What challenges did the health care industry face when you entered the program? What challenges does the industry face now and how will impending factors cause the industry to evolve in the next 5 years? Where will health care be delivered in the future?
Although the source of both the " Rule" and how IBM came up with this staggering estimate weren't provided, it did get my attention. Naveego's DQS, according to the company, is designed to help enterprises implement a data quality process with minimal impact on knowledge workers.
The product is designed to identify and track quality issues; support trust in the data through a process of transparency and verification; and quickly connect to, then integrate, on- and off-premises systems.
DQS then helps align and synchronize data across applications and supports the creation of "golden records" that are known good and trustworthy. The company believes that validating data across data stores, regardless of which application silo's responsible for this data, makes it possible for enterprises to find and eliminate errors before they succumb to the GIGO scenario: DQS supports several types of reporting, and helps the enterprise solidify ownership of specific data items and the creation of business processes and priorities to support data quality.
Sketchy Sources, Sound Thinking Since I hadn't come across the rule before, I tried to find its origin and discovered that it has been used as an estimate in both construction management and project management for decades, and has only recently been applied to enterprise data.
I'm somewhat suspicious of "rules" that are taken out of context and blindly reused in other areas. But regardless of whether the ratio is 1 to 10 to or 1 to 5 to Although I don't have research to support Naveego's use of the rule in this context, the concept that finding errors early, before other plans are built upon erroneous understandings, does seem sound.
Naveego, by the way, isn't the only supplier waving the Data Quality banner and suggesting use of the supplier's own services to address this issue.
IBM, Informatica, Talend, Syncsort and SAS, to name a few, support this theory and offer products and services designed to address the improvement of enterprise data. Do you believe Naveego's key takeaway that an early focus on quality offers significant savings over the life of a project?
If so, learning more about Naveego's DQS could be worthwhile. He's literally written the book on virtualization and often comments on cloud computing, mobility and systems software. He has been a business unit manager at a hardware company and head of corporate marketing and strategy at a software company.Current Trends and Issues - More women participating in activities that span a short time period.
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