Business Intelligence Tools Features

Read what people say are the most valuable features of the solutions they use.
Yali Pollak uses Tableau
Data Analysis Team Leader at Viber
* Drag and drop: It's easy for beginners to use Tableau as it's very intuitive and simple to create insights. * Quick table calculations: There are some best-practice shortcuts for tables, which means Tableau can be implemented very quickly. * Data Connectors: Tableau has many different connectors for different databases. It's very easy to connect to MySQL, SQL Server, Amazon EMR, Presto, Redshift, BigQuery, and so on. Just name it and they have the connector; the work they do is very impressive. View full review »
Scott Kaylie uses Domo
Chief Data Officer at Mobivity
Distribution of visualizations via a web portal is valuable, but really is basic table stakes. If you are looking for a true analytical tool, skip Domo. View full review »
Gareth Crawshaw uses Tableau
Consultant at a financial services firm with 5,001-10,000 employees
Extraordinary ease of use, easier to use than any competitor product I’ve used in 15 years or so I’ve worked on MI/BI. Since I originally wrote this, I have found the mapping on Tableau has been extremely useful and easy to use, particularly that it includes very good geocoding for the UK. In terms of the UK, the support and community here is also exceptional and I know that I don't have to trawl through sites endlessly to find solutions, the community is one of the strongest I've seen thus far in BI View full review »
Jonathan Friesen uses Tableau
User at a energy/utilities company with 1,001-5,000 employees
Easily visualize data. View full review »
Saravanan Ramaraj uses Knowage
Solution Architect at MIMOS Berhad
QbE(QueryByExample) using Hibernate Support for both Liferay and ExoPortal Data Mining using Weka View full review »
Abdulshukoor Mohammed uses Knowage
General Manager Information Technology & Enterprise Applications Manager at a tech services company with 201-500 employees
The Mobile Edition, which now they have stopped in the Community Edition. View full review »
Justin Larson uses Microsoft BI
Principal Business Intelligence Analyst at a logistics company with 1,001-5,000 employees
SSRS and the Tabular server/Vertipaq engine/DAX are probably the two most valuable components, leaving out SQL Server (and Azure versions of it, including the Azure warehouse and big data technologies). SSRS's display functionality is resoundingly flexible, and by comparison to other vendors, relatively easy to learn. SSAS Tabular performs very well with modest effort in design, and the ability to perform complex business modeling through DAX calculations stands out in a crowd. View full review »
AyodeleMakun uses QlikView
Qlik Technical Consultant at a tech services company with 11-50 employees
E-T-L, The Extract, Transform, and Loading capabilities of QlikView make it a highly sophisticated self-service business intelligence tool for developers and analysts who desire much more advanced handling of dirty or unconsolidated data. QlikView scripting language has numerous transformation functions. View full review »
Larry Keller uses Tableau
CEO with 1,001-5,000 employees
I have been using Tableau since 2006; 3.5 years as an employee of Tableau Software and 7 years as a trainer/consultant. The more robust features include improved geo-encoding. Shape content is a big winner, as is cluster analysis. Cross-DB joins are helpful, as well. A huge improvement is the ability to render DV to any device from phone to PC. View full review »
PBhatt uses Birst
Sr. Business Intelligence Consultant at Avantas, LLC
1) Connection to external sources : Birst uses several connection methods to take data in from your data sources and stages it into its own “Data Mart” if you will. 2) Staging and Warehousing: This stages data from several sources makes Birst a fairly robust data warehouse solution. A lot of vendors can do that well and so does Birst. 3) Modeling: Birst utilizes a start schema for dimensional modeling of the data that is staged. 4) Visualization: In most vendors Data warehousing and then data modeling were two separate functionalities. The idea was to be able to sell visualization tools as a separate suite to users who already had an in-house warehouse. However, recently, several vendors have started combining the warehousing and visualization abilities into one stop shop. For example, for a long time, Tableau was and probably is the leading provider of visualizer tools but warehousing data through tableau is much more cumbersome and resource intensive. Birst, Qlikview etc. have not been able to provide the exact beautification and features in the visualizer for self-service dashboards as Tableau but they have managed to seamlessly allow data visualization and dashboard development from the warehouse on the go. This goes into the technical inter-operability of the warehouse with visualization, data understandability, query performance and render time. View full review »
Andrea Paparello uses Knowage
Senior Project Manager at Indra Company
* SpagoBI Server offers the core and analytical functionalities. It provides the Analytical Model (reports, ETL, OLAP analysis, real-time dashboards, KPI, cockpits, GIS information, etc.), administration tools and cross-platform services. * SpagoBI Studio has high productivity in the development phase; it easily permits the developer to design analytical documents such as reports, charts, geo, cockpits. * SpagoBI SDK for integration and to use SpagoBI with external applications. View full review »
Akarsh Agnivesh (Tableau/Spotfire/R Enthusiast) uses Tableau
Manager, Business Intelligence at a tech services company with 10,001+ employees
The most valuable feature in Tableau Desktop developer version is the drag and drop feature of dimensions & measures in the view. Parameters and action filters are also great. View full review »
Mike Bernaiche uses IBM Cognos
Business Analytics Coach at a software R&D company with 51-200 employees
IBM Cognos Analytics is a data discovery and reporting platform for your department or your entire enterprise. But it's much more than just managed reporting: It provides departmental users with the self-sufficiency they need to bring in their own external data, explore it, and even merge it with corporately governed data, all without needing to go to IT. With that ability, they can get fresh perspectives that are simply not available in their existing reporting environment. View full review »
Jonathan Mc Knight uses IBM Cognos
Business Intelligence Manager at Mspark
We are able to combine data from multiple sources across the organization and report on the information as a single source. This allows us to provide insights we could not easily determine before our BI implementation. It is fairly easy to use provided you have a good data structure/framework under the hood. View full review »
Ed Dallal uses Alteryx
Founder, Chief Executive Officer (CEO) & President (company of 1) with 51-200 employees
Data Blending and Predictive Analytics: Alteryx is very intuitive and you don’t need to know how to write code to use Alteryx. View full review »
it_user426315 uses Alteryx
Associate Solutions Analyst at a healthcare company with 501-1,000 employees
One of the most valuable features to me is its ability to take millions of rows of data, blend them with more millions of rows of data, then output the data set to a Tableau Data Extract can output to a *.tde, we are able to use it hand-in-hand with Tableau Server to develop data access solutions for our users. View full review »
Kathy Williams Chiang uses Tableau
VP, Business Insights at a tech services company with 51-200 employees
The best features of Tableau include: * Freedom of connection: Its ability to connect to practically any database. There is no need to go through cryptic ODBC or other driver setup procedures. * Freedom of exploration: The ease one can explore a data table. With simple drag and drop, you can produce easily readable cross tabs and paretos on-the-fly to learn everything you need to know about an unfamiliar table. * Freedom of expression: You can pretty much build any type of analytic structure you need to analyze your data. * Built-in visual best practices: Interfaces are clean and simple. You have to work hard to produce an ugly chart in Tableau. View full review »
Roy Yung uses QlikView
Data Architect at a comms service provider with 1,001-5,000 employees
QlikView’s associative model is a fantastic design that enabled the Green/White/Grey feature. This feature greatly helped us highlight the relationship between different kinds of data. To further explain the Green/White/Grey feature, let’s take a sales report of an electronics shop as an example. In this report, it may have dimensions (Product Category, Salesman) and expressions (Sales Qty, Sales Amount). Green means the values of dimension that you have selected. Under the Product Category dimension, it will have different values e.g. Smartphone, Laptop, Desktop. If we want to see the sales performance of Smartphone, we can click on Smartphone, then it will become green. We can also select multiple values e.g. Smartphone and Laptop in the dimension. White – shows the values of dimension which are related to the another dimension values that you have selected. Grey - shows the values of dimension which are NOT related to the another dimension values that you have selected. By following the previous example, we have selected Smartphone in Product Category dimension. In the Salesman dimension, Salesman e.g. Jeremy or Janice who have have sold Smartphone will be shown in white color. Another Salesman, e.g. Roy, who didn’t sell Smartphone will be shown as Grey. This is very useful for us to identify relationship between dimensions Its “Search Object” function is also very useful for us to search for the information we needed. “Section Access” is another great feature as we can identify user authority on accessing data in an easy way. Another feature "Set Analysis" which enabled us to configure different behavior for each dashboard. So that some dashboards (e.g. YTD) can be freezed and not affected by some of the filter selections. View full review »
Sai Krishna J uses Tableau
Data Scientist at a consultancy with 51-200 employees
I believe the most valuable feature of Tableau is the flexibility it offers with regards to the types of visualizations the user can create. A lot of other products in this space offer limited chart types and work in a way that provide little room for customization, if any. But Tableau allows the user to work with its predefined templates such that the end result can be a visualization that is highly customized - in terms of the design, colors, sizes, shapes and the overall visual appeal. This is an invaluable feature as it enables one to communicate more powerfully from the data. I would also consider the ‘Create Calculated Field’ feature as very valuable. It’s one that I’ve used quite extensively. Most of the time, the data we work with will not have all the necessary features that enable us to tell a good, convincing story out of it. Therefore, it becomes imperative that we create them and extract the maximum amount of information possible from the data. View full review »
Joop Moerkens uses IBM Cognos
BI Engineer at a media company with 1,001-5,000 employees
The jobstreams and the ways SQL-scripts can be effectively organized behind icons. View full review »
Carlos Mardinotto Junior uses IBM Cognos
BI Expert at Business Intelligence | DW Consultant | Data Science | Scrum
- We have worked with several reporting software products, and Cognos has a lot of flexibility and is very usable. It will perform most tasks that you would need. View full review »
Francisco Lizama uses Tableau
Manager at a tech services company with 11-50 employees
* Easy of use * Easy to learn * Gradual scalability from simple to complex situations * Wide integration with BI industry View full review »
Analyst22c07 uses MicroStrategy
Analyst 2 with 5,001-10,000 employees
I think ease of use is definitely a benefit to our users, from an administrative perspective, as well as a business end-user perspective. I found that it's very easy to get users into the system, get them familiar. The biggest part is the caveat of our data. We have more trouble getting people to learn our data than we do the structures, the navigation, manipulation, and all of these things that you do as a report developer and end-user. Most of them are familiar with Excel and it's just so similar that they can pick it up very intuitively. When you start talking about the really specialized data sets that we have, that's when it starts to become a little bit more hairy, so that's not really a MicroStrategy component. In terms of self-service, we make use of Enterprise Manager. We've been trying to involve it a little bit more with some of our actual rep data, so we can start to look at that enterprise report utilization on a geographical scale, departmental scale. We've made a few enhancements to our Enterprise Manager system to allow that self-reporting to grow. We see that as a very useful system. It's been incredibly beneficial in diagnosing production performance issues, diagnosing what reports are running slowly, where the SQL could be optimized, opportunities or metrics where we see long-time running performance. Enterprise Manager has been absolutely vital in giving us some of the insights about our system. We're starting to open it up to more and more people to give them the ability and start looking at these things themselves, but it's not the most intuitive system, Enterprise Manager that is, so it's tough. We're trying to bridge the gap between usability and who we let in the system, because you're not going to come in and just pick it up. Personally, looking ahead at 2018, we're getting into the administrative side of our cloud implementations. We're really trying to move to the cloud in 2018, so I see myself getting more familiar with MicroStrategy on AWS Console. And even if we intend to go to the on-prem on AWS, I see us getting more familiar, and it's not necessarily a MicroStrategy component, but structuring the infrastructure of the server in such a way that we're cost-effective, we're maximizing our utilization when we can. I think that is going to be a large component for us in 2018, though it's not necessarily specifically MicroStrategy. Then I think we have a huge enterprise-wide push to Visual Insight. Our environment has transformed over the last year. We were a strong "grid to PDF," "document to PDF," that's all we did. And then they came in with these Visual Insights and everyone was like, "Wow, that's kind of cool." We created a static reporting portal behind it and now, it's just taken our reports to another level. The level of insight that you get in a 30-second glimpse, it just revolutionized it for us. It gives the user a larger subset of the data so that they can actually maneuver around, rather than being specifically pointed at whatever your document is designed for. So VI, Dossier. If we can get on 10.9 this year, I would like to but we're not big on feature releases and we had difficulty with 10.9 on sandbox, so were hesitant right now. Then our cloud implementation, coming in 2018, is going to be a big play on the 10.9, I think. There's no point in us upgrading and then going up the cloud two weeks later. It's a lot of stuff, but that's our focus. View full review »
David Hudgins uses SAP BusinessObjects
Senior Business Intelligence Architect at a tech services company with 11-50 employees
Depends on the use case. The reporting from SAP Business Objects Web Intelligence is amazing, and gives users the ability to quickly access data from existing universes and/or relevant data sources, without the need to involve a functional business analyst or financial analyst. When it comes to visualizations and discovery, SAP Explorer lets the user deep-dive into the data from a visual standpoint. View full review »
Praveen Yalagandula uses Tableau
Sr Programmer Analyst at a construction company with 1,001-5,000 employees
Tableau's strength is visualization. If a report/dashboard is presented in visualization, the end user can easily connect with the data compared to a tabular format. View full review »

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