Spotfire 7.9 adds what has been one of the most anticipated new time-saving features, the ability to edit your data transformations. You can adapt to changes in data sources or tweak new transformations without having to start from scratch.

Now, whenever a data preparation step has encountered a problem in the data source view, Spotfire will notify you with one of several severity-ranked indicators. The indicators enable quick troubleshooting of data transformations, and when paired with the new edit transformation feature, drastically reduce your time to analysis.

The native Salesforce.com connector for Spotfire is now able to load more data, such as the Case Table, which often keeps millions of records.

Spotfire Information Services now supports constrained Kerberos delegation in combination with compatible JDBC drivers.

Data from Amazon Redshift, Azure SQL, and OData can now be viewed in Spotfire Cloud Business Author and Consumer.

Issues in your data are most often found once you start visualizing it, so why not fix them right then and there? Spotfire now has new “replace value” and “replace all occurrences” features for easily cleaning up erroneous data values in table charts and the details-on-demand panel.

In Spotfire 7.9  99% of packages on CRAN―almost 10,000 community packages―can be loaded into the built-in R engine. We’ve also made significant improvements to the engine’s performance and to ease of use for creating graphics.

Microsoft Azure HDInsight, APACHE KNOX, SAP SSO, and Google Analytics Web Authentication are all now supported.

You can now right-click anywhere on a map and get geographic coordinates (latitude and longitude) for a location. Nautical miles have also been added as a unit of measurement in addition to the existing imperial and metric units when using radius and rectangle selections.

Analysis Services 2016; PostgreSQL 9.5 and 9.6; MySQL 5.7; SAP BW 7.5; and Apache Spark SQL 2.0 are now supported.

Spotfire now automatically detects and recommends if data you add to an analysis should be added as rows to existing data.

The KPI chart API allows authors and developers to automatically configure KPI Charts from IronPython scripts or custom tools. This enables creating more user friendly and powerful visual analytics applications for end users.

Administrators can now configure a system wide upper limit for the number of rows possible to visualize in a table visualization based on an in-database data table. The configuration is made in Spotfire Analyst Administration Manager, on the Preferences tab, under Data Import Preferences.

Spotfire Server now supports the use of OpenID Connect as a method of authentication.

Your analysis can benefit from on-demand loading when you have access to massive amounts of data, but you only need to work with some parts of the data at a time. When setting up an on-demand data table you can specify conditions based on one or more other data tables to control what to load.

The map chart now supports Web Map Service (WMS) 1.3.0 in addition to the previously existing 1.1.0 and 1.1.1 support.

Getting a nice layout when automating dashboard creation has often been cumbersome. With the new capabilities in the LayoutDefinition API, developers can specify proportions (vertically or horizontally) to get full control over the layout of the visualizations on a page, similar to what is possible to configure from the user interface.

Spotfire's connector for SQL Server now supports SQL Server 2016, Azure SQL and Azure SQL Data Warehouse.

The Spotfire Server needs a database to store its own data. As of Spotfire 7.8, Microsoft SQL Server 2016 can be used as an option.

Spotfire détecte et recommande désormais automatiquement si les données que vous ajoutez à une analyse doivent être ajoutées aux données existantes en tant que lignes.

Grâce à l’API de diagrammes KPI, créateurs et développeurs peuvent configurer automatiquement les diagrammes KPI avec des scripts IronPython ou des outils personnalisés. Cela permet de créer des applications d’analyse décisionnelle dotées de meilleures performances visuelles et plus conviviales pour les utilisateurs finaux.

Les administrateurs peuvent désormais définir une limite supérieure applicable à l’ensemble du système pour le nombre de lignes visualisables dans une visualisation de table en fonction d’une table de données in-database. Cette configuration s’effectue dans Spotfire Analyst Administration Manager, via l’option Data Import Preferences de l’onglet Preferences.

Spotfire Server prend désormais en charge l’utilisation d'OpenID Connect comme méthode d’authentification.

Votre analyse peut bénéficier du chargement à la demande lorsque vous accédez à des quantités de données importantes. Toutefois, vous ne devez utiliser simultanément que certaines parties des données. Lors de la configuration d’une table de données à la demande, vous pouvez définir les conditions en fonction d’une ou plusieurs autres tables de données afin de contrôler les données à charger.

Outre les versions existantes 1.1.0 et 1.1.1, la cartographie prend désormais en charge Web Map Service (WMS) 1.3.0.

Il est souvent difficile d’obtenir une belle mise en page lorsque la création des tableaux de bord est automatique. Grâce aux nouvelles fonctionnalités de l’API LayoutDefinition, les développeurs peuvent définir les proportions (verticales ou horizontales) afin de pouvoir pleinement contrôler la mise en page des visualisations, comme cela est possible avec la configuration depuis l’interface utilisateur.

Le connecteur Spotfire pour SQL Server prend désormais en charge SQL Server 2016, Azure SQL et Azure SQL Data Warehouse.

Spotfire Server a besoin d’une base de données pour stocker ses propres données. Avec Spotfire 7.8, il est possible d’utiliser Microsoft SQL Server 2016.

Add context to your KPI charts with Sparklines that visualize the trend over time.

Use TERR to define your own Spotfire aggregations in R.

Business Author users can now create and configure KPI chart visualizations using a simple drag and drop method.

A new task, Export Data to File, has been added in Automation Services, and new features have been added to the Send Email task.

When using the Zoom Visibility property to create geographic drill-downs, map layers interactivity switches automatically as you zoom-in/out the map.

Create and edit connections to Google Analytics and Salesforce in the web authoring client.

Create great mobile Spotfire dashboards and reports that scale with your screen.

Improved BEX variable handling and ability to configure how the SAP BW characteristics are displayed in the Spotfire UI.

Create custom panels in the web client to visualize contextual information, adding controls or other domain specific functionality to Spotfire.

Create more compact and better looking tables and cross tables, with better control over cell width, alignment, and absolute sorting.

Easily monitor and maintain your scheduled updates and your web player resources from new web UIs. Easier deployment of data connectors to Spotfire Analyst users.

Create map charts with multiple layers of data. Use your favorite map background. Visualize map layers from GIS.

Attivio has the ability to identify, integrate, unify and provision virtually any type and amount of structured data and unstructured content. Spotfire's new self-service connector to Attivio makes it easy for business users to connect to, search and analyze the result in Spotfire.

Leverage the new Web Panel API to create custom panels in the web client to visualize contextual information.

See real-time business performance metrics at a glance—on your phone, your tablet, or your computer.

New support for Tile Map Services (TMS) means you can more easily use the base map background of your choice.

Set a map chart to automatically zoom-in to the filtered data.

Spotfire data panel now has a built-in unpivot option on the right-click menu.

Business Author users can now automatically connect to Salesforce.com.

Import data from two major in-memory NoSQL databases without any external applications or platforms.

Change individual column width, text alignment, and orientation to make your tables more compact and readable.

In addition to rectangle and lasso selection tools, the new radius tool lets you mark data around a location.

From both the source view and the library, you can now select between "Always New Data,” "Stored Data,” and "New Data When Possible.”

Spotfire® Business Author and Spotfire® Analyst can incorporate Google Analytics data with ease and speed.

Amazon Redshift, Hortonworks, Oracle and Oracle MySQL, Pivotal Greenplum, Pivotal HAWQ, and Postgres SQL.

Control how resources are scaled, isolated, and used with rules that route users to specific resources.

A chat box within the visualization helps groups focus, bring insights, and make decisions.

Quickly see how parts of the whole negatively or positively affect the total.

An improved data panel let's you get a quick overview of your data and easily make adjustments.

Spotfire has certified connectivity with Apache Spark so you can perform large-scale data analysis.

Spotfire now has an improved integration with SAP HANA Analytics. Expanded support for SAP HANA Information Views and Attribute Views promotes a greater navigability of the data, in addition to overall performance enhancements when handling SAP HANA Analytics.

In a few clicks you can split a column with multiple values in its cells into columns for each of the distinct values.

Press Refresh while in a Spotfire Cloud analysis for the latest updates to the data.

You can use much of the Comprehensive R Archive Network (CRAN) with Spotfire out-of-the-box.

ODBC Drivers for TIBCO Spotfire Analyst are now available directly in the 'My Downloads' section of Spotfire Cloud.

he Spotfire Analyst client now runs on 32-bit operating systems and no longer requires Internet Explorer 10+.

Comments that can explain and draw attention to key points in your visualization.

Interacting with a visualization in one browser window automatically updates the other windows.

Deliver more information with horizontal lines on whiskers, single diamonds for median values, or dotted lines for averages.

Change the data order and categorization, create new columns, fill in empty values, and format on the fly.

The new driver makes it easy to browse your Salesforce data and answer questions fast.

View data table sources and what’s been done to the data, and preview the results from each of the intermediate steps.

The streamlined filter selector allows quick selection and deselection of filters to get the view you need faster.

Column names and data are sorted in time sequence (not alphabetically), with local culture settings upheld.

Improvements to connectors for Microsoft SQL Server Analysis Services, SAP BW.

Embed Spotfire visualizations in HTML for an interactive data analysis experience on the web.