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  • admin 9:51 am on November 24, 2017 Permalink
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    It all Started with ‘CARE’ – Reasons to Pay it Forward 

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  • admin 9:52 am on February 17, 2017 Permalink
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    Business Reasons for Analytics 

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  • admin 9:46 am on February 19, 2016 Permalink
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    3 reasons why people, not robots, are key to data science 

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  • admin 9:51 am on January 28, 2016 Permalink
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    4 Reasons to Consider the Cloud 

    by Brian Wood

    It’s a fact: Cloud solutions are here to stay. These services can enable organizations to disrupt traditional paradigms in favor of new ways of creating value. As a result, companies are reviewing their IT and data management strategies to identify where and how the cloud should play a role.

    Considerations can include board-level mandates, strict cash flow requirements, staffing limitations, a need for greater flexibility or simply a demand for higher service levels. However, it’s also important to keep in mind that the cloud is not the answer to all problems. Multiple business and technical drivers are at work with cloud services, and they should all be evaluated to ensure the solution you choose meets your specific needs.

    Here are four benefits to consider:

    1. Easy on the Budget

    The large capital expenditures (CapEx) required for traditional IT projects can be a significant roadblock to actually getting those projects implemented. The cloud’s subscription-based pricing removes the barrier by eliminating the need to purchase and maintain an expensive infrastructure.

    CFOs, controllers and other finance executives appreciate the tight control they have on subscription services because the expenditures are predictable. Plus, the services can be throttled up or down based on changing needs.

    2. Fast Time-to-Value

    For on-premises IT projects, the financial approval alone may require weeks or months depending on budget cycles. If you miss the window for submitting your plan, it may have to wait until the next quarter or fiscal year. Once the expense is authorized, you can finally begin the lengthy processes of procurement, deployment and infrastructure provisioning.

    On the other hand, with a relatively low financial entry point and lickety-split turn-up time, cloud solutions can shorten launch durations from months to days so you can start getting business results immediately.

    3. Ready for the Enterprise

    The underlying technologies powering cloud solutions have evolved rapidly and are now robust enough to take on production workloads that in the past could be handled only with on-premises systems.

    A cloud solution does not need to be a “diet” version of an on-premises product. In fact, many cloud offerings include more functionality than their physical progenitors because the cloud can evolve more rapidly and the software has access to more compute and storage resources. Virtualization and economies of scale lead to real-world benefits, and the pace of change is only accelerating.

    4. Agile and Flexible Architecture

    Resources in the cloud can be provisioned on demand and in lockstep with your requirements to deliver maximum financial and operational efficiency.

    Unlike many physical solutions, the cloud features a flexible architecture along with fast implementation, elastic computing power and massively scalable data storage to quickly respond to changing business demands. For organizations with sporadic or seasonal workloads, this eliminates the need to sustain prohibitively expensive and under-utilized capacity just to support a few enormous spikes in activity.

    Get Started Now

    When companies seek new ways to become more flexible and leaner in their use of technology, they want best-in-class capabilities. And they look for solutions that are accessible, yet can scale as they grow. But they don’t necessarily have the resources or desire to procure, install and maintain an entire IT infrastructure. In short, they want it all—but without being tied down or locked in.

    That’s where cloud solutions stand apart. The cash-flow-friendly subscription model offers “as a service” access to the very same capabilities that were previously available only through large, pricey, time-consuming on-premises deployments. Easy-to-get-started cloud services require little to no environment management, which empowers companies to take advantage of top-flight capabilities with bottom-rung commitment. All that’s needed to reap new value from the cloud is network access and a willingness to implement a solution that meets your business needs.

    Brian Wood is the director of cloud marketing for Teradata. He has more than 15 years of experience in technology marketing.

    This article originally appeared in the Q4 2015 issue of Teradata Magazine. To find out what Teradata Cloud can do for you visit TeradataMagazine.com.

     

    The post 4 Reasons to Consider the Cloud appeared first on Magazine Blog.

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  • admin 9:53 am on January 19, 2016 Permalink
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    10 Reasons Why You Can’t Afford Not to Use a Data Management Platform 

    This is the second part in our “Data Management Platform” series of articles. In this part, we will outline the 10 key benefits to use a Data Management Platform. You can find the first part here .

    Are you as a marketer starting to wake up and smell the coffee about the connection between ‘Big Data’ and ‘Real-time Advertising’? Have you finally noticed how these terms have come to dominate the lexicon of the marketing press? Well, if you haven’t we’ve got something to say about it.

    This all got started by the consumers’ increasing levels of digital media consumption across an ever widening plethora of devices and touch points.

    Aside from the positive impact on the digital advertising industry, the adoption of a DMP above all solves a range of different business challenges and thus its channel-agnostic role continues to expand beyond the remit of just the digital world. Let me show you how in today’s day and age it is crucial to use a Data Management Platform and how you can’t go on without one.

    10 Key Benefits to Use a Data Management Platform:

    1. 360 degree audience intelligence:

    By connecting different offline and online touch point data, a DMP creates the capability to identify the same consumer across multiple touch points and devices. This creates a true all round view of the customer journey, collecting data from a diverse variety of sources from first ‘pre-customer’ engagement to last conversation. An absolute must for any brands wishing to adopt a customer-centric approach to marketing.

    2. Activate customer data in real-time:

    In an era of ‘on-demand’ consumerism it is essential to be able to respond to customer’s active moments. A DMP enables a brand to use whatever is known about its customer data in real-time across a variety of channels and touch points.

    3. Improve advertising performance and efficiency:

    Being able to identify your most valuable target audiences is critical to optimizing your advertising performance. It is equally important to make your media buying more efficient, thereby increasing ROI, reducing wasted ad spend and increasing market share. With digital re-targeting achieving in some cases 200% improvements in conversion it’s no wonder that advertisers are keen to use data to drive performance improvement.

    4. Lookalike modeling & third party data access:

    What better way to increase the reach of your prospecting efforts than using the digital profile of your most valuable customers to find prospects in the higher funnel that look similar.  A DMP does not only leverage your own customer data to identify the right prospects to target, but also allows you to access third party audience data to help you extend your reach.

    5. Multi-channel message synchronicity:

    The ability to synchronize messaging across all channels, either through a campaign management platform or multi-channel execution engine is entirely dependent on the collection and unification of customer data in order to evaluate the next best message, through the right channel at the right time. A DMP, with its ability to integrate with many systems, makes this happen.

    6. Improved personalization and relevancy:

    Being able to personalize on an individual basis, and based on a unified view of how the user actually interacts with the brand. This enables brands to massively improve the relevance of their content and choose more predictive business rules to decide on the best content to show to the user.

    7. Multi-channel privacy controls:

    Point solutions simply cannot control privacy across multiple touch points.  As privacy laws extend across an ever wider set of digital devices, DMP is best placed to keep track of communication distribution based on centralized privacy controls.


    8. Media transparency:

    DMPs not only provide unified campaign reporting but also a global view of your media spend and performance. It can help you identify and minimize ad fraud since display can be optimized around viewability.

    9. Data ownership:

    The ability to control data ownership safeguards leakage to other third party systems that may be indirectly using that data to assist the optimization of your competitors. As stated by the CEO of OPONWEB, “There are inherent conflicts between the goals of the advertiser, agency and demand-side platform respectively when it comes to programmatic media buying. Controlling the technology itself ensures that you correct this imbalance and are able to maximize your desired outcome.” Being the owner of your own data not only ensures control but also ensures the minimization of data leakage.

    10. Strengthen analytics capability:

    At last, the normalization of multi-channel data collected through the use of a Data Management Platform gives brands the most accurate basis possible for sales attribution and marketing performance reporting. Moreover matching unequal data sets to the same customers helps to create meaning and context behind the data helping to drive a more relevant creative process.

    Conclusion

    In an era when minute-by-minute campaign reporting is possible, no brand can afford not to examine its potential. The right DMP can help you make better decisions, increase your campaign ROI and optimize the buyer journey in the most efficient way possible. Want to learn how to successfully implement and use a DMP in your organization? Check out our DMP guidebook.

    The post 10 Reasons Why You Can’t Afford Not to Use a Data Management Platform appeared first on Teradata Applications.

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  • admin 9:51 am on November 15, 2015 Permalink
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    4 Reasons Oil & Gas Companies Are Going To Fail In A Big Data World 

    In Gartner’s latest Hype Cycle, you won’t find the term “big data” listed anymore – because it’s no longer considered hype. Big data has made it all the way from its emergence in West Coast dotcoms to East Coast financial institutions, Far East manufacturing companies, and many more diverse places and industries around the globe.

    Doing a quick Google search for ”big data” and Oil and Gas, you’d think that these worlds have merged now too. But no. Not only are Oil Companies not there yet, they are in danger of missing out on the whole opportunity.

    man1
    Here are four serious reasons why:

    1. Oil companies still manage their business data like librarians

    Or should I say, museum curators?

    To run the gamut from exploration to development, to production, there are many different formats of business data to be managed. Some are documents – engineering drawings from the development phase – and are managed as such. Some are physical things – rocks, fluid samples – that need to be catalogued and archived as physical things.

    But a lot of it is digital data, and oil companies are not even successfully taking advantage of this data that is already available in digital format. Instead of loading digital data in an easily accessible format, oil companies store the original measurement (and any contextual data) for posterity, as a single unit.

    Like a book in a library. Or a rock in a core store.

    But if you don’t make the data readily available for analytics, how can you make data-driven decisions?

    2. Oil companies just want to buy applications

    Oil and Gas retains a strong preference of choosing to buy end-to-end data management solutions off the shelf, especially in subsurface.

    Commonly we hear: “IT and data management infrastructure are not core business for us – we will not develop any custom solution”. But if you look at the industries and organisations who are benefiting the most from big data analytics and data-driven businesses –the absolute opposite is true; if what differentiates your company from your competition is how well you can turn your available data into insights, then this is core business.

    It gets worse when we consider workflows that regularly need to take in data from outside the thick walls of the subsurface domain – how can you perform repetitive, integrated studies across reservoir and production data without a data management framework that spans all of Exploration and Production (E&P)?

    3. Oil companies have lost their (geo)technical capability

    The inventors of the Raspberry Pi were concerned our children’s understanding of computing would be how to use an iPhone or a word processor rather than how to write programmes themselves.

    Tools like Petrel are replacing the holistic approach and even deterring people from testing science-driven hypotheses.

    Cast your mind back to the days before the integrated workstation interpretation suites, when it was important to understand first principles. But we are losing these capabilities every day – the long-threatened “Big Crew Change” is now visible daily as oil companies contract under low oil prices.

    The result is a lack of candidates to become the upstream data scientists that can discover new insights in the available data. If nobody in the Oil Company can apply the science, then analytical discovery just can’t happen.

    4. Oil companies implement IT in geological time

    The oil business is a strange one to outsiders. The financial numbers – both revenues and costs – are astronomical, the uncertainty is extremely high and the time to profit on a new project is long. Decisions made today may not take effect for a decade.

    In the North Sea, for example, if you discover a new oil field today, you are unlikely to see first oil from it for 8 years. What will the oil price be then? The world demand? And will the technology chosen in today’s Front End Engineering Design (FEED) study still be a good choice when the field enters its second decade of production? Who knows.

    In complete contrast, over in Dotcom land everything is now. Companies like eBay are constantly carrying out A-B tests on their website, constantly tweaking and changing their offering – continuous incremental improvement is the norm.

    The big data technology landscape is evolving fast, and this is not the time to pick a technology and version and standardise for the future. Especially if your data formats and analytical techniques are different from the ones prioritised by the Dotcoms.

    The only sure-fire way to ensure you get a big data strategy that works for you is to join in –build some systems, load some data, join the open source communities, test out new strategies, push the limits, and commit back. It certainly wouldn’t hurt your career prospects!

    If – as I suspect – oil companies are not willing to show up and take part, there is a strong chance that the big data technologies that emerge the winners will not meet their needs. And that will be a huge opportunity lost.

    The post 4 Reasons Oil & Gas Companies Are Going To Fail In A Big Data World appeared first on International Blog.

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