I’m so looking forward to the year ahead in the world of big data and analytics, because the opportunities appear to have no limits. Big Data and Analytics has been growing for quite some time. IDC expects the Big Data Technology and Services market to grow at a 26.24% compound annual growth rate through 2018 to reach $41.52 billion. This is the year that’s going to explode, delivering more benefits to more industries than ever before.
As it becomes more accessible and more common, it is no wonder that some people are starting to say that the term, “big data” may disappear. As data driven decisions become the new norm, we will need a more specific term, or several terms. For those of you who fall strongly in that camp, please feel free to search “big data and analytics” in my blog and replace it with “Clever Cute Name, CCN” until someone comes up with the new term. Okay, back to the fact that this is going to be the new norm. If you need some examples, here are four in IT Services, Healthcare, and Communications industries.
IT Services Industry | Management Science Associates (MSA)
MSA is an IT services company that provides colocation, data integration, and analysis services. They came to MapR and Cisco to build a powerful new service for big data and analytics to help its customers increase revenues and make better business decisions. This case study is an excellent example for anyone looking to understand the importance of data driven decision in the manufacturing and distribution business.
Healthcare Industry | Union Hospital
Today’s healthcare depends on electronic information sharing. Union Hospital of Cecil County came to Cisco and Splunk to ensure fast and secure access to this information. Security Analytics on Cisco UCS with Splunk gave them the visibility into security threats, alleviating the need for the IT team to manually review gigabytes of daily log data from thousands of network devices and servers. With this in place, the focus was on delivering fast access and better customer care.
Union Hospital Case Study
Communications Industry | Cisco WebEx Read More »
Tags: analytics, Big Data, Cisco UCS, Cloudera, data center, Hadoop, Hortonworks, MapR, Platfora, Splunk
Throughout the year, our customers and partners provide feedback to us about their experience doing business with Cisco. We take that feedback very seriously, and are constantly making improvements to address the most common themes we hear and improve the overall experience. In the We’re Listening Blog series, we close the loop to tell you about these improvements and the changes that our customers and partners can expect to see.
One common theme in the feedback is the Services ordering process, so I’ve asked Lars Thorsen, Director, Partner Services, to describe some of the improvements that the Simplify and Optimize Annuity Revenue (SOAR) team has been making in this space over the past year – and what they have planned for this year.
By Guest Author Lars Thorsen
We are constantly looking to simplify our quoting and ordering processes, starting with the improvements you’ve told us you most want to see. We’ve been listening to your feedback via surveys and live forums throughout the year, and we heard you say that the Services ordering process can be “complex and cumbersome” and the Services contract tool, CSCC, is a bit “difficult to use.” More specifically, you told us that it takes too many resources and cycles to interact with CSCC. We wanted to make immediate improvements that would decrease the time it takes to receive a quote for Services. Read More »
Tags: analytics, Big Data, Cisco Partners, Services quotes, SOAR, we-are-listening
Cisco Live Berlin! February 15-19, 2016
Calling all developers, architects, and solution providers—Cisco Live Berlin features the DevNet Zone designed to help you navigate today’s changing application and architecture landscape.
Of particular interest will be the focus on analytics and automation software. As organizations struggle with digital disruption, attention will be drawn to how developers can lead the transformation required by helping:
- Access and aggregate data from everywhere and analyze it anywhere to unlock new insights and enable timely informed decisions.
- Interconnect widely distributed systems of apps, data , and devices to streamline and automate services and processes across your organization and growing partner and vendor ecosystems
- Develop engaging applications that can be easily integrated with your existing apps using our SDKs, including mobile solutions that enable location-aware services and push-to-talk on-prem communications.
Join us for hands-on experience and face-to-face support from our developer teams in the DevNet Zone. We have many in-depth sessions about our vast Analytics and Automation software portfolio, including:
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Tags: #DevNet, analytics, Analytics and Automation, API, DevNet Zone, mobility
Last month, at Cisco’s Internet of Things (IoT) World Forum in Dubai, I had the opportunity to lead a panel discussion on IoT Analytics with a group of my industry peers – each who play a different role within the space. Together, we discussed the unique opportunities and challenges of doing analytics in an IoT environment, as well as what the future holds.
During our panel, a key theme really stood out. The IoT is an area in which there is an impressive amount of industry collaboration among customers and vendors. There isn’t one vendor who can address all IoT challenges with one solution. This is exactly why events like IoT World Forum are so valuable. It brings together collective thinkers in an effort to address collective challenges.
IoT is a great example of a hyper-distributed data environment, meaning that massive amounts of data are being created and in very distributed way. In these types of environments, challenges arise with collecting, storing and analyzing data that can’t be solved with traditional solutions that rely on data to be in a central location before it can be used to derive meaningful insight. To do this in an IoT environment the strategy needs to be reverse engineered; it requires a new approach and the capability to capture, store and analyze data in the place where it is actively created.
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Tags: analytics, internet of things, IoT
Software testing. For a long time, software testing was one of those dark alleys of the software development process. Often ignored, considered as an afterthought, and staffed by “someone else” who did an important job but was outside of the core development process.
Well, that has all changed.
In the SaaS world – especially one governed by continuous delivery – testing is not just an afterthought. It’s a core part of the development process. And like many other engineering processes, there are differing levels of maturity that SaaS development shops can evolve through. In a lot of ways, these different stages of maturity are like Maslow’s hierarchy of human needs. You really, really have to execute on the stuff at the bottom. As you succeed with that you move up to higher levels and achieve greater levels of happiness – in this case through greater quality of software. In the case of testing, each layer is like a filter – each of them catching bugs. The layers at the bottom catch the most basic, easy-to-find bugs. As you go up the stack, the technology helps you catch problems that are rarer and more troubling to identify, reproduce, and fix.
Here is my view on the layers of the hierarchy of SaaS testing needs:
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Tags: analytics, Cisco, collaboration, SaaS, software, Testing