In this special technology white paper, From Small to Big Data, Adopting the Advanced Analytics Mindset, you’ll learn how to help data teams — analysts, scientists, and managers — to collaborate on data projects. One of the key success factors for these teams is to allow analysts to work on Big Data as easily as they do on smaller data with Excel, as well as to help them find new use cases specific to the data available and the tools at hand.
In this special guest feature, Dan Wilmot, Sr. Architect at Pyramid Analytics, explores how to unlock opportunities previously hidden within the depths Fantasy Football data.
Qlik®, a leader in visual analytics, announced that Qlik Sense® Cloud Business, its SaaS-based visual analytics solution is now available for SMBs, groups, and teams to create, manage, and share analytics in the cloud. Powered by the patented QIX Associative Indexing Engine, Qlik Sense Cloud Business provides the scalability and performance of the industry-proven Qlik visual analytics platform in a complete cloud environment.
This is the fifth article in a series focusing on a technology that is rising in importance to enterprise use of big data – IoT Analytics, or the analytical component of the Internet-of-Things. In this segment, we’ll talk about the challenges of deploying IoT analytics.
In this contributed article, Sunu Philip, the Inbound Marketing Head at Cabot Technology Solutions, provides 5 compelling use case examples of IoT analytics and discusses how this technology plays an important role in boosting marketing and sales of businesses.
Podium Data Enables 25x Acceleration in the Delivery of Enterprise Data to Business and Analytic Teams
Podium Data announced Podium 3.0, the latest release of Podium Data’s enterprise data lake management platform with dramatically expanded data preparation and publishing capabilities that enables business users and data analysts to bring new data sources into a secure enterprise lake in less than a week, and build and retrieve custom data sets in an hour.
In this whitepaper, you’ll learn how advanced analytics has the potential to transform the ways in which segmentation for marketing purposes is accomplished. It starts with a look at traditional segmentation methods and then moves on to exploring how advanced analytics (model-based segmentation) can change the game. Then you’ll explore a few marketing & analytics use cases in various industries. Lastly, you’ll examine the methodologies needed to implement model based segmentation in the real world.
This is the fourth article in a series focusing on a technology that is rising in importance to enterprise use of big data – IoT Analytics, or the analytical component of the Internet-of-Things. In this segment, we’ll provide a discussion of IoT analytics value drivers and return-on-investment (RIO) for the enterprise.
Provalis Research announced the release of an upgraded version of the qualitative analysis freeware QDA Miner Lite, developed to include some of the new features added to the full version of QDA Miner.
Arcadia Data, the visual analytics software that solves the most complex big data problems, announced new native integration features for Arcadia Enterprise and Cloudera Enterprise to deliver a comprehensive real-time, Hadoop-native analytics platform. Directly integrated with Cloudera Manager and with new support for Apache Kudu and Cloudera Search, users will now have access to data-native architecture that enables both real-time dashboards and rich data visualization for large-scale, big data uses cases such as IoT data, spanning cloud, on-premises, and hybrid deployments.