Qlik was an early pioneer in developing a substantial market for a visual discovery tool that enables end users to easily access and manipulate analytics and data. Its QlikView application uses an associative experience that takes an in-memory, correlation-based approach to present a simpler design and user experience for analytics than previous tools. Driven by sales of QlikView, the company’s revenue has grown to more than $.5 billion, and originating in Sweden it has a global presence.
Topics: Big Data, Data Visualization, QlikView, Sales Performance, Supply Chain Performance, Tableau, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Data discovery, visual discovery, Lumira, Qlik, Qlik Qlik Sense
Tableau Software introduced its latest advancements in analytics and business intelligence software along with its future plan to more than 5,000 attendees at its annual user conference in its home town of Seattle. The enthusiasm of the primarily millennial-age crowd reflected not only the success of the young company but also its aspirations. The market for what Ventana Research calls visual and data discovery and Tableau have experienced rapid growth that is likely to continue.
Topics: Big Data, Data Visualization, Sales Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Operational Intelligence, Data discovery, Tableau Software, visual discovery
It has become evident from the advancements we’ve seen in the business analytics market that the use of visualization is now becoming mainstream. In my analysis of the market last year I wrote about the pathetic state of dashboards, where the assumption in the business intelligence software industry is that placing four to six charts or tables of data in a screen and publishing to business users can create business intelligence. That assumption has yet to be proven and is completely irrational, as presenting analytics in basic charts does little to provide context and a guide for taking actions and making decisions.
Topics: Analysts, IT Performance, Business Analytics, Business Intelligence, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Visualization, visual analytics, visual discovery
A few months ago, I wrote an article on the four pillars of big data analytics. One of those pillars is what is called discovery analytics or where visual analytics and data discovery combine together to meet the business and analyst needs. My colleague Mark Smith subsequently clarified the four types of discovery analytics: visual discovery, data discovery, information discovery and event discovery. Now I want to follow up with a discussion of three trends that our research has uncovered in this space. (To reference how I’m using these four discovery terms, please refer to Mark’s post.)
Topics: Datameer, SAP, Splunk, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, IBM, Information Applications, Information Builders, Operational Intelligence, Oracle, Data discovery, Information Discovery, visual discovery, Birt analytics, lucidworks
Actuate recently announced BIRT Analytics Version 4.2, part of its portfolio of business intelligence software. The new release includes several techniques used by analytics professionals placed behind a user-friendly interface that does not require advanced knowledge of statistics. Beyond the techniques themselves, release 4.2 focuses on guiding users through processes such as campaign analytics and targeting.