Summary from Enterprise Search and Discovery Summit 2017

Posted on November 13, 2017 by Webteam

This year at Enterprise Search and Discovery Summit, Findwise was represented by us – search experts Simon Stenström and Amelia Andersson. With over a thousand attendees at the event, we’ve enjoyed the company of many peers. Let’s stay in touch for inspiration and to create magic over the Atlantic – you know who you are!

Amelia Andersson and Simon Stenström, search experts from Findwise

Back to the event: We opened the Enterprise Search-track with our talk on how you can improve your search solutions through taking several aspects of relevance into account. (The presentation can be found in full here, no video unfortunately). If you want to know more about how to improve relevancy feel free to contact us or download the free guide on Improved search relevancy.

A few themes kept reoccurring during the Enterprise Search-track; Machine learning and NLP, bots and digital assistants, statistics and logs and GDPR. We’ve summarized our main takeaways from these topics below.

Machine learning and NLP

Machine learning and NLP were the unchallenged buzzwords of the conference. Everybody wants to do it, some have already started working with it, and some provided products for working with it. Not a lot of concrete examples of how organizations are using machine learning were presented unfortunately, giving us the feeling that few organizations are there yet. We’re at the forefront!

Bots, QA systems and digital assistants

Everyone is walking around with Siri or Google assistant in their pocket, but still our enterprise search solutions don’t make use of it. Panels were discussing voice based search (TV remote controls that could search content on all TV channels to set the right channel, a demo om Amazon Alexa providing answers for simple procedures for medical treatments etc.) pointing out that voice-to-text is now working well enough (at least in English) to use in many mobile use cases.

But bots can of course be used without voice input. A few different examples of using bots in a dialog setting were showed. One of the most exciting demos showed a search engine powered bot that used facet values to ask questions to specify what information the user was looking for.

Statistics and logs

Collect logs! And when you’ve done that: Use them! A clear theme was how logs were stored, displayed and used. Knowledge managements systems where content creators could monitor how users were finding their information inspired us to consider looking at dashboard for intranet content creators as well. If we can help our content creators understand how their content is found, maybe they are encouraged to use better metadata or wordings or to create information that their users are missing.

GDPR

Surprisingly, GDPR is not only a “European thing”, but will have a global impact following the legislation change in May. American companies will have to look at how they handle the personal information of their EU customers. This statement took many attendees by surprise and there were many worried questions on what was considered non-compliant of GDPR.

We’ve had an exciting time in Washington and can happily say that we are able bring back inspiration and new experience to our customers and colleagues at Findwise. On the same subject, a couple of weeks ago some or our fellow experts at Findwise wrote the report “In search for Insight”, addressing the new trends (machine learning, NLP etc) in Enterprise Search. Make sure to get your copy of the report if you are interested in this area.

Most of the presentations from Enterprise Search and Discovery Summit can be found here.

Authors: Amelia Andersson and Simon Stenström, search experts from Findwise

How it all began: a brief history of Intranet Search

Posted on February 12, 2015 by

In accordance to sources, the birth of the intranet fell on a 1994 – 1996, that was true prehistory from an IT systems point of view. Intranet history is bound up with the development of Internet – the global network. The idea of WWW, proposed in 1989 by Tim Berners-Lee and others, which aim was to enable the connection and access to many various sources, became the prototype for the first internal networks. The goal of intranet invention was to increase employees productivity through the easier access to documents, their faster circulation and more effective communication. Although, access to information was always a crucial matter, in fact, intranet offered lots more functionalities, i.e.: e-mail, group work support, audio-video communication, texts or personal data searching.

Overload of information

Over the course of the years, the content placed on WWW servers had becoming more important than other intranet components. First, managing of more and more complicated software and required hardware led to development of new specializations. Second, paradoxically the easiness of information printing became a source of serious problems. There was too much information, documents were partly outdated, duplicated, without homogeneous structure or hierarchy. Difficulties in content management and lack of people responsible for this process led to situation, when final user was not able to reach desired piece of information or this had been requiring too much effort.

Google to the rescue

As early as in 1998 the Gartner company made a document which described this state of Internet as a “Wild West”. In case of Internet, this problem was being solved by Yahoo or Google, which became a global leader on information searching. In internal networks it had to be improved by rules of information publishing and by CMS and Enterprise Search software. In many organizations the struggle for easier access to information is still actual, in the others – it has just began.

And the Search approached

It was search engine which impacted the most on intranet perception. From one side, search engine is directly responsible for realization of basic assumptions of knowledge management in the company. From the other, it is the main source of complaints and frustration among internal networks users. There are many reasons of this status quo: wrong or unreadable searching results, lack of documents, security problems and poor access to some resources. What are the consequences of such situation? First and foremost, they can be observed in high work costs (duplication of tasks, diminution in quality, waste of time, less efficient cooperation) as well as in lost chances for business. It must not be forgotten that search engine problems often overshadow using of intranet as a whole.

How to measure efficiency?

In 2002 Nielsen Norman Group consultants estimated that productivity difference between employees using the best and the worst corporate network is about 43%. On the other hand, annual report of Enterprise Search and Findability Survey shows that in situation, when almost 60% of companies underline the high importance of information searching for their business, nearly as 45% of employees have problem with finding the information.
Leaving aside comfort and level of employees satisfaction, the natural effect of implementation and improvement of Enterprise Search solutions is financial benefit. Contrary to popular belief, investments profits and savings from reaching the information faster are completely countable. Preparing such calculations is not pretty easy. The first step is: to estimate time, which is spent by employees on searching for information, to calculate what percentage of quests end in a fiasco and how long does it take to perform a task without necessary materials. It should be pointed out that findings of such companies as IDC or AIIM shows that office workers set aside at least 15-35% of their working hours for searching necessary information.
Problems with searching are rarely connected with technical issues. Search engines, currently present on our market, are mature products, regardless of technologies type (commercial/open-source). Usually, it is always a matter of default installation and leaving the system in untouched state just after taking it “out of the box”. Each search engine is different because it deals with various documents collections. Another thing is that users expectations and business requirements are changing continually. In conclusion, ensuring good quality searching is an unremitting process.

Knowledge workers main tool?

Intranet has become a comprehensive tool used for companies goals accomplishment. It supports employees commitment and effectiveness, internal communication and knowledge sharing. However, its main task is to find information, which is often hide in stack of documents or dispersed among various data sources. Equipped with search engine, intranet has become invaluable working tool practically in all sectors, especially in specific departments as customer service or administration.

So, how is your company’s access to information?

This text makes an introduction to series of articles dedicated to intranet searching. Subsequent articles are intended to deal with: search engine function in organization, benefit from using Enterprise Search, requirements of searching information system, the most frequent errors and obstacles of implementations and systems architecture.

Using search technologies to create apps that even leaves Apple impressed

Posted on January 22, 2015 by

At Findwise we love to see how we can use the power of search technologies in ways that goes beyond the typical search box application.

One thing that has exploded the last few years is of course apps in smartphones and tablets. It’s no longer enough to store your knowledge in databases that are kept behind locked doors. Professionals of today want to have instant access to knowledge and information right where they are. Whether if it’s working at the factory floor or when showcasing new products for customers.

When you think of enterprise search today, you should consider it as a central hub of knowledge rather than just a classical search page on the intranet. Because when an enterprise search solution is in place, when information from different places have been normalized and indexed in one place, then there really are no limits for what you can do with the information.

By building this central hub of knowledge it’s simple to make that knowledge available for other applications and services within or outside of the organization. Smartphone and tablet applications is one great example.

Integrating mobile apps with search engine technologies works really well because of four reasons:

It’s fast. Search engines can find the right information using advanced queries or filtering options in a very short time, almost regardless of how big the index is.
It’s lightweight. The information handled by the device should only be what is needed by the device, no more, no less.
It’s easy to work with. Most search engine technologies provides a simple REST interface that’s easy to integrate with.
A unified interface for any content. If the content already is indexed by the enterprise search solution, then you use the same interface to access any kind of information.

We are working together with a large Swedish manufacturing company. A company that has transformed itself from a traditional industry company into a knowledge engineering company over the last years. I think it’s safe to say that Findwise have been a big part of that journey by helping them create their enterprise search solution.

And of course, since we love new challenges, we have also helped them create a few mobile apps. In particular there are two different apps that we have helped out with:

A portable product brochures archive. The main use case is quick and easy access to product information for sales reps when visiting customers.
A mobile web app that you get to if you scan QR-codes printed on the package.

And even more recently the tech giant Apple has noticed how the apps makes the day to day work of employees easier.

Gamification in Information Retrieval

Posted on August 5, 2014 by

My last article was mainly about Collaborative Information Seeking – one of the trends in enterprise search. Another interesting topic is the use of games’ mechanics in CIS systems. I met up with this idea during previously mentioned ESE 2014 conference, but interest is so high, that this year in Amsterdam a GamifIR (workshops on Gamification for Information Retrieval) took place. IR community have debated about what kind of benefits can IR tasks bring from games’ techniques. Workshops cover gamified task in context of searching, natural language processing, analyzing user behavior or collaborating. The last one was discussed in article titled “Enhancing Collaborative Search Systems Engagement Through Gamification” and has been mentioned by Martin White in his great presentation about search trends on last ESE summit.

Gamification is a concept which provides and uses game elements in non-game environment. Its goal is to improve customers or employees motivation for using some services. In the case of Information Retrieval it is e.g. encouraging people to find information in more efficient way. It is quite instinctive because competition is an inherent part of human nature. Long time ago, business sectors have noticed that higher engagement, activating new users and establishing interaction between them, rewarding the effort of doing something lead to measurable results. Even if quality of data given by users could be higher. Among those elements can be included: leaderboards, levels, badges, achievements, time or resources limitation, challenges and many others. There are even described design patterns and models connected with gameplay, components, game practices and processes. Such rules are essential because virtual badge has no value until being assigned by user.

Collaborative Information Seeking is an idea suited for people cooperating on complex task which leads to find specific information. Systems like this support team work, coordinate actions and improve communication in many different ways and with usage of various mechanisms. At first glance it seems that gamification is perfect adopted to CIS projects. Seekers become more social, feeling of competence foster actions which in turn are rewarded.

The most important thing is to know why do we need gamified system and what kind of benefits we will get. Next step is to understand fundamental elements of a game and find out how adopt them to IR case. In their article “Enhancing Collaborative Search Systems Engagement Through Gamification”, researchers of Granada and Holguin universities have listed propositions how to gamify CIS system. Based on their suggestions I think essential points are to prepare highly sociable environment for seekers. Every player (seeker) needs to have own personal profile which stores previous achievements and can be customized. Constant feedback on progress, list of successful members, time limitations, keeping the spirit of competition by all kinds of widgets are important for motivating and building a loyalty. Worth to remember that points collected after achieving goals need to be converted into virtual values which can distinguish the most active players. Crucial thing is to construct clear and fair principles, because often information seeking with such elements is a fun and it can’t be ruined.

Researchers from Finnish universities, who published article “Does Gamification Work?”, have broken down a problem of gamifying into components and have thoroughly studied them. Their conclusion was that concept of gamification can work, but there are some weaknesses – context which is going to be gamified and the quality of the users. Probably, the main problem is lack of knowledge which elements really provide benefits.

Gamification can be treated as a new way to deal with complex data structures. Limitations of data analyzing can be replaced by mechanism which increase activity of users in Information Retrieval process. Even more – such concept may leads to more higher quality data, because of increased people motivation. I believe, Collaborative Information Seeking, Gamification and similar ideas are one of the solutions how to improve search experience by helping people to become better searchers than not by just tuning up algorithms.

Enterprise Search Europe 2014 – Short Review

Posted on May 23, 2014 by

ESE Summit

At the end of April a third edition of Enterprise Search Europe conference took place. The venue was Park Plaza Victoria Hotel in London. Two-day event was dedicated to widely understood search solutions. There were two tracks covering subjects relating to search management, big data, open source technologies, SharePoint and as always – the future of search. According to the organizer’ information, there were 30 experts presenting their knowledge and experience in implementation search systems and making content findable. It was opportunity to get familiar with lots of case studies focused on relevancy, text mining, systems architecture and even matching business requirements. There were also speeches on softer skills, like making decisions or finding good employees.

In a word, ESE 2014 summit was great chance to meet highly skilled professionals with competence in business-driven search solutions. Representatives from both specialized consulting companies and universities were present there. Even second day started from compelling plenary session about the direction of enterprise search. Presentation contained two points of view: Jeff Fried, CTO in BA-Insight and Elaine Toms, Professor of Information Science, University of Sheffield. From industrial aspect analyzing user behavior, applying world knowledge or improving information structure is a real success. On the other hand, although IR systems are currently in mainstream, there are many problems: integration is still a challenge, systems working rules are unclear, organizations neglect investments in search specialists. As Elaine Toms explained, the role of scientists is to restrain an uncertainty by prototyping and forming future researchers. According to her, major search problems are primitive user interfaces and too few systems services. What is more, data and information often become of secondary importance, even though it’s a core of every search engine.

Trends

Despite of many interesting presentations, particularly one caught my attention. It was “Collaborative Search” by Martin White, Conference Chair and Managing Director in Intranet Focus. The subject was current condition of enterprise search and requirements which such systems will have to face in the future. Martin White is convinced that limited users satisfaction is mainly fault of poor content quality and insufficient information management. Presentation covered absorbing results of various researches. One of them, described in “Characterizing and Supporting Cross-Device Search Tasks” document, was analysis of commercial search engine logs in order to find behavior patterns associated with cross device searching. Switching between devices can be a hindrance because of device multiplicity. That is why each user needs to remember both what he was searching and what has already been found. Findings show that there are lots of opportunities to handle information seeking more effectively in multi-device world. Saving and re-instating user session, using time between switching devices to get more results or making use of behavioral, geospatial data to predict task resumption are just a few examples of ideas.

Despite everything, the most interesting part of Martin White’s presentation was dedicated to Collaborative Information Seeking (CIS).

Collaborative Information Seeking

It is natural that difficult and complex tasks forced people to work together. Collaboration in information retrieval helps to use systems more effectively. This idea concentrate on situations when people should cooperate to seek information or sense-make. In fact, CIS covers on the one hand elements connected with organizational behavior or making decision, on the other – evolution of user interface and designing systems of immediate data processing. Furthermore, Martin White considers CIS context to be focused around the complex queries, “second phase” queries, results evaluation or ranking algorithms. This concept is able to bring the highest values in the domains like chemistry, medicine and law.

During the CIS exploration some definitions appeared: collaborative information retrieval, social searching, co-browsing, collaborative navigation, collaborative information behavior, collaborative information synthesis. My intention is to introduce some of them.

1. “Collaborative Information Seeking”, Chirag Shah

Collaborative Information Retrieval (CIR) extends traditional IR for the purposes of many users. It supports scenarios when problem is complicated and when seeking common information is a need. To support groups’ actions, it is crucial to know how they work, what are their strengths and weaknesses. In general, it might be said that such system could be an overlay on search engine re-ranking results, based on users community knowledge. In agreement with Chirag Shah, the author of “Collaborative Information Seeking” book, there are some examples of systems where workgroup’s queries and related results are captured and used to filtering more relevant information for particular user. One of the most absorbing case is SearchTogether – interface designed for collaborative web search, described by Meredith R. Morris and Eric Horvitz. It allows to work both synchronously and asynchronously. History of queries, page metadata and annotations serve as information carrier for user. There had been implemented an automatic and manual division of labor. One of its feature was recommending pages to another information seeker. All sessions and past findings were persisted and stored for future collaborative searching.

Despite of many efforts made in developing such systems, probably none of them has been widely adopted. Perhaps it was caused partly by its non-trivial nature, partly by lack of concept how to integrate them with other parts of collaboration in organizations.

Another ideas associated with CIS are Social Search and Collaborative Filtering. First one is about how social interactions could help in searching together. What is interesting, despite of rather weak ties between people in social networks, their enhancement may be already observed in collaborative networks. Second definition referred to provide more relevant search results based on user past behavior, but also community of users displaying similar interests. It is noteworthy that it is an example of asynchronous interaction, because its value is based on past actions – in contrast with CIS where emphasis is laid to active users communication. Collaborative Filtering has been applied in many domains: industry, financial, insurance or web. At present the last one is most common and it’s used in e-commerce business. CF methods make a base for recommender systems predicting users preferences. It is so broad topic, that certainly deserves a separate article.

CIS Barriers

Regardless of all these researches, CIS is facing many challenges nowadays. One of them is information security in the company. How to struggle out of situation when team members do not have the same security profile or when some person cannot even share with others what has been found? Discussed systems cannot be only created for information seeking, but also they need to provide managing security, support situations when results were not found because of permissions or situations when it is necessary to view a new document created in cooperation process. If it is not enough, there are various organization’s barriers hindering CIS idea. They are divided into categories – organizational, technical, individual, and team. They consist of things such as organization culture and structure, multiple and un-integrated systems, individual person perception or varied conflicts appeared during team work. Barriers and their implications have been described in detail in document “Barriers to Collaborative Information Seeking in Organizations” by Arvind Karunakaran and Madhu Reddy.

Collaborative information seeking is exciting field of research and one of the search trend. Another absorbing topic is gamification adopting in IR systems. This is going to be a subject of my next article.

Reaching Findability #3

Posted on September 27, 2013 by

Findability is surprisingly complex due to the large number of measures needed to be understood and undertaken. I believe that one of the principal challenges lies within the pedagogical domain. This is my third post in a series of simple tips for reaching Findability.

Link your information assets!

Often, the information needed to efficiently perform a certain task is spread out in different locations. Just imagine the amount of applications, web pages and windows you need to open on an average workday! These systems all have their own interfaces and sets of content and rules, which often leads to cognitive stress on the individuals using them. A lower overall efficiency than one might expect follows.

A search platform is one way of simplifying everyday work for these individuals, by making information in several systems available from one single location. And in one interface, that acts the same regardless of what information I am looking for. This can be achieved by linking several data sources using a search platform, effectively creating an Enterprise Search solution. The benefit for certain processes and individuals can be dramatic.

The foundation for an Enterprise Search solution is a well-planned architecture and control of the most important and strategic information assets. One of the success factors is planning big but starting out small. While the long-term goal might be a common search platform, the first project could very well aim for connecting only one or a few data sources. That way, the platform is realized in small, manageable steps, all leading toward the same goal. With the right prioritizations, business value is created every step of the way. New ideas can be tested and problems mitigated before the consequences become difficult to handle.

What types of systems and data sources can be linked together in your Enterprise Search platform? All that we have come across in some hundreds of projects; intranets, web sites, ERPs, document management systems, file shares and databases. To mention a few.

Sign up now for seminars and courses this fall

Posted on July 4, 2013 by

Starting in September 2013 we have a number of upcoming seminars and trainings this fall. Before we go on holiday I want to take this opportunity to urge you to check them out.

Want to learn a practical approach to Sharepoint solution design?

September 9^th we at Findwise open our doors to a master class suitable for anyone who is struggling with matters of findability and content strategy regardless of platform – social, mobile or traditional web sites, internally or externally. For this occasion we have invited Seth Earley, a highly inspirational tutor and expert in the findability area who will share unique experiences and knowledge of how to use Sharepoint (SP 2013, SP 2010 and FAST for Sharepoint) information architecture to create business value.

Impressions from Findability Day 2013

Posted on June 13, 2013 by

We at Findwise host Findability Day to raise awareness of the importance of enterprise search and search in business, big data and to share best practices in implementation and management as well as inform about technology developments. Attending and being part of Findability Day this year was a real energy boost for all of us at Findwise. We were about 200 attendants all with focus on search and big data.

On stage, we had some very inspiring presentations. Martin White explaining the journey of search and pointing out its future direction showed how the principles of search have been around for decades. What we use it for and how we approach it is key along with enabling technology. Martin has also written a blog post about his impressions from the event, read it here.

Ravi Mynampaty of Harvard Business School showed how the search journey has evolved within Harvard Business School. One take away was the importance of step by step implementation and ensuring satisfied stakeholders along the way. Christian Finstad of Meltwater explained how they connected business values with technology to convince their clients. I think an internal decision within an organization needs similar argumentation in order to win acceptance.

Johan Johansson gave a thorough presentation about the search project at the Municipality of Norrköping. This was a tight budget project with strong deliverables. One thing to remember from Johan was his talk about “you need to try it out yourself – do the most common searches and experience it”.

DJ Skillman from Splunk, Troels Walsted Hansen from Microsoft and Daniel Bergqvist from Google gave some interesting insights into new technologies. How Splunk can be used to just harvest every imaginable data type, just bring it in and worry about using it later. How Google want to align enterprise search with consumer search and Microsofts Facebook inspired developments within graph search.

We also had some great breakout sessions with Jonas Berg, Svensk Byggtjänst who showed us their partner search application, Martin Öhléen, SKF who talked about mobility, Sebastian Forseland, Husqvarna who gave an expert lecture on master data management and Niclas Lillman&Nicklas Eriksson, Scania who talked about their journey towards a common search solution for all their knowledge workers.

If you weren’t there or if you just want to see it again we have posted videos of the presentations and most of the slides here.

We would like to thank everybody who came to the event – you made it a real success. A big thanks also goes out to our sponsors Google and Splunk who made this event possible.

The networking possibilities at the location were great and really demonstrated how the Search industry is growing. We are very happy with the event but there is of course always room for improvement for next year. Make sure to be there!

Microsoft is betting on cloud, mobile and social for SharePoint 2013 – Impressions from the SharePoint Conference 2012

Posted on January 9, 2013 by

Over 10,000 attendees from 85 countries, more than 200 sponsors and exhibitors, and over 250 sessions. Besides these impressive numbers, the 2012 SharePoint conference in Las Vegas has also marked the launch of the new version of SharePoint. Findwise was there to learn and is now sharing with you the news about enterprise search in SharePoint 2013.

In the keynote presentation on the first day of the conference, Jared Spataro (Senior Director, SharePoint Product Management at Microsoft) mentions the three big bets made for the SharePoint 2013 product: CLOUD, MOBILE, and SOCIAL. This post tries to provide a brief overview of what these three buzzwords mean for the enterprise search solution in SharePoint 2013. Before reading this, also check out our previous post about search in SharePoint 2013 to get a taste of what’s new in search.

Search in the cloud

While you have probably heard the saying that “the cloud has altered the economics of computing” (Jared Spataro), you might be wondering how to get there. How to go from where you are now to the so-called cloud. The answer for search is that SharePoint 2013 provides a hybrid approach that helps out in this transition. Hybrid search promises to be the bridge between on-premises and the cloud.

The search results from the cloud and those from on-premise can be shown on the same page with the use of the “result blocks”. The result block, new to SharePoint 2013, is a block of results that are individually ranked and are grouped according to a “query rule”. In short, a query rule defines a condition and an action to be fired when the condition is met. With the use of the result blocks, you can display the search results for content coming from the cloud when searching from an on-premises site and the other way around (depending whether you want the search to be one-way or bidirectional), and you can also conditionally enable these result blocks depending on the query (for example, queries matching specific words or regular expressions).

Screenshot from the post Hybrid search of the Microsoft SharePoint Team Blog showing how results from the cloud are integrated in the search results page when the user searches from an on-premises SharePoint 2013 site.

Before making the decision to move to the cloud, it is wise to check the current features availability for both online and on-premise solutions on TechNet.

Mobile devices

With SharePoint 2013, Microsoft has added native mobile apps for Windows, Windows Phone, iPhone, and iPad, and support across different mobile devices (TechNet), which provides access to information and people wherever the users are searching from.

Also important to mention when talking about mobile, is that the improved REST API widens the extensibility options and allows easy development of custom user experiences across different platforms and devices. The search REST API provides access to the keyword query language parameters, and combining this with a bit of JavaScript and HTML allows developers to quickly start building Apps with custom search experiences and making all information available across devices.

Social search

In the same keynote, Jared Spataro said that Microsoft has “integrated social very deeply into the product, creating new experiences that are really designed to help people collaborate more easily and help companies become more agile.” This was also conveyed by the presence of the two founders of the enterprise social network Yammer in the keynote presentation. The new social features integration means that the information about people following content, people following other people, tags, mentions, posts, discussions, are not only searchable but can be used in improving the relevance of the search results and improving the user experience overall. Also, many of the social features are driven by search, such as the recommendations for people or documents to follow.

Whether you are trying to find an answer to a problem to which the solution has already been posted by somebody else, or whether you are trying to find a person with the right expertise through the people search, SharePoint 2013 provides a more robust and richer social search experience than its previous versions. And the possibilities to extend the out-of-the-box capabilities must be very attractive to businesses that are for example looking to combine the social interactivity inside SharePoint with people data stored in other sources (CRM solutions, file shares, time tracking applications, etc).

Stay tuned!

It was indeed an awesome conference, well organized, but most of the times it was hard to decide which presentation to choose from the many good sessions running at the same time. Luckily (or wisely), we had more than one Findwizard on location!

This post is part of our series of reports from the SharePoint 2012 Conference. Keep an eye on the Findability blog for part two of our report from the biggest SharePoint conference of 2012!

Enterprise Search in Practice: A Presentation of Survey Results and Areas for Expert Guidance

Posted on November 29, 2012 by

Enterprise search in practice presentation has two main focuses. First, to present some interesting and sometimes rather contradicting findings from the Enterprise Search and Findability survey 2012. Second, to introduce an holistic approach to implementing search technology involving five different aspects that are all important to succeed and to reach findability rather than just the ability to search.

Presented at Gilbane Conference 2012 in Boston USA on the 28th of November by Mattias Ellison.

Enterprise Search in Practice: A Presentation of Survey Results and Areas for Expert Guidance from Findwise

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the enterprise search and findability blog by Tietoevry Findwise

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