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Category: Enterprise search & search technology (Page 36 of 59)

Research, analysis, and news about enterprise search and search markets, technologies, practices, and strategies, such as semantic search, intranet collaboration and workplace, ecommerce and other applications.

Before we consolidated our blogs, industry veteran Lynda Moulton authored our popular enterprise search blog. This category includes all her posts and other enterprise search news and analysis. Lynda’s loyal readers can find all of Lynda’s posts collected here.

For older, long form reports, papers, and research on these topics see our Resources page.

Eating Your Own Dog Food

I sat in on a demonstration for an enterprise search engine this week. There were several things that really impressed me. First it was not canned; although the demonstrators were clearly following a script, and members of the audience members were asking questions throughout the demonstration. The audience was a mix of consultants and prospective customers; they had a lot of questions, asked to be shown features, functions and “what ifs.” The person demonstrating was very soon off script and doing nothing more than answering questions and demonstrating completely ad hoc searches and with excellent results.

The second impressive aspect was that the entire corpus of content was company information for the vendor. It was not everything they have on their intranet for this public view but enough to see that this is a company that actually uses its own technology throughout the enterprise for all of its divisions. Content from Lotus Notes, SharePoint, Documentum, an employee gallery, emails and files were all there and presented in a clear format for the audience to see and understand.

Finally, what impressed me was the extent to which their content reflected how their search engine was being used as a platform for doing business and working collaboratively, internally. This caused me to reflect back to a presentation for an analyst group earlier in this year by another search company. That company was rolling out a number of features in the business intelligence (BI) space. So, I asked them a couple of questions, “How are you using these tools to manage your own enterprise, doing business intelligence? How are you exploiting internal content to understand the dynamics of a rapidly growing company?” There was a long silence but the answer was along the lines of, we aren’t but we should probably consider it and it takes time to think through a strategy for deploying a good BI solution.

In my experience, if everyone in a company with an enterprise search technology product does not find a use for and evolve with its own offerings, then there is a missed opportunity and a flawed business strategy. This missed opportunity is the terrific feedback the developers will get from that internal use and the evangelism that can come from enthusiastic employees. The flawed business strategy is the huge disconnect that develops between customers and suppliers when supplier employees just never have a customer experience themselves. Search and BI are two functions that every company can benefit from using; why on earth wouldn’t every search vendor be aggressively seeking opportunities to apply its own tools.

So, buyers be aware – look for evidence that the purveyors of search actually have their own experiences to talk about and demonstrate. That can tell you a whole lot about how you will be treated as a customer because they are one, too.

Collaboration and Expertise Bring Focus to Enterprise Search

The topic of the month seems to be “social search;” I confess to being a willing participant in this new semantic framing of a rash of innovative new tools for enterprise search products. I would, however, defer to the professional intent of some great new features by stressing that this is really a next step in bringing collaboration closer to where expert knowledge workers do their work. As I view enterprises with a heavy research component, 10 – 30% of the average professional’s time is spent in a search environment. In other words, we all spend a lot of our day just looking for “stuff.” We also spend a significant amount of time in meetings, exchanging emails, and making presentations. More and more of us contribute to collaboration spaces where we work together on various types of document production.

Putting together the work habits and needs of a time-poor and information-rich community of knowledge workers in a post-processing environment where they can “mash up,” tag and commentate their search discoveries is a natural evolution of search technology. It is remarkable to see how search companies that are serious about the enterprise market (search within and for the enterprise) are rapidly turning out enhancements for their audiences, now that they are convinced that “Enterprise 2.0” has a boatload of early adopters in the wings. Search should always be about connecting experts and their content. Add collaboration and the ability to enrich search results by searchers for the benefit of their colleagues and you have a model for, soon-to-be, heavily adopted products.

That pretty much sums up how we should be thinking about “social search” in the enterprise. You can hear more of my views in a KMWorld Webinar, Using Social Search to Drive Innovation through Collaboration next Tuesday in a presentation sponsored by Vivisimo, one of the leaders in this area.

The week had plenty of virtual ink devoted this topic so you might want to check out these two articles with more commentary. The first was in eWeek, by Clint Boulton, Vivisimo Marries Search, Social Networking. The second shows that Google is on the bandwagon, as well, Google Enterprise Search gets social, a blog entry at C|Net News.com by Rafe Needleman.

Trust is a Pact between a Vendor and Its Customer

There is nothing more disappointing to a consultant than to learn that a project in which you gave significant guidance to a client is experiencing a project meltdown…except maybe having everything get off to a positive start only to falter due to problems with the technologies being implemented. I have been burned several times lately and that surprises me because, as a former software vendor myself, I have pretty deep skepticism when it comes to overblown claims and can usually spot the companies I wouldn’t want my clients to trust. This was not one of them.

It is hard to deal with situations that you didn’t consider likely. A big one is a broken promise, even if it is implicit, not explicit. For a vendor to deliver a solid CMS product with a buggy search interface to toggle between keyword and metadata search is one thing. My client spent months getting it to work so that users could seek by keyword or on explicit metadata fields. They rolled it out and it was “OK,” if not great. But after much discussion with the vendor about the bugs, my client was pressured into adopting an upgrade to “solve the problem.” Unfortunately, the upgrade was an experience from hell, but worse was the fact that the old search controls no longer worked and there was no way to search metadata any longer. Having predicated the procurement on being able to search metadata… well, you get the picture.

What happened to the old motto of “first do no harm?” In my world that means you never release an “upgrade” that subtracts functionality. In the words of my client, “we consider this a major regression.” I consider it a serious breach of trust between them and the supplier but also between me and my client. Why would they ever trust my guidance about the solidness of a vendor again? Guess I have my work cut out for me to find some recourse for my client.

On a much more positive note, I will be offering commentary on the subject of trust and technology solutions when I participate in my first Gilbane Webinar with Oracle’s Brian Dirking, Wednesday, October 10th. The title is The Trust Factor: Secure Enterprise Search for High-Value Content and it will include some key considerations when considering your path to a successful search implementation. I’m still optimistic and enthusiastic that you can implement an excellent search solution for your organization if you really chose your strategy, your technology and your business partners carefully and I’m teaming with Oracle to reinforce that message.

It is free, so click on the title to sign up, even if you are in the beginning stages of your quest for a search product. I hope you will join us for the discussion.

New Enterprise Search Engine Specializes In Engineering Documents

Elmo Solutions, experienced in the extraction and processing of CAD and engineering metadata, announced the official launch of Agni Enterprise Search 2008. Agni Enterprise Search is an enterprise search solution designed to meet the distinct needs of CAD, R&D, Engineering and IT managers, end-users and senior managers. Agni Enterprise Search 2008 allows CAD and non-CAD users to index and retrieve a wide range of document formats, including AutoCAD, Autodesk Inventor, Office, eMail, Acrobat, image formats, SolidWorks, Lotus Notes, Visio, etc. Agni Enterprise Search 2008 was designed specifically to maximize document usability and reusability. Agni Enterprise Search allows not only free-form keyword-based searches, but also structured-form metadata-based searches as well. Agni Enterprise Search 2008 features include– Display of document thumbnails, Stemming, Phonic searches, and a query language. The software ships in English and French, and is available as a free, fully functional, 30-day trial license for download directly from the Elmo Website. http://www.elmosolutions.com/

About Analysts, Other Naysayers and Search

You have probably noticed a fair degree of skepticism among technology bloggers about search products and search add-ons to other products. There have been quite a few articles lately that generalize “search” into one monolithic group of technologies. You need to really read between the lines to find the “kind of” search that is meaningful to your “kind of” enterprise. If you go back to one of my first blog entries you’ll see I noted that “the market is, frankly, a real mess.” Sue Feldman has been clear that she, too, believes the field to be a “muddle.” Steve Arnold routinely lets us all know how Google’s patent filings suggest a path toward future disruptions in the search marketplace.

Why then would anyone invest in search today? Do it because there are certainly enough really good and appropriate solutions for most enterprises. These may not be in the price range you would like, and may require more overhead support to implement than you think you should need, but you cannot be paralyzed by what the “next big thing might be” because it might not happen for a really long time or at all. You may find a solution today that solves a lot of immediate searching problems for your enterprise and continues to evolve with the needs of your organization.

That said, you need to keep educating yourself and your peers. This article appeared in the paper version of Information Week Aug. 6, 2007 as The Ultimate Answer Machine, but in the online version as The Ultimate Search Engine. It conflates all kinds of search in a single message that the average non-expert buyer wouldn’t be able to sort out. In its product box you have 13 products including Web search and enterprise search mixed together with no differentiation. I’m tracking over 80 products that solve some kind of enterprise search problem and new ones come to my attention every week. Take a look at the online article and be sure to look at reader comments to see more diverse views than just mine. Think about whether what you read makes good business sense.

I could load you up with two dozen interesting articles from just the past week but recently these have caught my attention for more self-education. Check out: Fight Against Infoglut, in Information Week on April 7, 2007, Search technologies for the Internet by Henzinger, Monika. Science, pp. 468-471, 07/27/2007, and Enterprise Search – More than just Google, Analyst Perspectives Consensus Report (these last two are paid content).

Going forward, you will find some interesting perspectives on Oracle’s position in the enterprise search marketplace if you sit in on their Webinar, Oct. 10th. Finally, I hope you can attend the upcoming Gilbane Boston Conference, Nov. 27th – 29th. The case studies and panel discussions will have something for every type of solution. I’ll keep you posted on selected upcoming happenings as they appear; keep your ear to the ground and eyes focused.

Using Expertise and Enterprise Search to Drive New Knowledge

Drew Robb has written an excellent article that reflects new thinking about the convergence of older and emerging technologies. In Search Converging with Business Intelligence for CRM Daily.com on August 28, 2007 I see similarities to my own way of viewing what is possible with newer search tools. Be sure to read it.

In addition to enterprise search, I actively follow enterprise knowledge management. It has been much debated because of confusion about its links to inappropriate technologies and well-intentioned but costly and failed initiatives in many organizations. But, in spite of rumors about its death, KM will remain a boundless frontier of opportunity. At its best, it leverages collaborative and sharing practices to maximize the value of organizations’ discoveries, developments and learning using innovative and often simple practices that work because they suit a particular culture’s way of operating.

Popular writings about business and technology innovation, plus tools and techniques for collaboration and sharing abound. 2007 is surely the year when search has come to dominate the technology landscape as vendors in BI, text mining and text analytics, data management, and countless semantic and Web 2.0 entrants vie to add refinements, and conversely search integrates features from those technologies.

In August I commented on search offerings that have made a point of highlighting their “Sharepoint” connectivity. Similarly, many products are adding claims for exploiting emails. I have long assumed that email should be part of the search engine crawling and indexing mix for any intranet. Given email structure, it seems to have more useful and usable metadata than a lot of other content. Social network analysis tools have been terrific at revealing fascinating relationships and internal communications within organizations, especially in the discovery area as emails have been a source for exploring questionable business practices in legal proceedings.

More sophisticated analytic and semantic techniques for exploiting concepts in content give hints about how technologies can integrate content by mapping experts to the expertise they contribute, even when it is scattered throughout their work, including emails where so many nuggets may reside. An area for development would correlate nuggets of knowledge in emails to reveal hidden and latent expertise, pointing to other content an individual has produced using search with BI and analytics algorithms.

Maybe I’m overreaching but I suspect that a lot of experts may not be sufficiently motivated, disciplined or expected to aggregate their small but useful contributions into more valuable knowledge. Regardless of the reasons for that failure, much could be revealed with the right blending of search, indexing, analytics and business intelligence technologies. The components already exist but implementation to get desired results are not necessarily easy to deploy. A truly innovative expertise exploitation engine would be a knowledge engine of note, able to synthesize new knowledge in unique and interesting ways. Historically, much has been made about the role of serendipity in the “search for truth” and “quest for knowledge.” With the aid of enhanced search technologies to blend any or many expert nuggets, a lot more serendipity might happen.

Mobile Search, Etc. and Early Adoption

It was inevitable that the search market would rapidly expand into the mobile device market and the number of new and established vendors with options for your cell phone or PDA is a daily feast of reading. Combined with other new search options promising voice-enabled search, semantic search, search federating internal with Web and deep Web content, the possibilities for having search served up to suit anyone seem endless.

Tracking over 70 vendors with enterprise search offerings is plenty for me to focus on at the moment. However, as I read the publicity releases and descriptions inviting me to be briefed, in the back of my mind I know that business travelers need access to all kinds of enterprise content regardless of their locale. I worry that my skepticism about mobile search for enterprise content says more about my age than the technology. I might be thinking about struggling with tiny screens and buttons in less than optimal viewing conditions. But I am open to the possibilities and know it will become pervasive, as will all the other flavors of search.

Caution: before jumping into hot new offerings for enterprise search or any other technology, take a deep breath and think about some consequences of being that early adopter.

Security models for enterprise search in which content is being aggregated or federated from across numerous structured and unstructured content repositories is a very big issue, takes lots of planning, mapping, and time to deploy and test. Add the considerations of a start-up vendor dealing with your precious knowledge assets in a wireless world and you might think twice.

Recent CIO Research, CIO Vendor Report Card results for 52 top IT vendors broke out statistics in several areas. The responding audience ranked as their highest priorities two that would be very hard to judge for a new offering:

  • (Vendor) Delivers on Promises
  • Ongoing Support after the Sale and Implementation

Another statistic that was reported in the CIO Vendor Report Card was a measure of the likelihood that the respondent would be willing to recommend the vendor. This reminds us of a critical issue that early adopters of new products and technologies can’t easily resolve, finding recommenders or product case studies.

I don’t want to pick on mobile search especially; there is so much hot stuff coming down the pipeline that it is easy to get carried away. But a sign to take it slowly is when your own enterprise is struggling to keep up with new releases of products from known companies, and lags behind in fully exploiting technology you already have. The hottest “must haves” won’t even make it through initial deployment in this environment. Making certain that enterprise search is working well within the organization is a necessary and critical first step. Having a vendor with a track record and happy customers is a close second.

Sharepoint and Search

Sharepoint repositories are a prime content target for most search engines in the enterprise search arena, judging from the number of announcements I’ve previewed from search vendors in the last six month. This list is long and growing (Names link to press releases or product pages for Sharepoint search enabling):

Almost a year ago I began using a pre-MOSS version of Sharepoint to collect documents for a team activity. Ironically, the project was the selection, acquisition, implementation of a (non-Sharepoint) content management system to manage a corporate intranet, extranet, and hosted public Web site. The version of Sharepoint that was “set up” for me was strictly out of the box. Not being a development, I was still able to muddle my way through setting up the site, established users, posting announcements and categories of content to which I uploaded about fifty or sixty documents.

The most annoying discovery was the lack of a default search option. Later updating to MOSS solved the problem but at the time it was a huge aggravation. Because I could not guarantee a search option would appear soon enough, I had to painstakingly create titles with dates in order to give team members a contextual description as they would browse the site. Some of the documents I wanted to share were published papers and reviews of products. Dates were not too relevant for those, so I “enhanced” the titles with my own notations to help the finders select what they needed.

These silly “homemade” solutions are not uncommon when a tool does not anticipate how we would want to be able to use it. They persist as ways to handle our information storage and retrieval challenges. Since the beginning of time humans have devised ways to store things that they might want to re-use at some point in the future. Organizing for findability is an art as much at it is science. Information science only takes one so far in establishing the organizing criteria and assigning those criteria to content. Search engines that rely strictly on the author’s language will leave a lot of relevant content on the shelf for the same reasons as using Dewey Decimal classification without the complementary card catalog of subject topics. The better search engines exploit every structured piece of data or tagged content associated with a document, and that includes all the surrounding metadata assigned by “categorizers.” Categorizers might be artful human indexers or automated processes. Search engines with highly refined, intelligent categorizers to enable semantically rich finding experiences bring even more sophistication to the search experience.

But back to Sharepoint, which does have an embedded search option now, I’ve heard more than one expert comment on the likelihood that it will not be the “search” of choice for Sharepoint. That is why we have so many search options scrambling to promote their own Sharepoint search. This is probably because the organizing framework around contributing content to Sharepoint is so loosey goosey that an aggregation of many Sharepoint sites across the organization will be just what we’ve experienced with all these other homegrown systems – a dump full of idiosyncratic organizing tricks.

What you want to do, thoughtfully, is assess whether the search engine you need will share only Sharepoint repositories OR both structured and unstructured repositories across a much larger domain of types of content and applications. It will be interesting to evaluate the options that are out there for searching Sharepoint gold mines. Key questions: Is a product targeting only Sharepoint sites or diverse content? How will content across many types of repositories be aggregated and reflected organized results displays? How will the security models of the various repositories interact with the search engine? Answering these three questions first will quickly narrow your list of candidates for enterprise search.

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