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Is Your Big Data Going to Waste?

Everyone is talking about the amazing insights big data can deliver, but simply having massive collections of data isn’t enough. Having big data without the ability to process it efficiently and properly is like having a warehouse full of ingredients but no ovens in which to create delicious products.

Big data should earn its keep, and it can’t do that in organizations without access to powerful processing capability.

Organizations that pursue big data strategies know that big data can drive real, positive bottom-line results, but they may not have the processing capacity necessary to get the kind of value that big data promises.

Big Data Utilization Rates

Results from The CMO Survey published in 2013 indicated that only 30% of marketing projects were able to use big data analytics to full advantage, despite spending more on big data with each passing year. Christine Moorman, Director of The CMO Survey and Professor of Business Administration at Duke University, lists several reasons for low utilization rates of big data.

For one thing, results of big data analytics may be too slow in arriving, only becoming available after a decision-making window closes. For another, organizations that have hopped on the big data bandwagon may have done so without a big data strategy in place that would ensure higher utilization rates.

In some cases, users of big data simply lack sufficient training to understand the analytic tools available to them. They may not realize that there are affordable cloud options for processing big data available now. And if they do have the necessary hardware or cloud processing availability for doing powerful big data analytics, they may not realize how they can use big data analytics to enter new markets or compete in new ways.

How Companies Increase Big Data Utilization

A recent VoltDB survey found that most organizations polled were unable to utilize the majority of the big data they collect, leading to a “big data divide” where despite having large data collections they’re unable to translate it into bottom-line benefits to their business. Short-term fixes have proven inadequate, and some businesses surveyed reported they had abandoned some big data projects altogether due to lack of processing capability.

Companies may attempt to overcome deficiencies by caching data, while some adopt batch extract-load-transform (ETL) processes to move data. ETL is what is done to big data collections to make them usable with various analytic techniques. Many businesses have expressed hope that over the next few years, in-memory databases will become mainstream, allowing for better analytics capabilities and faster insights. But there are solutions available right now that organizations can use to get more value out of their big data.

Making Your Big Data Deliver

Leading big data software provider Syncsort offers Ironcluster Hadoop ETL, which makes it easier for businesses and other organizations to collect, process, and distribute big data, whether in an on-premises or virtual environment. Difficulty of collecting and processing big data limits the insights companies can get from their data, and the Ironcluster Hadoop ETL directly addresses that problem, allowing organizations to take full advantage of big data, with a small computational footprint in a fast, low-overhead, scalable architecture.

Benefits of Ironcluster Hadoop ETL include:

• Quick deployment in minutes, with no dependency on third-party apps

• Ability to run in physical or cloud environments

• Easy integration with private or public cloud environments

• No coding required

Being able to run applications economically and efficiently is the key to getting the most out of big data collections, and Ironcluster Hadoop ETL allows precisely that.

Conclusion

Big data doesn’t deliver value if it just sits there. However, many organizations don’t realize there are now tools available that let them collect, extract, and process big data and gain valuable, actionable insights from it without a major capital investment in IT infrastructure. Syncsort offers Ironcluster Hadoop ETL, a fast, secure big data solution using a Hadoop framework in on-premises and cloud environments. Ironcluster Hadoop ETL enables clients to not only collect, but process and distribute more data in less time, at a lower cost, and with fewer resources.

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