Data Transforming Business

The convergence of Master Data Management (MDM) and Artificial Intelligence (AI) is transforming how businesses harness data to drive innovation and efficiency. MDM provides the foundation by organising, standardising, and maintaining critical business data, ensuring consistency and accuracy across an organisation. When paired with AI, this clean and structured data becomes a powerful asset, enabling advanced analytics, predictive insights, and intelligent automation. MDM and AI help businesses uncover hidden patterns, streamline operations, and make more informed decisions in real-time.  By integrating MDM with AI, organisations can move beyond simply managing data to actively leveraging it for competitive advantage. AI algorithms thrive on high-quality, well-structured data, and MDM ensures just that—minimising errors and redundancies that could compromise results. This synergy empowers companies to personalise customer experiences, optimise supply chains, and respond proactively to market ch

As cloud adoption grows, so do the challenges of managing costs effectively. Cloud environments offer scalability and flexibility but often come with hidden fees, unpredictable expenses, and resource sprawl that can quickly inflate budgets. Without the right tools and strategies, businesses may struggle to track spending, identify waste, and maintain budget alignment. Usage-based reporting is pivotal in this process, providing the granular visibility needed to understand real-time consumption patterns and optimise costs. Businesses can align expenses directly with value-driven activities by tracking how, where, and when resources are used. From preventing overspending to fostering accountability, usage-based reporting empowers teams to proactively manage their cloud expenses, turning cloud cost management into a strategic advantage rather than a recurring headache.In this episode, George Firican, Founder of LightsOnData, speaks to Rem Baumann, Resident FinOps Expert at Vantage, about usage-based reportin

Data custodianship today involves managing and protecting vast quantities of sensitive information, requiring organisations to ensure security, regulatory compliance, and ethical usage. It’s not just about protecting data from breaches but also about responsible storage, access, and deletion that aligns with strict industry standards and evolving privacy regulations.The ethical dimensions of data custodianship add further complexity as organisations balance the need for data-driven insights with privacy rights and transparent usage. Mismanagement can lead to significant financial, legal, and reputational risks, making effective custodianship essential for maintaining customer trust and regulatory compliance.In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to Debbie Reynolds, Founder and Chief Data Privacy Officer at Debbie Reynolds Consulting, about compliance with global regulations, the role of AI in data management, and the necessity of human oversight in technology.Key Takeaways:&nbs

Generative AI and unstructured data are transforming how businesses improve customer experiences and streamline internal processes. As technology evolves, companies find new ways to gain insights, automate tasks, and personalize interactions, unlocking new growth opportunities. The integration of these technologies is reshaping operations, driving efficiency, and enhancing decision-making, helping businesses stay competitive and agile in a rapidly changing landscape. Organizations that embrace these innovations can better adapt to customer needs and market demands, positioning themselves for long-term success.In this episode, Doug Laney speaks to Katrina M. Conn, Senior Practice Director of Data Science at Teradata, and Sri Raghavan, Principal of Data Science and Analytics at AWS, about sustainability efforts and the ethical considerations surrounding AI. Key Takeaways:Generative AI is being integrated into various business solutions.Unstructured data is crucial for enhancing customer experiences.Re

In this episode, Rachel Thornton, Fivetran's CMO, discusses the highlights of Big Data London 2024, including the launch of Fivetran Hybrid Deployment, which addresses the needs of organisations with mixed IT environments.The conversation delves into integrating AI into business operations, emphasizing the importance of a robust data foundation. Additionally, data security and compliance challenges in the context of GDPR and other regulations are explored. The episode concludes with insights on the benefits of hybrid deployment for organisations.Key Takeaways: Big Data London 2024 is a significant event for data leaders.Fivetran Hybrid Deployment caters to organizations with mixed IT environments.AI integration requires a strong data foundation.Data security and compliance are critical in today's landscape.Organizations must understand their data sources for effective AI use.Hybrid deployment allows for secure data management.Compliance regulations are becoming increasingly stringent. Data read

Managing network traffic efficiently is essential to control cloud costs. Network flowreports are critical in providing detailed insights into data movement across cloudenvironments. These reports help organisations identify usage patterns, trackbandwidth consumption, and uncover inefficiencies that may lead to higher expenses.With a clear understanding of how data flows, businesses can make informed decisionsto optimise traffic, reduce unnecessary data transfers, and allocate resources moreeffectively. This helps lower cloud costs, improves network performance, and enhancessecurity by revealing unusual or potentially harmful traffic patterns.In this episode, Wayne Eckerson from Eckerson Group speaks to Ben Schaechter,CEO of Vantage, about optimising network traffic costs with Vantage’s Network FlowReports.Key Takeaways:● Network Flow Reports provide detailed insights into AWS costs.● They help identify specific resources driving network traffic costs.● Organisations can reduce costs by up to 90% with proper

Safe Software’s FME is transforming Omaha’s approach to urban mobility with groundbreaking solutions for asset management, e-scooter tracking, and parking management. FME’s robust data integration capabilities are at the core of Omaha’s advancements. The data integration platform enables real-time tracking of e-scooters, offering precise data on their locations and usage patterns. This innovation enhances the management and accessibility of e-scooters, making urban mobility more efficient and user-friendly.Automated parking management processes, facilitated by FME, streamline city operations and reduce manual efforts. This automation leads to smoother parking experiences for residents and visitors, while dynamic rate adjustments, powered by FME, ensure that parking fees are responsive to real-time demand, optimising availability and revenue.In this episode, Wayne Eckerson from Eckerson Group speaks to Jacob Larson, an Applications Analyst from the City of Omaha, to discuss Omaha’s usage of FME. Key

Safe Software’s FME is transforming Omaha’s approach to urban mobility with groundbreaking solutions for asset management, e-scooter tracking, and parking management. FME’s robust data integration capabilities are at the core of Omaha’s advancements. The data integration platform enables real-time tracking of e-scooters, offering precise data on their locations and usage patterns. This innovation enhances the management and accessibility of e-scooters, making urban mobility more efficient and user-friendly.Automated parking management processes, facilitated by FME, streamline city operations and reduce manual efforts. This automation leads to smoother parking experiences for residents and visitors, while dynamic rate adjustments, powered by FME, ensure that parking fees are responsive to real-time demand, optimising availability and revenue.In this episode, Wayne Eckerson from Eckerson Group speaks to Jacob Larson, an Applications Analyst from the City of Omaha, to discuss Omaha’s usage of FME. Key

Open source technologies are transforming how businesses manage real-time data on cloud platforms. By leveraging flexible, scalable, and cost-effective open-source tools, organisations can process and analyse large volumes of data with speed and precision. These technologies offer unmatched transparency, customisation, and community-driven innovation, making them ideal for real-time monitoring, analytics, and IoT applications.As data demands grow, open-source solutions ensure that businesses stay agile, reduce vendor lock-in, and maintain full control over their cloud infrastructure. The result? Faster insights, smarter decision-making, and enhanced performance—all powered by open source. In this episode, Paulina Rios Maya, Head of Industry Relations at EM360Tech, speaks to Mikhail Epikhin, Chief Technology Officer at Double Cloud, about The Power of Open Source in Cloud Platforms. Key Takeaways:Open-source technologies provide standard building blocks for products.Community-driven innovation is ess

Big Data LDN 2024, the UK’s leading data, analytics, and AI event, is less than a week away – promising two days filled with ground-breaking stories, expert insights, and endless innovation.Taking place at the Kensington Olympia in London on September 18-19, this year’s event features fifteen theatres and over 300 expert speakers sharing insights on some of the industry’s hottest topics – from generative AI to data analytics and privacy. With the event less than a week away, EM360Tech’s Head of Podcast Production, Paulina Rios Maya, grabbed Big Data LDN’s Event Director, Andy Steed, for a chat about his expectations for this year’s event and its growing importance in the data world.In the episode, they discuss: The exciting themes or breakthroughs attendees can expect to see showcased this yearHow Big Data London remains relevant in such a rapidly evolving fieldThe unique networking opportunities or interactive experiences attendees have at the conferenceThe standout sessions or keynote speakers at

Sustainable sourcing is essential for businesses committed to environmental and social responsibility, but achieving it requires accurate and reliable data. Master Data Management (MDM) ensures that all sourcing data—such as supplier information, certifications, and compliance records—is consistent and up-to-date. This enables organisations to make informed decisions that align with their sustainability goals, reduce waste, and promote ethical practices throughout their supply chain.MDM is the foundation of a successful sustainability strategy. By providing a single source of truth for all critical data, MDM helps businesses monitor and track their sustainability efforts effectively. With accurate data, companies can identify opportunities to improve resource efficiency, reduce carbon footprints, and ensure compliance with environmental standards, ultimately leading to a more sustainable and resilient business model.In this episode, George Firican, Founder of LightsOnData, speaks to Matthew Cawsey, Director o

Data provenance is essential for maintaining trust and integrity in data management. It involves tracking the origin of data and understanding how it has been processed and handled over time. By focusing on fundamental principles such as identity, timestamps, and the content of the data, organisations can ensure that their data remains accurate, consistent, and reliable.Implementing data provenance does not require significant changes or large investments. Existing technologies and techniques can be seamlessly integrated to provide greater transparency and control over data. With data provenance, businesses can confidently manage their data, enhancing decision-making and fostering stakeholder trust.In this episode, Jon Geater, Co-Chair of the Supply Chain Integrity Transparency and Trust (SCITT) Working Group, speaks to Paulina Rios Maya, Head of Industry Relations, about data provenance. Key Takeaways: Data provenance is knowing where data comes from and how it has been handled, ensuring trust and

FME is a vital tool in disaster management and response. It enables the integration and transformation of geospatial data for real-time tracking of disasters and hazards. By ensuring accurate and timely data analysis, it provides essential decision support for disaster management professionals.During the Maui wildfires, FME and the Pacific Disaster Centre were crucial in managing and analysing critical data, allowing for effective coordination and response. By facilitating seamless data sharing and collaboration among stakeholders, FME helps ensure that the correct information reaches the right people at the right time.In this episode of the EM360 Podcast, Alejandro Leal, an Analyst at KuppingerCole, speaks to Jorma Rodieck, a GIS Specialist at the Pacific Disaster Centre, about the importance of FME. Key Takeaways:FME is an essential tool in disaster management and response, allowing for the integration and transformation of geospatial data.FME enables real-time data analysis and decision support for di

Open source real-time analytics offers unparalleled advantages, providing businesses with freedom and independence to maintain operations seamlessly, even if a vendor issue arises. However, the journey isn't without its challenges. Open source solutions can often be clunky and require specialised expertise to manage effectively. This is where DoubleCloud comes in, offering a managed platform that addresses these obstacles by handling crucial responsibilities such as backups, high availability, and security updates, allowing businesses to focus on leveraging their data.In this podcast, Christina Stathopoulos speaks to Vladimir Borodin, Co-Founder and CEO of DoubleCloud, about open source strategies and the advantages of the DoubleCloud solution.  Key Takeaways:DoubleCloud's managed platform helps overcome the challenges of open source, such as clunkiness and a lack of expertise.Successful customer use cases demonstrate the performance and cost benefits of DoubleCloud's solution.The transition ph

Privacy by Default and Design is a fundamental principle of the General Data Protection Regulation (GDPR). It prioritises transparency, user control, and data security from the outset. This approach ensures that privacy is integrated into systems and processes by default rather than as an afterthought. By embedding these practices, organisations enhance trust and accountability while meeting regulatory requirements. However, challenges such as resistance to change and the need for cultural transformation must be addressed to implement this principle effectively.In this episode of the Don’t Panic It’s Just Data, Tudor Galos, Senior Privacy Consultant, speaks to Paulina Rios Maya, Head of Industry Relations, about the impact of privacy by default and design extend to user experience, where issues like consent fatigue and the necessity for user-friendly interfaces arise. Key Takeaways:Organisations face challenges in implementing privacy by default and design, including resistance to change and the nee

Safe Software's Feature Manipulation Engine (FME) plays a pivotal role in the City of Fremont's operations, particularly in ensuring accurate and efficient data submissions under the Racial and Identity Profiling Act (RIPA). By automating complex workflows and enhancing data quality, FME not only ensures seamless compliance with RIPA requirements but also optimises processes for their ITS and GIS divisions.FME also drives innovation in projects like the DroneSense programme and their Cityworks asset management integration. With seamless data integration and powerful visualisations, FME empowers the City of Fremont to enhance operations, improve asset management, and support informed decision-making.In this episode, Jonathan Reichental, founder at Human Future, speaks to John Leon, GIS Manager for the City of Fremont, to discuss: FME RIPAPublic Safety Chapters:00:00 - Introduction and Overview of the City of Fremont and IT/GIS Division03:01 - Explanation of the Racial and Identity Prof

Real-time data insights help identify performance bottlenecks, manage data efficiently, and drive innovation. Despite the growing need for these capabilities, organisations often face challenges in implementing effective real-time analytics. Achieving high-concurrency data processing is crucial for overcoming performance bottlenecks in real-time analytics. Embracing real-time analytics is not just a necessity, but a way to transform your data into actionable insights, optimise performance, and fuel business growth.Yellowbrick is a modern data platform built on Kubernetes for enterprise data warehousing, ad-hoc and streaming analytics, AI and BI workloads that ensures comprehensive data security, unparalleled flexibility, and high performance. In this podcast, Doug Laney, a Data Strategy Innovation Fellow with West Monroe, speaks to Mark Cusack, the CTO of Yellowbrick, about the power of real-time analytics. Key Takeaways:Real-time analytics enables faster business decisions based on up-to-date

Accurate and reliable data is essential for training effective AI models. High-quality data ensures precision, reduces bias, and builds trust in AI systems. Similarly,  Master Data Management (MDM) systems enhance data quality by integrating data from multiple sources, enforcing data governance, and providing a single source of truth. This helps eliminate discrepancies and maintain data integrity.Integrating Product Information Management (PIM) with MDM ensures accurate and consistent product data across all channels, crucial for data-driven marketing. This combination centralises customer and product data, enabling precise targeting and personalised experiences. MDM and PIM integration leads to higher ROI and improved customer satisfaction by supporting effective marketing strategies.In this episode of the EM360 Podcast, Paulina Rios Maya speaks to Philipp Krueger about integrating PIM and MDM functionalities and how it streamlines operations, improves data accuracy and supports data-driven marketing st

One of the biggest challenges businesses face when it comes to data visualisation is handling the volume of data and the need for faster processing methods. There's a common misconception that effective data visualisation must be fancy and interactive, but simple visuals can be just as powerful. Ann K. Emery, an expert in the field, believes that accessibility doesn't have to be time-consuming or expensive. In this podcast, she shares actionable strategies for creating accessible visualizations with Paulina Rios Maya, Head of Industry Relations at EM360Tech. Key TakeawaysAvoiding red-green colour combinations, Ensuring proper colour contrastUsing direct labelling instead of legends. Avoiding using all-capsUsing grey to highlight important informationEmploying small multiples to simplify complex visualisations. Chapters: 00:00 - Introduction00:54 - Defining Accessibility in Data Visualization02:17 - Big A Accessibility Tips06:36 - Little a Accessibility Strategies12:28 - The

Managing cloud costs effectively has become a significant challenge for organisations relying on public cloud services. FinOps addresses these challenges by ensuring efficient spending and governance of cloud resources. Key practices in FinOps include achieving complete visibility into cloud usage and costs, fostering cross-functional collaboration between finance, operations, and engineering teams, and utilising data-driven decision-making to optimise cloud investments. By embracing a centralised team, organisations can instil a culture of governance and efficiency in cloud cost management. This approach can lead to enhanced resource utilisation and substantial cost savings. With Vantage, your organisation can cultivate a robust cloud cost governance and efficiency culture, ensuring your cloud investments yield maximum value.In this episode of the EM360 Podcast, Kevin Petrie, VP of research at BARC US, speaks to Ben Schaechter, CEO and co-founder of Vantage, to discuss: FinOpsVantage’s platform&nbs