TIBCO Software Management Host "What's New with TIBCO Spotfire® version 4.5" Call (Transcript)

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TIBCO Software, Inc. (NASDAQ:TIBX) "What's New with TIBCO Spotfire® version 4.5" Call May 31, 2012 1:00 PM ET


Brett Stupakevich

Lou Jordano

Brett Stupakevich

Good afternoon. Good morning. Wherever you happen to be joining us from in the world today, folks, welcome. This is Brett Stupakevich of TIBCO Spotfire. I'd like to thank you for attending our webcast today, What's New with Spotfire 4.5, presented by Director of Product Marketing, Lou Jordano.

Just a few items before we begin. If you have questions at any point, you could submit those using the Q&A box on the bottom right-hand corner of your screen. We will field those questions once this presentation has concluded. Also, today's webcast is being recorded, and you'll have access to playback through a link, which will be emailed after this live web session.

So again, thank you for attending today's webcast, and I'd now like to turn it to our presenter, Lou Jordano.

Lou Jordano

Great. Thanks very much, Brett. Well, hello there. My name is Lou Jordano, and I head up product marketing for TIBCO Spotfire, as Brett mentioned. And I would like to walk you through what's new in Spotfire version 4.5. This latest release is now generally available on TIBCO -- on download.tibco.com. So there's a lot in this release, so why don't we walk through it here.

We've made a number of substantial improvements in this release, and they can be grouped generally under a few key topics, which you see here on this slide. I'll go into detail for each one of these broad topics so that you can understand what's new at a feature level in Spotfire version 4.5.

You can note though that in November 2011, we made generally available Spotfire version 4.0. You can tell just by the numbering of this release, this is now 4.5. There's a fair set of improvements here in this release that we're very excited about and I'm eager to walk you through, so why don't we just dive into things. And then, as Brett mentioned, we'll have some time at the end for Q&A. I would also encourage you to submit your questions during the presentation. If you submit them online, I'll do my best to answer the questions in real time as I walk through the different slides or topic areas, so feel free to fire questions over and, where possible, I'll do my best to answer them real time. And what I can't catch in real time, we'll catch at the end of the presentation.

So why don't we start off then by looking at version 4.5 through the lens of predictive analytics. We've invested a lot of time and effort in this release to broaden our predictive analytics capabilities. Spotfire's approach towards predictive analytics is quite unique. We really take an ecosystem approach to enable application authors in Spotfire to leverage existing predictive models and statistical investments that they may have made elsewhere. So we want to make it easy for those authors to build very powerful predictive models and statistical features into Spotfire applications that are known for their ease-of-use from the end-user's point of view. So the ultimate goal then of this ecosystem approach is to really enable the broad population of business users who may not have a statistical background to benefit from the applications that the people with statistical training actually have. And by that, those business users can therefore benefit from those predictive analytics that are baked into their applications and make better and more informed decisions faster.

So we've done this historically with S+ and R, and many have appreciated the value of that approach. And what we're really excited to unveil here today is that in 4.5, we've extended our ecosystem now with a new integration for SAS and for MATLAB. So SAS and MATLAB are now integrated with Spotfire, just like R and S+. So in this case, an application author in Spotfire who is already licensed to use SAS and MATLAB separately, so those are separate licenses with Spotfire, that Spotfire application author will continue to develop scripts in those other proprietary systems but they can now embed those proprietary scripts into a Spotfire app, which can then be broadly distributed to a set of business users. So just like we had with our S+ and R integrations, Spotfire version 4.5 is going to now call out also to SAS and to MATLAB, and here we're using our statistical services on server, which is going to manage the activity of the SAS and MATLAB engines. And it will bring back the result sets from those external systems.

So from a statistician's point of view, I think this is very exciting and very powerful stuff. You can now leverage your existing SAS and MATLAB investments and make them more broadly available by embedding those scripts into Spotfire. So we actually even in this release provide some sample data functions. These are basically simple tutorials to show how to call SAS or MATLAB from Spotfire.

So there's certainly lots of use cases here. But one particular that might be worth calling out would be in the life sciences area, specifically in clinical environments. In clinical, application authors in Spotfire regularly use SAS to extract data and prepare it and then do an initial analysis of that data in SAS. Now with Spotfire 4.5, those same clinicians can essentially use SAS as a data source by pulling data into Spotfire, calling out to SAS and loading existing data preprocessing scripts in SAS and pulling the results back into Spotfire. So again, separate licensing for SAS and MATLAB. But if you have those applications in-house today, you can bring those scripts and embed them into a Spotfire app and then distribute that Spotfire application to consumers who would really benefit from all the decision-making capabilities and insights that would be driven from a stats engine or a MATLAB script, so really excited about this integration here and this broadening of our ecosystem.

Just to put a fine point on it, I want to be really clear, this is not about making the capabilities of SAS and MATLAB freely available to just anybody in an organization so that they can do ad hoc analysis, not at all. Instead, what this integration is all about is enabling a Spotfire application author who already has a license for SAS or for MATLAB to leverage their existing SAS or MATLAB scripts and embed them into a Spotfire application that they are building and then distribute that Spotfire application across the enterprise to a business population that's going to benefit from those scripts, which are still going to be run in those proprietary statistical engines.

So let's take a look now, here's another very powerful set of improvements that Spotfire 4.5 provides on the predictive analytics front. We've made some common predictive analytic methods for S+ and R to be available out of the box now in the Spotfire platform. So once again, this set of improvement targets the Spotfire application author who has some familiarity already with statistics or wants to have some. They can now more quickly embed commonly used data functions into their Spotfire app instead of creating those functions from scratch.

So there's a set of these out of the box functions now for S+ and R, and they're published to the Spotfire library as templates. And we also publish sample DXPs that are using those templates. Now these templates are basically best practices for creating a data function that's flexible in terms of its inputs and outputs, so it should really go a long way towards helping you create those functions and get you up and running quickly with them.

Now when somebody initially installs the Spotfire Server, they can install those out of the box data functions right then, right at that point of installation, or they can install the data functions at a later point in time. But either way, these data functions, regardless of when they're installed, they're going to reside in the Spotfire core platform, but they will require statistical services to be run. So these out of the box functions will enable, again, Spotfire authors to immediately add predictive analytic capabilities into the application that they're building and then distributing.

Now these out of the box functions, you really see the development of those apps, and we've included many out of the box functions. And I have them listed on the next slide. And we chose them based on their popularity across industry verticals, as well as on their general utility so -- and also their simplicity. So it really should be -- an application author who might not have to be very extremely familiar with S+ and R, they should be able to get up to speed quickly and embed some of these out of the box functions in their applications. Now the goal here again is by providing these out of the box data functions as we want to target the authors of Spotfire apps to quickly create predictive analytics capabilities within an application that can then be distributed to a broader business population that may not have statistical background.

So let me walk us through then what some of the specific data functions are for S+ and R that are now available right out of the box in Spotfire 4.5. As you can see, we've tried to provide a variety of data functions here because they're very useful and they're commonly used across a variety of industries. So again, these functions all require statistical services to be executed, and they have to be installed in the Spotfire library in the core platform at some point here at initial installation of the server or at some point thereafter. But I think we've done a nice job of picking a range of out of the box functions here to include. So there's a range of data exploration and reduction functions available here like principal component analysis. We've included some predictive modeling, regression methods like linear regression or logistic regression methods here, as well as time series and scatter plot smoothing. So a nice range of out of the box functions that should really go a long way towards helping Spotfire application authors embed these data functions or include these data functions very quickly in the applications that they're creating for others.

Okay. So that's a quick look then at predictive analytics and Spotfire 4.5. I'm going to pause at this moment and take a quick look at the Q&A panel and see if any questions have been submitted so far, so I offer this as a gentle reminder to you to submit those questions, if you haven't already.

Let's see here. So why don't we then take a look at mobility, I guess, as questions will trickle in here. If I can advance the slide. Here we go. So mobility in the Spotfire 4.5, a lot to talk about here as well. So this is the deployment kit for Apple iPad. So the Spotfire has had a mobile application capability for quite some time. It is very widely used. And in 4.5, with this deployment kit, we've invested significant amount of hours to improve the performance of the app to make sure that it provides the best performance, it's compatible with several versions of the web player, it addresses a broad range of authentication mechanisms. And we've really been ruthless in terms of taking out any memory leaks or performance improvements that we can provide, so this is really a nicely tuned deployment kit here for Apple iPad.

So what we're announcing here on this mobile front is this deployment kit for the iPad, and this is really going to give you and your partners the ability to do 2 things with the mobile app that you deploy to your end users. On the one hand, you're going to be able to brand your Spotfire mobile app with your own company logo and with your own company font that's in accordance with your company's branding requirements or guidelines. In addition to that -- and so we would call that white labeling, right? So we are -- we've provided a white label app that you can then brand as you see fit with -- and perhaps with help from a partner, if you'd like.

In addition to that, we've also enabled you to configure your mobile app to a fair extent. So when an end-user opens the mobile app, they're now going to start in 1 of 2 modes, either the explore mode or the analyze mode. And I'm going to use my cursor here, my mouse and look at the screenshot here that you see on this slide. And you can see the modes on the top left-hand corner of this screenshot. There's the explore mode and the analyze mode. The analyze mode is what's highlighted in this particular screenshot. So we've enabled you to configure each one of these modes to a fair extent so that when the end user opens the mode, they see a certain set of functions available to them.

So let's see. So in this screenshot, again, we're looking at the analyze mode. And when you open the app, when the end user opens the app, they will be automatically starting in the mode that's most appropriate for them, and that's a configuration setting that you can arrange when deploying this mobile app. There are some other configuration capabilities for each mode. So specifically, you can configure the app to have up to 5 tabs appearing in the explore mode. So in this screenshot, if you look at my mouse here, you can see 3 tabs. Now again, we're in the analyze mode. You can see 3 tabs: 1, 2 and 3. So if we were in the explore mode, you could actually see up to 5 tabs listed here. So that's what I'm talking about is right over here. You can configure in the analyze mode so that all the right-hand tab bar buttons are removed as well, which is great. And while the explore and analyze mode buttons themselves are not removed, they can be configured to intelligently disappear, so you can basically disable, for example, the exploration of a particular library. So if you want to direct or force a user towards a single analysis file therefore, you would be able to do that through some of these configuration settings in this deployment kit.

So those are some nice enhancements we've made, both on the branding front, as well as on the configuration front, which we know will be quite helpful for folks. In addition, I want to point out that the way we've structured this deployment kit is that, as the slide indicates towards the bottom here, you see really now Spotfire engineering that is going to work with Apple to make sure that we're keeping up to date with Apple's APIs and their different policies. And then, you as the consumer or customer of this app don't have to worry about coding the app. You can simply focus on configuring it, as I talked about just a moment ago, and then deploying it. So you should think about having a mobile app deployed across your organization, if you don't have one already for the iPad. This is something that you would be able to configure and deploy really in less than an hour. It doesn't require any coding. And on the back end, you can be certain that the Spotfire engineering team is going to keep it up to date with Apple.

So a lot of nice things here from a mobility point of view that if you haven't deployed already, you really might want to consider this. I know there's one question out there around Apple iPad. What about Android or other devices, phones and those kinds of things? What I would probably state here is that mobility is something that's built into our platform, so this is something that we take very seriously from an engineering point of view. So we are focused right now on the Apple iPad. Because as we see it in our customer base and prospects that we're talking to, the Apple iPad is the 800-pound gorilla in terms of mobility right now.

So we've provided some really nice capabilities in this deployment kit in 4.5 to enhance the iPad experience. In time, you can be certain that we will continue to invest in mobility and broaden the range of devices and tablets that we support. But we certainly are focused right now on the Apple iPad, just given its overwhelming population and popularity in the customer environment. So this is where we are right now. And just from a directional point of view, mobility is critical and would be something that we continue to develop on.

Okay. So why don't I take a look then here at some of the dashboard and general usability topics here in 4.5. We've made a number of improvements for dashboarding, which has been a key focus for us for some time, as well as some of the enhancements that we've made in this release in terms of overall usability. So a lot of effort has gone in here. Spotfire has been well known for its ease-of-use, and we continue to drive down that lane.

So in terms of new chart types, we've now added a bullet graph. This is great for dashboards here. The bullet graph, as you know, is great for comparing actual value like sales to date, for example, against a particular goal or target. So this is used in dashboard applications. You can imagine what are my -- what's the status of my quarterly sales right now versus my quarterly target or goal or my annual goal, those kinds of things. And you can display that through a bullet graph.

And as you can see from this slide, we've enabled it now so authors of a Spotfire analytic app can embed the bullet graph into their text areas, and they can even make it so that they can guide users to a particular tab in the analysis very quickly. So on the top here, you see a couple of screenshots. On the top, you see the graphical table, part of our dashboard push here. And you can now see it with a bullet graph shown. Now at the bottom of the slide, you can see where we've added some additional capabilities to the bullet graph so that now, a user can simply right click the bullet graph and be taken specifically to an additional page in the analysis.

Okay, so why don't we look at some other dashboarding improvements here. Sparklines, which we introduced not too long ago. We introduced that in version 4.0, which was again November of 2011, and these dashboard improvements continue to get better. Here in 4.5, we're now enabling you to customize the width and the color of the sparklines. And I'm pointing them out here with my mouse on the screenshot. Right, so you can now customize that. So as you can appreciate, using color and using size can have a dramatic effect on how an end-user experiences their data, their visualization. And we've now enabled you -- through the settings pop-up here, you can see that you could adjust the width of the sparkline, as well as the color of the sparklines through the appearance setting here. Right, so a nice usability improvement here to help you customize what sparklines look like.

Same goes for page handling here, which we've improved in 4.5. What we've enabled now is right-click support on page tabs. So you can quickly delete one or several pages within an analysis file. Again, if you look at the screenshot here, what you see is a series of 3 tabs, sales history detail, right here, right across the top. And then what we enable here is when the user right clicks on this tab, they get this menu choice here. And what we've enabled now is delete all pages, as well as delete all but this page. So these are new menu options that are available now in 4.5. Again, the goal here is through this one-click capability is to improve the overall user experience and provide really the type of interaction today that many people expect from Spotfire, so nice improvement here with page handling.

Let's take a look at how we've improved axis range handling as well. So another usability improvement here in 4.5, we've increased the axis ranges so they now match the maximum data values shown. So you can see now in these 2 screenshots, let's start off at the bottom here in Spotfire 4.0. You can see I've got a stack bar here with a value -- a cumulative value of 478. Now in version 4.0, that stack bar exceeded the maximum value of the axis here, which you can see only went up to 450. So what we've enabled now in 4.5 is the axis value now more closely matches what's shown in the bar chart, right? And I'm showing an example here of a bar, but you can also do a combination or scatter plot, line chart, as well as box-plots. So I think these 2 screenshots nicely show how this axis range has improved in this release.

A couple questions coming in. Yes, for certain, you'll get a copy of this presentation, as well as a recording as well.

Okay, let's see here. Graphical table drag and drop menu, so this has been substantially improved here. Again, another improvement on the usability front. So now the graphical table now supports more drag and drop functionality as well in 4.5, more context menu functionality, so users can really more quickly reconfigure their tables here. So this is a pretty dramatic improvement over 4.5 in terms of the drag and drop functionality here. You've got more control of these menus here around what exactly and how you want to reconfigure the tables, so nice improvement there on drag and drop for graphical tables.

And also on graphical tables, we've provided right-click support for columns, so now you can immediately adjust your settings for the column. So you can see here again in this screenshot, you could now, by simply right clicking on the graphical table, with a particular column in mind, you could duplicate the column or switch its placement, those kinds of things, manipulate the settings more efficiently in this fashion, so nice improvement here in terms of graphical tables with right-click support.

Moving on, we see some advanced export options to PDF as well, so we've actually provided a fair amount of improvement here as well. So you can now choose between raster or vector graphics, for example. So you can put out really nice-looking PDFs towards your visualizations or tables, and we also added the ability to put in custom headers and footers and to arrange the text and font settings of them, so nice improvements here. We've also added in the ability to export to PDF Hebrew text. So when you export Hebrew text to PDF now, it will now read from right to left, and we've also enabled users to export to PDF -- to paper, size A3. So some good improvements here on exporting to PDF, again, more things on the usability front.

And to carry this just a little bit further, nice automation features here in 4.5 burst reporting for rapid fire production of PDFs. So here, you can now export a page using a bookmark or a categorical filter, as you see here, as a guide, like state for example, and have the system go through. And for each one of those settings you select, export a PDF page for each one of those values. So this would make for some sharp outputs, but they would be produced very quickly simply by working here as you see export -- the dialogue box, export to PDF, select your filter types and values and away you go. So some good screenshots here that I think nicely capture how to automatically generate multiple reports into PDF format by using the filters and bookmarks.

And then one more item for us here in this dashboard and general usability, if you're in the life sciences area and you're using a Lead Discovery product, in this release, we now support the MarvinSketch for chemicals substructure searches. So this is now available as an editor in structure search for Spotfire Lead Discovery, so this is really going to enable users of Lead Discovery to draw and edit chemical structures directly from -- within Spotfire. So again, a nice time savings here and again, a good screenshot that I think captures some of the new editing capabilities that you're able to do within Lead Discovery.

Okay, on the administrative front, now just as Spotfire has been very well known for quite some time on the ease-of-use on the front end for end-users who are using Spotfire, we've invested a significant amount of time and effort in 4.5 to simplify the administrative experience on the back end. So there's a lot here, I'd like to take a look at this. But again, we recognize, Spotfire has been well known for its ease-of-use up front. We're now trying to simplify the life of the administrator on the back end, and we've done that in a variety of ways. And we actually started off at the very beginning. A big piece of this release that we've overhauled, the installation process of Spotfire.

So the goal here was to simplify and expedite the time and effort, really, required to initially install Spotfire, so there's a couple of things here. You're now able to run the installation through a script, which should make it a lot easier for administrators that need to install lots of servers in a complex environment. And so those administrators can now define exactly how they want the installation to be run. If you're a script, that will help configure this server. So this should really save a lot of time here in terms of installation and configuration.

And on the right-hand side of the slide, you see an example of what a script might look like. There's also few features in here that make it easier to set up a low balanced environment so that the servers, once they are installed, can automatically register, for example, within a cluster. There's also been several improvements on how error messages are being handled. So a good testament here right out of the gate on trying to make things easier for the Spotfire administrator.

Let's take a look at some additional improvements we've made for administrators. So we've simplified the installers across platforms, so now separate for 64- and 32-bit platforms. And the reason for this naturally is we want to make it IT-friendly, have a more standards-based approach to reduce your overall risk and improve the control. What we've actually done here with some of these server-side improvements is we've eliminated 50% of the steps required to install a Spotfire server. So that is going to dramatically reduce the amount of our time and effort required to install a Spotfire Server, dramatically simplified here. Also, for those smaller server installers that you can now download it in less than a minute, and there's some also improved capabilities around recovery and repair of server installations, and we'll talk about that more in just a moment as well.

So a lot here, I think you'd agree on the server side for the back-end administrator. We've also done a lot on the documentation side to simplify, making it a little bit easier for people to follow along and install. So we've provided a lot of detail now in 4.5 for how to install and configure a Spotfire Server. As you can see here, here's a good screenshot walking through the documentation. You can see down at the bottom here, the reference for some commands as well for administrators. So this should really give people a much clearer idea as what's required to install Spotfire and it really does a nice job of spelling out exactly what the details are for those more advanced or complex configurations, so great leaps and bounds improvements here on the documentation front, which, I'm sure, is welcomed.

On the monitoring front, so it just keeps adding on here with the improvements for Spotfire administrators. We've significantly improved the monitoring capabilities here, so a lot of improvements here in the performance side of things. This really relates obviously to Spotfire Servers, as well as to Web Players. Spotfire administrators can now monitor their system health and their activity in one standards-based environment. So that's what's key here is it's standards-based. So now Spotfire Servers and Web Players, what they've really done here is they've enabled those Servers and Web Players to emit information of what the actual physical machines that they're running on. So you can learn through one environment about their performance, about their health and so you can determine how well they're running.

Now the standards here that we're looking at is JMX, this is industry standard, and there are several products out of the marketplace today that are very well known and abide by the JMX standards. HP makes one, which is known as OpenView. TIBCO happens to make one of the leading JMX compliant monitoring capabilities out there. It's called TIBCO Hawk, so that's a major system there for monitoring, TIBCO Hawk. And there's also JConsole, which is part of the Java environment, and it's often a freeware type of a solution there.

So this is real-time server monitoring, using JMX. We're monitoring LDAP and database availability, providing immediate notification of failures, and it can also just provide quick verification that all the components are functioning properly. And you can use it to check performance metrics of the Spotfire Server, a lot here. Also, Spotfire admins can now restart a Spotfire server remotely. So this is especially important for those more complex deployments across multiple geographies. You need to have your administrator be able to start a Spotfire Server remotely, so we've enabled that capability now in 4.5.

And again, the administrator has increased capabilities in this release because they can now look at log activity, and they can even change the configuration of the logs as well. They could look, for example, at the connection pool for particular data source and see how many user sessions are in that connection pool at any given time. So a lot more visibility into the health and performance of the Spotfire environment. And again, this is done through JMX standard here, which is supported by TIBCO Hawk or OpenView, JConsole and others. So really, a lot of effort here on the back end for system admins, some big improvements.

Okay, I also want to make you aware of a couple of other items here that you should be aware of, that even though they're not necessarily part of the 4.5 code base, they certainly work with 4.5, and they're very recently available. So first thing I want you to be aware of is our new connector, the Hadoop, so this is for Big Data. So if anybody is involved in Big Data and you're using Hadoop, what we're offering here is a new connector. Now this connector -- this new connector to Hadoop is part of Spotfire's existing application data services library. So this is a library of better rated[ph] connectors that we've had. We're now providing a new connector in that library. This new connector is for Hadoop. In this library, this ADS application data services is an add-on to the core Spotfire platform. So this now enables you to connect directly to Hadoop using that ADS connector.

And for those of you using Hadoop, maybe it's for log files or something similar, this really gives you a really great opportunity now to visually analyze all of that data. It could be billions of rows that are stored in Hadoop. And I think Hadoop is interesting because the files that make up Hadoop -- a Hadoop data center are usually distributed or mapped across a cluster of machines, which they refer to as nodes. And at that level, at the machine level is where the filtering and the aggregation in the rows of operations occur.

And you can see on the slide here, we're talking about Hive and whatnot. So contact, say, open source Apache Hive is also used here. And what we have here is it's modeled right after Google's MapReduce system. So in this scenario, each node returns results to the master node for a final combination of those results from all those machines, and that's really similar then to the reduce step in Google's MapReduce. Apache Hive then is added on top to provide the summarization and query and analysis capabilities, and it's really what provides Spotfire with the data set driver for Hadoop and translates the SQL into the Hadoop MapReduce jobs.

So if any of you are using Hadoop for log files or something else, now is your chance to analyze all that information in Spotfire. And something unique here from the Spotfire perspective that maybe differentiates our integration with Hadoop from other vendors out there is we have that unique data on-demand functionality, which enables you effectively to rapidly swap out large data sets from a data source. And that's really what you have here, so you'd be able to use data on-demand in conjunction with this new connector to Hadoop and rapidly swap out those data sets and memory, so a lot here, very excited for those who are interested in Big Data.

Another thing I want to make you aware of is our new integration with Attivio. Many of you may be familiar with Attivio. They're a search-based vendor. They're a search tool and we're combining -- we've integrated with Attivio. And so what we offer here now is really a discovery-based way to explore your data, and we've combined that with a search-oriented way to approach your data. So together, discovery plus search is a powerful combination and really, Spotfire is Attivio's only platinum integration. And there's a couple of reasons for that. One of them is, is of course, data on-demand, which I talked about a moment ago based on the end-users interaction with visualization. Data sets can be dynamically swapped in and out of memory from a data source. That's what data on-demand does, driven by dynamic end-user interactions with the data.

The other thing that makes the Spotfire integration unique in Attivio's only platinum level integration is what I'm circling here using my mouse. On the top left-hand corner of the screenshot, you'll see that we're really the only vendor that works with Attivio, only partner that works with Attivio that has an out of the box search box. Right? So this is a very Google-like experience for anybody who wants to search both Spotfire and Attivio simultaneously. So what you're looking at here with this screenshot is a nice example of how we're unifying the presentation of structured data, which is analyzed and visualized from Spotfire. And in this case, it's a network graph that's being shown on the left side of the visualization. On the right-hand side here, you'll see this is search results of unstructured content that has been brought back from Attivio. So the Attivio search engine results are presented side-by-side with the Spotfire search engine results, and it's all presented within the Spotfire UI.

Now the example we're looking at here is based off of the Enron e-mail archive, which is publicly available. So what we've done is we've worked with Attivio. We've acquired that e-mail archive. And then just for demonstration purposes, you can see here, we typed in a query called Skilling lied. Skilling, I believe, was the Chief Financial Officer of Enron before it went bust. So in this situation, somebody typed in the phrase Skilling lied. That query was sent to Spotfire, where it searched the structured data inside of Spotfire and returned a network graph. That query was always simultaneously sent to the Attivio search engine, which brought back results from e-mails in this case. And you can see, hit highlighting has been turned on in Attivio, so every instance of lied or Skilling has been highlighted.

So really, the mind reels when you think about the use cases here. You can imagine a customer service representative within a call center at a brokerage house, for example, or a retailer, they could have in front of them, in Spotfire, all the transaction history of a customer that they might have with them on the phone. Right? So they can see how many widgets or toasters or whatever the case may be, they've bought and maybe that information is coming from a transactional system like Salesforce.com or Oracle or whatnot. And then on the other side of the Spotfire UI, they also would be able to pull back results from maybe any e-mails that, that customer sent into the call center. Right? So they -- Attivio is enabling us to search e-mails or documents, as well as social media sites. Right? So maybe the customer has put a product review out there on Facebook or some other social media site. Attivio can go out and scrape that site and pull back that result. Maybe there's content that resides in a content management system or SharePoint, for example. All of that can be now quickly searched by Attivio and the results presented back alongside with Spotfire.

So very powerful here, what you're looking at again is the unification of structured data and unstructured or semi-structured content from Attivio, and all of that is presented back to the user through a Spotfire interface, which, again, is the only partner out there of Attivio who's going to provide you with a Google-like search box right out of the box, so very powerful stuff here.

Now that pretty much wraps up the formal presentation of this session. What I'll do is spend a moment to walk through any questions that have been submitted online, and I think I've done a little bit of an attempt here to answer some questions here as they popped in.

Let's see here. Bear with me for just a moment as I scroll through and look for questions that have been submitted.

Question-and-Answer Session

Lou Jordano

Right. Okay, some of these questions, I think we've already answered. Yes, the TIBCO services is required for running those out of the box data functions or for integrating with SAS or MATLAB.

Great. SAS 9, base SAS 9 is the version that's required. Let's get rid of that little [indiscernible].

Yes, we're going to have an FAQ, as well as demos presented on the Spotfire website, so look for that soon.

Let's see. Again, that was JMX standard, so TIBCO Hawk was the name of the TIBCO product use that abides by that standard that you can use to monitor your Spotfire environment.

Let's see here, some long questions here. Okay, some very specific ones.

Okay. [indiscernible] I'll conclude it there. There are several questions that I'll get back to folks on through an FAQ, and we'll also distribute that to the e-mail list here. There are a handful of questions that have come in, but they're very particular to specific installations. So yes, and again, it's the iPad we're focused on now. And mobility is quite important, so more to come directionally there.

So why don't we wrap it up there. I'll thank you all for your time -- yes, one more, SAS and MATLAB licenses are sold separately, as is Attivio, so all separate.

So okay, we'll leave it there. Thank you, all, for your time and more to come. Thank you. Bye-bye.

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