The value of defining your own search dataset

There are many web monitoring and listening platforms, both free and commercial options, available online. The majority of these  companies advertise their ability to monitor and scour hundreds of thousands of sources simultaneously. These turnkey solutions allow the user to submit  lists of keywords and the platform returns thousands of hits from blogs, message boards, social media websites, news websites, etc.  This type of solution works great for projects that simply need to track mentions of specific keywords, particularly keywords and sources that are used globally. However, this type of turnkey model using a standard database doesn’t work for everybody.

Many users need to define their own dataset rather than blindly trusting one provided to them.  In this post, we give examples of who should be defining their own data set, the value of monitoring your own data, and available custom monitoring solutions.

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Posted in Deep Web and Big Data | Tagged , , , , , |

How our alerts are different than Google alerts

Our last post was on why we’re different than Google search and in this post we want to discuss why our Deep Web alerts are different than Google Alerts.

Learn what alerts we can set up, how they’re different than a Google Alert, and examples of how BrightPlanet’s Deep Web alerts can be used.

  • Page Changes vs. Mentions
  • Customizable Emails vs. Generic
  • Near Real-Time vs. Recurring
  • BrightPlanet Deep Web Alerts at Work

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Posted in Deep Web and Big Data | Tagged , , , |

Why we’re different than Google search

When demoing our products, we often spend a lot of time answering questions about how BrightPlanet’s solutions are different than a regular Google search. Potential users often want BrightPlanet to search a certain keyword for them across the entire web. We don’t do that.

Discover what we do, why it’s different than a Google search, and why it’s valuable to customers.

  • Harvesting vs. Searching
  • Solving Specific Problems vs. Being Everything to Everybody
  • Specific Sites vs. The Entire Web

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Posted in Deep Web and Big Data | Tagged , , , , |

BrightPlanet® Named to Leading Industry Analyst Firm List for Deep Web Solutions

May 7, 2013 – Sioux Falls, S.D. – BrightPlanet Corporation announced today that it was recently named as one of just five selected companies in the  “Cool Vendors in Information Infrastructure and Big Data 2013”1 by Gartner, Inc., the leading industry analyst firm. The report recognizes emerging vendors bringing novel approaches to addressing information management needs and the emerging need to harness Big Data.

Gartner selected companies that offer “capabilities that enable information producers and consumers to describe, organize, share, integrate and govern any type of data and content, anytime, anywhere.” BrightPlanet was recognized for its solutions that harness content from the Deep Web.

“We are very excited that Gartner has included BrightPlanet on the list of Cool Vendors in Information Infrastructure and Big Data. It is great to see Gartner recognize data harvesting technologies in this category, and we hope that companies continue to see the value of leveraging unstructured Big Data from the Deep Web,” said Steve Pederson, BrightPlanet CEO.

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Posted in Deep Web and Big Data | Tagged , , , , , |

[Whitepaper] Transforming Unstructured Data into Actionable Intelligence

You’ve heard the hype, now learn the process. Go beyond the hype of data analytics and Big Data and follow data from the Deep Web through the three-step process transforming raw data into actionable intelligence:

  1. Harvesting
  2. Normalizing and Enrichment
  3. Reporting and Analytics

Download our latest whitepaper to discover how Big Data from the Deep Web becomes usable.

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Posted in Deep Web and Big Data, White Papers and Publications | Tagged , , , , , |

[Infographic] How Police Departments Use Twitter

Police departments around the world use Twitter as a means of sharing information with their communities. BrightPlanet recently completed a study to uncover exactly how police departments are using Twitter.

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Posted in Deep Web and Big Data, Law Enforcement | Tagged , , , , |

BrightPlanet® Partners with Law Enforcement and Government Intelligence Consultant

April 19, 2013 – Sioux Falls, S.D. – BrightPlanet Corporation is pleased to announce the addition of Mr. Glenn L. Archer III as a consultant to the BrightPlanet team. Glenn, an accomplished leader with 25+ years of experience in business and government, is working with BrightPlanet to build and improve industry knowledge of our law enforcement and government intelligence solutions. Because of the deep expertise he has gained throughout his career, Glenn will provide invaluable insight into meeting the needs of defense, homeland security and public safety sectors and will guide BrightPlanet in meeting the needs of these markets with their Deep Web and Social Media solutions.

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Posted in Deep Web and Big Data, Intelligence Community, Law Enforcement | Tagged , , , , |

Boston Marathon Tragedy: The Use of Twitter in a Crisis by Law Enforcement and Public Service Agencies

Overnight the Boston Police Department Twitter handle (@Boston_Police) went from 55,000 followers to over 117,000 followers as a result of the Boston Marathon tragedy. Twitter and other social media tools are powerful tools for civilians, law enforcement, and public service agencies during and after a crisis as we saw over the last couple of days.

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Posted in Deep Web and Big Data, Intelligence Community, Law Enforcement | Tagged , , , |

What is OSINT and how can your organization use it?

The government and military love to use acronyms, and one of those acronyms is OSINT. Learn what it stands for, what it has to do with Big Data from the Deep Web, and why it isn’t just a government acronym.

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Posted in Deep Web and Big Data, Intelligence Community | Tagged , , , |

Stage 3: Extracting Intelligence out of Big Data from the Deep Web

Welcome to the third and final installment of our three part blog series on how data goes from the Deep Web to actionable intelligence. In the first installment, we learned about harvesting unstructured content/data at large scale from the Deep Web. In the second posting, we then learned about the normalization and enrichment of that data to prepare it for analytics.

Today we are going to learn about the analytics.

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Posted in Deep Web and Big Data | Tagged , , , , |