The Pros and Cons of Data Silos When It Comes to Data Analysis and Management
February 22, 2016
The article on Informatica Blog titled Data Silos Are the Death of Analytics. Here’s the Fix explores the often overlooked need for a thorough data management vision and strategy at any competitive business. The article is plugging for an eBook guide to data analytics, but it does go into some detail on the early stages of streamlining the data management approach, summarized by the advice to avoid data silos. The article explains,
“It’s vital to pursue a data management architecture that works across any type of data, BI tool, or storage technology. If the move to add Hadoop or NoSQL demands entirely different tools to manage the data, you’re at risk of creating another silo…When you’ve got different tools for your traditional data warehouse versus your cloud setup, and therefore different skill sets to hire for, train for, and maintain, you’re looking at a real mess.”
The suggestions for streamlined processes and analysis certainly make sense, but the article does not defend the reasonable purposes of data silos, such as power, control, and secrecy. Nor do they consider that in some cases a firm is required to create data silos to comply with a government contract. But it is a nice thought: one big collection of data, one comprehensive data strategy. Maybe.
Chelsea Kerwin, February 22, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Legacy Servers: Upgrade Excitement
October 2, 2015
Enterprise management systems (ECM) were supposed to provide an end all solution for storing and organizing digital data. Data needs to be stored for several purposes: taxes, historical record, research, and audits. Government agencies deployed ECM solutions to manage their huge data loads, but the old information silos are not performing up to modern standards. GCN discusses government agencies face upgrading their systems in “Migrating Your Legacy ECM Solution.”
When ECMs first came online, information was stored in silos programmed to support even older legacy solutions with niche applications. The repositories are so convoluted that users cannot find any information and do not even mention upgrading the beasts:
“Aging ECM systems are incapable of fitting into the new world of consumer-friendly software that both employees and citizens expect. Yet, modernizing legacy systems raises issues of security, cost, governance and complexity of business rules — all obstacles to a smooth transition. Further, legacy systems simply cannot keep up with the demands of today’s dynamic workforce.”
Two solutions present themselves: data can be moved from an old legacy system to a new one or simply moving the content from the silo. The barriers are cost and time, but the users will reap the benefits of upgrades, especially connectivity, cloud, mobile, and social features. There is the possibility of leaving the content in place using interoperability standards or cloud-based management to make the data searchable and accessible.
The biggest problem is actually convincing people to upgrade. Why fix what is not broken? Then there is the justification of using taxpayers’ money for the upgrade when the money can be used elsewhere. Round and round the argument goes.
Whitney Grace, October 2, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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