Join Geoffrey Arnold, Allegheny County’s Manager of Enterprise Data and Analytics, as he details how his team of five has brought together 80% of its departments with cataloged data on data.world, how they encourage better hands-on data stewardship, and why this matters for the citizens of the county.
Cloud adoption can be the gateway to unlocking a trillion dollars in business value, but inefficiencies and delays in the cloud migration process can derail your digital transformation. Ensure a successful cloud data migration by cataloging all of your data, whether from an on-premises data center or in the cloud. Get the necessary metadata and metrics to prioritize and move only the data you need.
Get a demoStreamline your cloud migration process by evaluating relationships and gaps between your data assets using data.world’s knowledge graph. Reduce project time by building dependencies into the plan for your data migration project based on data lineage. Identify and migrate important assets first to onboard your teams faster and reduce downtime for critical business reports.
Use insights from data.world to prioritize and plan, then move only what you need. Add valuable context to assets during your migration process so your teams can understand relationships between old and new assets. Refine your data pipelines to successfully migrate your data by auditing all source data assets to understand how much data is still up-to-date and eliminate redundant assets.
Migration projects are people-intensive and involve many different teams and roles. Organize and oversee migration tasks for collections of assets and assign them to key stakeholders. Collaborate effectively with teams during and after migration via an easy-to-use UI to ensure that comprehensive documentation and business process migration follow your data to the cloud.
With data.world, Prologis embarked on a large digital transformation initiative to move their data to the cloud. Their goals for their cloud data migration included making sure their data was well-organized, clearly-explained, available for self-service. They use data.world as a centralized platform to enable their entire organization to explore data, collaborate, and tie data to business processes.
OneWeb’s team needed a self-service approach to support their data mesh strategy across 30+ Snowflake tenants and enable their data consumers to find trustworthy data products. data.world provides value to OneWeb’s data hub by centralizing data knowledge and context in one platform and providing data lineage to help data consumers understand and trust data pipelines and increase confidence in their data.
With data.world, Penguin Random House UK’s team created a single source of truth where data consumers can discover trusted data products with approved accuracy and data quality. They prioritized a cloud-first data catalog that could also unify their legacy systems and cloud data platform. Today, all of their approved, quality data products are found in data.world with data owners and more that 1,600 measures.
Schedule a demo with the data.world team to see how our product capabilities can help your team streamline your migration and get more value out of your data.
“As the 74% of decision-makers who are starting their organizations’ cloud journey move more data to the cloud, they need to address key challenges to ensure they are getting the most out of their data and can leverage that data at scale, gaining agility, increasing cost efficiency, and making better informed decisions.”
Learn how to unveil end-to-end data pipeline visibility, implement a plug-and-play agile data governance approach, and accelerate cloud adoption ROI with Fivetran and data.world.
Observe relationships between your data using column-level data lineage, powered by a Knowledge Graph. Enable everyone to see how assets, people, and processes are connected to ensure you don’t miss any important assets or use cases.
Perform a comprehensive migration analysis by evaluating data assets, data movement, and data transformations.
Answer questions like “what are your most connected, most complex data assets?” and “What data assets are not used today?”
Take advantage of end-to-end visibility and AI-powered capabilities that comes with being a part of a modern data stack.
With modern data stack partners that handle cloud data warehouses to data transformation to data analytics, data.world is a core part of a modern data ecosystem for your new cloud platform.
“Our technology stack is like a jigsaw puzzle and data.world is the piece that connects everything together. It’s very powerful and unique.””