Search engines index millions of pieces of information, structured and unstructured. But simply indexing information isn’t enough to give a user the results they need when they perform a search.
The Need for Relevancy
The goal of relevancy tuning is to help a user get the best results for a given query they are trying to run. Relevance is telling the search engine how to best sort the information in its index to ensure search results match search queries as closely as possible. It’s the process of bringing the most relevant information to the top of the result list.
Recent research shows that over 66% of employees are dependent on search in their daily work. But there’s a problem. Forty-one percent are frustrated with their existing search application.
Many enterprise search platforms offer task-based search, providing a simple search, analyze, decide and start over approach that provides no context between searches by an individual. Attivio provides a different approach. Attivio Cognitive Search and Insights takes search beyond purely indexing data by incorporating innovative technologies such as machine learning, natural language processing, and content analytics to derive better insights and knowledge.
Attivio joined search colleagues in DC November 14-17 for KMWorld’s Enterprise Search and Discovery Summit. From their strategic location at the show’s Enterprise Solutions Showcase, CTO Will Johnson enjoyed meeting IT professionals, customers, partners, and vendors from across the US, demoing the Attivio platform, sharing customer success stories, and talking to folks about what’s hot and what’s not in search right now over cocktails after the show. Common topics included GSA replacement, knowledge management struggling to achieve its vision, and the continuing emergence of cognitive search.
Search professionals from across the nation are gathering in Washington DC this week for the Enterprise Search and Discovery Summit at KMWorld. For some, the looming abandonment of Google’s Search Appliance (GSA) solution will be a topic of discussion.
When Google announced plans to withdraw its appliance from the market earlier this year, many companies found themselves catapulted into a time-sensitive hunt for a Google search appliance replacement and upgrade. According to this CMSWire story, the clock is ticking and “you could have from 12 to 24 months before your search servers become bright yellow room warmers” and that’s not even factoring in the time to investigate, test, and implement a new solution.
As an Attivio Solutions Architect, I often work to help companies customize (a.k.a., hack) our Cognitive Search and Insight technology to meet their unique search demands. It’s worth sharing some of the most common hacks in the risk space.
Hack #1: “I have tons of unstructured communications in my enterprise — isn’t flagging all variations of a potentially risky situation time consuming and expensive?"
Stranger: “What does that mean? It’s something with computers, right?”
When I’m introduced to someone, this conversation is typical. I’ve been in various technical presales positions for more than ten years. I’ve built a career on my ability to engineer solutions to prove both business and technical value to all manner of companies. But more importantly, I’ve built my career on my ability to confidently answer technical and business-oriented questions.
In my role as a solutions architect, I answer questions all day, every day. Here are some of the most common inquiries I get:
A full 40% of search applications search only unstructured information when gathering data for business intelligence. Do you trust that you’re getting complete and accurate answers to your search inquiries?
Join Attivio in a special episode of CMS Connected filmed onboard the Liberty fleet of classic ships in the Boston Harbor. CMS Connected hosts Tyler Pyburn and Scott Liewehr interview Attivio Chief Marketing Officer, Lou Jordano, about how Cognitive Search and Insight technology can provide organizations with that accurate visibility they crave, giving them a competitive edge and arming them with the information they need to succeed.
Wayne Eckerson points out in a recent report that, "Business intelligence (Bl) is fueled by two opposing forces: top-down BI, in which the corporate IT group imposes standards on the delivery of data and reports to ensure a single version of truth, and bottom-up BI, in which business unit analysts create their own reports with custom data sets." Or more simply, it's the data warehouse folks versus the fans of Hadoop and the data lake when building a modern data architecture.
As more and more organizations adopt Hadoop, it's just a matter of time before these two groups have to reach some kind of working agreement—aka the modern or "hybrid" data architecture.
Plenty of organizations deal with massive data volumes in a variety of file types. But few have to provide a responsive web search interface to massive content in more than 200 languages.
SCOLA (Satellite Communications for Learning) manages a growing repository of 85 TBS that span text files, PDFs, MP3s, digital video, and more. Started by Jesuit priest Leland Lubbers on the campus of Creighton University, SCOLA uses modern information technology to help the people of the world learn about their cultures, languages and ideologies. And that requires powerful search that’s also easy to use.
Enterprise search is back in the news—with a twist. Companies that really want to accelerate their results with BI and Big Data are looking to enterprise search as a way to help business analysts quickly find the data they need. Note that I said “data,” not information. Enterprise search has always been thought of as a way to find unstructured content in file shares like SharePoint. But now, it’s being applied to strucutured data as well. And if a search solution can combine data with unstructured content so much the better.