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Spotfire. Spotfire was a business intelligence company based in Somerville, Massachusetts.

Spotfire

It was bought by TIBCO in 2007. History[edit] Spotfire's origins trace back to the Human-Computer Interaction Laboratory at the University of Maryland, College Park where, in the early 1990s, Christopher Ahlberg, a visiting student from Sweden, worked with Ben Shneiderman to develop applications of dynamic queries.

Ahlberg returned to Sweden and developed an enhanced UNIX implementation of his visual data analysis tool, the Information Visualization and Exploration Environment (IVEE). TIBCO Spotfire Statistics Services example video. Analytical dynamics. History[edit] The field has a long and important history, as remarked by Hamilton: "The theoretical development of the laws of motion of bodies is a problem of such interest and importance that it has engaged the attention of all the eminent mathematicians since the invention of the dynamics as a mathematical science by Galileo, and especially since the wonderful extension which was given to that science by Newton.

Analytical dynamics

" William Rowan Hamilton, 1834 (Transcribed in Classical Mechanics by J.R. Taylor, p. 237[3]) Some authors (for example, Taylor (2005)[3] and Greenwood (1997)[4]) include special relativity within classical dynamics. Loan Analytics - Assess and Visualize Risks in Your Loan Portfolio using TIBCO Spotfire Analytic Solutions-20090519 1508 - TIBCO-Spotfire. Spotfire - Customer Profiling and Segmentation - Spotfire.

Superior Customer Profiling and Segmentation Requires Innovative Tools In competing for market share, identifying and understanding your customers is critical.

Spotfire - Customer Profiling and Segmentation - Spotfire

Profiling and segmentation techniques, long a staple of direct marketing strategies, have become quite sophisticated in the information age as more and more data about buying habits, lifestyles, psychographics and demographics has become available. Customer profiling and segmentation technology helps to manage the growing volume of data, and data mining applications and business analytics help to extract valuable intelligence for making better decisions. Starfield Information Visualization with Interactive Smooth Zooming. Starfield Information Visualization with Interactive Smooth Zooming Ninad Jog† and Ben Shneiderman* Human Computer Interaction Lab Institute for Systems Research University of Maryland College Park MD 20742-3255 USA e-mail: ninad@visix.com, ben@cs.umd.edu † Current address: Visix Software, Inc.

Starfield Information Visualization with Interactive Smooth Zooming

Reston, Virginia. * Department of Computer Science This paper discusses the design and implementation of interactive smooth zooming of a starfield display (which is a visualization of a multi-attribute database) and introduces the zoom bar, a new widget for zooming and panning. Data visualization. Data visualization or data visualisation is viewed by many disciplines as a modern equivalent of visual communication.

Data visualization

It is not owned by any one field, but rather finds interpretation across many (e.g. it is viewed as a modern branch of descriptive statistics by some, but also as a grounded theory development tool by others). It involves the creation and study of the visual representation of data, meaning "information that has been abstracted in some schematic form, including attributes or variables for the units of information".[1] TIBCO Spotfire Web Player. Self-Service Predictive Modeling: Vendors Still Have Far to Go.

Self-service analytics is one of my core coverage focus areas.

Self-Service Predictive Modeling: Vendors Still Have Far to Go

It applies not just to business intelligence (BI) but also to advanced analytics. When, a few months ago, I uttered the immortal phrase “roll over rocket scientists,” I was referring more specifically to the need for pervasive self-service tools for predictive analytics and data mining (PA/DM). Considering that my recently published Forrester Wave on PA/DM Solutions primarily addressed the traditional requirements of “rocket scientist” experts in statistical analysis, I did not put a huge emphasis on data mining features geared to business analysts, subject matter experts, and other “non-technical” information workers. As I’ve stated in that blogpost and the follow-on podcast, the core problem with today’s PA/DM offerings is that many of them are power tools, not solutions that have been designed for the mass business market. Forrester regards PA/DM as key to the evolution of business intelligence (BI).

Spotfire - Predictive Analytics. Dynamic queries, starfield displays, and the path to Spotfire. Ben Shneiderman, February 4, 1999 Updated July 26, 2007 Updated February 27, 2015 (Catherine Plaisant added mention of the cancer atlas prototype) The old days of command line interfaces and submitting queries to databases are passing quickly.

Dynamic queries, starfield displays, and the path to Spotfire

In their place are dynamic queries and starfield displays that update a two-dimensional graphical display in 100 milliseconds. As users adjust sliders, buttons, check boxes, and other control widgets the starfield display containing color- and size-coded points us updated rapidly. Users feel they are in control and there is no more "RUN" button. TIBCO Delivers Cutting-Edge Predictive Analytics for All, with Complimentary Software and Powerful Online Resource.

TIBCO Enterprise Runtime for R and TERR Community Help Data Scientists Drive Predictive Analytics and “R” to the Enterprise Palo Alto, Calif., May 14, 2013 - To help businesses use predictive analytics to improve decision-making across the enterprise, TIBCO Software Inc.

TIBCO Delivers Cutting-Edge Predictive Analytics for All, with Complimentary Software and Powerful Online Resource

(NASDAQ: TIBX) today announced the availability of free software and a rich community site. Vendor news: TIBCO's proprietary R runtime; Teradata's appliance integrates R. In a webinar today previewing Spotfire 5 (scheduled for release this November), TIBCO announced that it will include TERR: The Tibco Enterprise Runtime for R.

Vendor news: TIBCO's proprietary R runtime; Teradata's appliance integrates R

TERR is a closed-source reimplementation of the R language engine, and not based on the GPL-licensed R project from the R Foundation. Here's the relevant slide from the webinar: R (programming language) R is a programming language and software environment for statistical computing and graphics.

R (programming language)

The R language is widely used among statisticians and data miners for developing statistical software[2][3] and data analysis.[3] Polls, surveys of data miners, and studies of scholarly literature databases show that R's popularity has increased substantially in recent years.[4][5][6][7] R is highly extensible through the use of user-submitted packages for specific functions or specific areas of study.

Due to its S heritage, R has stronger object-oriented programming facilities than most statistical computing languages. Extending R is also eased by its lexical scoping rules.[19] Another strength of R is static graphics, which can produce publication-quality graphs, including mathematical symbols. In-database processing. In-database processing, sometimes referred to as in-database analytics, refers to the integration of data analytics into data warehousing functionality. Today, many large databases, such as those used for credit card fraud detection and investment bank risk management, use this technology because it provides significant performance improvements over traditional methods.[1] History[edit] Traditional approaches to data analysis require data to be moved out of the database into a separate analytics environment for processing, and then back to the database.

(SPSS from IBM are examples of tools that still do this today). Executive Analytics: The Path To Success. As they begin to examine how decisions get made in their organizations, executives are increasingly adopting a more evidence-based and data-driven approach to decision making. As they assess the impact of past decisions made with incomplete or inaccurate information, executives are recognizing the need for a methodology and toolset to support decision making, This is the one of the driving forces behind the adoption of data analytic and business intelligence tools and methodologies in business units, which will ultimately converge into an enterprise-wide strategy.

These findings from The ABC’s of Executive Analytics from the Aberdeen Group, confirm the conclusions of other research we’ve recently discussed in our blog. The report analyzes survey feedback from 370 executives across all industries in January and February 2011. It classifies organizations into three categories with respect to the ability for executives to use analytics to improve business results:

Big data. Predictive modelling. Predictive modelling is the process by which a model is created or chosen to try to best predict the probability of an outcome.[1] In many cases the model is chosen on the basis of detection theory to try to guess the probability of an outcome given a set amount of input data, for example given an email determining how likely that it is spam. Models[edit] Nearly any regression model can be used for prediction purposes.

Broadly speaking, there are two classes of predictive models: parametric and non-parametric. A third class, semi-parametric models, includes features of both. Parametric models make “specific assumptions with regard to one or more of the population parameters that characterize the underlying distribution(s)”,[2] while non-parametric regressions make fewer assumptions than their parametric counterparts.[3] Spotfire - Predictive Modeling Tools. Spotfire Deep Predictive Insights Leverage predictive analytics in every analysis Predictive Modeling Tools in Spotfire provide deep predictive insights into your data as part of ad hoc analysis. These tools support a full workflow for real predictive modeling--not simply providing a black box--so that you can create unique models to pursue your competitive advantage. Download the White Paper Featured Demo Loess Smoothing Launch the Demo Gallery related resources >> Visit the Content Center.

Analysis of Large Data Volumes: Challenges and Solutions - InfoManagement Direct Article. Business intelligence tools. Business intelligence tools are a type of application software designed to retrieve, analyze and report data for business intelligence. The tools generally read data that have been previously stored, often, though not necessarily, in a data warehouse or data mart. Clickstream. R FAQ: How can I subset a data set? Latent class model. In-memory database. The Craft of Information Visualization: Readings and Reflections.

Information visualization. Visualization Types ⊂ Spotfire Technology Network. Dashboard (business) Multi-core processor. TIBCO Software. University of Maryland, Human-Computer Interaction Lab. Christopher Ahlberg. Information Visualization Exploration Environment IVEE. Ben Shneiderman. Dynamic queries, starfield displays, and the path to Spotfire. Tibco Spotfire Competitors and Alternatives.