Tomorrow is the Cloud Analytics Summit at the Computer History Museum in Mountain View.  The theme is Capitalizing on BI & Big Data in the Cloud.  As we all know, this has been a hot topic in the news and in the office.  Having a data centric market research background myself, I am personally very interested to hear the real world examples, problems, and solutions for Business Intelligence and Big Data implementations.  The use of social and behavioral data is changing the way we define and measure ROI, and everyone gets excited about the bottom line.  Join DreamSimplicity at the Cloud Analytics Summit tomorrow to learn more about why and how people are investing in Business Intelligence and Big Data.

KISSmetrics helps SaaS companies boost user acquisition and retention rates by providing a detailed overview of how customers are using a website or application.

On September 30th Gartner released a report on the current landscape of BI vendors. Gartner analysts James Richardson and Neil Chandler were assigned to position the main actors offering Interactive Visualization Solutions for Data Analysis and Creation of Dashboards. Bime is recognized among the main actors in the world.

The term 'Big Data' has become almost ubiquitous in discussions surrounding the future of data visualization and  business intelligence. Although it is used in a range of different situations, the expression has become an umbrella term to explain the steep increase in the amount, and the variety of data now produced. Whilst many recent statistics simply cover the amount of data produced, The University Of Texas recently conducted a study sponsored by Sybase to examine the the possible benefit to companies if this data could be utilized.

Human Resources (HR) departments globally have masses of data and Business Intelligence (BI) could potentially be the missing link to turn those swarms of data into valuable information that can be used to inform decisions at all levels within a company. HR already manages large quantities of employee data; employee profiles, appraisals, compensation, benefits; why not translate this data to use for future candidate screening, cost containment or improving productivity? Implementing BI at various levels of HR throughout the organization would allow a company to utilize this data and truly analyze where the human capital value of an organization lies.