|By Eric Tschetter||
|September 21, 2012 10:00 AM EDT||
It's become increasingly clear that Big Data, and the tools for manipulating, visualizing and analyzing it, are transforming the business landscape. McKinsey released a report in 2011 that projects 40 percent growth in global data generated per year. This is all well and good, but more and more companies are finding that their toolbox for dealing with all of this data is antiquated and confusing.
Indeed, 58 percent of enterprise decision makers surveyed in March 2012 by DataXu felt they lacked the skills and technology required for marketing analytics. Marketers should be chomping at the bit to fruitfully employ the data they have. Successful marketing requires proper segmentation of the customer base to create more targeted campaigns. Real-time insight into the performance of existing campaigns and a clear grasp of where to redirect efforts can also turn a campaign that would have failed into a success. These are the promises made by the drivers of the current "data movement." The unfortunate reality, however, is that the accumulation of data just adds to the costs of an organization as it struggles to merely store the incoming torrent of data, let alone harness it and allow non-technical individuals to explore and understand it.
Luckily, this isn't the first time that industries have experienced this type of problem. The data movement is just like any other one that starts out as a niche interest to a select few people, eventually growing into a commoditized marketplace that competes on usability and ease of access.
Of all metaphors to pick for this process, the restaurant is an apt one. Cooking is something everyone can do. Mix up some batter, put it on a hot skillet, and you'll get pancakes. Add some eggs and a glass of orange juice and you've either got your brain on drugs or a complete breakfast. You can also go to your local IHOP and order the same thing. If you make it yourself, you know everything that's in it and can control the various aspects of the meal. But you also have to deal with acquiring the ingredients, having the facilities to cook, and doing the cleanup. If you go to a restaurant, all you have to do is show up, tell them what you want, and pay.
Similarly, the analytics space has two types of offerings. You can choose to do it yourself or you can use a hosted service to take care of things for you. As with cooking versus going to a restaurant, there are costs and benefits associated with both, but my biased opinion is that a hosted solution is the best choice for tackling the current influx of data.
Economies of Scale
Restaurants provide the benefits of economies of scale to their patrons, allowing customers to consume and enjoy foods that they normally wouldn't be able to at home. High-quality tuna is rather expensive and generally comes in quantities that no individual person could ever consume before it goes bad. Yet, you can go to a sushi restaurant and get various parts of the fish. This is economies of scale in action. The restaurant can afford to put down a significant sum of money to acquire the whole tuna and resell it in pieces to its patrons.
Hosted analytics presents a similar case. A hosted analytics provider is able to pay more money upfront for hardware than any one of its customers would. The reality of data processing is that there are physical limitations to the amount of data a computer can process given a certain amount of time. This problem can only be overcome with more and better hardware.
Because it serves multiple users, a hosted system is actually incentivized to provision enough machines to answer questions quickly. The compute resources are only required for the duration of a query against the system. The faster a query gets answered, the quicker those resources are freed up to answer someone else's query. Responding to queries fast enough to free up resources for the next query is actually the only way to achieve high levels of concurrency. Because the hosted provider is building their business on the idea that multiple customers will share the same infrastructure, they have to support more than just one query at a time and thus are naturally forced to provide their users with a faster querying experience. Economies of scale work to the users' advantage.
Integration of Diverse Data Streams
Another benefit of hosted analytics systems is that they can provide overnight integration with other data sets, both public and private. Taking this back to the restaurant analogy, restaurants add new items to their menu on a regular basis. If they find a supplier that will give them Alaskan king crab for the same price as a lesser form of crab, patrons will all of a sudden start eating better crab without having even known it was coming. The hosted analytics case is similar in that users can take advantage of new data sets that the provider has integrated.
Consider the following scenario. A marketer might normally have access to customer profile and engagement information through their analytics system. Companies like Amazon Web Services offer up data sets from the human genome, the U.S. Census Bureau, and Wikipedia. If a hosted analytics company integrates a public data set like one of these, they can then expose it to all of their clients. This means that if there are 1,000 customers of the hosted offering and only one of them asks for the integration of the public data set, 999 customers get that same integration overnight. All of the participants reap the benefits of having more data sets available. Through the process of overlaying various data streams, marketers can learn more about their customers and their behavior in order to better target their campaigns. This is just one more benefit hosted offerings provide to ensure that companies can maximally leverage the value of their data.
Analytics are only good if they are understandable and actionable, just as restaurants are only good if their food is edible and delicious. There are thousands of ingredients that could be mixed in with fried eggs, but some will taste delicious and some will just result in an inedible concoction. As patrons of many restaurants, we often come to a consensus on what various restaurants do well, personal taste notwithstanding. This knowledge can be employed to eat only the best meals. The same mechanism of collective understanding will play itself out in the hosted analytics space.
Any company that provides hosted analytics to a variety of businesses wants to give its customers only the most useful analytical metrics and functionalities. Marketers may not have the specific training to pinpoint exactly which analysis methods to leverage for maximal effect. That's where the multi-tenant properties of hosted analytics work to your benefit. The hosted analytics provider will be sensitive to which of their tools are providing the most value across their entire customer base. In other words, the individual customers all come together to form a collaborative filter to ensure that the less useful analytics features will be cast aside in favor of those that yield valuable insights. As with the integration of public data sets, this filtering mechanism ensures that benefits cascade throughout the entire system of analytics users. Even for features that do not seem to be immediately relevant to your company's success, as a customer of a hosted provider you can rest assured that once your company turns that corner in its business growth, the hosted provider already knows the kinds of analysis you'll find yourself needing and has the tools available. Newcomers to the platform are thus quickly able to reap the benefits of an analytical toolset that has been vetted by the crowd.
In the past few years, Big Data has exploded in importance. Marketers must learn how to take away useful, actionable insights from the mass of data at their hands in order to create a competitive advantage for their companies. Hosted analytics systems will truly prove themselves to be a staple choice for deciphering the increasing amounts of data that companies have to deal with, just as restaurants are a ubiquitous presence in our current lives.
In closing, we can stretch the restaurant metaphor just a little bit more. In both a restaurant and a home kitchen, there's an able cook who knows how to turn raw ingredients into a delicious meal. Similarly, the future still includes analysts who understand the intricacies of your business. You will, however, achieve much more efficient use of your analyst's time by leveraging the benefits of a hosted analytics provider: improved performance, "free" integration of external data sets, and collaborative vetting of the analytical feature set.
Cultural, regulatory, environmental, political and economic (CREPE) conditions over the past decade are creating cross-industry solution spaces that require processes and technologies from both the Internet of Things (IoT), and Data Management and Analytics (DMA). These solution spaces are evolving into Sensor Analytics Ecosystems (SAE) that represent significant new opportunities for organizations of all types. Public Utilities throughout the world, providing electricity, natural gas and water, are pursuing SmartGrid initiatives that represent one of the more mature examples of SAE. We have s...
Nov. 27, 2014 04:00 PM EST Reads: 1,267
The security devil is always in the details of the attack: the ones you've endured, the ones you prepare yourself to fend off, and the ones that, you fear, will catch you completely unaware and defenseless. The Internet of Things (IoT) is nothing if not an endless proliferation of details. It's the vision of a world in which continuous Internet connectivity and addressability is embedded into a growing range of human artifacts, into the natural world, and even into our smartphones, appliances, and physical persons. In the IoT vision, every new "thing" - sensor, actuator, data source, data con...
Nov. 27, 2014 04:00 PM EST Reads: 1,618
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends: Exposing the device to a management framework Exposing that management framework to a business centric logic Exposing that business layer and data to end users. This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles ...
Nov. 27, 2014 03:00 PM EST Reads: 1,283
The 3rd International Internet of @ThingsExpo, co-located with the 16th International Cloud Expo - to be held June 9-11, 2015, at the Javits Center in New York City, NY - announces that its Call for Papers is now open. The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.
Nov. 27, 2014 03:00 PM EST Reads: 972
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, discussed single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example t...
Nov. 27, 2014 03:00 PM EST Reads: 1,451
An entirely new security model is needed for the Internet of Things, or is it? Can we save some old and tested controls for this new and different environment? In his session at @ThingsExpo, New York's at the Javits Center, Davi Ottenheimer, EMC Senior Director of Trust, reviewed hands-on lessons with IoT devices and reveal a new risk balance you might not expect. Davi Ottenheimer, EMC Senior Director of Trust, has more than nineteen years' experience managing global security operations and assessments, including a decade of leading incident response and digital forensics. He is co-author of t...
Nov. 27, 2014 01:00 PM EST Reads: 1,651
The Internet of Things will greatly expand the opportunities for data collection and new business models driven off of that data. In her session at @ThingsExpo, Esmeralda Swartz, CMO of MetraTech, discussed how for this to be effective you not only need to have infrastructure and operational models capable of utilizing this new phenomenon, but increasingly service providers will need to convince a skeptical public to participate. Get ready to show them the money!
Nov. 27, 2014 11:00 AM EST Reads: 1,263
The Internet of Things will put IT to its ultimate test by creating infinite new opportunities to digitize products and services, generate and analyze new data to improve customer satisfaction, and discover new ways to gain a competitive advantage across nearly every industry. In order to help corporate business units to capitalize on the rapidly evolving IoT opportunities, IT must stand up to a new set of challenges. In his session at @ThingsExpo, Jeff Kaplan, Managing Director of THINKstrategies, will examine why IT must finally fulfill its role in support of its SBUs or face a new round of...
Nov. 27, 2014 10:00 AM EST Reads: 1,214
One of the biggest challenges when developing connected devices is identifying user value and delivering it through successful user experiences. In his session at Internet of @ThingsExpo, Mike Kuniavsky, Principal Scientist, Innovation Services at PARC, described an IoT-specific approach to user experience design that combines approaches from interaction design, industrial design and service design to create experiences that go beyond simple connected gadgets to create lasting, multi-device experiences grounded in people's real needs and desires.
Nov. 27, 2014 08:00 AM EST Reads: 1,220
Enthusiasm for the Internet of Things has reached an all-time high. In 2013 alone, venture capitalists spent more than $1 billion dollars investing in the IoT space. With "smart" appliances and devices, IoT covers wearable smart devices, cloud services to hardware companies. Nest, a Google company, detects temperatures inside homes and automatically adjusts it by tracking its user's habit. These technologies are quickly developing and with it come challenges such as bridging infrastructure gaps, abiding by privacy concerns and making the concept a reality. These challenges can't be addressed w...
Nov. 27, 2014 07:45 AM EST Reads: 1,504
The Domain Name Service (DNS) is one of the most important components in networking infrastructure, enabling users and services to access applications by translating URLs (names) into IP addresses (numbers). Because every icon and URL and all embedded content on a website requires a DNS lookup loading complex sites necessitates hundreds of DNS queries. In addition, as more internet-enabled ‘Things' get connected, people will rely on DNS to name and find their fridges, toasters and toilets. According to a recent IDG Research Services Survey this rate of traffic will only grow. What's driving t...
Nov. 27, 2014 07:00 AM EST Reads: 1,478
Connected devices and the Internet of Things are getting significant momentum in 2014. In his session at Internet of @ThingsExpo, Jim Hunter, Chief Scientist & Technology Evangelist at Greenwave Systems, examined three key elements that together will drive mass adoption of the IoT before the end of 2015. The first element is the recent advent of robust open source protocols (like AllJoyn and WebRTC) that facilitate M2M communication. The second is broad availability of flexible, cost-effective storage designed to handle the massive surge in back-end data in a world where timely analytics is e...
Nov. 27, 2014 06:45 AM EST Reads: 1,308
Scott Jenson leads a project called The Physical Web within the Chrome team at Google. Project members are working to take the scalability and openness of the web and use it to talk to the exponentially exploding range of smart devices. Nearly every company today working on the IoT comes up with the same basic solution: use my server and you'll be fine. But if we really believe there will be trillions of these devices, that just can't scale. We need a system that is open a scalable and by using the URL as a basic building block, we open this up and get the same resilience that the web enjoys.
Nov. 27, 2014 06:45 AM EST Reads: 1,369
We are reaching the end of the beginning with WebRTC, and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) i...
Nov. 27, 2014 04:00 AM EST Reads: 1,210
"Matrix is an ambitious open standard and implementation that's set up to break down the fragmentation problems that exist in IP messaging and VoIP communication," explained John Woolf, Technical Evangelist at Matrix, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
Nov. 27, 2014 04:00 AM EST Reads: 1,162
P2P RTC will impact the landscape of communications, shifting from traditional telephony style communications models to OTT (Over-The-Top) cloud assisted & PaaS (Platform as a Service) communication services. The P2P shift will impact many areas of our lives, from mobile communication, human interactive web services, RTC and telephony infrastructure, user federation, security and privacy implications, business costs, and scalability. In his session at @ThingsExpo, Robin Raymond, Chief Architect at Hookflash, will walk through the shifting landscape of traditional telephone and voice services ...
Nov. 26, 2014 02:00 PM EST Reads: 1,605
Explosive growth in connected devices. Enormous amounts of data for collection and analysis. Critical use of data for split-second decision making and actionable information. All three are factors in making the Internet of Things a reality. Yet, any one factor would have an IT organization pondering its infrastructure strategy. How should your organization enhance its IT framework to enable an Internet of Things implementation? In his session at Internet of @ThingsExpo, James Kirkland, Chief Architect for the Internet of Things and Intelligent Systems at Red Hat, described how to revolutioniz...
Nov. 24, 2014 07:00 PM EST Reads: 1,714
Bit6 today issued a challenge to the technology community implementing Web Real Time Communication (WebRTC). To leap beyond WebRTC’s significant limitations and fully leverage its underlying value to accelerate innovation, application developers need to consider the entire communications ecosystem.
Nov. 24, 2014 12:00 PM EST Reads: 1,614
The definition of IoT is not new, in fact it’s been around for over a decade. What has changed is the public's awareness that the technology we use on a daily basis has caught up on the vision of an always on, always connected world. If you look into the details of what comprises the IoT, you’ll see that it includes everything from cloud computing, Big Data analytics, “Things,” Web communication, applications, network, storage, etc. It is essentially including everything connected online from hardware to software, or as we like to say, it’s an Internet of many different things. The difference ...
Nov. 24, 2014 11:00 AM EST Reads: 1,737
Cloud Expo 2014 TV commercials will feature @ThingsExpo, which was launched in June, 2014 at New York City's Javits Center as the largest 'Internet of Things' event in the world.
Nov. 24, 2014 09:00 AM EST Reads: 1,775