Data Lake Data Quality ROI 
CIO Business Intelligence
OCTOBER 2, 2024
And Doug Shannon, automation and AI practitioner, and Gartner peer community ambassador, says the vast majority of enterprises are now focused on two categories of use cases that are most likely to deliver positive ROI. The sandbox offers access to several different LLMs to allow people to experiment with a broad range of tools.
datapine
APRIL 15, 2020
But not only, as agile BI solutions and services look to deliver projects which are both high-quality and high-value while the easiest way is to implement high-priority requirements first. That way, the stakeholder’s ROI can be maximized while agilists can truly manage change instead of preventing it.
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CIO Business Intelligence
MARCH 22, 2022
Which type(s) of storage consolidation you use depends on the data you generate and collect. . One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Focus on a specific business problem to be solved.
CIO Business Intelligence
APRIL 4, 2024
The developing client-centered system Al Rawi is proud of the office’s use of the cloud and the creation of what might be the first indigent defense data lake ever established, on Azure. There’s no other job in the world that has that type of ROI, that sense of accomplishment.”
AWS Big Data
MARCH 7, 2023
A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.
erwin
AUGUST 31, 2023
Improved Decision Making : Well-modeled data provides insights that drive informed decision-making across various business domains, resulting in enhanced strategic planning. Reduced Data Redundancy : By eliminating data duplication, it optimizes storage and enhances data quality, reducing errors and discrepancies.
CIO Business Intelligence
APRIL 16, 2025
So a measured context is one parameter for AI ROI. But what kind of data do you need for a solid use case? We used to need structured data because our machine learning models expected field-level information. What matters is the data is ingestible and has longevity. Agentic AI has taken off, so theres opportunity there.
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