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Data profiling provides the foundation of Data Ecosystem Management by scanning enterprise data assets and mapping core data assets to business function.
Learn MoreData governance extends the foundation by improving the quality and trustworthiness of enterprise data.
Learn MoreData Rationalization is used to reduce costs by eliminating redundant databases from the data ecosystem.
Learn MoreBy migrating core data assets into Hadoop, and using inexpensive processors, memory and storage on cloud platforms, the cost structure of Data Ecosystems can be reduced significantly.
Learn MoreThe Data Profiling Suite allows organizations to discover and inventory their data assets from across the data ecosystem.
The Data Quality Suite allows organizations to systematically govern their data assets by measuring quality and ensuring compliance with policies.
The Data Integration Suite identifies redundant, duplicate and rarely-used databases, which then become targets for decommissioning and rationalization.
The Data Migration Suite allows core business data assets to be migrated to modern compute environments running on low-cost cloud infrastructures.
Large organizations spend a lot of money in maintaining complex data ecosystems with thousands of databases.
Previous cost-cutting initiatives have reduced costs by tackling the low-hanging fruit found in data silos. However, significant cost reduction opportunities remain at the data ecosystem level.
Global IDs allows organizations to follow a systematic approach to taking cost out the data ecosystem.
As companies move from application-centric to data-centric environments, it’s extremely difficult to bring data assets together without automation.
Bill Winkler at MIT Chief Data Officer & Information Quality Symposium 2016 with Stu Miniman and Paul Gillin @theCUBE
The increased amount of oversight that banks and financial institutions are facing from U.S. and international regulatory bodies is forcing a level of responsiveness and clarity in reporting that just wasn’t there in the past.More About Financial Services
The combined issues of data privacy and information security are somewhat unique to healthcare. The ultimate end solution will have to extend beyond the central organization across the entirety of the healthcare landscape.More About Healthcare
Knowing the data landscape and what requires the highest level of security is an absolute must in today’s e-commerce world.More About Retail
When we first began working with (a major telecom), their goal was to eliminate $25 million in IT cost annually through data rationalization. Once they really understood the process and more people got exposure to the Global IDs tool, especially marketing, they quickly realized all sorts of their opportunities what they could get out of the data.More About Telecom
Healthcare is shifting toward more outcomes-based treatment, which requires collective data sharing. And if gathering, linking, sharing and aggregating all this patient information isn't challenging enough, the data must be kept private, secure and HIPAA compliant.More About Pharma
As CIOs of media companies attempt to rationalize their data environments, they must first have a good understanding of the data assets in their enterprise. For organizations with thousands of databases and filesystems, the Global IDs software can provide transparency and help them inventory their digital assets globally.More About Media
