Top 3 worst data quality process errors and how to fix them [IBM]

Data Quality

In our previous post Bust your top 3 worst data quality habits we discussed the dirtiest data quality habits and how to bust them. All of those errors lead to the need for a clean process to be put in place. But even those are often flawed! Ack! How do you get this right? Gartner analyst Lyn Robinson puts it nicely “A business that can’t produce useful information is like an airplane that can’t fly. How useful is that?”

In this blog post, we summarize our IBM and TechTarget article “Data Quality Process Needs All Hands on Deck” to pick out and fix the top 3 worst data quality process errors. You can break the habits, but can you maintain the process?

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An Overview Of The Top 3 Converged Infrastructure Offerings

Even with the latest infrastructure technology, IT departments must continue to support applications running in both bare-metal and virtualized environments. This causes a few problems for IT managers including:

  1. Staggering growth means complex infrastructures need to become more efficient to adapt dynamically to workload demands and use servers, storage, networking and power optimally.
  2. Manual assembly requires time consuming, error-prone support for every step from server refresh to cloud computing for siloed, hierarchical, point-to-point infrastructures.
  3. Multiple switching layers and fragmented management tools make it difficult to observe, manage, debug network traffic and support the latest applications that can leverage on-premise, private cloud and off-premise resources.
  4. Administrator productivity suffers when rushed to configure new servers to keep up with scale. Also, operations often take up more time than is spent on strategic planning.

Before you rip-and-replace, have you considered a converged infrastructure?

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Is Comprehensive Virtualization Like 3D Chess? [IBM]

Be careful, they say, what you wish for. Most organizations have at last bought into the promise of near-fully virtualized enterprise data centers. And, in the long run, that’s unquestionably a good thing. After all, virtualizing your data center offers a variety of potential benefits from reduced upfront capital to lower operating costs. Yet a whole host of complexities – not the least of which of those is exacerbated by the diverse group of virtualization rivals vying for a place in your data center – has made the challenges of installing and configuring a virtual environment daunting.

For instance, as organizations have begun consolidating their physical number of servers, pushing the envelope and becoming more and more virtualized, solving yesterday’s challenges has created newer and bigger ones. One, of course, is a lack of standards around virtualization. If IT is mandated with building a private cloud, more often than not it finds itself buying, for instance, servers, storage, network infrastructure, VMware, hypervisor and management tools from a highly qualified but disparate group of vendors and then left to do all the heavy lifting required to sew everything together.

Standards? What standards? [Read more...]