Some 3,000 people attended Domo’s recent customer event, called Domopalooza. That’s nearly double the attendance of the previous event, which my colleague Mark Smith covered. Formerly a bit “stealthy,” Domo has started sharing more information, some of which I’ll pass along, as well as observations about product announcements made at the event.
Topics: data science, Mobile, Mobile Technology, cloud computing, Business Intelligence, Collaboration, analytics, Machine Learning and Cognitive Computing, Machine Learning Digital Technology, Collaboration for Business
Big data initially was characterized in terms of “the three V’s,” volume, velocity and variety. Nearly five years ago I wrote about the three V’s as a way to explain why new and different technologies were needed to deal with big data. Since then the industry has tackled many of the technical challenges associated with the three V’s. In 2017 I propose that we focus instead on a different letter, which includes these A’s: analytics, awareness, anticipation and action. I’ll explain why each is important at this stage of big data evolution.
Ventana Research analysts recently published our research agendas for 2017. As we put together these plans we think about the forces that are shaping the markets that we cover and then craft agendas that study these issues to provide insights for our community. I’ve been working in the business intelligence (BI) and analytics market for nearly 25 years, and throughout that time the industry has been trying to make analytics useful to increasingly wider audiences. That focus continues to today. Better search and presentation methods, including visual discovery and natural-language processing, are promising ways to engage more users. We also see organizations supporting their users in specific functional roles with relevant and accessible analytics. My colleagues examine these issues as part of their agendas in the Office of Finance, Sales, Marketing, Customer Experience, Operations and Supply Chain, and Human Capital Management. While their agendas include analytics within specific domains, my own research focuses on a range of analytics issues across domains including cloud computing, mobility, collaboration, data science and the Internet of Things.
The business intelligence market is bounded on one side by big data and on the other side by data preparation. That is, to maximize their performance in using information, organizations have to collect and analyze ever increasing volumes of data while the tools available are constantly evolving in the big data ecosystem that I have written about. In our benchmark research on big data analytics, half (51%) of organizations said they want to access big data using their existing BI tools. At the same time, as I have noted, end users are demanding self-service access to data preparation capabilities to facilitate their analyses.
Tibco recently introduced Spotfire 4.0, the most recent version of its interactive discovery and business intelligence (BI) tool. Spotfire comes at BI through visualization. It uses in-memory processing and good user interface design to develop highly interactive displays of data. Version 4.0 attempts to enhance Spotfire’s dashboard capabilities and offers integration with enterprise collaboration tools. The former capabilities are necessary to broaden Spotfire’s appeal and applicability for more BI projects, but the latter capabilities are more interesting since they represent a fundamental shift in the way enterprises use business intelligence.
Topics: Sales Performance, Social Media, Spotfire, Supply Chain Performance, tibbr, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Chatter, Collaboration, Collaborative BI, Customer & Contact Center, Dashboards, Financial Performance, Tibco, Twitter, Workforce Performance
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: Mobile, QlikView, Sales Performance, Social Media, Supply Chain Performance, Apple, Business Analytics, Business Intelligence, Business Performance, Collaboration, Customer & Contact Center, Financial Performance, Workforce Performance
We cite collaboration as one of five key technology influences on the business intelligence (BI) market, and I get many questions about collaboration and BI from end users and vendors alike. The rise of social media websites such as Facebook and Twitter has raised awareness of collaborative platforms and created a critical mass of participants, which is a necessary ingredient for successful collaboration. However, I have to point out that consumer-oriented social media tools do not provide all the necessary components for collaborative BI.
Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Business Analytics, Business Intelligence, Business Mobility, Business Performance, Collaboration, Collaborative BI, Customer & Contact Center, Financial Performance, Workforce Performance
The business intelligence (BI) technology market is undergoing a revolution. I’ve been working in this segment for 20 years, and it is and has been an exciting market in which to work, but its dynamic nature can be daunting to organizations trying to evaluate, purchase and deploy BI to improve their business processes. And despite the advances our benchmark research shows high levels of dissatisfaction with and immaturity in BI capabilities within organizations.
Topics: Sales Performance, Social Media, Supply Chain Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Business Technology, Chief Information Officer, Cloud Computing, Collaboration, Customer & Contact Center, Enterprise Software, Financial Performance, Information Technology, IT Performance Management, Mobility, Operational Intelligence
I recently attended SAS Institute’s annual analyst conference. My colleague covered the multibillion-dollar company’s strategy and the event. Now I want to look into some of the details of SAS’s products for business analytics and how they are supported with business intelligence (BI), and information management. Although SAS is not a publicly traded company and therefore is not required to make the financial disclosures that others are, the company revealed numerous financial statistics. Business intelligence represents over $200 million in license revenue to SAS. That’s a significant figure, larger than publicly traded BI vendors QlikTech (NASDAQ: QLIK) and Actuate (NASDAQ: BIRT) have and smaller than but still in the same order of magnitude as MicroStrategy (NASDAQ: MSTR) and Information Builders. These figures are consistent with results in our benchmark research on business intelligence and performance management: 18% of our research respondents reported using SAS products, which places it in the middle of the pack.
Topics: SAS, Social Media, Analytics, Business Intelligence, Business Performance, Business Technology, Chief Information Officer, Collaboration, Enterprise Software, Information Management, Information Technology, IT Performance Management, Mobility, Operational Intelligence
Last week SAP launched the 4.0 Release of its Business Intelligence and Enterprise Information Management products in conjunction with the New York City stop on its “SAP Run Better Tour”. My colleague Mark Smith has already covered the announcement in the context of some of today’s major technology trends. In this post, I’ll focus on the specifics of the product announcements.
Topics: SAP, Social Media, Analytics, Business Intelligence, Business Technology, Chief Information Officer, Collaboration, Enterprise Software, Information Management, Information Technology, Mobility, Operational Intelligence