Analyst Perspectives

It’s clear that now we are living in the era of big data. The stores of data on which modern businesses rely are already vast and increasing at an unprecedented pace. Organizations are capturing data at deeper levels of detail and keeping more history than they ever have before. Managing all of the data is thus emerging as one of the key challenges of the new decade.

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.

SAP has reached a critical milestone in launching version 4 of its business intelligence (BI) and enterprise information management (EIM) product suite from its SAP BusinessObjects portfolio. These offerings, currently in final beta testing, will be released as a collection of software products by midyear.

The technology analyst industry has ended its barrage of exuberant predictions for the new year. After digesting all of these commentaries (some were a challenge, I admit), we need to stop our predicting and instead start a discussion about what all of us ought to be doing. From my perspective, that should be an annual statement of direction, what we here call the research agenda. I have decided it is time to remind all of us what this important activity is and why it is really important to see...

The new year has brought a revolution in business technologies that allows enterprises to roll out new applications, processes and services in record time. What used to take a business six months to a year to develop and deploy – and not too long ago that was considered fast! – can now be done in a week or two, making enterprise application and business intelligence deployments of the recent past seem more like ancient history.

Kognitio announced the addition of MultiDimensional eXpressions (MDX) capabilities for its WX2 product line. John Thompson, CEO of U.S. operations, and Sean Jackson, VP of marketing, shared some of the details with me recently. I find the marriage of MDX and large-scale data both technically challenging and potentially valuable to the market.

Last week I attended MicroStrategy World 2011 in Las Vegas, the North American version of the business intelligence (BI) vendor’s annual user conference. The event was well attended, and the company claimed attendance was up 40% over last year. The purpose of the post is to recap the announcements made, highlight the areas where MicroStrategy is making investments and comment on the overall direction implied by these investments.

Open source business intelligence (BI) software vendor Jaspersoft recently announced general availability of its flagship product Jaspersoft 4 and earlier this week announced a new reporting project that provides data connectors to a variety of large-scale data sources.

This is the first in a series of posts on the architectures of analytic databases. This is relational database technology that has been “supercharged” in some way to handle large amounts of data such as typical data warehouse workloads. The series will examine massively parallel processing (MPP), columnar databases, appliances and in-database analytics. Our purpose is to help those evaluating analytic database technologies understand some of the alternative approaches so they can differentiate...

Social media, the newest channel of communication across the Internet, is increasingly being used to influence, but also to deliver advice and research. I wrote about this revolution last year (See: “The Social Media Revolution in Industry Analyst Community”), reporting on the transformation that is underway and the work of our firm along with Altimeter Group and dozens of other active industry analysts. While some industry analysts are aggressively engaged in social media, using Twitter and...