Search

Find the latest technical white papers, webcasts, and product information to help you make intelligent IT product purchasing decisions.

Refine your search by:
Document Type:

Lyzasoft

  • Source:
Founded in 2008, Lyzasoft is a spin-off of a business intelligence (BI) consulting practice. Chartered to create desktop and workgroup software for analytics, the company leveraged its BI and data processing roots. The Lyza product suite has been designed by analysts and for analysts.
  • Written By:
  • Published On:

Lyza

Lyza desktop software can help analysts synthesize, explore, and visualize data—and publish reports—all without the reliance on lengthy IT development cycles. With a visual drag-and-drop interface, spreadsheet-like formulas, and interactive charting and statistics, Lyza is designed to keep users in touch with the data as they observe relationships, refine their assumptions, and solve problems iteratively. The software has been architected to take advantage of the available parallelism within multicore desktop computers, and Lyzasoft’s step-by-step analytic approach lends itself to a multithreaded execution strategy. Lyza Commons provides an environment for sharing and monitoring data for Lyza desktop analytics. It is designed to provide derivational insight for analysts, while also providing transparency and manageability of information flows for business and IT.     
  • Written By:
  • Published On:

BI Analysis in a Nutshell: Lyzasoft

  • Source:
In my previous post, Give BI to the Masses, I wrote about the strategies that have been implemented in some companies to empower more and more users to use business intelligence (BI) tools as part of their regular daily tasks. This extends not only to decision makers and to those in charge of knowledge management,  but also to company-wide use. This has the potential to generate very different

Collaborative Analytics: Sharing and Harvesting Analytic Insights Across the Business

Sadly, a division exists between business analysts and IT—they often perform separate data-related duties. There are benefits for companies that unite business analytics with business intelligence. But the adaptive information cycle—a model linking the center-out approach of traditional data warehousing to the emergent prototyping typifying today’s analytic environment—is not as complex as it may sound. Learn more.
  • Written By:
  • Published On:

Data Discovery Applications

  • Source:
Over the last five years, the business intelligence (BI) space has undergone a huge transformation. The business user community has lobbied for data analysis tools that are easier to use, agile to deploy, and less expensive, thus encouraging the emergence of new products and vendors. These conditions, along with the acquisitions and mergers of software companies looking to offer new applications