What do Analytics Engineers do? 4. Agrico’s challenge 5. Our set-up, architecture & business context 6. What can you gain with Analytics Engineering? 7. Questions 12-9-2023 Data transformations without Data Engineering? How Agrico builds dashboards in no time with Analytics Engineering Outline What will we cover today?
choice ~300 colleagues Research driven we actively search for the best proprietary potato varieties Cooperative Our members ( ~1700) are both owners as well as suppliers 12-9-2023 Data transformations without Data Engineering? How Agrico builds dashboards in no time with Analytics Engineering Who we are
builds dashboards in no time with Analytics Engineering The challenges in today's world ….and how we cope with them Growing demand Growing conditions Technology Operational effort to optimize yields and add acreage R&D driven efforts to introduce new varieties ICT driven efforts to become data driven
builds dashboards in no time with Analytics Engineering Our goal is to seek "good growth" ….but what does that mean? In volume In quality As an organization For our growers / members For the environment Good growth
without Data Engineering? How Agrico builds dashboards in no time with Analytics Engineering About Digital Power Amsterdam Den Bosch London 145 colleagues Digital Power B.V. founded in 2016
How Agrico builds dashboards in no time with Analytics Engineering What do Analytics Engineers do? Build data models Optimize transformations Manage data & documentation Technology Business Data sources Build infrastructure Optimize performance Manage data platform Data Engineer Data outputs Build reports Optimize insights Manage data products Data Analyst
builds dashboards in no time with Analytics Engineering The typical ERP1 conditions do not apply Our business and the processes applied are very different.... 1. ERP = Enterprise Resource Planning # The typical ERP system The situation at Agrico 1 Continuous process Season based 2 Article / product structure fixed Same physical product, different articles 3 Volumes / stocks known Volumes / stocks estimated 4 Prices known Prices determined at year end 5 Sales = delivery Volumes invoiced differ from volumes delivered ("Tarra")
builds dashboards in no time with Analytics Engineering Agrico’s challenge Agrico process & specific data D365 entities Data transformation s Information requirements Generic ERP data Customized ERP data
dashboards in no time with Analytics Engineering Storing Processing engine Business logic & transformations Supporting tools & services Serving Costs control Monitoring Key vault Version control Business users bronze silver gold Landing zone Raw data Intermediate data models Final data models
builds dashboards in no time with Analytics Engineering What can you gain with Analytics Engineering? Improved Data Quality Reproducibility & Documentation Faster Time-to-Insight Collaboration & Communication
dashboards in no time with Analytics Engineering Developer Iga Developer Pim feature 01 feature 02 develop main tag 1.0 tag 1.1 tag 1.2 Databricks DEV warehouse Core Cloud Databricks ACC warehouse Databricks PRD warehouse feature N Data Model Repo PowerBI DEV PowerBI ACC PowerBI PRD Developer Daan Scheduled jobs
builds dashboards in no time with Analytics Engineering What can you gain with Analytics Engineering? Improved Data Quality Reproducibility & Documentation Faster Time-to-Insight Collaboration & Communication Consistency Validation Cleansing Accountability Versioning Transparency Coherency Standards Efficiency Holistic Interdisciplinary Sound
builds dashboards in no time with Analytics Engineering Collaboration & Communication Holistic Interdisciplinary Sound Data project Stakeholders Skillsets Roles Tools
builds dashboards in no time with Analytics Engineering What can you gain with Analytics Engineering? Improved Data Quality Faster Time-to-Insight Reproducibility & Documentation Collaboration & Communication
builds dashboards in no time with Analytics Engineering Questions? You can also find us at booth 8! Analytics Engineer in their natural habitat Connect with Iga Connect with Mark
dashboards in no time with Analytics Engineering How to edit the footer • To change the footer date and description, go to "Insert" at the top left. • Then choose: "Header and footer." After clicking, a window will open with the different functions. • To add a presentation title, enter your own text under the heading: ''Footer‘’. • After you have made your choice click on: "Apply anywhere." Now a footer will appear on every slide in the PowerPoint Presentation. • If you uncheck the footer, the footer disappears completely.
dashboards in no time with Analytics Engineering Icons Interactions Notifications Visualisations Tools & technology Shapes Other Expertise Services DA TWA DS DE CX Research Strategy Consultancy Projects Services Academy
Specialist training and creative sessions about data Data services Guaranteed continuation of your data operations Data consultancy Advice, interim management & hands-on work 12-9-2023 Data transformations without Data Engineering? How Agrico builds dashboards in no time with Analytics Engineering What we do
How Agrico builds dashboards in no time with Analytics Engineering What do Analytics Engineers do? Technology Business Data sources Data Engineer Data outputs Data Analyst
engineering Data science Data analytics 12-9-2023 Data transformations without Data Engineering? How Agrico builds dashboards in no time with Analytics Engineering Expertise
• R&D driven efforts to introduce new varieties 12-9-2023 Data transformations without Data Engineering? How Agrico builds dashboards in no time with Analytics Engineering The challenges in today's world ….and how we cope with them • Population growth • Demographic shifts • Consumption patterns • Operational effort to optimize yields and add acreage Growing demand Growing conditions • Precision agriculture • Connectivity through the chains • Data availability • ICT driven efforts to become data driven Technology
builds dashboards in no time with Analytics Engineering Our goal is to seek "good growth" ….but what does that mean? In volume In quality As an organization For our growers / members For the environment Good growth
without Data Engineering? How Agrico builds dashboards in no time with Analytics Engineering About Digital Power Amsterdam Den Bosch London 145 colleagues Digital Power B.V. founded in 2016
How Agrico builds dashboards in no time with Analytics Engineering What do Analytics Engineers do? Build data models Optimize transformations Manage data & documentation Technology Business Data sources Build infrastructure Optimize performance Manage data platform Data Engineer Data outputs Build reports Optimize insights Manage data products Data Analyst
builds dashboards in no time with Analytics Engineering The typical ERP conditions do not apply Our business and the processes applied are very different.... The typical ERP system • Continuous process • Article / product structure • Volumes / stocks known • Prices known • Sales = delivery • Procurement first, sales follows • Can only deliver what is on stock The situation at Agrico • Season based – discontinued • Article structures flexible: same physical product, different articles • Volumes / stocks estimated • Prices determined at year end • Volumes invoiced differ from volumes delivered ("Tarra") • Sales (delivery) often determines procurement • Sale is often different than what is on stock
builds dashboards in no time with Analytics Engineering Agrico’s challenge Agrico process & specific data D365 entities Data transformations Information requirements Generic ERP data Customized ERP data
dashboards in no time with Analytics Engineering Landing zone bronze silver gold Storing Processing engine Business logic & transformations Supporting tools & services Serving Costs control Monitoring Key vault Version control Business users
builds dashboards in no time with Analytics Engineering What can you gain with Analytics Engineering? Improved Data Quality Faster Time-to-Insight Reproducibility & Documentation Collaboration & Communication
dashboards in no time with Analytics Engineering Developer Iga Developer Pim feature 01 feature 02 develop main tag 1.0 tag 1.1 tag 1.2 Databricks DEV warehouse Core Cloud Databricks ACC warehouse Databricks PRD warehouse feature N Data Model Repo PowerBI DEV PowerBI ACC PowerBI PRD Developer Daan Scheduled jobs