|
Automated operational processes (Ops) are increasingly driving efficiency, speed, scalability, innovation, and other major benefits for organizations. DevOps, DataOps,...
|
|
|
In this report, we explore nine data use cases for emerging technologies that can improve on capabilities needed to compete in the data-driven economy. Use cases combine...
|
|
|
In this report, we explore nine data use cases for emerging technologies that can improve on capabilities needed to compete in the data-driven economy. Use cases combine...
|
|
|
Read our concise Executive Brief to find out what challenges are typically in the way of designing a data platform, review Info-Tech’s methodology, and understand how we...
|
|
|
Data teams struggle in many areas including a quick and iterative approach for converting an analytics/algorithm into a production-ready reusable and integrated software....
|
|
|
Read our concise Executive Brief to understand the operational challenges associated with productizing organization's data-related initiative. Info-Tech’s methodology for...
|
|
|
The pains of poor data operations are felt throughout an organization, from pressures on data analyst to produce insights without proper practice to operationalize...
|
|
|
This phase helps understand benefits of DataOps will help you to understand the reasons why organizations are looking to establish agile principles in their data...
|
|
|
This phase analyzes DataOps using Info-Tech DataOps use case framework, will help you to identify the gaps your data practices that map all data use cases that need to...
|
|
|
This DataOps Practice Assessment Tool will help you analyze your organization's DataOps capabilities and the gaps between the organization's current and future states....
|
|
