Welcome!

Recurring Revenue Authors: Elizabeth White, Pat Romanski, Yeshim Deniz, Liz McMillan, Xenia von Wedel

Related Topics: @CloudExpo, Java IoT, Microservices Expo, Containers Expo Blog, Machine Learning , Apache

@CloudExpo: Blog Feed Post

Big Data Conundrum: Show Me the Money!

To glean value from Big Data efforts, companies need to embrace the real-time value provided by the cloud

Inventory levels. Sales results. Negative comments on Facebook. Positive comments on Twitter. Shopping on Amazon. Listening to Pandora. Online search habits. No matter what you call it or what the information describes, it’s all data being collected about you.

Thanks to new technologies like Hadoop, once-unquantifiable data (like Facebook conversations and Tweets) can now be quantified. Now, because nearly everything is measurable, everything is measured. The result: companies are spending big dollars to collect, store and measure astronomical amounts of data.

Show me the data!

There’s a name for this movement: Big Data. Not only is it a name, it has been the “it, it” of 2012, possibly trumping “the cloud.”

IDC defines Big Data as projects collecting 100 terabytes of data (hence the name), comprising two or more data formats. Earlier this year, the research firm predicted the market for Big Data technology and services will reach $16.9 billion by 2015, from $3.2 billion in 2010. That’s an astounding 40 percent annual growth rate.

The interesting thing is that IDC expects most of this spending to focus on infrastructure — the plumbing that enables companies to download, collect and store vast amounts of data.

To me, this is a missed opportunity. Why? We need to focus on unlocking the real business benefits from all this data.

Companies have not yet grasped the business potential of all the data pouring in from hundreds of sources—think apps in the cloud, on-premise partner software and from their own enterprise. In effect, businesses haven’t figured out how to make money from this fire hose of disparate data sources.

My point-of-view is that Big Data’s only real value lies in businesses’ ability to transform data into insight they can act on.

This means enabling sales managers to quickly analyze sales reps’ results, view new contracts lost or signed, and react to how actual performance compares against the plan they set months earlier. Help-desk staff could see how individual customers affect sales and profit, showing them when to go above-and-beyond to retain certain customers while allowing low-flyers to churn. Or helping insurance agents to predict kinds and amounts of damage as hurricanes hurtle toward their region.

Steps to Monetize Big Data
To glean value from Big Data efforts, companies need to embrace the real-time value provided by the cloud. Viewing one’s data in real-time through the lens of cloud computing enables anyone, in any company, to make smart business decisions from the mammoth amounts of data, coming from all over the place.

Therefore, companies looking to monetize Big Data need to take these steps:

Use the cloud: These days businesses can tap into an enormous range of cloud services. They can subscribe to high-performance infrastructure services like Amazon Web Services, rent platforms as a service (comprising hardware, operating systems, storage and network capacity) from salesforce.com, store information in services like Box or automate billings with companies like Zuora. These are just examples.

Companies can also pick and choose from a long list of cloud-based apps to handle business tasks, from customer relationship management and marketing to human resources and financial management. In fact, I would argue that cloud services become the business application suite, eventually displacing behemoth on-premise packages from SAP or Oracle. Emphasis on “eventually,” since few enterprises are ready to jettison their million-dollar investments in Oracle and SAP.

For this reason, I advise companies to:

Start with what’s important: Forget about separate data sources. Data today spews in from hundreds sources, be it sales and customer data from salesforce.com, inventory levels from SAP, logistics information from your suppliers and employee data from Oracle. Companies run into trouble when they start off boiling the ocean, which is why I suggest companies begin with a few sources and then build up from there.

Fortunately, there is a way, thanks to a new generation of application programming interfaces (APIs) that allows more kinds of software, from different software makers, to communicate with each other, regardless of location. As a result, any company, regardless of size, can access the data it needs to make better decisions.

Which is why my next point is:

Make Big Data insight democratic: Five years ago, only executives at very large companies had access to business intelligence tools that culled patterns from data.

The cloud makes everything democratic — not just access to the data itself, but the insight as well, including best practices that don’t require the expertise of a SQL or a MapReduce programmer. The cloud enables anyone, anywhere, to recognize patterns from data and make smart decisions, faster. And that means any business professional, at any company should be able to monetize their Big Data.

When Big Data finally becomes useful to the rest of us, and not just IT wizards, it will take on an even larger role today and into tomorrow.

Read the original blog entry...

More Stories By Roman Stanek

Roman Stanek is a technology visionary who has spent the past fifteen years building world-class technology companies. Currently Founder & CEO of Good Data, which provides collaborative analytics on demand, he previously co-founded first NetBeans, now a part of Sun Microsystems and one of the leading Java IDEs, and then and Systinet, now owned by Hewlett-Packard and the leading SOA Governance platform on the market.

@ThingsExpo Stories
"MobiDev is a software development company and we do complex, custom software development for everybody from entrepreneurs to large enterprises," explained Alan Winters, U.S. Head of Business Development at MobiDev, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
I think DevOps is now a rambunctious teenager - it's starting to get a mind of its own, wanting to get its own things but it still needs some adult supervision," explained Thomas Hooker, VP of marketing at CollabNet, in this SYS-CON.tv interview at DevOps Summit at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
Recently, WebRTC has a lot of eyes from market. The use cases of WebRTC are expanding - video chat, online education, online health care etc. Not only for human-to-human communication, but also IoT use cases such as machine to human use cases can be seen recently. One of the typical use-case is remote camera monitoring. With WebRTC, people can have interoperability and flexibility for deploying monitoring service. However, the benefit of WebRTC for IoT is not only its convenience and interopera...
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...
It is of utmost importance for the future success of WebRTC to ensure that interoperability is operational between web browsers and any WebRTC-compliant client. To be guaranteed as operational and effective, interoperability must be tested extensively by establishing WebRTC data and media connections between different web browsers running on different devices and operating systems. In his session at WebRTC Summit at @ThingsExpo, Dr. Alex Gouaillard, CEO and Founder of CoSMo Software, presented ...
WebRTC is great technology to build your own communication tools. It will be even more exciting experience it with advanced devices, such as a 360 Camera, 360 microphone, and a depth sensor camera. In his session at @ThingsExpo, Masashi Ganeko, a manager at INFOCOM Corporation, introduced two experimental projects from his team and what they learned from them. "Shotoku Tamago" uses the robot audition software HARK to track speakers in 360 video of a remote party. "Virtual Teleport" uses a multip...
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at Cloud Expo, Ed Featherston, a director and senior enterprise architect at Collaborative Consulting, discussed the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine.
IoT is rapidly becoming mainstream as more and more investments are made into the platforms and technology. As this movement continues to expand and gain momentum it creates a massive wall of noise that can be difficult to sift through. Unfortunately, this inevitably makes IoT less approachable for people to get started with and can hamper efforts to integrate this key technology into your own portfolio. There are so many connected products already in place today with many hundreds more on the h...
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be...
Detecting internal user threats in the Big Data eco-system is challenging and cumbersome. Many organizations monitor internal usage of the Big Data eco-system using a set of alerts. This is not a scalable process given the increase in the number of alerts with the accelerating growth in data volume and user base. Organizations are increasingly leveraging machine learning to monitor only those data elements that are sensitive and critical, autonomously establish monitoring policies, and to detect...
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settl...
In his session at @ThingsExpo, Dr. Robert Cohen, an economist and senior fellow at the Economic Strategy Institute, presented the findings of a series of six detailed case studies of how large corporations are implementing IoT. The session explored how IoT has improved their economic performance, had major impacts on business models and resulted in impressive ROIs. The companies covered span manufacturing and services firms. He also explored servicification, how manufacturing firms shift from se...
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of bus...
The Jevons Paradox suggests that when technological advances increase efficiency of a resource, it results in an overall increase in consumption. Writing on the increased use of coal as a result of technological improvements, 19th-century economist William Stanley Jevons found that these improvements led to the development of new ways to utilize coal. In his session at 19th Cloud Expo, Mark Thiele, Chief Strategy Officer for Apcera, compared the Jevons Paradox to modern-day enterprise IT, examin...
IoT solutions exploit operational data generated by Internet-connected smart “things” for the purpose of gaining operational insight and producing “better outcomes” (for example, create new business models, eliminate unscheduled maintenance, etc.). The explosive proliferation of IoT solutions will result in an exponential growth in the volume of IoT data, precipitating significant Information Governance issues: who owns the IoT data, what are the rights/duties of IoT solutions adopters towards t...
Amazon started as an online bookseller 20 years ago. Since then, it has evolved into a technology juggernaut that has disrupted multiple markets and industries and touches many aspects of our lives. It is a relentless technology and business model innovator driving disruption throughout numerous ecosystems. Amazon’s AWS revenues alone are approaching $16B a year making it one of the largest IT companies in the world. With dominant offerings in Cloud, IoT, eCommerce, Big Data, AI, Digital Assista...
Organizations planning enterprise data center consolidation and modernization projects are faced with a challenging, costly reality. Requirements to deploy modern, cloud-native applications simultaneously with traditional client/server applications are almost impossible to achieve with hardware-centric enterprise infrastructure. Compute and network infrastructure are fast moving down a software-defined path, but storage has been a laggard. Until now.
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Digital Transformation is much more than a buzzword. The radical shift to digital mechanisms for almost every process is evident across all industries and verticals. This is often especially true in financial services, where the legacy environment is many times unable to keep up with the rapidly shifting demands of the consumer. The constant pressure to provide complete, omnichannel delivery of customer-facing solutions to meet both regulatory and customer demands is putting enormous pressure on...