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Unstructured Data

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Big Data: The 4 Layers Everyone Must Know

July 29, 2014 by Bernard Marr

The Big Data Guru column.

There is still so much confusion surrounding Big Data. I thought it might help to clarify the 4 key layers of a big data system - i.e. the different stages the data itself has to pass through on its journey from raw statistic or snippet of unstructured data (for example, social media post) to actionable insight.[read more]

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3 Organizations That Can See the Future with Predictive Analytics

July 26, 2014 by Michele Nemschoff

Predictive analytics.

The ability to foresee the future would certainly be the ultimate competitive advantage. In reality though, no business has a crystal ball for making critical decisions. That’s why all critical business decisions have always carried a certain amount of risk. This risk has always and will always be part of the competitive game.[read more]

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Big Data Is Changing Every Industry, Even Yours!

July 1, 2014 by Bernard Marr

The Big Data Guru column.

For a business, the ability to have its production, stock control, distribution and security systems all connected and talking to each other will mean greater efficiency and less waste. Every area of industry is learning to reap the benefits of big data analysis, and it looks certain that finding innovative methods of gathering, recording and analyzing data is going to play a big part of business in the foreseeable future.[read more]

Empowering the Business Ecosystem with Business Intelligence [VIDEO]

June 30, 2014 by Ray Major

The BIg IDEA video series.

There is a lot of information that resides in a company's database that can be very useful to vendors, suppliers, distributors and more. By providing this data to the right people, you now enable them with the ability to make better business decisions based on understandable, easy-to-use information.[read more]

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A Quick Guide to Structured and Unstructured Data

June 28, 2014 by Michele Nemschoff
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Guide to structured and unstructured data.

Big data has opened doors never before considered by many businesses. The idea of utilizing unstructured data for analysis has in the past been far too expensive for most companies to consider. Thanks to technologies such as Hadoop, unstructured data analysis is becoming more common in the business world.[read more]

Combining Text Analytics with Voice-to-Text

June 19, 2014 by Rami Nuseir

Text analytics with voice-to-text.

What if, every time anyone gave you an opinion, it was recorded and transcribed with voice-to-text technology? Then the transcription was subsequently analyzed with text analytics software, and the results were sent back to you? That would be amazing.[read more]

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How Big Data Will Change Marketing Forever

June 17, 2014 by Bernard Marr
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The Big Data Guru column.

Companies have been collecting data on us for decades, but since we all went online - and in particular since we got social online - the amount we give away about ourselves and the number of ways a business can exploit that information, have exploded.[read more]

Business Intelligence and Your Business: Ignorance Is Not Bliss

May 28, 2014 by Ray Major
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Ignorance is not bliss, you need BI.

Once you have identified the data sources needed, we can use those to impact your business processes. You can measure those business processes using your performance indicators and result indicators - and those in turn support your KRIs and KPIs, which support your critical success factors and ultimately help you achieve your corporate goals.[read more]

Why Text Analytics Is Important in Search

May 28, 2014 by Mekkin Bjarnadottir

Text analytics and search.

Choosing the right keywords for search is the most important component of getting the results you’re looking for. Everyone knows this, but it’s easier said than done. Even with the most well thought out keywords, search results don’t always deliver what you’re expecting.[read more]

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Big Data and Analytics In Sports: A Game Changer

May 27, 2014 by Bernard Marr

The Big Data Guru column.

This posts explores how big data and analytics are transforming sports to monitor athletes and players, improve their performance, reduce recover times and make sports more engaging and entertaining for the spectator and TV audience.[read more]

That's Sick! Text Mining and Words with Multiple Definitions

May 5, 2014 by Scott Van Boeyen

Text mining.

Let's take a step back, how can humans tell which "sick" we are talking about? Humans get help from things like: body language, the tone of the communicator's voice, eye contact, facial expression, as well as cultural symbols like clothing, hair style, and location.[read more]

Analytics, Semantics & Sense: Q&A with Marie Wallace, IBM

May 2, 2014 by Seth Grimes
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Marie Wallace, IBM.

IBM analytics strategist Marie Wallace on about natural language processing, sentiment, machine learning, and opportunity. "Having spent the last several years focused on social analytics, its not going to be surprising when I suggest that the biggest piece of missing information isn't the content itself but the meta-data that connects various pieces of content into a cohesive story."[read more]

Analytics, Semantics & Sense: Q&A with Elliot Turner, AlchemyAPI

April 29, 2014 by Seth Grimes

Elliot Turner, AlchemyAPI

Companies always want to know what consumers will buy and when they will buy it. But Intent Mining is still in its infancy. Today, it is easy to classify the topics and sentiment of an individual post, or roll up how Twitter feels about the top entities extracted from a real-time hashtag feed.[read more]

Is Your Company Ready to Deploy Business Intelligence Intelligently?

April 22, 2014 by Ray Major

Ready to deploy BI?

Although the majority of data-driven enterprises may have or use BI software or systems, a recent survey we took of IT executives revealed that there is a vast difference between having BI and using BI to the company’s full advantage. There is an even larger chasm between the cost to implement BI and the value realized from those efforts.[read more]

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A Complete Guide to Overcoming Executives’ Concerns about Hadoop

April 13, 2014 by Michele Nemschoff
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Overcoming executives’ concerns about Hadoop.

CEOs are often critical of adopting new technology, and for good reason. New technology is expensive and all too often fails to come through and offer any real value to the company. This could present a challenge for IT managers who want to implement Apache Hadoop, the increasingly popular and cost-effective framework for large-scale, data-intensive deployments, into the company’s technology infrastructure.[read more]