jsreport

Innovative and unlimited reporting.

(0 Reviews)
About jsreport
jsreport project was born as the reaction to the lack of customizable and open reporting tools on the market in 2013. It is an open source reporting platform allowing developers to define and generate pdf reports. It comes with a different innovative way how to do business r...
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jsreport
Innovative and unlimited reporting.
0.00/5 (0 Reviews)
Product Demo
Core Features
Reporting Software Features
  • Automated Reports
  • Data Source Connectors
  • Financial Reports
  • Marketing Reports
  • Report Export
  • Customizable Dashboard
  • Drag & Drop
  • Drill Down
  • Forecasting
  • OLAP
  • Sales Reports
  • Visual Analysis
Discussions
I would have phrased the question better. Will try to provide short answers to all questions part by part from my perspective:Where is BI going? Short answer: BI is going places, and gong there fast. In my 2010 BI model, we valued the BI software market at about $7.2 billion, growing at a global rate of 6.5% on an average, which is significant compared to more established enterprise technologies. I expect BI to increasingly make an entry into iel smith emerging markets, especially China, India, and Latin America. @Unnati Chauhan BI is going to every single enterprise application and delivering more value than the sum of parts. With Ent. Search, it is helping answer casual user queries. With BPM, it is providing perspective to CEP. What are the biggest problems with the existing established players, and how are startups trying to disrupt them?As with all establishments, the problems are of sustainable growth, keeping BI relevant to the needs of a changing demographic of end-users, being on the forefront of business issues, and noticing trends. Some of the common issues are:    Dealing with semi-structured data, and how to include the same in analysis  How to best use user-generated social content  How to deal with the sheer growth in the volume of enterprise and social data  How to better integrate into other information management technologies and enterprise applications  How to come as close to real-time (right-time, if you will) as required  How to deal with Big Data   This is obviously not an exhaustive list.Startups: One very successful startup that came into prominence in the last few years is Qliktech, which defined a radical approach to data analysis doing away with OLAP cubes. Some other companies are trying to come up with newer ways of data visualization. Some such as Jasper and Pentaho are open-source representations of BI. Newer players have BIRT as a starting point, so building a solution becomes less cumbersome. Still others are innovating with in-memory, in-database, MPP driven architectures and analytical databases.
I would have phrased the question better. Will try to provide short answers to all questions part by part from my perspective:Where is BI going? Short answer: BI is going places, and gong there fast. In my 2010 BI model, we valued the BI software market at about $7.2 billion, growing at a global rate of 6.5% on an average, which is significant compared to more established enterprise technologies. I expect BI to increasingly make an entry into iel smith emerging markets, especially China, India, and Latin America. @Unnati Chauhan BI is going to every single enterprise application and delivering more value than the sum of parts. With Ent. Search, it is helping answer casual user queries. With BPM, it is providing perspective to CEP. What are the biggest problems with the existing established players, and how are startups trying to disrupt them?As with all establishments, the problems are of sustainable growth, keeping BI relevant to the needs of a changing demographic of end-users, being on the forefront of business issues, and noticing trends. Some of the common issues are:    Dealing with semi-structured data, and how to include the same in analysis  How to best use user-generated social content  How to deal with the sheer growth in the volume of enterprise and social data  How to better integrate into other information management technologies and enterprise applications  How to come as close to real-time (right-time, if you will) as required  How to deal with Big Data   This is obviously not an exhaustive list.Startups: One very successful startup that came into prominence in the last few years is Qliktech, which defined a radical approach to data analysis doing away with OLAP cubes. Some other companies are trying to come up with newer ways of data visualization. Some such as Jasper and Pentaho are open-source representations of BI. Newer players have BIRT as a starting point, so building a solution becomes less cumbersome. Still others are innovating with in-memory, in-database, MPP driven architectures and analytical databases.

I would have phrased the question better. Will try to provide short answers to all questions part by part from my perspective:

Where is BI going? Short answer: BI is going places, and gong there fast. In my 2010 BI model, we valued the BI software market at about $7.2 billion, growing at a global rate of 6.5% on an average, which is significant compared to more established enterprise technologies. I expect BI to increasingly make an entry into iel smith emerging markets, especially China, India, and Latin America. @Unnati Chauhan
BI is going to every single enterprise application and delivering more value than the sum of parts. With Ent. Search, it is helping answer casual user queries. With BPM, it is providing perspective to CEP.

What are the biggest problems with the existing established players, and how are startups trying to disrupt them?
As with all establishments, the problems are of sustainable growth, keeping BI relevant to the needs of a changing demographic of end-users, being on the forefront of business issues, and noticing trends. Some of the common issues are:  

  1.  Dealing with semi-structured data, and how to include the same in analysis 
  2. How to best use user-generated social content 
  3. How to deal with the sheer growth in the volume of enterprise and social data 
  4. How to better integrate into other information management technologies and enterprise applications 
  5. How to come as close to real-time (right-time, if you will) as required 
  6. How to deal with Big Data  

This is obviously not an exhaustive list.

Startups: One very successful startup that came into prominence in the last few years is Qliktech, which defined a radical approach to data analysis doing away with OLAP cubes. Some other companies are trying to come up with newer ways of data visualization. Some such as Jasper and Pentaho are open-source representations of BI. Newer players have BIRT as a starting point, so building a solution becomes less cumbersome. Still others are innovating with in-memory, in-database, MPP driven architectures and analytical databases.

Key Details
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