In 2017 Strata + Hadoop World was changed to the Strata Data Conference. As I pointed out in my coverage of last year’s event, the focus was largely on machine learning and artificial intelligence (AI). That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data. The change was subtle: The location was the same; the exhibitors were largely the same; attendance was similar this year and last. But there was no particular vendor or technology dominating the event.
Topics: Analytics, Business Intelligence, data science, Big Data, Data Integration, Data Governance, Data Preparation, Information Optimization, Machine Learning, digital technology, Machine Learning and Cognitive Computing
All too often, software vendors view analytics as the end rather than the beginning of a process. I’m reminded of some of the advanced math classes I’ve taken in which the teaching process focused on a few key aspects of a mathematical proof or solution, leaving the rest of the exercise to be worked out by the students. In other contexts, you may hear people say the numbers speak for themselves.
I recently attended the MicroStrategy World conference, which was held in Washington, D.C. and it celebrate its 20th anniversary, which is why MicroStrategy hosted the event near its headquarters. Over the past 20 years, the market and technology for business intelligence and analytics have significantly changed, and in several changes, MicroStrategy has been at the forefront. Now is a good time to examine the company’s position in the market and its latest offerings in context of the analytics market direction that I recently presented.
The Internet of Things (IoT) is a technology that extends digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This advance enables virtually any device to transmit its data, to which analytics can then be applied to facilitate monitoring and a range of operational functions. IoT can deliver value in several ways. It can provide organizations with more complete data about their operations, which helps them improve efficiencies and so reduce costs. It also can deliver a competitive advantage by enabling them to reduce the elapsed time between an event occurring and operational responses, actions taken or decisions made in response to it.
IBM recently held its inaugural World of Watson event. Formerly known as IBM Insight, and prior to that IBM Information on Demand, the annual event, attended by 17,000 people this year, showcases IBM’s data and analytics and the broader IBM efforts in cognitive computing. The theme for the event, as you might guess, was the Watson family of cognitive computing products. I, for one, was glad to spend more time getting to know the Watson product line, and I’d like to share some of my observations from the event.
QlikTech recently introduced QlikView 11, the latest version of its business intelligence (BI) software, which emphasizes new collaboration features as well as enhancements to its user interface. In an about-face, though, in its approach to mobile access, the company has moved away from its native iPad application to a browser-based app using HTML5 technology.
Topics: Business Analytics, Business Intelligence, Business Performance, Collaboration, Customer & Contact Center, Financial Performance, Mobile, QlikView, Sales Performance, Social Media, Supply Chain Performance, Workforce Performance, digital technology
Topics: Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Data Warehousing, Financial Performance, Predictive Analytics, Sales Performance, Supply Chain Performance, Teradata, Workforce Performance, digital technology, Big Data
Oracle made several announcements at its recent Open World event demonstrating its strengths in the business computing market but also that it is standing on the shoulders of giants. The company has developed the expertise, processes and market share to scale out the ideas and innovations of others. Don’t get me wrong: That statement is not an indictment. Large organizations often have challenges with innovation. They are not as nimble as their smaller competitors. On the other hand, small organizations often have challenges scaling out their successes. In an earlier post I characterized the software market as a sort of ecosystem, and this is how it works. Large organizations often look to imitate or acquire smaller firms for their innovations.
Topics: Big Data, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, NoSQL, Oracle, Sales Performance, Social Media, Supply Chain Performance, Workforce Performance, Strata+Hadoop, digital technology, Cloud Computing
Oracle kicked off its Open World 2011 conference with the announcement ofExalytics, a new data warehouse appliance specifically for business intelligence (BI). Three years ago when Oracle introduced the Exadata product line it was based on hardware from Hewlett-Packard. Since then it has acquired Sun Microsystems and replaced the HP components in Exadata, assuming complete control over the hardware and software included in the appliance. Oracle also introduced two other appliance products: Exalogic, which is focused on Oracle Applications, and more recently the Oracle Database Machine. Oracle’s new tag line, “Hardware and software, engineered to work together,” indicates its emphasis on these appliances and the potential for more, perhaps even some to be announced at Open World.
Topics: Business Analytics, Business Intelligence, Business Performance, Exalytics, Financial Performance, Oracle, Sales Performance, Supply Chain Performance, Visualization, Workforce Performance, digital technology