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, Customer & Contact Center, Financial Performance, Workforce Performance
In preparation for conducting a benchmark research study on predictive analytics, I’ve been speaking with vendors in this market segment to gather background. One of them is Opera Solutions, which I was not familiar with despite having worked in predictive analytics for more than 10 years. I was surprised to learn the company claims to be generating $100 million in revenue annually. Founded in 2004, Opera provides predictive analytics as a service, employing a staff of approximately 150 data scientists along with hundreds of other employees. It claims this is the largest private group of scientists outside IBM. (I’ve written previously about IBM’s significant efforts in the predictive analytics market.)
Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Workforce Performance
I recently attended Teradata’s Third-Party Influencers Meeting (Twitter Hashtag #TD3PI) in Las Vegas where the company updated industry analysts and consultants on upcoming product plans and the status of two product lines it added via acquisition in the past year. Randy Lea, Teradata’s VP of product management and marketing, provided a company overview recapping highlights and defining the corporate strategy building on its work in 2010 that my colleague assessed. Teradata focuses on three markets: its core business of data warehousing, which it identified as a $27 billion market, the $15 billion business applications market represented by its Aprimo acquisition, and the big-data analytics market, a $2 billion market addressed in part by its Aster Data acquisition. I mention Teradata’s estimates of market size as they may indicate the emphasis and investment the company will make in each segment. Lea referred to Teradata’s independence from NCR, for almost four years, as a good thing. Independence, he said, has allowed Teradata to focus, to release products more frequently and to acquire companies that enhance their market position. Judging by the performance of its stock (NYSE: TDC), the financial markets seem to agree independence has been good – even with the recent market downturn its stock is up 75% in the last year.
Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Workforce Performance