solutions agile-data-governance 
CIO Business Intelligence
NOVEMBER 21, 2023
After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.
CIO Business Intelligence
MARCH 11, 2024
To best leverage AI-driven solutions for its CX initiatives, Covanta’s IT has developed a systematic two-step approach that takes into consideration the structure of existing data, the agile and governance framework, and the company’s overall innovation roadmap. Restructure and re-engineer the core data platform.
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CIO Business Intelligence
APRIL 25, 2024
Here’s a look at why you might want to roll your own cloud cost solution, what makes a successful DIY approach, and how some leading organizations have already done so. Evolving enterprise needs often outpace the product roadmaps of SaaS cost optimization solutions providers.
Cloudera
APRIL 18, 2024
All of that technology, though, depends on data to be successful. In those discussions, it was clear that everyone understood the need to treat data estates more cohesively as a whole—that means bringing more attention to security, data governance, and metadata management, the latter of which has become increasingly popular.
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In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs.
CIO Business Intelligence
SEPTEMBER 19, 2023
Interoperability embodies the ability of solution components to exchange and use data. Not only must the ability to integrate (pass data back and forth) exist, but data must be usable by the various components — and not onerously so! Interoperability risk occurs as each new component is added to the solution portfolio.
CIO Business Intelligence
MARCH 4, 2024
In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well. As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Enter data mesh.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. Yet they are continually challenged with providing access to all of their data across business units, regions, and cloud environments.
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