DataOps is a complex topic. Industry leaders such as LinkedIn, Airbnb, and Uber have created their own operations platforms. Without open standards currently in place,...
|
|
ThoughtSpot demonstrates a new approach for enabling customers to build analytics solutions: facilitate integration with other vendors rather than trying to build/sell...
|
|
The current model of point-to-point data exchange internally and externally is simply not secure, fast, flexible, or consistent. This prevents individuals and...
|
|
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 phase helps you mature your data practice by putting in the right people in the right roles, establishing DataOps metrics, communication plan, DataOps best practices...
|
|
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.
|
|