Is baseball your passion? If yes, you'll love our MLB project. See the embedded report below as a preview what you can discover there. Note that the report is interactive! You can right click on values, sort etc.
Click on the link below the report and enter your e-mail address if you want to slice & dice the long-term MLB stats and create your own reports!
Showing posts with label bi. Show all posts
Showing posts with label bi. Show all posts
Friday, May 29, 2009
Friday, May 22, 2009
Play it again Sam!
Our marketing has scored few home-runs in April.
Success or failure come way faster in our world. I would never dream about that we are going to have more unique visitors at our site than Microstrategy or QlikView who have spent millions of dollars on marketing. This is proof that few dollars can beat millions if we spent them right.
Play it again in May, Sam! :-)
Success or failure come way faster in our world. I would never dream about that we are going to have more unique visitors at our site than Microstrategy or QlikView who have spent millions of dollars on marketing. This is proof that few dollars can beat millions if we spent them right.
Play it again in May, Sam! :-)
Tuesday, May 19, 2009
Friday, March 6, 2009
Wednesday, November 5, 2008
Good Data REST API
The Good Data BI platform is accessible through the stateless REST API. This HTTP-based API can be simply used from any 3rd party application as well as from a plain browser. The API provides the full power of our platform (we actually use it as the backend for our web frontend).
In fact the Good Data application consists of a handful types of services. Instances of these services can be dynamically added or removed (via simple HTTP load-balancing) on as needed basis. Add the Amazon EC2 cloud that allows us to add or remove a new machine and only pay for the CPU ticks that we really use. The net result is the great flexibility, scalability and cost efficiency.
The demo video below points at the fundamental architecture differences between our approach and some other on-demand BI vendors who simply deployed an existing BI package (e.g. Pentaho or MS Analytics) on the web (which unfortunately does not prevent their marketing from using the multi-tenant, SaaS mambo jumbo).
This video might help you to better understand the Good Data architecture. I apologize for no audio. Hopefully the simple step-by-step description below helps:
1. The /gdc suffix in the GDC BI platform URL shows the list of the REST API services that the platform provides.
2. Then we navigate to the metadata services that manage metadata for a selected BI project (the FoodMartDemo in our case).
3. We first show the FULL-TEXT SEARCH service. We specify the search term ("sales") directly in the service's URL. The list of matching results is shown.
4. We select one of the reports from the search result to inspect the report's definition. We can spit out the definition in many formats (e.g. JSON, YAML, ATOM, or XML). We use YAML as the default.
5. Then we demonstrate the metadata QUERY service. We list all reports in the FoodMartDemo project. We again inspect one of the reports: Salary by Year and State.
6. Then we are going to demonstrate the using service that shows us all dependencies (metadata objects that the selected report references) of the report. For example the report depends on it's definition (reportDefinition) object. We copy and paste the link of the report definition to the browser URL bar to inspect the report definition object structure. It contains all attributes and metrics that the report displays (all inner objects have their URLs too, so we could continue investigating them).
7. Then we navigate to the XTAB service. The XTAB can execute and cross-tabulate (or pivot if you like) the report's definition. We supply the report definition URL and it spits out the representation of the report result (you can see the the machine representation of the report's data). Notice the asynchronous processing here.
8. Then we go back to the original report Salary by Year and State. The report contains a reference to it's result.
9. We will copy and paste the result's URL to the EXPORTER service that returns (again asynchronously) the report result's data in MS Excel format.
If you have the Good Data platform demo account, you can try this script yourself at http://demo.gooddata.com/gdc (hint - you'll need to take a look at the LOGIN service).
In fact the Good Data application consists of a handful types of services. Instances of these services can be dynamically added or removed (via simple HTTP load-balancing) on as needed basis. Add the Amazon EC2 cloud that allows us to add or remove a new machine and only pay for the CPU ticks that we really use. The net result is the great flexibility, scalability and cost efficiency.
The demo video below points at the fundamental architecture differences between our approach and some other on-demand BI vendors who simply deployed an existing BI package (e.g. Pentaho or MS Analytics) on the web (which unfortunately does not prevent their marketing from using the multi-tenant, SaaS mambo jumbo).
This video might help you to better understand the Good Data architecture. I apologize for no audio. Hopefully the simple step-by-step description below helps:
1. The /gdc suffix in the GDC BI platform URL shows the list of the REST API services that the platform provides.
2. Then we navigate to the metadata services that manage metadata for a selected BI project (the FoodMartDemo in our case).
3. We first show the FULL-TEXT SEARCH service. We specify the search term ("sales") directly in the service's URL. The list of matching results is shown.
4. We select one of the reports from the search result to inspect the report's definition. We can spit out the definition in many formats (e.g. JSON, YAML, ATOM, or XML). We use YAML as the default.
5. Then we demonstrate the metadata QUERY service. We list all reports in the FoodMartDemo project. We again inspect one of the reports: Salary by Year and State.
6. Then we are going to demonstrate the using service that shows us all dependencies (metadata objects that the selected report references) of the report. For example the report depends on it's definition (reportDefinition) object. We copy and paste the link of the report definition to the browser URL bar to inspect the report definition object structure. It contains all attributes and metrics that the report displays (all inner objects have their URLs too, so we could continue investigating them).
7. Then we navigate to the XTAB service. The XTAB can execute and cross-tabulate (or pivot if you like) the report's definition. We supply the report definition URL and it spits out the representation of the report result (you can see the the machine representation of the report's data). Notice the asynchronous processing here.
8. Then we go back to the original report Salary by Year and State. The report contains a reference to it's result.
9. We will copy and paste the result's URL to the EXPORTER service that returns (again asynchronously) the report result's data in MS Excel format.
If you have the Good Data platform demo account, you can try this script yourself at http://demo.gooddata.com/gdc (hint - you'll need to take a look at the LOGIN service).
Tuesday, July 29, 2008
The Good Data Public Beta is Out!
Go to or website and sign up. And please remember, that we would love to hear from you via our GetSatisfaction forum. Please let us know what you think and help us to create vital community around our product. Thanks!
Wednesday, March 19, 2008
Just-in-Time vs. Just-in-Case BI Costs
Do you know how much power your BI really needs? More precisely, how much power it needs today at 9 AM, next weekend, and at the last day of the quarter or year? Have you bought the ultra-super-duper machine that handles even the highest usage spikes with ease? Or have you decided to sacrifice performance during these peak hours? Do you wait or waste?
Gooddata approach to this dilemma can be described with two keywords: Stateless & Virtualized.
The Stateless is about our architecture. Our product relies on six generic stateless services. The stateless is important for scalability. We can dynamically add any of the six generic service instances as we need to increase throughput of our BI platform.
Virtualized is how these services are deployed. Virtualization allows us to flexibly add hardware nodes to our computing cloud. We have images of different virtual nodes on hand. We can create a new node and dynamically add it to our computing cloud. The beauty is that this all can happen in just few minutes. And the decommissioning of such node is even faster.
We (and you, as our customer) pay for CPU ticks and storage, so the Stateless & Virtual gives you unmatched cost efficiency. Gooddata offers you access to unlimited computing resources. You can get as much of CPU, storage and network bandwidth as you need. And you pay only for what you are really consuming.
Pay for your BI project on Just-in-Time not on Just-in-Case basis.
Gooddata approach to this dilemma can be described with two keywords: Stateless & Virtualized.
The Stateless is about our architecture. Our product relies on six generic stateless services. The stateless is important for scalability. We can dynamically add any of the six generic service instances as we need to increase throughput of our BI platform.
Virtualized is how these services are deployed. Virtualization allows us to flexibly add hardware nodes to our computing cloud. We have images of different virtual nodes on hand. We can create a new node and dynamically add it to our computing cloud. The beauty is that this all can happen in just few minutes. And the decommissioning of such node is even faster.
We (and you, as our customer) pay for CPU ticks and storage, so the Stateless & Virtual gives you unmatched cost efficiency. Gooddata offers you access to unlimited computing resources. You can get as much of CPU, storage and network bandwidth as you need. And you pay only for what you are really consuming.
Pay for your BI project on Just-in-Time not on Just-in-Case basis.
Friday, March 14, 2008
Gooddata Collaborative Analytics
US dollar exchange rate goes steadily down for more than 5 years. This works for us who buy our gadgets in the US. We use the "Zasilkova Sluzba" service to deliver stuff to our doorstep in Czech Republic.
However, the declining dollar doesn't make us happy as entrepreneurs. It makes all resources that we buy in Europe more expensive. We sell our products for dollars and buy our resources mostly for Czech crowns and getting less and less bang for one dollar. I mean 100% less bang since 2002.
Fortunately we are the "analytics guys" so we can predict the future and actively hedge ourselves against the declining US currency. Our latest research shows that US dollar reaches zero sometimes around 6/18/2012.
Knowing this, we can optimize our financial operations and get the most out of it. Tons of gadgets plus nice access to local resources.
DOES THIS RING SOME BELL? Have you seen such a "great" analysis before? Numbers are right, their interpretation is absurd. That is why we focus on collaborative analytics. Collaboration works great in such cases. You bet that I'm going to see a bull*it tag and some lampoon comments regarding my brainpower a few seconds after I publish such analysis to the Gooddata platform. The product separates wheat from the chaff using collaboration capabilities like tag rating and commenting .
P.S.: Roman, I apologize for stealing your idea with the dollar analysis. I can't resist. At the end this is also a bit about collaboration. You invented and designed it and just I implemented it. :)
However, the declining dollar doesn't make us happy as entrepreneurs. It makes all resources that we buy in Europe more expensive. We sell our products for dollars and buy our resources mostly for Czech crowns and getting less and less bang for one dollar. I mean 100% less bang since 2002.
Fortunately we are the "analytics guys" so we can predict the future and actively hedge ourselves against the declining US currency. Our latest research shows that US dollar reaches zero sometimes around 6/18/2012.
Knowing this, we can optimize our financial operations and get the most out of it. Tons of gadgets plus nice access to local resources.
DOES THIS RING SOME BELL? Have you seen such a "great" analysis before? Numbers are right, their interpretation is absurd. That is why we focus on collaborative analytics. Collaboration works great in such cases. You bet that I'm going to see a bull*it tag and some lampoon comments regarding my brainpower a few seconds after I publish such analysis to the Gooddata platform. The product separates wheat from the chaff using collaboration capabilities like tag rating and commenting .
P.S.: Roman, I apologize for stealing your idea with the dollar analysis. I can't resist. At the end this is also a bit about collaboration. You invented and designed it and just I implemented it. :)
Friday, March 7, 2008
Gooddata Academy Awards
Yesterday, Roman showed me his personal AMEX card management application that allows him to download his creditcard transaction history. I started thinking about personal business intelligence at this very moment. One of our first Gooddata project templates should focus on loading these data and analyzing them upside down. Nice help for people who wants a bit more than just few standard charts that they get from AMEX. This one even beats the website log enrichment and analysis project idea that was my favorite until yesterday.
I bet that there are zillions of similar situations and formats. The question is which one is the best theme for the soon-to-be-released Gooddata tutorial? Do you have some nice idea? Send it my way (zd at gooddata dot com). The Gooddata Academy will evaluate your nomination. The cute, little ipod nano is waiting for the winner.
You should definitely participate! You might hate such contests. However, you certainly don't want me to give yet-another ipod nano, pico, video whatever to Roman for the AMEX idea. ;)
I bet that there are zillions of similar situations and formats. The question is which one is the best theme for the soon-to-be-released Gooddata tutorial? Do you have some nice idea? Send it my way (zd at gooddata dot com). The Gooddata Academy will evaluate your nomination. The cute, little ipod nano is waiting for the winner.
You should definitely participate! You might hate such contests. However, you certainly don't want me to give yet-another ipod nano, pico, video whatever to Roman for the AMEX idea. ;)
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