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The Buurtzorg Model with Arnold Stroobach
Join Murray Robinson and Shane Gibson as they chat with Arnold Stroobach about the Buurtzorg organisation, which decentralised its management and administration to small cross-functional self-managed teams that deliver in-home medical care.
Buurtzorg is the Netherlands largest provider of home care with 16,000 clinical staff in more than 1500 local self-managing teams supported by only 50 admin people and 45 coaches at the company’s headquarters. Buurtzorg’s model allows the organisation to deliver health care at 40% less than traditional service providers with much better health outcomes and client satisfaction.
Arnold explains Buurtzorg’s origins methods, and success. Their team structure, responsibilities and roles. And the potential for other organisations to decentralise management to deliver services much more efficiently and effectively at scale.
Transforming to the Product Model with Chris Jones
Join Murray Robinson and Shane Gibson as they chat with Chris Jones from the Silicon Valley Product Group about the product operating model, emphasising the importance of cross-functional agile product teams.
He shares insights on transitioning to a product model. The value of rapid experimentation, product leadership and common pitfalls. And he discusses successful examples of product transformations at Adobe Cloud and Train Line in Europe.
NZ Scaleup AgileData achieves Google Cloud Ready – BigQuery Designation
AgileData has achieved Google Cloud Ready – BigQuery designation, streamlining data management for customers and partners. This certification confirms the integration’s functionality and reliability, reducing complexity through a low-code interface. By leveraging Google Cloud’s infrastructure and BigQuery, AgileData empowers business leaders to rapidly gain insights and make informed decisions efficiently.
The last (for now) of our #AgileDataDiscover summaries!
Shane Gibson and Nigel Vining completed a 30-day public experiment using a Large Language Model for legacy data warehouse discovery. They confirmed it was feasible, viable, and valuable, securing their first paying customer. They’re showcasing their progress at Big Data London in September under their new product, AgileData Disco.
#AgileDataDiscover weekly wrap No.5
We are in the final phase of building a new product, AgileData Disco, aimed at efficiently discovering and documenting data platforms. We are exploring various Go-to-Market strategies like SLG and PLG. Pricing strategies include options like pay per output or subscription models. We are building in public to gather feedback and refine their approach.
#AgileDataDiscover weekly wrap No.4
We review feedback, highlight emerging use cases like legacy data understanding, data governance, and automated data migration. New patterns are needed for moving from prototype to MVP. Challenges include managing tokens, logging responses, and secure data handling. The GTM strategy focuses on Partner/Channel Led Growth.
Mob Programming and Software Teaming with Woody Zuill
Join Murray Robinson and Shane Gibson as they chat with with Woody Zuill about mob programming.
Woody explains the concept of mob programming where a cross-functional software development team focuses on completing one feature at a time. Woody describes how mobbing has increased the effectiveness of development teams he’s worked with by 10 times while rapidly increasing team learning, capability and skills. Tune in to learn about the practical implementation of mobbing techniques to improve your product development.
AI Data Agents with Joe Reis
Join Shane Gibson as he chats with Joe Reis on how the potential adoption of GenAI and LLM’s in the way Data teams work.
#AgileDataDiscover weekly wrap No.3
We focus on developing features such as secure sign-in, file upload, data security, and access to Google’s LLM. Challenges include improving the menu system and separating outputs into distinct screens for clarity. Feedback drives their iterative improvements.
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Discussing agile and product ways of working.
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Layered Data Architectures with Veronika Durgin
Dive into the Agile Data Podcast with Shane Gibson and Veronika Durgin as they explore the intricacies of layered data architecture, data vault modeling, and the evolution of data management. Discover key insights on balancing data democratisation with governance, the role of ETL processes, and the impact of organisational structure on data strategy.
How can data teams use Generative AI with Shaun McGirr
Discover the transformative impact of generative AI and large language models (LMS) in the world of data and analytics. This insightful podcast episode with Shane Gibson and Shaun McGirr delves into the evolution of data handling, from manual processes to advanced AI-driven automation. Uncover the vital role of AI in enhancing decision-making, business processes, and data democratization. Learn about the delicate balance between AI automation and human insight, the risks of over-reliance on AI, and the future of AI in data analytics. As the landscape of data analytics evolves rapidly, this episode is a must-listen for professionals seeking to adapt and thrive in an AI-driven future. Stay ahead of the curve in understanding how AI is reshaping the role of data professionals and transforming business strategies.
The challenge of parsing files from the wild
In this instalment of the AgileData DataOps series, we’re exploring how we handle the challenges of parsing files from the wild. To ensure clean and well-structured data, each file goes through several checks and processes, similar to a water treatment plant. These steps include checking for previously seen files, looking for matching schema files, queuing the file, and parsing it. If a file fails to load, we have procedures in place to retry loading or notify errors for later resolution. This rigorous data processing ensures smooth and efficient data flow.
The Magic of Customer Segmentation: Unlocking Personalised Experiences for Customers
Customer segmentation is the magical process of dividing your customers into distinct groups based on their characteristics, preferences, and needs. By understanding these segments, you can tailor your marketing strategies, optimize resource allocation, and maximize customer lifetime value. To unleash your customer segmentation magic, define your objectives, gather and analyze relevant data, identify key criteria, create distinct segments, profile each segment, tailor your strategies, and continuously evaluate and refine. Embrace the power of customer segmentation and create personalised experiences that enchant your customers and drive business success.
Fast Answers at Your Fingertips: Unveiling AgileData’s ‘Ask a Quick Question’ Feature
Immerse yourself in the magical world of data with AgileData’s ‘Ask a Quick Question’ capability. Perfectly designed for data analysts and business analysts who need to swiftly extract insights from data, this capability facilitates quick data queries and rapid exploratory data analysis.
The Hitchhikers guide to the Information Product Canvas
TD:LR In mid 2023 I was lucky enough to present at The Knowledge Gap on the Information Product Canvas. Watch The Information Product Canvas, is an innovative pattern designed to capture data requirements visually and...
Magical plumbing for effective change dates
We discuss how to handle change data in a hands-off filedrop process. We use the ingestion timestamp as a simple proxy for the effective date of each record, allowing us to version each day’s data. For files with multiple change records, we scan all columns to identify and rank potential effective date columns. We then pass this information to an automated rule, ensuring it gets applied as we load the data. This process enables us to efficiently handle change data, track data flow, and manage multiple changes in an automated way.
The patterns of Activity Schema with Ahmed Elsamadisi
In an insightful episode of the AgileData Podcast, Shane Gibson hosts Ahmed Elsamadisi to delve into the evolving world of data modeling, focusing on the innovative concept of the Activity Schema. Elsamadisi, with a rich background in AI and data science, shares his journey from working on self-driving cars to spearheading data initiatives at WeWork. The discussion centers on the pivotal role of data modeling in enhancing scalability and efficiency in data systems, with Elsamadisi highlighting the limitations of traditional models like star schema and data vault in addressing complex, modern data queries.
Unveiling the Secrets of Data Quality Metrics for Data Magicians: Ensuring Data Warehouse Excellence
Data quality metrics are crucial indicators in a data warehouse that measure the accuracy, completeness, consistency, timeliness, and uniqueness of data. These metrics help organisations ensure their data is reliable and fit for use, thus driving effective decision-making and analytics
Amplifying Your Data’s Value with Business Context
The AgileData Context feature enhances data understanding, facilitates effective decision-making, and preserves corporate knowledge by adding essential business context to data. This feature streamlines communication, improves data governance, and ultimately, maximises the value of your data, making it a powerful asset for your business.
New Google Cloud feature to Optimise BigQuery Costs
This blog explores AgileData’s use of Google Cloud, specifically its BigQuery service, for cost-effective data handling. As a bootstrapped startup, AgileData incorporates data storage and compute costs into its SaaS subscription, protecting customers from unexpected bills. We constantly seek ways to minimise costs, utilising new Google tools for cost-saving recommendations. We argue that the efficiency and value of Google Cloud make it a preferable choice over other cloud analytic database options.
Data as a First-Class Citizen: Empowering Data Magicians
Data as a first-class citizen recognizes the value and importance of data in decision-making. It empowers data magicians by integrating data into the decision-making process, ensuring accessibility and availability, prioritising data quality and governance, and fostering a data-centric mindset.
The patterns of Data Vault with Hans Hultgren
In a compelling episode of the Agile Data Podcast, Shane Gibson invites Hans Hultgren to explore the intricacies of Data Vault modeling. Hans, with a substantial background in IT and data warehousing, brings his expertise to the table, discussing the evolution and benefits of Data Vault modeling in today’s complex data landscapes. Shane and Hans navigate through the foundations of Data Vault, including its core components like hubs, satellites, and links, and delve into more advanced concepts like Same-As Links (SALs) and Hierarchical Links (Hals). They highlight how Data Vault enables flexibility, agility, and incremental development in data modeling, ensuring scalability and adaptability to change.
To whitelabel or not to whitelabel
Are you wrestling with the concept of whitelabelling your product? We at AgileData have been there. We discuss our journey through the decision-making process, where we grappled with the thought of our painstakingly crafted product being rebranded by another company.
Metadata-Driven Data Pipelines: The Secret Behind Data Magicians’ Greatest Tricks
Metadata-driven data pipelines are the secret behind seamless data flows, empowering data magicians to create adaptable, scalable, and evolving data management systems. Leveraging metadata, these pipelines are dynamic, flexible, and automated, allowing for easy handling of changing data sources, formats, and requirements without manual intervention.
Data Consulting Patterns with Joe Reis
Dive into the world of data consulting with Shane Gibson and Joe Reis on the Agile Data Podcast. Explore their journey from traditional employment to successful data consulting, covering client acquisition, business models, financial management, reputation, sales strategies, employee management, and work-life balance.
The Enchanting World of Data Modeling: Conceptual, Logical, and Physical Spells Unraveled
Data modeling is a crucial process that involves creating shared understanding of data and its relationships. The three primary data model patterns are conceptual, logical, and physical. The conceptual data model provides a high-level overview of the data landscape, the logical data model delves deeper into data structures and relationships, and the physical data model translates the logical model into a database-specific schema. Understanding and effectively using these data models is essential for business analysts and data analysts, create efficient, well-organised data ecosystems.
Shane Gibson – Making Data Modeling Accessible
TD:LR Early in 2023 I was lucky enough to talk to Joe Reis on the Joe Reis Show to discuss how to make data modeling more accessible, why the world's moved past traditional data modeling and more. Listen to the episode...
AgileData Cost Comparison
AgileData reduces the cost of your data team and your data platform.
In this article we provide examples of those costs savings.
Cloud Analytics Databases: The Magical Realm for Data
Cloud Analytics Databases provide flexible, high-performance, cost-effective, and secure solution for storing and analysing large amounts of data. These databases promote collaboration and offer various choices, such as Snowflake, Google BigQuery, Amazon Redshift, and Azure Synapse Analytics, each with its unique features and ecosystem integrations.
Data Warehouse Technology Essentials: The Magical Components Every Data Magician Needs
The key components of a successful data warehouse technology capability include data sources, data integration, data storage, metadata, data marts, data query and reporting tools, data warehouse management, and data security.