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Wednesday, January 3, 2018




Integrating Private Cloud Systems with Hybrid Cloud Solutions

Author: Blog Admin

Hybrid cloud solutions offer key benefits to enterprises – combining the best services of multiple providers allows each individual aspect of your business to run at optimal efficiency. However, keeping track of decentralized data and integrating existing private cloud systems with a hybrid cloud provider can be challenging.

The key to ensuring the best possible result from hybrid cloud integration is by establishing a uniform policy that serves as a foundation for communication among disparate business units that may be running on separate infrastructure platforms.

There are a few situations that hybrid clouds are uniquely suited to address. For instance, if your company wishes to use a Software-as-a-Service application but is concerned about security, the SaaS vendor can create a private cloud, inside their firewall, specifically for your company. If the company provides you with a virtual private network to access the software, you're essentially using a small-scale hybrid cloud.

The key element there is that there is a private cloud working alongside a public cloud – this is the defining characteristic of hybrid clouds. Enterprises get a flexible, cost-effective mix of public and private cloud services.

Elements of the Combined Private/Public Cloud

The purpose of the hybrid cloud is giving enterprises the ability to move workloads from the private cloud to the public cloud when needed. This may be desirable for any number of reasons – outage or peak demand for computing resources in the private cloud, for instance.

When this happens, the hybrid cloud infrastructure allows for additional computing resources to be called upon on an as-needed basis, but achieving that level of integration requires considering a number of factors:

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Categories: TIG Blog


Thursday, March 5, 2015




Value – the 4th “V” in the Big Data Buzz

Big data is like a fashion trend: You can't turn around without seeing yet another magazine article, research report or talking head pontificating on why you can't live without it. In this case, however, the trend-pushers have a point. Case studies at the Gartner Business Intelligence Summit added to a growing body of evidence that a company's ability to collect, process and analyze large data sets could mean the difference between success and failure. Leadership -- on the IT and business side -- is key.
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Thursday, February 12, 2015




If you're pumping big data into old business thinking, you're doing it wrong

Conversely, if your big data projects aren't blowing up your current business processes, then you too are doing it wrong. You have to hit the reset button on everything from your company strategy and processes to what you think you know about your business.

Yes, big data means a complete reinvention of your business--if not immediately than shortly. It may be messy and it may require your CEO to wear the brown pants for much of the trip, but reinvention is necessary if it is true competitive advantage that you seek.
Number of views (8395) Article rating: 4.0

Wednesday, December 17, 2014




Big Data and Business Process

If you act on most or all of your big data analysis, odds are that those actions will eventually change how business leaders think and how the business operates. Here is how that works and why it's a great thing to happen!

Most companies turn to big data to understand their customers and improve advertising and marketing investments. It's a great place to start in big data. But in the course of learning who their customers are, how they behave, and what they like, companies inevitably also discover that a few tweaks to their own internal processes can successfully entice customers and increase profits too!
Number of views (9165) Article rating: 5.0

Wednesday, November 19, 2014




Making Data Analytics a Strategic Business Unit

Organizations have the opportunity to derive more value from their data than ever before. There is a wealth of data right at our fingertips and it's not always utilized effectively so making the most of it is something every organization needs to prioritize.
Converting data into actionable insight is not without its challenges. Does your organization have enough relevant data to work with? This is a perception. In most cases, it's not that the data isn't available, it's that the data is not it complete, organized and stored in a way that's consumable.
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