Category Archive

Big Data Cloud

Cloud Build or Buy? Answers for the Enterprise

In today’s fast-paced world, organizations must constantly adapt and innovate to maintain their competitive advantage. Cloud computing has revolutionized the technological landscape, allowing companies to “rent” time on online services without having rapidly-obsolescing hardware on-site. Nowhere…

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Last week we looked at industry trends that have contributed to the creation of market demand for public cloud solutions, what’s in the cloud analytics stack and Amazon integration pairs. If you missed it, check out part one first.

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Today’s leading cloud platforms include numerous components for storing, processing and analyzing large volumes of data.  All the basics are there: storage, analysis and processing, streaming data processing, data pipelining, data warehousing, BI and even AI. But while it’s great to have all those raw components, how do you tie them together into a comprehensive architecture? While the parts are great, they still must be assembled into the whole.

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While IDC forecasts tremendous payback from cloud investments and spending is estimated to grow at more than six times (17%) the rate of general IT spending (4%) through 2020, adoption forecasts are a little less clear — McKinsey reports that it hovers around 20 percent. Suffice it to say enterprises are taking their time, and for good reason, but it also means they’re stuck with environments and processes that are less than efficient until they adequately plan and execute their cloud transformation. It also means they’re giving the competition an advantage and risking higher support costs when business units go out on their own and buy cloud services.

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Many CEOs see Artificial Intelligence (AI) and Machine Learning (ML) as a key component to gaining competitive advance in their respective marketplaces. A 2017 survey of Fortune 500 CEO’s found that 81% of the respondents listed AI/Machine Learning as a “critical area of investment”, ranking just behind Cloud and Mobile Computing (91% and 86% respectively).

Six Key Characteristics of a “Cloud-native” Platform

With the Cloud platform software market expected to reach $90 billion by 2020, even the largest and most conservative organizations are moving some or all of their analytics to the Cloud. According to the Gartner 2017 Magic Quadrant Business Intelligence and Analytics Platforms report:

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The cloud computing revolution has changed technology, and how businesses use it. It’s made for unprecedented levels of agility and flexibility in the use of, and budgeting for, technology. It’s lowered barriers to entry, it’s leveled the proverbial playing field and it’s also pressured organizations to accelerate their adoption of technology in order to stay competitive. But you knew all that.