The TIBCO Blog Turning data—big or small—into differentiation. Fri, 04 Nov 2016 18:11:02 +0000 en-US hourly 1 Fri, 04 Nov 2016 12:41:09 +0000

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We take innovation seriously here at TIBCO. Since even before we were TIBCO, we were creating innovative products and working with innovative customers. A software company cannot reach a billion dollars in revenue by accident.

Over the past few years, we have looked at TIBCO’s track record of innovation and realized that we could do innovation better. Innovation can happen in a lot of different ways from the ad hoc random to the tightly controlled and everything in between. To find the right mix for TIBCO, we wanted to consider the company’s short-term and long-term corporate goals, as well the corporate strategy to get there. With these concerns about innovation in mind, we’ve taken our innovation to the next level, and kicked off our innovation program:

tibconext The TIBCO Blog

We want to help us deal with change. It seems like the world is changing more rapidly than ever. TIBCO itself is certainly changing. In 2014, we started an extensive process change cycle, kicked off after being acquired by Vista Equity Partners. At the same time, technology changes have significantly altered our markets with the rapid adoption of cloud, the emergence of practical uses for artificial intelligence, the complicated data and compliance challenges created by massive numbers of mobile devices, the Internet of Things and, of course there’s Moore’s Law. Without an innovation program, we realized we ran the risk of focusing too much on merely sustaining our existing business and not enough on helping our customers chart the best course through all these changes. A focused innovation program is essential for their business and ours.

We’re totally excited about the program and where it is going.

We’ve rolled out new training opportunities for employees, including a focus on Design Thinking. We aim to help people throughout TIBCO understand the need to empathize with customers before we start building products. Employees that have taken this training have already reported back that it was surprisingly engaging and extraordinarily helpful in framing the process.

stanford The TIBCO Blog

Source: Stanford Design School×345.png

We emphasize the importance of Business Model and Value Proposition Design to ensure our innovators are thinking of the customers’ needs as they consider their ideas and that those ideas fit into a viable business model. By training people across many departments, we are building out a team of people who can now use a common language for solving problems that demand innovative thinking.

strategy The TIBCO Blog


Just these two training areas have already changed what we do. We look forward to 2017 as these and other innovation-related activities in help our employees feel a part of the innovation engine that is TIBCO. Want to join our team? Here are our current career opportunities and more information. 

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Solve real business problems—not technical data challenges—with TIBCO Spotfire. It’s time to do more with your data, in less time, with less hassle, but with more people. That might sound counterintuitive, but hear me out.People do business differently these days, and the complexity involved requires cross-pollination among more people in more departments and divisions than ever before. Diverse groups do different things with the massive amounts of data available, but often share the same data to track business operations and results to uncover valuable new insights buried in that data.

Chances are, most of the people using your business data are not data scientists. In fact, Gartner predicted that by 2017 the number of so-called “citizen data scientists” (business users) will grow five times faster than the number of highly skilled data scientists.

So, why provide your citizen data scientists with tools created primarily for data scientists? With the amount of valuable business data available to both small and large businesses, doesn’t it make more sense to make your data easily available—and usable—to all of your users?

To make things easier, we’ve prepared an eGuide for you. And, we’ve broken it down into manageable practices, making it simple for you to see how easily and quickly you can do more with TIBCO Spotfire—solve some of your more difficult data dilemmas—and help move you forward on your journey toward enlightened analytics.


Take the science out of preparing and analyzing data

TIBCO Spotfire lets your citizen data scientists load, clean, and use your data quickly and easily, avoiding wasted time and energy. It also decreases the frustration involved in the process by easily connecting and preparing data and machine learning techniques to automatically identify the best metric or visualization for particular data sets. Its self-service experience at the front-end enables non-specialists to use data analytics to ask and answer questions, with little or no specialist support.

Avoid analysis paralysis

Using charts and graphs to “illustrate” a point can be fun and provide you with serious insight into your business. On the other hand, it can be a waste of time and energy. Our new TIBCO Spotfire eGuide can help reduce wasted effort by guiding you toward responsible data visualization.


Take out the garbage

There’s a rule of thumb that never changes: dirty data yields dirty, and often inaccurate, results. Any decent data tool you use should be able to handle a lot of the preparation and cleaning process for you. Data wrangling—rounding up the useful information and discarding the superfluous—speeds time to true insight.

Show, don’t tell

Making sure people understand what you’re trying to say is important. Good dashboard design is a great place to start, and you’ll find examples of a few good data dashboards (even some that are interactive) in the eGuide.


Divine the future

The best analytics tools allow users of all levels to join together data from multiple sources, helping them spot and leverage trends and predict future events and opportunities.

Create harmony

Multiple users recreating the same visualizations and dashboards waste time. Multiple versions of the same information floating around create confusion. By providing a single, collaborative tool everyone from data scientists to business users can master, your data can flow freely (but safely) across the enterprise.

Expand your consciousness—and your business

Having all the answers isn’t possible, but asking questions is. By choosing an analytics solution that adapts and grows as you expand your capabilities and business, you’ll get a wider view of both your past and the endless possibilities that lie ahead.

To learn more about how you can find BI nirvana, check out the new TIBCO Spotfire interactive eGuide, along with videos, a customer webinar, and new case studies for the Tampa Bay Lightning NHL franchise and Vesta, a wind turbine manufacturer. Find more information on TIBCO Spotfire analytics platform and test out a free trial.

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Today, we are proud to announce the GA release of TIBCO Simplr, a personal automation tool that helps you and anyone in your company automate tasks and innovate on the fly to get the job done faster and more accurately.

TIBCO Simplr connects cloud apps you use daily like Google Apps, Salesforce, Evernote, Webex, Workday and more, then links them with easy drag-and-drop flows that move data and put work on autopilot.

What’s more, new fully integrated Simplr Forms let you create and publish professional forms online in minutes and send responses where they need to go.

Flows listed The TIBCO Blog

Regardless of technical skill level, and without coding or help from IT,  Simplr helps people work smarter. Here are some examples of how customers are using Simplr company-wide:

  • Event planning: Manage event registration, communicate with attendees, and visually analyze attendee data using Simplr Forms, Gmail and TIBCO Spotfire.
  • Social media: Track approvals for tweets and auto-post them using Twitter and spreadsheet connectors like Google Sheets and Smartsheet.
  • Product management: Gather feedback from customers and distribute instantly to different apps like JIRA, Zendesk and AHA.
  • Marketing campaigns: Automatically upload lead lists to CRM or marketing automation systems like Salesforce and Marketo.
  • Sales: Set up trips with flows using spreadsheet and email connectors.
  • Design: Keep files updated between Dropbox or Box and FTP sites.
  • Human resources: Automate onboarding processes with Workday and spreadsheet apps.

What makes TIBCO Simplr different from other task automation products?

  • A unique combination of forms and flows lets you include humans in your process of gathering information (forms) and move that information to where it needs to be (flows), all in one interface.
  • Data transformations during the course of each flow to ensure consistency and clean up small problems.
  • More actions in Salesforce and other connectors that let you get more historical data out of your apps, so you can use data you already have, not just data that is about to come in.

Flow in progress The TIBCO Blog

And with the TIBCO Expresso mobile app for Simplr, you can receive push notifications on the go to with designated data from your flows and forms. Users can download the TIBCO Expresso app for iOS here.

There are three Simplr subscription plans to choose from: Free, Basic, and Pro. You can set up your flows to be triggered to run on demand (available to all users) or on a repeat schedule (available to Basic and Pro users). Learn more.

Sign up for Simplr today, and automate repetitive work so you can do more of what you love!

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Let’s take on the role of a marketer working for a retailer. We are running a promotional campaign for various products. Which customers should we target in the campaign and with which products? How do we know when to promote a product and when not to in order to keep the offers personalized?

Propensity analysis offers some common approaches to find answers to these questions. The customer analytics propensity analysis template for Spotfire in the customer analytics template series lets us perform one of these analyses. We will use the example that comes with the template to see how we can conduct an analysis to determine products to recommend to customers, identify cross-sell opportunities, and make personalized offers.

When conducting a propensity analysis, we are interested to find the propensity for a customer to perform a certain action, for example, to buy a product. In other words, we are trying to predict how likely it is that a customer will perform that action. Different types of algorithms, such as decision trees, random forests, and logistic regression, may be used to perform this prediction. Commonly, the algorithms have to “learn” from a set of historical data to find a model that calculates the prediction. In order to find the model, the algorithms are told which variables are likely to have an effect on the predicted outcome. The algorithms then learn to predict based on the values of those variables.

The historical customer purchase data used by the template is prepared with the customer analytics data pre-processing template. The sample data set in the template contains purchases made by customers during a period when there was no promotion and during a period when there was a promotion. We would like to find the propensities for customers to purchase from certain product categories during a promotion based on what they bought in the past, when no promotion was held.

While it is not uncommon for propensity analyses to be done on a single product or category, the template’s example takes the idea further. Let’s assume that we have identified 4 product categories to promote in a campaign for which we are currently planning. To each customer, we would like to promote the category he is most likely to buy and we would also like to make a cross-sell recommendation of a second category where appropriate.

The first step to the analysis is to define which are the product categories whose propensities are to be predicted (i.e. the categories to be promoted) and which are the product categories whose historical purchases are to be used to predict those propensities. These variables are called response and explanatory variables, respectively, and can be selected using the template. Figure 1 shows the 4 categories chosen for the response variables are men’s running clothes, men’s sweaters, women’s sweaters, and women’s tops.before figure 1 The TIBCO Blog

Figure 1: Response and explanatory variables

The algorithm used in the template calculates the propensity (a value between 0 and 1) of each customer buying each of the 4 product categories. The 4 categories are then ranked for every customer and the top two categories (with the highest propensities) for each customer are picked for further analysis using the propensity plots shown in Figure 2.

figure 1 The TIBCO Blog

Figure 2: Propensity plots

Let us now look at how to interpret the propensity plots, using the plot for men’s running clothes in Figure 3 as example. The points in the plot represent the customers for whom the top-ranked product category is men’s running clothes. The values on the horizontal axis are the customers’ propensity scores for their top-ranked product category (i.e. men’s running clothes). The values on the vertical axis are the differences in the customers’ propensity scores for their second-ranked product category and their top-ranked category. In other words, the horizontal axis measures how likely it is the customer will purchase men’s running clothes. The further right a customer appears on the plot, the more likely it is that he purchases from this category. The vertical axis tells us if it is as likely that the customer will purchase his second-ranked product category. The higher up a customer appears on the plot, the closer his propensity to purchase his second-ranked product category is to that of him purchasing men’s running clothes.figure 2 The TIBCO BlogFigure 3: Propensity plot and table for customers whose top-ranked category is men’s running clothes

Having this understanding of the propensity plots, we would naturally like to target customers who appear to the right of each plot with offers of their top-ranked product categories. Out of this group of customers, those that appear in the top right portion of the plots are good candidates to whom we can make cross-sell offers. These customers are highlighted in Figure 3. Not only do they have a high propensity score for buying men’s running clothes, they also have high propensity scores for their second-ranked product categories, as shown in the column “propensity.2” in the accompanying table.

In Figure 4, we find customers whose top product category is women’s sweaters. The customers that appear in the bottom right portion of the plot are highlighted. They have a high propensity for buying women’s sweaters. However, the propensities of them buying their second-ranked product fall far behind, as shown in the column “propensity.2” in the accompanying table. These customers are candidates to whom we would offer promotions on women’s sweaters, but not another product category.figure 4 The TIBCO Blog

Figure 4: Propensity plot and table for customers whose top-ranked category is women’s sweaters

The propensity plots in the template makes it easy for us to identify customers to whom to offer personalized promotions of various product categories. You may do this propensity analysis on your own data by downloading the customer analytics propensity analysis template for Spotfire from the TIBCO Community site.

This post is the third in the Customer Analytics Templates for TIBCO Spotfire series. Here are the first two posts on knowing and segmenting your customers. Ready to try? Download a free trial of TIBCO’s Spotfire analytics platform.

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We’re thrilled that Gartner has recognized TIBCO Mashery as a leader in Full Cycle API Management!

TIBCO believes this acknowledgment provides tangible evidence to support the strategic vision behind TIBCO’s acquisition of Mashery last year and validates the combination of TIBCO and Mashery capabilities, providing a unified API platform to deliver strong API creation capabilities in addition to the traditional needs of API management, to create real value for our customers.

We believe our position in the leader quadrant of this report clearly reflects the strength of our product offering, completeness of our vision, and ability to execute. But we could never land in this coveted spot without our strongest asset—our amazing, successful customers. The Gartner assessment process strives to reflect the raw reality of the market and is heavily based on customer feedback of vendor performance, strengths, and challenges. TIBCO Mashery customers have been vital partners on our journey as we have helped them transform their businesses to more effectively compete in the digital world through their API platforms.

We sincerely thank all of our customers for their continuing faith in us, and for relying on TIBCO Mashery to be a core component in their digital transformation. We are proud to be their partner and look forward to help maximize the value they derive from our solutions.

Download a complimentary copy of the Gartner report.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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Most tibbr fans already know that beyond standard enterprise collaboration functionality, tibbr offers best-in-class integration features. They can use tibbr to bring data feeds from other applications and sites into tibbr, as well as put tibbr into other applications and sites.  For example, tibbr offers 20+ off-the-shelf applications that integrate out-of-the-box with tibbr, such as Outlook, SharePoint (including rich Webparts), Box, DropBox, Google Suite, Oracle, SAP, Salesforce, WebEx, Skype, RSS, and more.  

tibbr also offers a wide array of sophisticated tibbr Gadgets that can easily inject all kinds of tibbr elements inside intranets, websites, and applications. For example, put the great real-time tibbr conversations of the “Human Resources” subject in the Human Resources intranet page. This includes bidirectionality—meaning users can read real-time tibbr posts on the intranet page, as well as post into tibbr from there too. And it only takes a single line of Javascript to do it.  

Screen Shot 2016 10 27 at 10.51.31 AM The TIBCO Blog

All of this together means that tibbr is not another business application to throw at knowledge workers, but rather a surround sound interface that harmonizes the disparate apps into one seamless experience. Instead of simply a sliding-window-of-time interface that one gets with a messaging app, tibbr offers a single-pane-of-glass experience through which users can become aware of and act on multiple business applications and initiatives at once. With tibbr you can also then follow the knowledge trail back to the source, discovering how certain decisions were made months ago, and start up a Webex, for example, where all of the parties that were involved receive the invite automatically, so next steps can be planned faster and easier.

Screen Shot 2016 10 27 at 10.50.03 AM The TIBCO Blog

We’re proud to keep leading in this direction by offering the tibbr Developer Center, which gives customers the framework to build their own custom two-way integrations, beyond those tibbr features as standard. With the tibbr apps framework, customers can deeply integrate any business app with the core tibbr experience and make use of many aspects of tibbr, including wall feeds, subjects, notifications, and so forth. Each tibbr customer now receives a sandbox, which is a dedicated tibbr server for you or your company to develop on. All developers have administrator privilege for accessing all the tibbr features. Customers and partners can test your app in your sandbox, and even publish the app in tibbr’s Marketplace, as a free or purchasable app.

Screen Shot 2016 10 27 at 10.50.51 AM The TIBCO Blog

Customers have been building some incredible apps all on their own, but tibbr’s professional services team can also build apps for customers who prefer to let tibbr handle the entire effort of integrations. Some examples customers have developed include a consulting services organization that has built their own badging and recognition system into tibbr, a global manufacturer who has integrated their HR and sophisticated mentoring program, a wholesale bank who has piped-in advanced artificial intelligence that determines the best account managers to add to new opportunities and then programmatically creates the correct subjects, subscribes the best team that is available to assist, a transportation provider that tied tibbr into their scheduling system, and more.

The tibbr platform supports all common programming platforms and you can build your app in any language or with any Web programming tool, such as PHP, Python, Java, or C#.

If you’re already a tibbr customer, ask your tibbr Administrator to enable the Developer Center for you. It’s just a simple checkbox away on the admin panel now. If you’re not a tibbr customer yet, but interested in supercharging your organization’s collaboration, signup for a free tibbr trial. 

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Vestas Wind Systems is a market leader in the wind turbine industry. They have more than 33,000 turbines under management, which results in 16 years of historical wind data and more than 30 years of wind turbine data to manage. To drive analytics across the business deeper, faster, and smarter, Vestas needed to augment intelligence with data.

Watch this on-demand videocast to hear Vestas’ Head of Advanced Analytics Kim Andersen and TIBCO’s Chief Analytics Officer Michael O’Connell discuss the digital business transformation journey Vestas is on and how they are leveraging TIBCO Spotfire in their big data environment. Learn best practices for:

  1. Analyzing data from millions of sensors to keep devices running smoothly.
  2. Providing visibility across business functions that deliver service metrics and performance benchmarking.
  3. Leveraging big data analytics to solve key customer business challenges, including contract risk profiling and predictive maintenance.

“The technology goal was to replace Tableau and Microsoft Power BI and Excel…We had a massive number of applications, and it was very difficult to take a Tableau dashboard, for example, and ramp up,” says Vestas Wind Systems, a global energy company dedicated exclusively to wind energy.

View the on-demand videocast today! Learn more about Spotfire and try it for free!

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One of the challenges associated with APIs is having more and more folks be able to use them, without the often requisite sophisticated programming knowledge and experience. Interactive documentation tools, like IO Docs and Swagger UI, have been great ways for helping developers learn about APIs. But what about having people—non programmers—use APIs to accomplish day-to-day tasks? Imagine that! How to best get them productive all the while not having to spin up big application development projects?

TIBCO Simplr is a great way to get API-driven useful capabilities into the hands of business managers. Simplr links your cloud apps and automates tasks so you can get your job done faster and more accurately. Whether you’re planning a sales trip, reporting on marketing campaigns, surveying employees, or just trying to improve your productivity, Simplr can help you and everyone in your organization.

How does this all fit into TIBCO Mashery? Well, we’re pleased to announce the availability of the Mashery Connector for Simplr. Mashery customers can now leverage a very simple tool to do things like pull developer data out of Mashery, previously only accomplished using the Mashery API. Now you can do things like pull out developer data into a Marketo app or a Google spreadsheet, or drive a SurveyMonkey product feedback process. All without programming!

Sample screen shots can be seen below. A quick demonstration of the feature can be found here and here.

NOTE: The use of the TIBCO Mashery Connector for TIBCO Simplr requires a Mashery V3 API Key. Please visit this page to get one.

Sign up to use TIBCO Simplr for free, and access Mashery connector templates like this one, or build your own!

Flow overview page

flow overview page The TIBCO Blog

Setting up a flow

setting up a flow The TIBCO Blog

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Team TIBCO-Silicon Valley Bank rode by the TIBCO offices in Palo Alto for a visit. This group of elite athletes is a UCI professional women’s cycling team focused on finding and developing the next generation of Olympic contenders, with more than 480 lifetime team wins. We spent 10 minutes with each of the nine fabulous riders to learn about their favorite places to ride, how they use data in their training, and more.

laurenk The TIBCO Blog

Next up is Lauren Komanski, a North Carolina native and sailboat captain who jams to a little Taylor Swift to get pumped up to race. Check out the video below, and stay tuned for spotlights on the rest of the Team TIBCO-Silicon Valley Bank riders to find out how this team gives Fast Data a new meaning.

Find out more and keep up with Team TIBCO on Facebook and Twitter. Check out the interviews with Lauren StephensAlizee BrienKendall Ryan, Brianna WalleCheryl Clark, and Joanne Kiesanowski, and stay tuned for more athlete features on The TIBCO Blog.

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Decline curve analysis (DCA) is a graphical procedure used for analyzing declining production rates and forecasting the future performance of oil and gas wells. Fitting a line through the performance history and assuming this same trend will continue in the future forms the basis of the DCA concept.

Decline curves are based on exponential, hyperbolic, or harmonic Arps equations, but tend to have limitations such as underestimating reserves, underestimating production rates, or overestimating reservoir performance. Decline curve analysis was performed on semi log papers before the computer age. DCA is still popular since the curves are easy to plot, analyze, and yield results on a time basis.

You can find a data function that calculates a hyperbolic decline curve analysis using production oil and gas data on the TIBCO Community Exchange.

The data function accepts two input columns:

col.Date – column of date values for production (production date)
col.Production – column of integer number values indicating production

decline curve The TIBCO Blog

The Outputs of data function are four values and result table

Hyp.qi:qi coefficient for the Hyperbolic fitting expression
Hyp.b : b coefficient for the Hyperbolic fitting expression
Hyp.Di.daily : Di coefficient for the Hyperbolic fitting expression (per day)
Hyp.Di.annual : Di coefficient for the Hyperbolic fitting expression (per year).

result : Production normalized per production days

Want to use decline curve analysis with your data and dashboards? Learn more about TIBCO Spotfire and give this trick a try with a Spotfire free trial!

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Let’s block ads! (Why?)

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