Introduction Launching an embedded analytics project can be a difficult task for software development managers and product owners alike. Add onto that the urgency to quickly evaluate test and implement a 3rd party solution that’s becoming more the norm in agile development environments and you can easily see how proper planning can be overlooked.
In our recent eBook, Technology Performance in Context, we take a look at how high performance analytics can transform business processes and results.
Our recent partnership with CData enhances JReport’s connectivity to Salesforce.com (along with many other data sources) enabling live data access from dashboards and reports. The Data JDBC driver allows JReport to query data using SQL. This article details the process for connecting JReport to Salesforce.com as a JDBC data source to start creating dashboards and reports.
Embedded BI in a nutshell… Embedded BI (Business Intelligence) aims to provide a seamless integration of analytical capabilities directly into your applications. Many users realize the commercial applications they use to access data that can be used for insightful decision-making.
In our latest article with InsideBigData, Dean Yao, Director of Marketing at Jinfonet, discusses the top considerations for embedding analytics in your commercial offerings. Dean takes another angle in this article mainly focusing on the front end functionality of embedded analytics solutions, and guiding product owners through the best feature sets to look for.
In 2007 goal setting malpractices blindsided many financial institutions into achieving short term productivity goals that led to the Great Recession in the United States. This event is now known as the subprime mortgage crisis. Specifically, many banks entered the mortgage bond market and set highly speculative goals to sell adjustable-rate mortgages.
JReport made a strong presence at DevIgnition 2016, a conference for developers in Dulles, VA to discuss emerging technologies. Dean Yao, Director of Marketing at Jinfonet, delivered a presentation on developing analytics in your applications. Dean discusses the many options for embedding analytics into applications while outlining the pros and cons for selecting each approach.
Developers creating a new application realize early on that the application will not be very useful unless its users can see detailed or summarized data in order to facilitate better insights and decision-making from the data.
Data is everywhere. Transactional data, big data, cloud data, decentralized data, governed data – you name it. With the ever-growing demand to analyze data, chances are your product or application needs to present this data for interactivity and decision-making.
Sourcing, tracking, and hiring job candidates demand a lot of time and energy. From registration to job placement, a recruitment management company works hard to keep track of candidates.