Category Archives: Data Mining

Smart Apps for Dummies Part 2—Raise your Digital IQ

In the first part of Smart Apps for Dummies blog series, we explained that low-code is at the convergence of several driving forces, illustrated in the diagram below.

live apps Smart Apps for Dummies Part 2—Raise your Digital IQ

Why low-code is essential to digital leadership

Now let’s address the why. Why are so many companies embracing low-code as a way to stay or become a digital leader?

Speed is of the essence

From a business standpoint, speed is of the essence. Not only speed of development of apps but foremost, speed of innovation. Ideas can now become fully functional apps in minutes rather than months. These apps seamlessly integrate and extend existing systems in place. Creating and changing enterprise apps is now easier and faster. Being able to quickly deploy, see results, and make changes is of huge benefit. It allows you to keep up with changing demands and growth. Slow results or difficult changes mean your company is constantly grasping at straws trying to stay in the game but instead, ending up behind.

But don’t lose sight of the end game—digital leadership

Low-code is essential to digital leadership. It is an enabler of digital transformation and a catalyzer of innovation.

under dig leadership Smart Apps for Dummies Part 2—Raise your Digital IQ

Enhance customer experience

Quickly translate ideas into sophisticated apps and pilot them in the marketplace innovation faster than the competition so that you can deliver disruptive products and services that meet and exceed customer expectations.

Innovation with connected digital products

Visual, easy-to-use, yet powerful tools allow you to break traditional barriers between business and IT. Maintaining a short and iterative app creation and enhancement process fosters active collaboration and ultimately greater alignment to solve business problems.

Nimble and cost effective operations

By rapidly creating and launching applications, you improve agility while maintaining the ability to enhance and expand apps over time. A simple, intuitive and cost-effective platform for creating smart applications that solve business challenges empowers your staff—unleash their creativity and turbocharge productivity.

This is why low-code was recently highlighted by ZDNet as a top enterprise technology to watch in 2017.

“[Low-code platforms] can greatly offload IT in simpler business situations and can even make it possible for digital transformation to occur in a far more decentralized manner than in the past”. 

Why low code is great for citizen developers

Who is the citizen developer?

There is ample content written on the citizen developer. Check out an especially great piece written by George V Hulme here. There is little doubt that citizen developers that have emerged in the past few years are true agents of change—a force to be reckoned with.

From our standpoint, a citizen developer can sit in either the IT or business side of an organization. He or she is foremost a problem-solver who has the drive and determination to engage in app development even though he or she lacks traditional coding skills. They:

  • Aspire to create a better way to work and know the challenges that get in the way of productivity, and envision solutions to be more efficient.
  • Have to grapple with the inability to drive change as much as desired because IT gets in the way, processes and existing systems are too inflexible, and delays are a common issue.
  • Have new ideas on how to delight customers and grow revenue, but need a way to quickly go from idea to operational app.
  • Are accustomed to long lead time to change. Going from idea to operational systems takes months at best, if not lost in the IT backlog.
  • Desire to advance skills on an ongoing basis to grow personally while positively impacting the business.

Empower citizen developers to drive digital transformation at digital speed with TIBCO Cloud Live Apps

  • Self-service over the cloud: Creating a new account is swift and does not require any software installation. Users are up and running instantly. Access is zippy and available anywhere and anytime from a web browser.
  • Jump right in and start describing a solution to a business problem in plain language. A five-step interview is all it takes to create applications from the ground up. Contextual help and video tutorials are available at your fingertips.
  • Get the job done in no time with intuitive visuals, simple drag-and-drop tools, and step-by-step guided interactions.
  • Capture new business requirements easily and perform app updates in a few clicks.
  • Speed up development with app sharing and reuse. Find the right app or template in just a few clicks.
  • With simple drag-and-drop, choose from a variety of pre-built connectors, unlock data from core systems, and bring it to life in minutes.
  • Create apps that play nicely with existing IT environment and are worry free for both business and IT.

In our next blog, we’ll look at why low-code is for IT (development) managers and how embracing low-code helps IT transform and extend IT’s reach.

Enough talk, we want to you to see it in action!

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How-To Video Series: Integrate Popular SaaS Applications with TIBCO Cloud Integration

rsz bigstock 146338313 How To Video Series: Integrate Popular SaaS Applications with TIBCO Cloud Integration

Integrating your SaaS apps is the key to any successful cloud project. The use of cloud applications is only expected to rise, as Gartner predicts it will grow by 20% to $ 46 billion in 2017. So finding an easy, quick, and cost-effective way to integrate your SaaS apps with each other and with the other systems in your organization is crucial.

In this how-to video series, we’ll show you step-by-step how to use TIBCO Cloud Integration to integrate some of today’s most popular marketing and sales SaaS tools. Included in the series are detailed demos of how to connect platforms like Salesforce and Marketo, how to easily create, manage, and deploy APIs within one tool, and how TIBCO Cloud Integration works with hybrid and multi-cloud environments alike. And each video is only about 7 minutes!

Using pre-built connectors, we’ll check out how you can quickly integrate Salesforce and Marketo to move data in and out for more complete contacts, accounts, opportunities, and leads. With the Web Integrator tool and its intuitive visual modelling, we’ll show you how to easily build, model, test, share, and deploy all of your APIs. Fun fact: TIBCO is the only vendor that enables you to do all this with your APIs on one platform, allowing you to set up integrations to any service you choose (whether it’s in the cloud, on-premise, across multiple clouds, or built on a legacy system).

TIBCO Cloud Integration is an intuitive cloud integration solution that makes connecting to SaaS applications simple and efficient. You can learn more and start your free trial, or watch our quick on-demand demo.

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Spotfire Tips & Tricks: Hierarchical Cluster Analysis

Hierarchical cluster analysis or HCA is a widely used method of data analysis, which seeks to identify clusters often without prior information about data structure or number of clusters. Strategies for hierarchical clustering generally fall into two types: Agglomerative and divisive. Agglomerative is a bottom up approach where each observation starts in its own cluster, and pairs of clusters are merged as one moves up the hierarchy. Divisive is a top-down approach where all observations start in one cluster, and splits are performed recursively as one moves down the hierarchy.

Hierarchical cluster analysis in Spotfire

The algorithm used for hierarchical clustering in TIBCO Spotfire is a hierarchical agglomerative method. For row clustering, the cluster analysis begins with each row placed in a separate cluster. Then the distance between all possible combinations of two rows is calculated using a selected distance measure. The two most similar clusters are then grouped together and form a new cluster. In subsequent steps, the distance between the new cluster and all remaining clusters is recalculated using a selected clustering method. The number of clusters is thereby reduced by one in each iteration step. Eventually, all rows are grouped into one large cluster. The order of the rows in a dendrogram are defined by the selected ordering weight. The cluster analysis works the same way for column clustering.

Distance measures: The following measures can be used to calculate the distance or similarity between rows or columns

  • Correlation
  • Cosine correlation
  • Tanimoto coefficient
  • Euclidean distance
  • City block distance
  • Square euclidean distance
  • Half Square euclidean distance

Clustering methods: The following clustering methods are available in Spotfire

  • Single linkage
  • Complete linkage
  • Ward’s method

Spotfire also provides options to normalize data and perform empty value replacement before performing clustering.

HCtool Spotfire Tips & Tricks: Hierarchical Cluster Analysis

To perform a clustering with the hierarchical clustering tool, Iris data set was used.

Select Tools > Hierarchical Clustering

Select Data Table, and next click Select Columns

Sepal length, Sepal Width, Petal Length and Petal width columns were selected

HC select columns Spotfire Tips & Tricks: Hierarchical Cluster Analysis

Next, in order to have row dendrograms, Cluster Rows check box was selected

Click the Settings button to open the Edit Clustering Settings dialog and select a Clustering method and Distance measure. In this case default options were selected.

The hierarchical clustering calculation is performed, and heat map visualization with the specified dendrograms is created in just a few clicks. A cluster column is also added to the data table and made available in the filters panel. The bar chart uses cluster ID column to display species. The pruning line was set to 3 clusters and it is observed that  Setosa was predicted correctly as single cluster, but there were some rows in Virginca and versicolor which were not in right cluster and these are known issues.

HCA Iris Spotfire Tips & Tricks: Hierarchical Cluster Analysis

Try this for yourself with TIBCO Spotfire! Test out a Spotfire free trial today. Check out other Tips and Tricks posts to help you #DoMoreWithSpotfire!

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At TIBCO NOW in October: Customers’ Digital Transformation Perspectives and Use Cases

tn blog At TIBCO NOW in October: Customers’ Digital Transformation Perspectives and Use Cases

At TIBCO NOW in San Diego, October 25 and 26, TIBCO customers and industry experts will deliver industry perspectives and use cases in breakout sessions with Q&A. A partial listing is shown below.

Come to TIBCO NOW to learn about tools, practices, and strategies that can support your company’s successful digital transformation. Learn more and register.

Wednesday, October 25

Industry Perspectives: Manufacturing
Ahmer Srivastava, director of analytics, Western Digital

Industry Perspectives: Travel
Mike Schuman, senior manager of operations and enablement, United Airlines

Innovation Panel
Christine Watts, chief enterprise architect, University of Chicago Medicine.

Thursday, October 26

How EagleView Created Real Value with TIBCO Cloud Integration
Bruce Harris, director of business applications, EagleView

Connecting SaaS applications goes beyond just integration. It changes processes and has material impact on your business. When done right, these impacts can be transformational. EagleView, a provider of aerial imagery, data analytics, and geographic information system solutions, will share how TIBCO Cloud Integration both changed the way things were done and set the basis for transformational change.

Delivering High-quality Master Data in Real-time for Trusted Insights
Erik McConathy, Tractor Supply Corporation; Barry Wooffitt, TIBCO

Your organization has access to an increasing volume and variety of data, which is fast becoming one of your most important assets for fueling decisions and driving innovation. But you really can’t depend on it ― and more importantly, the insights and business decisions based on it ― unless you’re governing master data, synchronizing it in real time, and managing quality. Learn how Tractor Supply is using TIBCO Spotfire and TIBCO MDM to improve product data quality and pave the way for additional investments and find out what lies ahead for TIBCO MDM.

Design Reports that Make Data “Over-the-Counter” & Easy to Use
Jenny Grant Rankin, Ph.D, author/lecturer, University of Cambridge

Most people misunderstand most data. Fortunately, misunderstandings can be easily avoided when data reports adhere to research-based reporting standards. The speaker will share a checklist of best practices synthesized from over 300 research studies that can make data easy to use without expert assistance. You’ll receive these standards, other free resources, and an understanding of how to design reports so users can understand data easily, quickly, and accurately using TIBCO Jaspersoft.

Real-time Monitoring for IoT Use Cases
Christine Watts, chief enterprise architect, University of Chicago Medicine; Michael O’Connell, chief analytics officer, TIBCO

Remote real-time monitoring of equipment, combined with modern analytic techniques, drives significant value in industries such as Energy, Logistics, and Manufacturing. We will show how to use TIBCO Spotfire, R, TIBCO Statistica, TIBCO StreamBase, and TIBCO Live Datamart to address use cases such as improving operating room efficiency, reducing re-admissions, and preventing cardiac arrest. The presentation includes a customer IoT case study.

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TIBCO Named a Leader in The Forrester Wave™: Streaming Analytics, Q3 2017

forrester wave blog TIBCO Named a Leader in The Forrester Wave™: Streaming Analytics, Q3 2017

Forrester has named TIBCO a Leader in The Forrester Wave™: Streaming Analytics, Q3 2017 among thirteen vendors that were evaluated. For the Strategy category, we received a 4.9 out of a possible 5 points.

TIBCO StreamBase is also recognized for “[unifying] real-time analytics” with a “full-featured streaming analytics solution that integrates with applications to automate actions and also offers Live DataMart to create a real-time visual command center.”

Today’s organizations don’t just want streaming analytics or analytics at rest—they want the ability to operationalize analytics insights and the ability to capture streams, both the raw input and resulting predictions and streaming analytics to analyze and generate new insights, which they then operationalize. Streaming analytics customers will be more successful—and more satisfied in the long term—doing the full analytics round trip, and TIBCO has the tools to do it.

Learn more about TIBCO StreamBase here.

Download a complimentary copy of the report here.

TIBCO is focused on insights. Not the garden variety insights that lay dormant and unactionable on someone’s desk. Rather, TIBCO focuses on perishable insights that companies must act upon immediately to retain customers, remove friction from business processes, and prevent logistics chains from stopping cold. —Excerpt from The Forrester Wave: Streaming Analytics, Q3 2017

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Leveraging Open Source Technologies in Analytics Deployments

rsz bigstock open source developer program 125449196 Leveraging Open Source Technologies in Analytics Deployments

Many organizations are eagerly hiring new data scientists fresh out of college. Many of those millennial data scientists have been educated in software development techniques that move away from reliance on traditional and commercial development platforms, toward adoption of open source technologies. Typically, these individuals arrive with skills in R, Python, or other open-source technologies.

Employers, as well as enterprise software vendors like Statistica, are choosing to support the use of these technologies, rather than forcing the new data scientists (who are scarce and highly valued resources) to adopt commercial tools. People with R, Python, C# or other language capabilities can integrate them into the Statistica workspace.

This type of framework allows a simple, one-click deployment. Deploying an R script by itself can be complex and difficult, although there are new, high-level technologies that simplify the process. Statistica has chosen to allow integration of the script directly into a workflow. The developer can then deploy that script into the Statistica enterprise platform, leverage the version control, auditing, digital signatures, and all the tools needed to meet a company’s regulatory requirements.

That’s a key advantage: The ability to incorporate an open source script into a regulated environment with security and version control without jeopardizing regulatory compliance. This capability is not entirely unique—some other, relatively new platforms can provide this ability to degree. But it has been feasible in the Statistica platform for a number of years, and is extensively proven in production deployments.

The capability came out of Statistica’s experience in the pharmaceutical industry, one of the most regulated of all commercial environments. Governments require extensive documentation and validation of virtually every business process involved in producing drugs for human consumption. This includes every aspect of data collection and reporting.

We have taken what we learned in this rigorously constrained context and applied it to a general analytical asset. That body of experience is differentiating among analytics platforms, as is the way in which scripts are incorporated into the Statistica workspace.

Within a workspace, we can create a script, and pull in the packages and components from the open source community. This enables Statistica adopters to leverage the collective intelligence of data scientists throughout the world, and contribute to the development of these open source technologies. This is in character with the open source community, in which developers not only contribute new code but inspect, test, criticize, and fine tune each other’s work. Our users are extending the capabilities of Statistica through these collectively developed packages.

The user creates a node in the workspace that can be parameterized. The developer can create an R script, and we can create a set of parameters attached to that node and then deploy that node as a reusable template. That template can be used like any other node within the workspace by a non-developer business user—what we also call a “citizen data scientist.”

We can import the data, merge, translate, create variables, etc. If we want to create a subset of data, we can deploy an R model developed specifically for this purpose by seasoned data scientist who has, in effect, added it to a library of gadgets that a business user can drop into the workspace, change the parameters, and get the standard output, as well as any downstream data that the script may produce.

From a business perspective, committing to open source adoption is attractive:

  • Because it’s free, so the adopter is spared an additional license cost; and
  • Because it opens up a world of new capabilities. There are new open-source packages being developed every day, and some will have quite compelling functionality.

There are, of course, uncertainties in adopting new code from an unregulated developer community. Because Statistica sells into highly regulated markets, we are audited annually to ensure that our code meets the requirements for regulatory compliance. Open-source code does not undergo that kind of audit, and that can introduce certain risks. But the platform enables deployment of the code into a rigorously controlled operational environment, mitigating this risk.

At least as important as the risk management element, the ability to promote the adoption of open- source scripting provides an attractive work environment for the current generation of data scientists. Given the intense competition for recent graduates, this can be a powerful incentive in itself for employers.

Find out more about TIBCO Statistica’s capabilities.

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3 Things a Well-Architected Salesforce Integration Can Do for Your Organization

rsz bigstock missing jigsaw puzzle piece wi 88882046 3 Things a Well Architected Salesforce Integration Can Do for Your Organization

Did you know that with a great Salesforce integration you can automate business processes, cut down on human error, and get a full view of your customers? All you need is a well integrated Salesforce system that enables data sharing across your entire network.  

The reality is, not all integration approaches are created equal. Some only enable data to be moved in one direction between systems. Some appear easy at the onset, but require considerable coding. Others only offer point-to-point integration and can only tie one system to another. And still others don’t act as a platform where data can be easily shared across the organization.

Businesses that choose the right integration solution will be rewarded with speedier, cost-effective integrations that can create unique competitive advantages to put them ahead of the curve. In our new whitepaper “Nine Strategies for a Successful Salesforce Integration”, we’ll walk you through how to pick the best integration solution for your company.

The great thing is, you don’t have to be a technical expert to understand and execute Salesforce integration. As long as you can grasp the concept of information moving from one system to another, you’ve got it.

In today’s digital world, customers, employees, and partners expect anytime, anywhere communications, instant responses, and up-to-date/real-time information. The battle for business will be won by being able to support business requests faster and better. To surpass the competition, enable your systems to work together at top speed. Read our paper to get started today.

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How to Become an Intelligence Influencer

rsz blog intelligence influencer How to Become an Intelligence Influencer

Throughout our three-part series, we’ve covered how data analytics is an ally to your marketing cause and how demystifying customer insights begin with a humanized approach. In a nutshell, organizations struggling with new technology isn’t a new problem, and not all hope is lost. There are quick ways to get your foot through the door using data intelligence and influencing process-driven innovation.

Context, context, context

When was the last time you’ve seen a design failure when taken out of context? (See here and here for examples). It’s easy to laugh it off when the contextual error is purely aesthetics, but if a misinterpretation of data results in your sales teams engaging prospects with an ineffective sales pitch and the wrong product, coupled with an irrelevant marketing program, the impact can be far worse.

Forrester listed three prerequisites that drive predictive marketing success in a 2016 white paper. The first is to refresh capabilities to boost insights-driven engagement, and second is to ensure sales and marketing alignment through lead processes. Last is to gather useful data to inform predictive algorithms.

“…apply the same lenses as you would an external customer to really understand how data will be accessed by them and more importantly, in what context.”

What these points summarize is the state of needing different pieces in the bigger picture to get the customer view right. With shiny new toys like data automation and predictive analytics in place, we need first to ensure that the people using these data know what to do with it, how it is used—in short, to improve on business intelligence, starting from within the organization. It is also akin to applying an internal marketing funnel to bring perspective to a process.

There are many ways for businesses to improve their intelligence, and they probably have some areas of the organization that has developed such skills and processes. The challenge is to combine a very broad view of context within a specific time frame—let’s say a market segment and the products and campaigns targeted toward it―with a multitude of sharply focused views of context, often in real time (such as the interactions and experience provided to a customer).

How can your business reconcile those broad and focused views to define the best decisions and actions? Your stakeholders, be it sales, marketing, or customer experience, needs to apply the same lenses as you would an external customer, to comprehend how data is accessed and more importantly, in what context. Then you need to combine all of their intelligence and related capabilities so you can connect their intelligence.

People first, always

We have already identified sales and marketing as the most active users of data within an organization, but this is based on the functional needs of their roles. Similar to how marketers use personas to help us find our best customers look-alikes, a lens can be applied to help us understand what a salesperson or a marketer needs then apply that to a defined lead generation workflow and map that to success indicators to identify what works and what doesn’t.

As Aberdeen Group pointed out, “strongly aligned marketing and sales teams are 53% more likely to ensure relevant value propositions aligned to buyers’ business challenges”. The idea of a strongly aligned team refers to having a set of shared objectives, priorities, strategic and tactical operational processes, goals, and resources.

Understanding what a salesperson versus a marketer needs, then putting them together into a shared program not only accelerates the alignment process between these two functions but also helps the analytics team build dashboards efficiently. We can also apply a particular set of goals tied to these different roles, and further customized the data output according to the actual user needs at any given time.

For example, TIBCO Spotfire provides interactive visualizations derived from previously disparate data for marketers to review the effectiveness of digital engagement pathways via web content consumption trends, while sales may use another visualization with the same data sources to plot predictive trends of peaks and troughs of customer interests during a given period. Our customer is never single-dimensional, so our data outputs shouldn’t be either.

Linear or cyclical?

Once you have initiated an alignment between internal stakeholders and begin to design shared objectives within functions and cross-functionally, a process of continuous realignment and refinement needs to be set in place. How do you decide then if the process should be linear or cyclical?

One needs to only look at the shared priority of your stakeholders—the customer. While not all organizations have successfully applied measurements of Customer Lifetime Value (CLV), it is essential to a business focusing on becoming customer-centric. Why is CLV important? It tells us many things that can help maximize sales and marketing efforts, such as:

  • The potential worth or contribution your customer can bring
  • How to move your most desired (i.e. more valuable) customers through each stage of the buyer’s journey
  • Which prospects to focus on with your limited resources

This is where your data-driven intelligence comes into play. Using dashboards set up with combined data sources, mapped to your operational perspectives acquired with your “People First” approach, you are now ready to layer this information against a broader framework of calculating your customer lifetime value.

The business can then learn to identify threats or opportunities throughout a customer’s mapped lifetime while refining its predictions of outcomes of the context, and finally, make recommendations on the best action for the business to take. It is also important to note that when you have billions of people, systems, and devices interacting simultaneously, data is arriving in real time from hundreds and thousands of resources—it has a shelf life; its value diminishing over time, so you need to be able to decide and act instantly too.

TIBCO understands this and provides event-driven solutions that help businesses augment traditional business intelligence processes to capture, aggregate, and analyze data at-rest and in-motion, and help businesses spark insight for contextual awareness that leads to preemptive, actionable insights. This real-time intelligence becomes part of your competitive strategy, providing a continuous feedback loop that continually enriches your knowledge, capabilities, and responses.

And because a customer’s behavior isn’t always linear, your business intelligence shouldn’t be either.

This article is the final piece of a three-part series to look at visual, predictive, and streaming analytics technologies can apply to modern marketing.

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What’s New in Spotfire: What Users Say, August 2017

tr blog1 What’s New in Spotfire: What Users Say, August 2017

On TrustRadius, a community of professionals sharing software reviews, software discussions, and best practices, one user (a product manager for a mobile analytics cloud platform company with 5,000+ employees) says:

“Spotfire is being used by several departments across the organization. Spotfire provides us with the ability to create visualizations and dashboards from the data that we have collected. In addition, it allows us to build and deploy complex predictive models. The business problems that it solves are: 1) what are the characteristics of our device performance and can we see/understand aberrations in that activity, and; 2) what do our financials look like and how are we as an organization performing, what are the issues we face, and, can we project/forecast upcoming performance and issues.”

One of the three aspects of predictive analytics in Spotfire includes Spotfire Statistics Services that allows a business user who doesn’t have expertise in statistics to use the most relevant predictive analytics available. Here’s how:

Scarce technical resources (data scientists) prototype analyses in their environment of choice (R, SAS, etc.), specifying the types of inputs and outputs expected, then deploy the analysis to Spotfire Statistics Services. That deployment makes it available to Spotfire application developers who, without any coding or any deep understanding of the details, can integrate the analysis into a Spotfire application. So, with Spotfire, you can easily provide relevant advanced analytics to a community of users. Learn more about Spotfire and predictive analytics:

Share your thoughts about TIBCO Spotfire on TrustRadius.

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TIBCO Stands with Texas: Supporting Relief Efforts for Hurricane Harvey

rsz energy forum postponed 1200x630 facebook TIBCO Stands with Texas: Supporting Relief Efforts for Hurricane Harvey

Even if you are nowhere near the storm, the devastating affects of Hurricane Harvey continue to flash before our eyes. The number of deaths and injuries continues to rise while thousands of Texans are displaced from their homes. Hurricane Harvey is said to be the most powerful storm to hit the United States in over a decade and the gravity of this situation continues to come to light as time goes on.

Due to the severity of this situation, TIBCO has chosen to postpone the Houston Energy Forum and instead focus their efforts on supporting those affected by Hurricane Harvey. TIBCO is dedicated to supporting their employees, customers, partners, and all others whose lives have been uprooted by this major disaster. With TIBCO’s close ties to many in Texas, this devastating situation is personal. TIBCO has 60 employees that currently reside in the Houston area—all have been confirmed to be okay however, some unfortunately suffered the loss of their homes. TIBCO will continue to work closely with them and the entire city to repair the damage left in the wake of this storm.

From initial storm damage to ongoing flooding, it is clear residents have a long road ahead of them. This makes not only immediate support but also, long term support vital to the recovery of these communities. To help with this, TIBCO is working to ensure its Houston employees are taken care of, in addition to making a donation to help the general community in Houston. We invite you to join TIBCO in giving to local relief organizations.

For information regarding the Houston Energy Forum, please visit

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