Better and faster analytics on your finger tips.
We heavily rely on Spotfire in our organization for business intelligence requirements. It has been verified that this is an incredibly …
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What is Spotfire?
Spotfire® is a data visualization platform that utilizes predictive analytics. In addition to data viz, it includes data wrangling capabilities, predictive analytics, location analytics, and real-time streaming analytics. Spotfire® is a business unit of Cloud Software Group, formerly known…
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How Spotfire Differs From Its Competitors
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Popular Features
- Customizable dashboards (294)9.191%
- Pre-built visualization formats (heatmaps, scatter plots etc.) (306)8.686%
- Drill-down analysis (289)8.383%
- Formatting capabilities (302)7.878%
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TIBCO Spotfire Review: Translates Data To Be Visualized For More Effective Understanding
02:38
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Spotfire for Amazon Web Services
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Spotfire Cloud - Consumer
$250/yr
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per seat
Spotfire Cloud - Business Author
$650/yr
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per seat
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What is Spotfire?
Spotfire® is a data visualization platform that aims to speed individual time to insight and spur analytics adoption across the organization. According to the vendor, Spotfire helps users quickly and easily generate insights with three new ways to support their analytical preferences: NLQ powered search, AI-driven recommendations, and direct manipulation. Users can add context with native streaming for integrated analyses of real-time and historical data, best-in-class geoanalytics, and one-click predictive analytics to go beyond basic visualizations and understand the factors driving trends and what will happen next.
The vendor states Spotfire's differentiating hybrid in-memory/in-database analytics architecture supports the most demanding enterprise needs, scaling to thousands of users and limitless rows of data.
Spotfire is deployed in companies in financial services, energy, manufacturing, consumer packaged goods, government, travel & logistics, helathcare, and life sciences.
Spotfire® is a business unit of Cloud Software Group, formerly known as TIBCO Spotfire.
The vendor states Spotfire's differentiating hybrid in-memory/in-database analytics architecture supports the most demanding enterprise needs, scaling to thousands of users and limitless rows of data.
Spotfire is deployed in companies in financial services, energy, manufacturing, consumer packaged goods, government, travel & logistics, helathcare, and life sciences.
Spotfire® is a business unit of Cloud Software Group, formerly known as TIBCO Spotfire.
Spotfire Features
BI Platform Features
- Supported: Administration via Windows App
- Supported: Administration via MacOS App
- Supported: Administration via Web Interface
- Supported: Live Connection to External Data
- Supported: Snapshot of External Data
- Supported: In-memory data model
- Supported: OLAP (Pre-processed cube representation)
- Supported: Multi-Data Source Reporting (Blending)
- Supported: Data warehouse / dictionary layer
- Supported: ETL Capability
- Supported: ETL Scheduler
Supported Data Sources Features
- Supported: MS Excel Workbooks
- Supported: Text Files (CSV, etc)
- Supported: Oracle
- Supported: MS SQL Server
- Supported: IBM DB2
- Supported: Postgres
- Supported: MySQL
- Supported: ODBC
- Supported: Cloudera Hadoop
- Supported: Hortonworks Hadoop
- Supported: EMC Greenplum
- Supported: IBM Netezza
- Supported: HP Vertica
- Supported: SAP Hana
- Supported: Teradata
- Supported: Salesforce
- Supported: SAP
- Supported: Google Analytics
BI Standard Reporting Features
- Supported: Customizable dashboards
- Supported: Report Formatting Templates
Ad-hoc Reporting Features
- Supported: Drill-down analysis
- Supported: Formatting capabilities
- Supported: Predictive modeling
- Supported: Integration with R or other statistical packages
- Supported: Report sharing and collaboration
Report Output and Scheduling Features
- Supported: Publish to Web
- Supported: Publish to PDF
- Supported: Output Raw Supporting Data
- Supported: Report Delivery Scheduling
Data Discovery and Visualization Features
- Supported: Pre-built visualization formats (heatmaps, scatter plots etc.)
- Supported: Location Analytics / Geographic Visualization
- Supported: Predictive Analytics
- Supported: Support for Machine Learning models
- Supported: Pattern Recognition and Data Mining
- Supported: Integration with R or other statistical packages
Access Control and Security Features
- Supported: Multi-User Support (named login)
- Supported: Role-Based Security Model
- Supported: Multiple Access Permission Levels (Create, Read, Delete)
- Supported: Report-Level Access Control
- Supported: Table-Level Access Control (BI-layer)
- Supported: Field-Level Access Control (BI-layer)
Mobile Capabilities Features
- Supported: Responsive Design for Web Access
- Supported: Mobile Application
- Supported: Dashboard / Report / Visualization Interactivity on Mobile
Application Program Interfaces (APIs) / Embedding Features
- Supported: REST API
- Supported: Javascript API
- Supported: iFrames
- Supported: Java API
- Supported: Themeable User Interface (UI)
- Supported: Customizable Platform (Open Source)
Spotfire Screenshots
Spotfire Videos
Intro to Visualizations in Spotfire
Creating a Dashboard in 5 Minutes
Spotfire Application Walkthrough
Advanced Analytics Scripting with Python and R
Spotfire Integrations
Spotfire Competitors
Spotfire Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Linux, Mac |
| Mobile Application | Apple iOS, Mobile Web |
| Supported Countries | Available in all regions |
| Supported Languages | English, Spanish, French, German, Portugese, Chinese, Italian |
Spotfire Downloadables
Frequently Asked Questions
Spotfire® is a data visualization platform that utilizes predictive analytics. In addition to data viz, it includes data wrangling capabilities, predictive analytics, location analytics, and real-time streaming analytics. Spotfire® is a business unit of Cloud Software Group, formerly known as TIBCO Spotfire.
Reviewers rate Customizable dashboards highest, with a score of 9.1.
The most common users of Spotfire are from Enterprises (1,001+ employees).
Comparisons
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Reviews and Ratings
(810)Attribute Ratings
- 8.3Likelihood to Renew
- 9Availability
- 7.1Performance
- 8Usability
- 8.7Support Rating
- 8.8Online Training
- 7.3In-Person Training
- 8Implementation Rating
- 7.1Configurability
- 7Product Scalability
- 7Ease of integration
- 5Vendor pre-sale
- 5Vendor post-sale
- 8Data Visualization
- 9.3Data Sources
- 8.2Data Sharing and Collaboration
- 4Tibco Spotfire Smart Recommendations
- 8Tibco Spotfire Data Wrangling
- 6Tibco Spotfire R Engine
- 8.1Tibco Spotfire Mapping
Reviews
(76-100 of 335)Companies can't remove reviews or game the system. Here's why
Used by multiple business units for analytics / field analysis. Utilized by data scientists / analysts to create reports and other informational forms for use throughout the company.
- Good technical support
- Ease of use / upgrading on the back end
- Intuitive and easy to use desktop / web clients.
- Could use a built in updating feature
- Better debug / report issue troubleshooting
- Better cleanup of previous versions
May 23, 2019
Great for the analysis of scientific data!
Spotfire is a great platform to display scientific data. Gives much more graphical flexibility of scientific software, and allows for the easy building of custom analysis.
- Graphical Analysis
- Custom Analysis
- Metadata
- More interactivity between graphs
- Include a data clean-up session
- Wizard on which analysis to pick depending on your data
May 21, 2019
Data Analyst in Oil and Gas, Uses Spotfire Daily
We usually use Spotfire to process, visualize and analyze large field datasets, this data most of the time is near real-time engineering data. We do pull flows, pressure and temp data and perform many ad-hoc calculations trying to address causation most of the time.
- The power of Spotfire comes from its ability to perform multi-level filtering that is tied back to your data everywhere so you don't need to re-implement your filters again.
- I see Spotfire standing in the middle between being a Data Vis. or Data Analytics platform and that's what sets it apart from Alteryx, Tableau and Power BI.
- The ability of Spotfire to host R and Python is another great strong point that gives the users huge flexibility to implement anything they can't find, not to mention its great custom expressions interface. I am not sure about other platforms but I was able to process 8M rows data very easily.
- More enhancement to produce combination plots (Scatter+Line)
- Add support for GGPLOT library in R
- Edit curves individually
May 16, 2019
Spotfire Review
It was used by the forecasting department in our organization, aiming to visualize and analyze the large amount of traffic data we had.
- In depth data analysis function
- Great selection of visualization tools
- Recommendation for vitalizations
- Not quite user-friendly layout
- Visualization is not as pretty as Tableau
- Not designed to work collaboratively
May 01, 2019
Great Product!
I am the only one who uses it. We do data analysis, wrangling, and data quality spot checks with Spotfire. It also aids us in our quarterly reserves process, where it is necessary to tie in historical costs, profit, forecasts, etc., with forecasts in our reserve database. The 'combine tables' feature is very helpful with this.
- Combining Tables
- Filtering Data
- Graphics
- Would like to see more GIS capability
April 30, 2019
Spotfire - The Oil and Gas Standard
Oil and gas firm doing operational, reservoir and financial analysis. I use it to look at results from risk for monte carlo simulations of hedging results on a financial model. Spotfire allows us to visualize multivariable analysis across a 1 million row database quickly and easily. It is quick to do and allows easy configuration.
- Intuitive to use
- Fast to get what you want.
- Results look very professional and presentable
- Expressions and some nomenclature can be hard - espically for a non technical background
- Data integration and importing seems to be behind the curve to Tableau
- This could be good or bad - but the interface even after changing to version 10, has not changed all that much since early versions - 7 years ago or so.
Spotfire is actually used by one of Radix's clients and we are just developers. Since last year, an application for report generation was developed by Radix with an interface for the user to see the data from OSISfot PI System and mark events, generating a PDF at the end of the process. The application also is integrated with a SQL Database to save any progress by the users.
- Processing big amounts of data quickly.
- Intuitive platform to design user interfaces for databases.
- Calculates new columns and transforms the data quickly.
- Has many possibilities of development using IronPython.
- PI Integration has many limitations.
- PI Integration is also very slow to pull data (it gets very slow with more than 13M points).
- PDF Generation is also very limited, just prints the screen.
By using Spotfire, I could collaborate with people from another department to analyze the same set of clinical data, and often times, that helped us to look at the same data with different angles and thus providing fresh insights. Definitely more interactive and real-time compared to email for example. When data is updated, it is also updated real-time, so it helps with version control.
- Interactive
- Provides a trail for others to follow how a particular analysis was done
- Version control
- Some limitations on customization of the graphics but not an issue
April 23, 2019
Powerful & Automatable Visualisation Platform
We utilised Spotfire to help analyse results from complex observational assessments to help identify opportunities for efficiency, financial and CEX improvements across customer care and back-office operations. We built each tool and methods we defined allowing us to take data from pre-defined studies and actually start analysing results mid data capture. The dashboards we created allowed us to evidence any need for change and associated impact in seconds, while also provided a portal where clients can access our finished dashboards as a takeaway document, alongside traditional excel and PowerPoint documents.
- Data transformation such as Pivots and Unpivots were a key feature.
- The ability to self publish and manage dashboards without IT support allowed us to be very agile when delivering projects.
- Custome calculation functions, with supported rules and built-in error checking, made the process very intuitive.
- Combining graphs and objects into the same space was impossible.
- Making things look pretty was not as easy as some other projects.
- Export functionality was lacking.
- No market place for community built visuals.
- UI design a little different to most products, increases learning time.
April 10, 2019
select_*_from_public
Spotfire is used across the whole organization, for scientific data visualization.
- Various visualization templates with easy drop-to-show functions.
- TERR/Infolinks for customized data operation.
- Library and web player for easy sharing of analysis results.
- More integration with Python.
- More support on different column type in database connection, like TSvector in PostgreSQL.
- Animation of the data, like gif-export of data changing over a given time window.
I am a PostDoctoral Research Associate at the University of Cambridge with a speciality in computational chemistry (also known as Chem(o)informatics). I use Spotfire within the Department of Chemistry on an academic license as part of my daily job. It’s an excellent tool for data visualisation for drug discovery. It helps me to quickly share key trends from both chemical and biological data that I generate from my research with colleagues in different groups and departments within the university. The ability to import and process large datasets is essential in my field.
- Quick to plot complex graphs
- Capable of loading large data sets
- Customisable
- Add functionality for colour map (e.g offered in Seaborn Clustermap function in Python)
- Add functionality to calculate more cheminformatics-like columns like chemical scaffolds and similarity matrix calculations
- Improve trellis functionality
- Add functionality to add chemical structure within heatmap plot
April 02, 2019
Novice user in the semiconductor industry
It is being used by the Engineering department at my organization. It helps to visualize and analyze trends in semiconductor manufacturing and development.
- Loads large data files with ease. Ease of loading data from multiple data files.
- A wide range of plot types are available that can enhance your understanding of the data: bar plot, histogram, scatter plot, trellis plot.
- Trellis plot. When you have multiple variables, it is very easy to visualize.
- Scripting. It would be great to have the ability to generate the plots w/ Spotfire, completely in command mode and output to some directory.
- The graphical interface could be improved as well. Like being able to use the drag of a mouse to increase the size of the plot box area.
- An easier way to apply filters in the GUI.
April 01, 2019
Spotfire: The new gen BI
Generally, Spotfire is not used as a standard tool in the organization. However, it is increasingly being used by the individuals within the organization for their presentation and visualization purposes. It is to be noted though that there are other tools too which are also used, albeit less often in the departments too (PowerBI is a prime one). The specific reasons it's being used so far is enhanced visualization and some advanced analysis which would not be intuitive in Excel. However, a lot of features are not being used as of now.
- Visualization of data split into multitude of levels so that anyone seeing it can get more value out of it. For example, in a database having information about height and weight of all people in the school can be split into sex, ethnicity and/or country in a single screen which can provide a much greater insight
- View and merge data from multiple sources and show them in one place. It's very easy to add data from SQL servers, Web servers, and local Excel/ASCII files in one place and see it seamlessly.
- It is possible to make the entire installation on an intranet and access the system from any web-enabled device.
- Spotfire does limit a lot of its functionality when it comes to linked data (where the data is not imported). I do understand the reasons behind it, but I find this very restrictive.
- I have faced nagging issues with defining and managing relationships within multiple tables. Sometimes it makes sense, but most of the time it doesn't and the error messages are not at all useful.
- In case the data is embedded, it takes a while to load. There should be a way to make it better.
March 28, 2019
Perfect for data discovery!
Used widely across different groups, but more among the engineering side of the house. The ad-hoc capabilities are very useful to dig into data, something that standard reports can provide only with long development cycles. Its in-memory capabilities lend to high performance. The various visualization features provide insight that is usually not seen with tabular/standard reports.
- Superior ad-hoc capabilities
- Impressive performance: hardly any latency
- Multiple visualization options
- Impossible to edit data sources of reports built from information links. I understand that is being resolved in higher versions
- Information link designer's GUI is archaic/clunky.
- Issues when using ODBC connections, we have had to completely recreate reports for ODBC changes.
I use Spotfire for every division, including Sales, Operations, and Finance. It has saved many man hours from running manual daily reports. Spotfire has also provided an in-depth look at our operations software, allowing us to track different metrics and evaluate the business at a high and accurate level that we were not able to do before.
- Show the up-to-date status of operations.
- Provides excellent visuals to analyze different accounting metrics including accounts receivables.
- Automated reports in PDF format.
- The exports to Excel should be formatted better or have the option to remember a set format so they look more professional when in an automated email.
- Compare different events on the same timeline when the data has different date names. Such as tools shipped date vs tools returned date.
- The main window when you open Spotfire X needs to look like the previous version 7. With X you cannot read the entire name of the reports and it is just wasted space on the right half of the screen.
To my knowledge, it is only being used by individuals. I personally use it to visualize high-parameter data, combining basic science acquired data and clinical parameters.
- Quickly plot data with large numbers of variables.
- Visualize data using colors, symbols, size—all of which can be allocated to change with a given variable.
- Intuitive plot axis to easily visualize data,
- Re-arrangement of bars in a bar chart where a plot hierarchy has been established (at the moment you can only sort A>Z or Z>A).
- Option to turn plots into grayscale.
- More scientific plots of data (e.g. individual dots of a group of data with a median line—similar to that of GraphPad Prism, the standard for scientific publications).
March 18, 2019
Spotfire: a foundation for a data driven organization
We are resellers of Spotfire software and support our customers with services, upgrades, and maintenance.
- Visualizations and discovery
- Initial wrangling
- Data-driven decision making
- Data tagging can be made more user-friendly.
- Security updates documentation
- Embedding predictive analytics, more AI driven.
March 15, 2019
Spotfire for data analysis
Spotfire is useful for processing and visualising large datasets and picking out specific information with ease. It is very useful for the development process as we can analyse data much faster than with other tools such as Microsoft Excel. It is also easy to output data plots and summaries for displaying in technical reports.
- Plotting graphs
- Visualising data
- Analysing data
- Difficult to set up for the first time user
- Change in thought process required when moving from other more basic software
- Lots of options available
March 15, 2019
Spectacular Spotfire Saves Time.
Spotfire is used as the main reporting and analytics tool. It's used to give detailed sales and ordering analysis to help stores and the head office understand how to change the business for the better. It is used for budget modelling and higher level analytics in the head office to understand traffic and benefit of programmes such as promotions and events. It also provides fast access to organised data than our ERP systems and takes the work out of interpreting it.
- Fast to insights - its easy to get the first few hundred yards of a report or analysis completed.
- Handles millions of rows of data without issue. If you are currently an Excel heavy organisation and are limited by the processing power and rows limit, then Spotfire will help you considerably. Adding data is simple and fast and so our weekly reporting is easy.
- Visually bright and interest and beautiful, with very useful features to make it easier for the end user to navigate through the available data. Highly adaptable to many uses.
- The Web Player is superb, so easy for non-technical end users, and no burden on the IT team.
- There is an extensive amount of online resources to help you and a useful community. I've also found the support teams to be very helpful.
- Arguably the most useful feature of Spotfire is the information builder which allows sql queries on APIs to databases and ERPs, however, this doesn't come with the entry package, spotfire cloud. As a small company we cannot justify hosting ourselves and we're not big enough for enterprise, so we have to manually load the data ourselves every week.
- The custom expression feature unlocks some of the better features, but requires some level of programming to understand.
- Cloud gets the updates to Spotfire a lot later than the non-cloud users.
March 15, 2019
Very useful software. Makes my job easier.
Spotfire is being used as a tool that allows us to visualize large amounts of data. Visualizing the data then helps us to to spot trends and compare much easier than just looking at many numbers in a spreadsheet. Spotfire works much better than Microsoft Excel, for example, when it comes to handling and quickly manipulating data. It is used by several engineers at the company I work for.
- It did not take a very long time for me to learn how to use it. It felt quite intuitive.
- I can generate visuals very quickly. When there is a need for something to get analyzed quickly, Spotfire can usually help me to get it done very fast.
- It handles very large amounts of data, which as an engineer comes in very handy.
- I sometimes struggle to make visualizations look exactly how I want, and I feel like there could be an easier way of making simple visual changes.
- I know I mentioned it was easy to use, but some features still feel clunky, like when I want to change the theme of a visual.
- Being able to add extra columns after already starting a project.
March 08, 2019
Spotfire review: chemistry centric
I am a freelance chemistry consultant serving clients in the biotechnology/pharmaceuticals industry. Prior to this I was in big pharma for 20+ years and used Spotfire for data analysis and visualization. We have complex datasets and Spotfire allowed us to analyze components and look for trends. There are other programs that will do this, but Spotfire has a chemically intelligent add-in that allows chemical structures to be linked to data. This is a critical component for my specialty, so I continue to use this to assist my clients with their data analysis needs.
- Importing and exporting of large datasets is very fast, as is manipulation of the data within Spotfire. Other programs I have used don't do this as well.
- Data visualization is extremely powerful and fairly intuitive to set up—there are multiple ways to view and organize data. Additionally, the statistical analysis and clustering capabilities are powerful and fairly straightforward to use.
- The export function into Microsoft Products is nice, allows easy loading into static presentations.
- Like most very powerful software programs there are parts of Spotfire that are not intuitive to use. While the help function inside Spotfire is useful—I like the fact that the help function is not just a static .pdf file, but has index/search capabilities. It doesn't cover everything, and sometimes getting data into Spotfire can be a challenge. For example, adding and combining data is not always a simple process depending on the data source
- I have rarely tried to use the Spotfire support team so this is a small sample size, but I have not been impressed with their response time or customer assistance when I have used them.
- This is a specialized piece, but calculating and inserting chemical properties in a compound table can be slow in Spotfire if the data set is large. I have used other chemically-intelligent data visualization programs where calculated properties are done much faster.
March 08, 2019
Spotfire: Robust, Shareable Data Visualization
My experience with Spotfire occurred within an engineering context. Spotfire was used across the entire Medtronic Tempe campus. Spotfire is instrumental in rapidly sharing and analyzing data in a centralized, portable way. Its robust visualization tools allow engineers to rapidly identify trends which indicate either problems to be addressed or improvements which should continue. The automated nature of Spotfire allows analyses to be run on new data sets without any additional hassle.
- Data visualization: Spotfire quickly reveals trends through its robust visualization tools. Many different graphical representations of the data are immediately available and can be used effectively with either default settings or can be tweaked to the specific needs of an audience.
- Extensibility: Spotfire allows for the implementation of just about any data analysis you can think if. If the analysis that you want to run is not already built in, Spotfire includes the option to write R or IronPython code to extend its capabilities.
- Shareability: When you develop a tool or visualization in Spotfire, you can publish it in such a manner that your audience only needs a link to view it: they don't even need to have Spotfire installed on their own machine. Web publishing maintains the interactivity of your visualizations and allows users to download data sets for their own use.
- Feature parity between web publishing and the Spotfire client: some features of Spotfire that work flawlessly in the Spotfire client break when published to the web. In particular, custom JavaScript inserted into the analysis tends not to render well on the web even if it renders perfectly in the client.
- Lack of thorough documentation: particularly when comparing Spotfire documentation to the documentation for Python, JMP, or Matlab, Spotfire's documentation is lacking. In particular, I remember finding documentation on custom SQL queries being very sparse. Most often I would base my Spotfire solutions on examples found on forums rather than on official Spotfire advice.
- The execution time of custom R data functions: Spotfire uses its own implementation of the R runtime (called TERR, Spotfire Enterprise Runtime for R) which I noticed to be significantly slower than the open-source runtime for certain tasks.
- Error reporting: error reporting by both TERR and IronPython is very opaque and makes debugging very difficult.
March 06, 2019
Excellent for complex & data-intensive requirements
It is not used internally within our organization, but we helped our clients get it implemented within their organization. I would take an example of a client from the Oil & Gas sector to answer this question and rest of the questions. This client used it within the Planning & Strategy department. It was used to create dashboards for their future planning of demand-supply management.
- As compared to other similar products (Tableau, PowerBI), Spotfire is more advanced when it comes to integrating with programming languages. In this particular project, all the data was processed in R and this processed data was to be used in dashboards. It was well integrated with Spotfire through TERR.
- The visual aesthetics of the charts/graphs prepared using Spotfire can be improved when compared with other competing products.
- Also, the user interface is not very intuitive for first-time users. It takes practice before one gets really comfortable using it.
March 06, 2019
Spotfire -- Enter the New Era of Data Analytics
We are using Spotfire across the company to calculate and analyze the risk assessment of multiple clients. With the use of this amazing product, we saved our clients almost 80% of their loss due to theft. We also helped them in analyzing their stored data to figure out which store is doing good and which needs attention. Previously, we used other reporting tools, and migrated all our reports to Spotfire some four years ago. The main advantage we see is that the reports run faster than other reporting tools, we can connect to multiple databases, calculated columns are cached in the report so that it increases your report speed, and many more.
- Reports load faster than any other reporting tools, and your data can be cached in the memory to avoid the processing time.
- It supports almost all the data sources available, which is lacking in other tools.
- It supports Html, Java, R, and Iron Python coding. That means that you can customize your dashboards in whatever way you want them to be.
- It can deal with more than 100 million records without a delay in loading.
- Sometimes, visualizations save the values. For example, if you change the column name in column properties, that affects the axis in visualization, but not the "limit data by expression" in the properties data tab.
- Like some visualization tools, we need to have detailed visualization in hovering the mouse pointer on the main visualization.
- We need to have the option to auto-size your Text area UI to whichever device screen you are using. Currently, it is not auto fitting to different screen sizes.
March 01, 2019
Sharing my experience with Spotfire. One of the greatest analytics platforms in the market today.
Our product has an analytics module and it is powered by Spotfire. We support and train our customers on how to use our analyses and Spotfire.
- The analyses behaved excellently while working with huge amounts of records. This is one of the strengths for Spotfire, the platform allows us to work with a significant amount of data without affecting performance.
- There are several features that offer us different ways to suit the reports and analytics needs. For example, scheduling the execution of reports to improve performance and email reports on schedules to deliver information right on time. It is able to connect to different data sources and from different types of systems, etc.
- So easy to use. It is amazing how you can easily develop analyses and reports. It gives you time to be creative instead of facing complex steps or trying to figure out how to do things.
- It is as simple or as complex as you want. It allows you to add complex code if needed.
- A very complete list of aggregations and statistics functions.
- We could improve the Web player for the use of the Business Author users and add some functionalities that are only available to the Analyst today. Like creating markings, working with the filter schemes, etc. Basic functionalities that could be available for the Business Author.
- Improve the architecture to support different single sign-ons if the customer has to be in a shared environment.
- Improve the way to add code to the DXP ( java scripts, iron python, HTML, etc.).
- Improve the text areas and visual theme for the easy personalization of analyses.