Articles
Tag: big-data-potential
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Bigger, Better, Faster, Stronger: The Future of Big Data
“[W]e can rebuild him. We have the technology. We have the capability to make the world’s first bionic man. Steve Austin will be that man. Better than he was before. Better. Stronger. Faster.” One of the most popular TV shows in the mid '70s was the Six Million Dollar Man, which
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Big Data Projects: Taking Care of the Foundation
Data and System Design and Architecture A comprehensive view of data accuracy, validation, quality and consistency will be required to provide confidence in data sources used for big data analysis. You'll need master sources of data and “gold standard” sources of truth for certain high value processes.
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Breaking Down Big Data: The Value in Metadata
“I never met a data that I didn’t like. ” -- Internet Meme As a Partner at Optimity Advisors, my role is to work with clients to make data likeable: identifiable, discoverable, usable and ultimately, valuable.
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Marketing to the Segment of One is Closer Than it Seems
Relevant and Timely Let’s discuss the why, how and what behind marketing to the segment of one: Why market at this level? How do you market to the segment of one? What technologies and processes enable this type of marketing? Why would an organization want to market at this level?
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5 Ways Pitch Perfect Should Inform Your Content Strategy
After nine months spent writing a book about content, content marketing and content strategy, I felt brain dead. My husband lovingly suggested we take our family away to the beach so I could “recover” for a few days.
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CMSWire Tweet Jam: Extracting Business Value From Big Data #CXMChat
Big data may promise to carry businesses to the next level, but there's still a lot of confusion surrounding it.
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Big Data Projects: Developing Vision and Business Requirements
Developing a big data program requires alignment of the objectives of the initiative with the needs of the business. Usually it is the other way around -- start with business needs.
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Gain a Competitive Edge Through Big Data: 4 Use Cases
When you can analyze a large amount of data as a single set -- rather than separate silos -- you can uncover significant insights that would be impossible to get from traditional business intelligence. And it’s these breakthrough insights that are giving companies a serious competitive advantage.
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Look Before You Leap Into the Big Data Revolution
Like the proverbial elephant and five blind men, big data looks different depending on who's describing it: from holy grail for information in society, to dangerous step toward a world in which people are treated based on predictions of what they are likely to do instead of what they
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Deliver Big Data in Bite-Sized Pieces with Mainstream Apps
But without these answers we'll be unable to develop the data driven-apps that analysts are flagging as the next “Big Thing” in the sales and marketing arena. Breaking Down to Bite-Sized Pieces Customers want “mainstream” apps that are useful, provide information or tie into key personal or business data.
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How Big Data Projects Are Different
How is big data strategy different from any other technology-related strategy? There’s definite overlap with other IT strategies, including the need to be aligned with business strategy, to have strong sponsorship, to address specific business problems, and to have decision making mechanisms for resource allocation and ongoing capability development --
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Big Data as a Disrupter - Thinking About Big Data Strategically
To do that, we need to put on our management consulting hats and enlist the help of a simple but powerful two-by-two model.
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Big Data's Dark Side: Keep the Creep Out of Your Analytics
Most of what’s been written about big data and data analytics -- and there’s been a lot written --accentuates the positives and the possibilities. It highlights the ability to use insights gleaned from data to make faster, smarter business decisions.
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How Big Data - and Critical Thinking - Lead to Business Value
There is irony behind a discussion of the business value and metrics related to big data analytics, since a lot of people in the business world still don’t understand much about big data, including those who think they have a handle on it. Business analysts, IT, Marketing, Business Intelligence,
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