|
Data marketplaces facilities data sharing between the data producer and the data consumer. The data product must be carefully designed to truly benefit in today’s connected...
|
|
|
This phase will provide clear benefits of adopting the DaaS framework and solid rationale for moving towards a more connected data ecosystem and avoiding data silos.
|
|
|
This phase will leverage design thinking methodology and templates to document your most important data products.
|
|
|
This phase will provide a step-by-step guide to capture internal and external data sources critical to data products success for the organization and document end to end...
|
|
|
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 insights...
|
|
|
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 practice,...
|
|
|
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 be...
|
|
|
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....
|
|