|
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....
|
|
|
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...
|
|
|
Ever since the term “big data” was coined in 1997, organizations have had difficulty successfully creating the costly infrastructure and managing the large volumes of...
|
|
|
Read our concise Executive Brief to understand the challenges associated with choosing big data tools, Info-Tech’s methodology for making this decision easier, and how we...
|
|
|
In the modern world, everything is bigger, faster, or more complex. With big data, you are dealing with all of those challenges at once. Plus, with the rapidly changing...
|
|
