Wanted to run the following two questions and my answers by the community:
Q. What is the average age of reporting applications at large enterprises?
A. Reporting apps typically involve source data integration, data models, metrics, reports, dashboards, and queries. I'd rate the longevity of these in descending order (data sources being most stable and queries changing
As one of the industry-renowned data visualization experts Edward Tufte once said, "The world is complex, dynamic, multidimensional; the paper is static, flat. How are we to represent the rich visual world of experience and measurement on mere flatland?" Indeed, there's just too much information out there for all categories of knowledge workers to visualize it
Attention, tech shoppers: here's what technology salespeople think you should know before you enter an exhibit hall.
Is Big Data a revolution in information technology? Does the technology truly offer us the ability to do something new, or do we simply need to renovate the technologies we already have?
Can't analyze your data now? We explain why it's worth the time and effort to archive your data anyway.
I get the following question very often. What are the best practices for creating an enterprise reporting policy as to when to use what reporting tool/application? Alas, as with everything else in business intelligence, the answer is not that easy. The old days of developers versus power users versus casual users are gone. The world is way
Solutions offer high-performance analytics for data warehouses.
Information Builders hosted its annual user conference recently in Orlando, Florida. Analyst Cindi Howson looks at the three themes the company emphasized.
Analytical Decision Management solution automatically correlates, analyzes big data so enterprises can embed hyper intelligence into every business decision.
QlikTech says its Expressor acquisition has everything to do with metadata and almost nothing to do with data integration. Industry watchers disagree.