This quote by Philip Howard, author of the Bloor Research paper, “Big Data and the mainframe,” reminds me of a well-known proverb: “The more things change, the more they stay the same.”

While the discussion around Big Data has changed from the management of the volume, variety and velocity of data to creating value with it, businesses still need a way to manage massive execution of jobs on heterogeneous infrastructure while incorporating new technologies where all that data resides.

As what organizations do with Big Data evolves, are they set up to repeat the sins of the past? It doesn’t have to be that way: here’s why.

Focusing on value creation

CA Technologies is creating new innovations in Big Data with its demonstration of CA Big Data Infrastructure Management (BDIM) to complement our strength and management of data center infrastructures.

Our vision enables organizations to manage their infrastructure by providing a single, unified view of their Big Data landscape, allowing them to focus on value creation from Big Data environments. This leaves businesses in a much better position to support line of business Big Data users wherever the data resides: mainframe, cloud or sensors, while also ensuring expected revenue from high profile Big Data initiatives is achieved.

Big Data is everywhere and it touches the entire data center from mobile to mainframe and from public clouds to private clouds Eighty percent of the data that most companies use today is structured data. Yet 80 to 90 percent of data that organizations have today is unstructured. Think about the potential business value of the majority of data your company is missing out on.

That’s why our goal is to make it easy to enable Big Data ecosystems so organizations can focus on value creation via analytics. In an environment that is complex, confusing and has the potential to create an infrastructure nightmare, the solution has to be holistic.

By bringing these new innovations to market we’re helping businesses get faster, deeper insight, allowing them to capture information, make informed decisions and deliver the best possible end-user experience.

Addressing old pain points

As Howard points out in his research, businesses today are facing similar issues around Big Data deployments that they did in the past: These include:

• The requirement of high or continuous availability for business critical functions
• The need to reduce complexity in a variety of areas, including multiple sources of data in a variety of formats, such as relational data, social media, clickstream data, machine-generated data and spreadsheets
• The requirement of expensive skills that are in short supply
• The need to integrate with business process management and business rules management software to enable big data to be embedded into automated business processes and applications
• The need for governance, compliance and security of data

Meeting your Big Data needs

CA is creating a portfolio of Big Data Management solutions that address the above issues in the following ways:

• Improving staff productivity and accuracy
• Managing Big Data environments with ease
• Not requiring additional or specialized headcount
• Reducing risk and redundancy as well as eliminating downtime
• Automating mission-critical business processes.

Big changes ahead

Without Big Data Management in place, costs can potentially increase, efficiency will be reduced and siloed applications will cause problems like they did in the past. Initiatives will lose steam and businesses will be at a competitive disadvantage.

Even more than ever in the era of the Internet of Things, businesses need data management in place to be able to take advantage of knowing their customers better and increasing operational efficiency.

We’ve only touched the tip of the iceberg when it come to analysis of Big Data – according to industry analysts, only 1 percent of the world’s data is currently analyzed.

As we enter into this new chapter, we may not have all the answers, but at least we can try to work on the issues we’ve been dealing with in the past and the present. CA Technologies vision of BDIM will be on display at the Gartner Business Intelligence & Analytics Summit, March 30 through April 1, 2015 in booth 525 in Las Vegas. I’d love to hear from you if you plan to be there.

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