Big Analytics Redefines Enterprise Decision Making

By Joe McKendrick

Oleg Komissarov, Senior VP at DataArt New York, and Alexey Utkin, financial services practice leader at DataArt London, offer their opinion on evolving Business Intelligence tools, specifically mobile and Cloud BI, and their impact on analytics in general.

“The field of business intelligence and analytics keeps evolving, and keeps booming in new ways. Never before has there been so expansive a choice of solutions, and so many ways to gain insights into customers, sales, markets, and processes.
The challenge is packaging the information being generated from all corners of the enterprise and beyond as rapidly as possible into formats and presentations that can guide decision makers at multiple levels. The challenge in today’s BI and analytics initiatives is delivering real-time data in self-service mode to anyone who needs it.
Mobile BI may be a powerful tool that will also help bring about ubiquitous access. The mobile experience is replacing the browser or desktop experience.
However, some observers still feel that mobile BI is still in its very early stages. “Mobile BI apps are taking over desktops mostly for end users and consumers who need basic levels of BI functionality with very simple, yet powerful user interfaces,” said Oleg Komissarov, senior VP at DataArt. “For advanced, corporate business users and analysts, desktop BI tools still prevail though.” For instance, desktop Excel for such users remains king in providing well-known and comprehensive analytical functionality.
As processing demands grow, along with increased numbers of users, many enterprises may seek to put more BI and analytics capabilities into the cloud.
Cloud BI is likely to only keep gaining converts as well. “If your traditional cloud-based system can one day make BI functionality available for you without the need of setting it up yourself, that’s obviously good news,” said Alexey Utkin, financial services practice leader at DataArt. “Moreover, certain cloud systems may seamlessly integrate with one another, thus enabling the linking of your data for BI.”

View original article or download PDF