of Data Strategy Guru's, we dive deeper into the 4dDX framework for success with our special guest Phil Husbands. The framework revolves around three key principles: understanding the organization's goals, identifying the data goals that will drive the business to achieve those goals, and understanding the data capabilities needed to achieve those data goals. We explore how data capabilities are essential for organizations to be truly data-driven and achieve their goals. Without sufficient capabilities, organizations may become more data busy than data-driven, resulting in stagnant progress. We focus on the core focus of affordability and how capabilities help organizations define, operate, and measure the ongoing performance of their data capabilities. Our guest, Phil Husbands, shares his insights on the four dimensions of the 4dDX framework and how the capabilities align to them. We discuss the importance of collaboration between technical and business teams and how the framework can help connect strategy, compliance, and execution in data management. We also explore the challenges faced in obtaining data from its source and the importance of the operational and compliance aspects in relation to data value. The 4dDX framework, which stands for four dimensional data excellence, is a strategic data capability framework that helps organizations understand their data capabilities and how to manage them. We discuss the four dimensions of the framework: data value, data compliance, data governance, and data operations, and explain how they provide a simple way to create a comprehensive and implementable data strategy. We also delve into the operational part of the framework and how different components work together in the data value chain. We discuss the accessibility of the 4dDX framework, which is distributed under a Creative Commons License, making it free for non-commercial use. Partners like 7wData can use the framework in their own services. We also mention the 4dDX app, published and distributed through Miro, which allows users to create private copies of the framework, assign development tasks, set deadlines, record status, and capture data capability maturity scores. For those who prefer a spreadsheet version, there is also a 4dDX available in Google Sheets for capturing data capability scores and conducting data maturity assessments. ---- Our guest: Phil Husbands is a leading expert in data excellence and the strategic Data capability framework known as 40 DX. With a deep understanding of the importance of data in helping organizations achieve their goals, Phil works with companies to identify and configure the data capabilities they need. As the creator of 4dDX, Phil helps organizations deploy and manage their data capabilities effectively. Through his expertise, Phil helps companies harness the power of data to drive their success.

On this episode of Data Strategy Guru's, we dive into the world of cloud tools for cost management and predictable pricing. Our guest, Brendan Grady from Qlik, discusses the three main motivations for customers to move to the cloud: saving money, leveraging predictive analytics for profit, and reducing risks associated with infrastructure ownership. Brendan emphasizes the importance of respecting data location and highlights how Qlik's product, Qlik, allows customers to keep their data where it resides without forcing them to move it. While there may be challenges and a timeline involved in implementing the cloud, Brendan emphasizes the importance of planning and support from customer success and partners. We also delve into the issue of high bills from cloud services and how Qlik's Qlik and other tools are helping customers monitor costs and build more efficient architectures. Brendan shares insights on the slow transition to the cloud and the prevalence of hybrid use cases. He also highlights how cloud technology offers quick time to market and shares an interesting use case from Pizza Express during the pandemic. Data security and compliance are key focuses for Qlik, with certifications and controls in place to protect customer data. Brendan discusses Qlik's plans to provide additional security measures in the future. As the pandemic has accelerated the move to the cloud, the podcast emphasizes the need for cost predictability. Qlik is working on pricing and packaging models based on capacity, and customers will have tools to manage costs and save money. Overall, the Data Strategy Guru's podcast aims to bring together experts to share insights, knowledge, and experiences in the evolving data landscape. It covers a range of topics including data analytics, artificial intelligence, and disruptive technologies, with a focus on identifying low hanging fruit use cases and aligning data strategies with overall objectives. ---- Our Guest: Brendan Grady is a forward-thinking individual who understands the needs of customers in the technology industry. With a strong focus on customer satisfaction, Brendan aims to help businesses save money and maximize their profitability. By promoting the transition to cloud-based solutions and eliminating unnecessary infrastructure, he provides cost-effective options to his clients. In addition, Brendan highlights the importance of utilizing predictive analytics and pattern detections to generate revenue. By identifying emerging trends, he enables companies to stay ahead of the game and make informed decisions. Brendan's expertise also lies in mitigating risk by advocating for infrastructure-free operations. He recognizes the value of minimizing potential vulnerabilities and ensuring a smooth and secure business environment for his clients. With his comprehensive knowledge and dedication to customer success, Brendan Grady is a reliable ally for any organization seeking growth and efficiency in the ever-evolving technological landscape.

On this episode of Data Strategy Guru's, host Yves Mulkers welcomes guest Angelika Klidas, who shares her expertise on data and analytics in a minor program. The program covers various aspects of the business, and students learn to align KPIs with organizational goals, write business cases for BI, run a project, write measure plans, and analyze data. Angelika emphasizes the importance of creating "beautiful insights" and how being perceived as an expert in a field they are still learning about can actually lead to better advice given. Also discussed are the challenges of balancing performance with the need for specific data and the four pillars essential for forming a data culture: organizational perspective, data management, analytics, and education. Tune in to gain insights and stay ahead of the game in the constantly evolving data landscape. ---- Angelika Klidas discovered QlikView as a late bloomer in 2007 during her studies at the University of Applied Sciences. She quickly fell in love with the product and began using it in her workplace at UWV. Her proficiency with QlikView impressed her colleagues and she was asked to become a teacher, which launched her into teaching with QlikView. In 2014, she transitioned to using QlikSense, and when the Qlik academic program was introduced, she eagerly incorporated it into her classes.