In today’s world of data tsunami, it is insufficient to just collect data from a bunch of sources and react to it sporadically. You need a robust, secure, and reliable analytics solution that lets you capture and consolidate all the elements of risk from all sources and convert them to… Read More →
A very important aspect of data discovery and making data-driven decisions is collaboration and communication. Typical data discovery process starts with trying to find meaningful information through visual data exploration. The importance of visualization is paramount because often times one can discover hidden trends and anomalies faster and easier using… Read More →
This has been a very exciting week for us at TIBCO. On Monday, March 14, we launched Spotfire 7.5, and updated Spotfire Cloud. In this post, we will cover the incredible enhancements and additions that have been made to Spotfire.
Big data and analytics continue to generate lots of interest among senior executives who see the potential to use data-driven insights to transform the way they do business and gain a competitive edge. Over the past year, the number of organizations that have deployed data-driven projects has jumped by 125%,… Read More →
Chief data officers (CDOs) are necessary to help companies solve challenges when it comes to implementing effective Big Data strategies, according to a new report from Capgemini Consulting. However, even though financial services firms understand that they need to better manage their data to meet increasing regulatory requirements as well… Read More →
The past 12 months have been a wild ride in the world of Business Intelligence and Big Data, full of acquisitions (including Jaspersoft’s addition to the TIBCO Software family) and innovations. Since forming TIBCO Analytics, we’ve entered an extraordinarily important time for the business and all those customers who’ve placed… Read More →
Apache Hadoop was built for processing complex computations on Big Data stores (that is, terabytes to petabytes) with a MapReduce distributed computation model that runs easily on cheap commodity hardware. Hadoop solved several use cases, which were either way too slow or even impossible to realize with other tools.
We all aspire to achieve “insights at the speed-of-thought” in our everyday interactions with data. Given the ever-compounding volume, velocity, complexity, and variety of data generated today, the need to explore data with speed is becoming imperative so users can transform their data challenges into growth opportunities and gain insights… Read More →
Companies are hungry for analytics talent. According to a recent IDC study, there will be more than 900,000 open positions in the U.S. by 2018 for professionals with data management and interpretation skills. But as the IDC report points out, companies can’t solely rely on data scientists to meet organizational decision… Read More →
For all the opportunities that conventional big data provides to organizations around the globe, there is still a vast amount of unstructured human-generated data that has remained largely unexplored. Nearly 80% of the information captured by organizations today is comprised of all types and sizes of human-generated unstructured content, according… Read More →