Second, entities are identified in structured data and linked to the entities found in unstructured data.
Unstructured data will be analyzed and correlated to structured data using capabilities like Attivio or Autonomy.
It must also capture images and video in addition to handling more structured data such as forms.
The story started in reports from structured data about sales and ended in the analysis of unstructured documents.
Big Data covers both structured data (e.g. that in ERP systems) and unstructured content (e.g. files stored in SharePoint).
The volume of structured data was relatively low, meaning that database archiving would not reduce the storage footprint by much.
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With it, users can acquire and analyze petabyte-sized volumes of multi-structured data in a single platform with a single SQL command.
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While BI has gained mainstream traction in the structured data world, content analytics have not yet in the unstructured content world.
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Of course, all of this works best when you have questions that arise from structured data that can be answered using unstructured data.
This means, for example, merging structured data such as customer demographic and purchase information with unstructured data that customers generate through social media.
The proliferation of smartphones and tablets that became very useful mobile recorders for images, audio and video has exponentially accelerated the structured data creation.
This allows the unstructured data to be presented as structured data.
Third, dashboards or reports are enhanced so that the unstructured information related to the information displayed from the structured data shows up in the user interface.
Standard data mining focuses on structured data and looks at traditional financial forms such as insurance claims and bank account applications to build a risk profile.
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Until the unnatural disaster hit, most digital information was in the form of structured data, such as databases that can be easily sorted and queried and analyzed.
Combining unstructured and structured data will deliver insights, intelligence and actionable guidance that are going to make the most challenging goals today more achievable in the future.
While Attivio has an elegant system, just the idea of attempting to enhance reporting and dashboards with relevant unstructured content and with structured data seems very powerful and can be done in quick and dirty ways.
Automated Insights (ai), based in Durham, North Carolina, is on a mission to revolutionize the types of content that are powered by structured data, particularly in the world of sports, finance, and real estate.
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Our technology combines a large database of structured data, a real-time feed of stats, and a large database of phrases, and algorithms to tie it all together to produce articles from two to eight paragraphs in length.
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With advances in feature and pattern recognition and other forms of machine intelligence, these video streams will throw off a tremendous amount of structured data, the use of which we will have no knowledge of or control over.
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In addition, by embedding security and privacy controls into structured data and metadata, data owners can focus more effort on ensuring the safe and secure delivery of data to the end customer and fewer resources on securing the device that will receive the data.
Pittman hopes to sell product licenses to companies and institutions that need help mapping their mountains of structured data, such as an Oracle (nasdaq: ORCL - news - people ) database, as well as unstructured data such as e-mail and instant messages.
Last year we did hit approximately 1 zettabyte (one trillion gigabyte) of data in the public web and the speed by which new data is created continues to accelerate, including unstructured data in the form of text, semi-structured data from M2M communication and structured data in transactional business applications.
The moral of this story is that information hoarding in order to leverage Big Data tools may work in the structured data world, but will not work in the broader information world that includes unstructured content (the Word file, PowerPoint presentations, CAD files, audio files, and other large data types that dominate corporate information stores).
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Unstructured data is interesting and contains information we want to report on and want to integrate with other (structured) data.
Beyond data volume, a key concern was data integration of structured and unstructured data.
Google figures that soon enough the Internet and similarly-structured corporate data centers will host almost all our work software, along with all our videos, pictures, and music.
Big data will force companies to look beyond their four walls for answers, curing the myopic mindsets many tend to suffer from today of measuring their businesses only by the readily available, structured internal data that only shows part of their performance.
Storing, processing and analyzing even the tiniest fraction of that data will require drastically different technologies from the structured, relational data management tools organizations have so far relied on.
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Through smart data governance and the use of intelligent technologies, providers will be able to transform existing structured and unstructured data into actionable information, streamlining workflow and enhancing the overall model of patient care.
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