The Not So Secret Cloud Club: How to Get Past the “Cloud Gap”

By Adam Ronthal,

The Not So Secret Cloud Club: How to Get Past the “Cloud Gap”

Three factors that hinder cloud adoption and how you can get past them to reap the benefits of analytics on the cloud

It’s no secret that organizations are using cloud to drive improved revenue growth and higher profit.[1]  And as an IBMer, it’s nice to see that it’s not only IBM that’s seeing this. A recent Aberdeen Group study showed some striking results comparing “best in class” organizations with their industry peers and found the following:

  • 4x faster BI deployment times
  • 50% more users actively engaged with analytics
  • More than 50% increase in users with self-service access to BI

The distinguishing factor for these “best in class” organizations was the use of cloud-based analytics at a 48% higher rate than their industry averages. Interestingly, Aberdeen confirms that these organizations had higher revenue growth and operating profit with lower operating costs for those using cloud options.

So the word is out… cloud makes sense on many levels. We’re all dealing with an increased volume of data, compressed decision time frames, and a greater urgency to get answers and insight. In short, we are being asked to be more agile, so why not adopt a platform designed for ultimate agility?

But despite all of these positive indicators, many organizations are still finding it difficult to make the jump to cloud. For predictive analytics needs, TDWI recently reported that public cloud based infrastructure lags in adoption compared to more  traditional technologies. I call this “The Cloud Gap”. The good news is that it can be addressed!

Adam Blog V1

Source: Predictive Analytics for Business Advantage, TDWI Best Practices Report, First Quarter 2014

The factors that hinder cloud adoption fall into three key areas:

  • Security Concerns
  • Need to support hybrid architectures
  • Data Ingest Difficulties

The first, security concerns require that organizations not only understand what data they are looking to move to cloud, but also choose a reliable trustworthy cloud vendor with deep understanding of security issues. In some cases, it doesn’t make sense to move sensitive data to the cloud; that data can remain on-premises.  For the data that we do move to the cloud, we still want to ensure a secure cloud infrastructure and a secure cloud application design. IBM provides just that with certified SoftLayer data centers and the expertise to develop and deploy cloud-based applications and infrastructure.

Second, most organizations are not moving everything to the cloud. Instead, they are using a hybrid “ground to cloud” approach. This means that the same applications and tools used for on-premises systems should also work with cloud systems. Here again, IBM provides just such tooling with our deep analytics and big data portfolio and fully flexible deployment options. Think of the possibilities when you have portable analytics algorithms that can run both on-premises or in the cloud!

Finally, understanding data ingest requirements and making it easy to ingest data from a variety of sources is critical. IBM brings deep expertise in this area and has brought it to its cloud-based data integration solutions. Or, you can connect the same familiar ETL tools you are already using on-premises to cloud environments.

So why wait? Join the cloud club, and modernize your existing data warehousing architecture. You can start with IBM, and grow up with IBM both on-premises and in the cloud, or wherever your analytic needs take you.

And this club doesn’t have a snooty dress code, secret handshake, or exorbitant initiation fees.  Everyone is welcome!

Let’s connect at IBM Insight in Las Vegas, October 26-30.  There are three sessions I would call out for you to learn more about adopting analytics in the cloud.  I am presenting one of them but will be at all three of them.

  • FTC-4285 – Data Warehousing and Analytics in the Cloud: IBM’s New Data Warehousing Service – Adam Ronthal, Tue Oct 28 (3:00 p.m. – 4:00 p.m.)
  • IWM-4637 – Advanced Warehouse Analytics in the Cloud – Torsten Steinbach Mon Oct 27 (3:30 p.m. – 4:30 p.m.)
  • IDB-6062 – Data Warehousing in the Cloud – a practical deployment guide – Hania El Ayoubi and Michael Kwok, Wed Oct 29 (10:00 a.m. – 11:00 a.m.)

Next steps:

Download the Aberdeen White Paper and see the benefits of cloud adoption!

About Adam,

Adam Ronthal has worked in the technology industry for 20 years in technical operations, system administration, and data warehousing and analytics. In 2006, Adam joined Netezza as a Technical Account Manager, working with some of IBM Netezza’s largest data warehousing and analytic customers and helping them architect and implement their Netezza-based solutions. Today, Adam works in technical marketing for the IBM’s big data, cloud, and appliance offerings. Adam is an IBM Certified Specialist for Netezza, and holds a BA from Yale University.

[1] http://www-03.ibm.com/press/us/en/pressrelease/42304.wss

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