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Is SaaS Data Analytics Right for You? | 7wData

Last updated: 07-11-2018

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Is SaaS Data Analytics Right for You? | 7wData

Is SaaS Data Analytics Right for You?
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Your company needs a data analytics platform. Or, you’re considering alternatives to your current platform. Either way, you’re reading this blog because you want more insight from more data, and you want it faster, easier and with the highest value. Here’s the first question you must ask: On-premises or SaaS?
If you’re leaning toward an on-premises solution, first consider the following questions:
Your IT team is no doubt highly qualified. But do they really have the experience necessary to deploy an on-site analytics platform from the ground up? In addition to understanding SQL databases, they’ll also need a strong background in data architecture.
Even if your team has the right mix of skills and knowledge, do they actually have the capacity to manage the intricacies of an on-premises solution? If so, is that really the best use of their time? What other higher-value activities could they pursue instead? database and application administration, security and troubleshooting can prevent you from focusing on delivering advanced analytics that separate contenders from competitors.
Why Business Intelligence and Design Theory Must Merge
How rapidly does your company plan to scale its storage and compute requirements? Like most organizations, will you access the broad and deep insights that lay waiting in the exponential growth of data generated by your website activity, mobile apps and other log and machine-generated data? Today’s data requires organizations to fluctuate at a moment’s notice.
Adapting an on-premises analytics platform to your increasing data needs can be a struggle. Scaling storage and compute up, down and out (concurrency) brings all sorts of headaches with on-premises solutions and is nearly impossible to accomplish on the fly.
By contrast, a modern and instantly elasticSaaS solutioncan make fluctuations in compute and storage – by the hour, minute or second – standard practice and a viable opportunity for your business. Monday morning usage peaks and end-of-month reporting periods require greater data and processing power than most nights and weekends. Rather than investing in additional infrastructure as data needs change, the SaaS model provides scalability that aligns with the rhythm of your business.
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