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  • admin 9:51 am on December 19, 2017 Permalink
    Tags: Boosting, , , , Smart   

    Smart Cities 2.0 — Boosting Citizen Engagement 

    Latest imported feed items on Analytics Matters

  • admin 9:51 am on April 3, 2017 Permalink
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    Making Smart City projects smarter with Smart Organisations 

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  • admin 9:52 am on February 23, 2017 Permalink
    Tags: , , Homelessness, , Smart, ,   

    Predicting Homelessness: The Smarter Tech Behind Smart Cities 

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  • admin 9:52 am on September 14, 2016 Permalink
    Tags: Alles, Daten, Ende, , , ohne, Smart, vernetzt   

    Alles vernetzt alles smart und Daten ohne Ende das Internet of Everything 

    Teradata Podcasts

  • admin 9:59 am on September 2, 2016 Permalink
    Tags: , , , , Smart, Text   

    Text Data Analytics In Service of Smart Government 

    Teradata White Papers

  • admin 10:34 am on May 10, 2016 Permalink
    Tags: , , , Smart   

    San Diego Smart City Hackathon 

    Organized by the UCSD Center for Wireless Communications, the Silent Intelligence and the team at the City of San Diego will crowdsource the most innovative technology solutions from the San Diego tech community to help the City deliver on its Climate Action Plan.
    Teradata Events

  • admin 9:51 am on April 24, 2016 Permalink
    Tags: , Smart, , Trash   

    Trash Talking Smart Cities And The IoT 

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  • admin 9:51 am on December 12, 2015 Permalink
    Tags: Fields, Smart, Socks   

    Smart Socks And Smart Oil Fields 

    With so many Kickstarter campaigns seeming to take a dumb thing, put a chip in it, and call it a smart thing, it’s hard to take the modern Internet of Things (IoT) seriously. For us veterans of the Oil and Gas industry, there’s a whiff of déjà vu about IoT.

    Haven’t we been doing this for years already? What’s so new about embedding electronic control and measurement devices in equipment, and connecting them over some form of network in order to provide automation and remote control? We’ve been implementing this over the decade or so under various labels – the Digital Oil Field of the Future, Intelligent Oil Field, eField (doesn’t that name date us?), Integrated Operations, even Smart Field?

    I like to think our vision for IoT in the Oil Industry is loftier than a smart water bottle or smart socks. We use technology for a higher purpose – like minimizing risk to human and environmental life, using ROVs for subsea installations and maintenance instead of human divers, autonomous inspection vehicles to monitor integrity of subsea installations and pipelines, and permanently installed environmental monitoring systems to check for leaks or contamination.

    But that doesn’t mean we can’t learn from the current IoT obsession. We might have been one of the first to start to make our worlds smart, but we haven’t implemented the full vision yet.

    We have done a lot of the difficult, expensive, technical groundwork deploying sensors everywhere – downhole pressure and temperature sensors, flow meters, condition monitoring on every piece of topside equipment, permanent ocean bottom seismic solutions, and more recently downhole fiber to be used for DTS and DAS. Using whatever network technologies were available – umbilicals, subsea acoustic wireless, 4G, satellites, trenched fibre cables from offshore platform to land – we have brought the data back to the office. And we have implemented some very cool, highly connected reporting.

    Reporting has its value. Especially when you are reporting onshore things that are taking place offshore on a platform, or even a few kilometres underground. Coupled with onshore operations rooms with always-on webcams, it allows onshore experts to be highly connected with offshore work.

    Still, there’s a world of difference between reporting and analysis. One succinct way to think about it is:

    Reporting shows you what is happening while analysis focuses on explaining why it is happening and what you can do about it.

    Today, experts sitting in onshore offices are combining this report data (canned reports, dashboards, alerts) in their heads , and using background knowledge and gut feel to determine what actions to take.

    Anyone who has read Daniel Kahneman’s bestseller Thinking Fast and Slow knows that System 1 thinking (a.k.a. “gut” thinking) is inferior to System 2 thinking (conscious, deliberate analysis) in many situations because of our unconscious but very real cognitive biases. We remember things that didn’t actually happen, trust information from people we like more than from people we don’t, look for information that confirms what we already think. And this is the best case when the onshore expert is highly qualified, highly experienced, and had a good night’s sleep.

    Surely we would do better to make our expensive, often life-critical decisions through conscious, deliberate analysis (System 2). To do that, we need to be able to analyse all the data – not just the data shown on our dashboards.

    Let me explain. Lots of equipment in Oil & Gas operates outside of specification – who else would subject their machines to the freezing cold of the Arctic or the searing heat of the arid desert? We joke that the “alert override” key is so well-used, it has no letter left on it!

    So how can we tell if a sensor reading indicates a problem? On its own, a sensor reading can’t help us identify if it’s an emergency, or whether we need to schedule maintenance now to prevent a possible shut-in later. But when we compare that reading with historical data on that part, or data on how that same part has performed in different oil fields, we can truly understand what’s happening now – and decide what needs to be done about it. Data from other oilfields, historic data, forecast and planning data, financial data, logistics data, gives our IoT data context.

    In Oil and Gas, we can congratulate ourselves on being ahead of the curve with our own implementation of IoT. But until we start analyzing the patterns and outliers in all the data – adopting an Analytics of Things mindset – our fields – and our companies – won’t be as smart as we like to think they are.

    This post first appeared on Forbes TeradataVoice on 09/11/2015.

    The post Smart Socks And Smart Oil Fields appeared first on International Blog.

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  • admin 9:52 am on August 20, 2015 Permalink
    Tags: , , , , , Smart,   

    Is Great Customer Service The Ultimate Insurance For Smart Brands? 

    css_logo_f_publicWhen you sell a product your customers can find elsewhere, is there any way to ensure they’ll turn to you, instead of your competition, when the time comes to make a purchase? Ultimately, that’s the challenge every commodity-based business faces: What can you do to make sure your brand is the clear first choice when other options are available?

    For The CSS Group, a leading insurance provider headquartered in Lucerne, Switzerland, standing out from the crowd is key to their success.

    “If you are in a business like we are, where the products are commodity, you need other differentiators than the product—and that’s service,” says Volker Schmidt, CSS’s CIO and CMO.

    As the market leader in basic insurance, one of the top insurers for corporate institutions and a leader in health, accident and property insurance, CSS is clearly doing something right for its 1.77 million customers –and they’re using data to build that value.

    “To enhance customer service, you need data,” explains Schmidt. “If you don’t have any data, you don’t know –it’s like you driving a car blind.  If you don’t have the data, all you can do is think –you can manage by emotions, but not by facts. I like to combine emotions with facts because it gives you much more power.”

    In 2012, CSS created a “Process House” to shine a bright light on each one of the company’s direct and indirect customer processes –from sales, claims and billing to call centers, texts and web. The goal was to improve each interaction and foster greater satisfaction and loyalty among existing clients. From the client’s perspective, this is customer experience management. From CSS’s perspective, it’s about process and quality management… and driving revenue. After all, when CSS improves each step/interaction, the company improves the brand and increases customer satisfaction.

    To gather and analyze all the valuable process feedback, Teradata Unified Data Architecture and Teradata Integrated Marketing Cloud became necessities for the team at CSS.

    Here’s an example to illustrate my point:

    CSS uses Teradata’s solutions to calculate client churn and to gain insight into the factors behind that churn. If a client has a potentially high churn rate, CSS proactively contacts them to learn how they can recover their confidence and earn their ongoing business. The Integrated Marketing Cloud played an essential role in helping CSS’s marketing organization define more than 20 life events that enabled them to be more responsive to, and aware of, their customer needs.

    This data driven marketing approach not only leads to increased customer retention, but also customer acquisition through enthusiastic recommendations to friends and family. CSS understands that the more satisfied customers are, the stronger the CSS brand grows –and Teradata has been a trusted partner in achieving those brand goals for nearly 20 years now.

    To learn more about how The CSS Group is on track to be best-in-class by 2018, check out this video on the power of data-driven customer service.

    The post Is Great Customer Service The Ultimate Insurance For Smart Brands? appeared first on Teradata Applications.

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  • admin 9:53 am on August 9, 2015 Permalink
    Tags: , , , Smart   

    Smart Cities: How Do I Know When My City Is Smart? 

    A report published at the start of July revealed “widespread ignorance of the UK’s efforts to smarten up its cities.” The clear focus of the report is on public awareness and perception of smart initiatives and the elusive Smart City itself. The authors go on to suggest that without the proper support, initiatives will “die on their feet”. I have just one problem with that. I simply don’t believe it.

    In the vast majority of cases, Smart City initiatives are already underway in well established, densely populated existing cityscapes (brownfield reclamations like Aspern, Vienna excepted, admittedly). I’m talking about projects such as low-energy street lighting; automated parking space finder schemes; energy-efficient, climate controlled offices and apartments; single-sign-on access to local authority portals; etc.


    Doesn’t sound familiar, you say? A little clunky? What about Smart Lighting; Smart Parking; Smart Buildings; Smart Government? Ah, yes…

    So back to my point about not believing these initiatives will ever “die on their feet”. Individually, all these things can be called something far simpler: progress. The natural evolution of things. It’s how cities have worked since there were cities. The Romans invented Smart Sanitation when they perfected plumbing and gave people an alternative to throwing effluent out of their windows. Speaking of windows, there was a time when the Smart Window was the coolest thing on the block. You know, the one that filled in the previously open hole with a see-through material that kept the wind out. Genius, that one.

    So if today’s Smart Initiatives are just a convenient name for things that were going to happen anyway, is it any surprise that citizens don’t really have a strong perception of efforts to “smarten up” their cities? I think not.

    On the flipside though, is there anything that does actually deserve the title “Smart”? And come to think of it, what exactly is a Smart City?

    Only one thing really makes a Smart City: integration. Without bringing together all the initiatives, a Smart City is nothing more than a way to sell a vision that justifies some grant funding. And that’s just not enough. But, when we add integration to the mix, we can start to deliver additional value from all those initiatives we’ve been talking about. Now, the benefit of all those individual projects will be greater than the sum of their parts. And that’s smart.

    Let’s consider a few examples in just one area. We can call them Smart Energy for now. Smart Energy could mean a lot of things. It could mean integrating data about your home energy usage with your electric vehicle energy usage. There are lots of additional benefits to be had right there, for you; for the community; for the environment. New tariffs to suit your individual usage; incentives to use more energy from renewables; opportunities to use your electric vehicle’s spare capacity – either for your home or to sell back to the grid.

    Next, we could integrate data about your wider energy footprint: when you take public transport; when you’re at work; when you’re at city events. This could lead to an overall ‘Energy Profile’ that could win you discounts; make you an attractive client for competitive suppliers and new offers; or lead to tailored, specific tips on how to do even better, saving more money and contributing more to your Smart City.

    What if we then integrated energy data with Local Government data to better understand the energy efficiency of your home? You might be eligible for grants to improve insulation. The Local Government could better manage short-term aid and long-term construction plans.

    Our broad Smart Energy concept could also mean integrating data from the energy profiles of people you care about. With their permission, you could monitor usage of elderly relatives or students taking their first tentative steps away from the nest, setting alerts for unusual activity or when a certain level of spend has been reached. Now, doesn’t that sound smart?

    These examples all take advantage of a series of individual initiatives such as Smart Meters & the Smart Grid; Electric Vehicles; Geolocation Services; Smart Government and the like. A few of those have benefits in themselves. But when we get really smart – and when our cities will get smart – is when we integrate the data from each of those individual projects to provide a greater whole. Now that isSmart.

    In my next blog, I’ll get just a little more technical and talk about some of the ways we can deliver integration through the Internet of Things (IoT) to make our Smart Cities a reality.

    This blog first appeared on Forbes TeradataVoice on 29/07/2015

    The post Smart Cities: How Do I Know When My City Is Smart? appeared first on International Blog.

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