Do these questions sound familiar? What does this data represent? Where is this data coming from? Who is responsible for this data? How can I use this data? Why is it taking me so long to get answers to these questions so I can effectively use the data? If so, be sure to check out […]
Ever wondered how Octopai’s platform provides superior data lineage with a 3-layered automated lineage mapping cross-system, inner system and end-to-end column to column? See for yourself how you can record data assets in a self-updating data catalog as well as dive into the lineage of each asset all from one platform? This interesting in depth […]
Today, large-scale data conversions are often combined with a migration to the cloud, giving the enterprise a chance to also modernize their data pipelines. Watch the webinar to hear from our expert panel as they unpack some of the challenges and solutions to consider when planning a sea of change in data pipelines. This webinar […]
Learn about the key steps in adopting cloud and SaaS delivery for enterprise data. Watch the webinar to find out more about: Best practice approaches to migrating enterprise data to the cloud Data management challenges of a cloud and SaaS set up How to optimize your data platform for a multi-cloud environment How to make […]
Check out our demo to see how Octopai simplifies challenging data tasks and projects, in turn increasing trust and usage of data.
Being a data professional in the finance industry is something like being in charge of the Information desk at Grand Central Station…during rush hour. Your answers need to be accurate. The stakes are high. The consequences of making a mistake or taking too long are that people are going to lose time and/or money. The […]
Without a complete and accurate understanding of how data flows throughout the organization, it is extremely difficult to establish the processes and metrics necessary for a successful data governance program. Best-in-class data lineage that provides multi-layered views of the data (cross-system, end-to-end and inner-lineage) plays a critical role in knowledge transfer, issue identification, information on […]
Data is only meaningful if it is understood, trusted, and used. In today’s data and analytics environments, achieving these goals is more difficult due to the complex and often confusing manipulations that data undergoes before it ultimately ends up in reports and analytics assets. Fortunately advances in data lineage give organizations with messy analytical environments […]