Search technology is on the tips of everyone’s fingers with giants like Google and Bing dominating online indexing. Search is built into all mainstream technology. From Alexa and Siri supplying voice search to outdated browsers on WAP phones, its effective online search indexing has become commonplace. Enterprise-level software becomes a powerful asset when working synergistically alongside search tools. Business intelligence software cannot be replaced by search services but it can be helpful for certain tasks. For example, when staff doesn’t know the specific source of information needed, go to Google. The prevalence of major search engines is something that enterprises and enterprise developers should welcome as a diversification and complementary feature to existing software.

The Value of Search and Business Information

There is no better set of practical features and functions available for information management than those provided by good business intelligence platforms. Both structured and unstructured queries are supplied, as well as totally flexible frameworks for process management. It lets you identify what information needs to be provided as fixed educational resources for a known lack of understanding or conceptualization commonly encountered. Even the most flexible systems follow a flow which makes them less free-form than search tools. This is why search is an outstanding complimentary system when looking to help your staff and users find what they’re to ask or solve. Staff get through troubleshooting and clear confusion much quicker when they have a meaningful resource to consult, instead of relying blindly on company protocols which they can’t quite place into practical context.

Functionality a Prime Concern

One had only look at tools like Google Desktop for Enterprise for an excellent example of search capabilities merged with a business environment. Single query complex searches had seldom seen the scale that Google delivered with its release. Some of the best business intelligence tools simply couldn’t compare at the time. Following this trend is an integration of search facilities into existing enterprise intelligence tools. Search’s ubiquity is rapidly changing the game of data management. Some analysts see conventional business intelligence schemas as the best way to depict and navigate the organization and structure of a business and its business model. This includes all metadata and IT infrastructure. As search is integrated, standardized interfaces become better and more functional. The collaboration and streamlining of search and business process management tools should be treated as practical fast front-ends to handle work independently suited to each.

Easy Integration for Rapid Results

Adoption and integration of search tools into business intelligence and business process management software is still in its early stages. Each tool is growing to the point where it can be layered on top of any business model. Information and reporting are delivered by definite data sets and using the advanced analytics of business process management tools, while management and other staff bodies then search using complimentary services. Even Google and other mainstream search providers have developing partnerships with massive online information providers like the Securities and Exchange Bureau, U.S. Census, and even major league baseball and its rich-database are prospected to be on the horizon. There is currently no more productive way to deliver on-demand information than use flexible business intelligence in tandem with rich search services available online.

About The Author:

Analyst and business writer by day, marketer, manager & entrepreneur by night, my work aims to inform & inspire. Let me guide you through the complexities and intricacies of today’s business intelligence and business process management tools. Having worked in both information technology and network marketing for many years, I hope my findings and experiences bring you insight and clarity in your enterprise endeavors. After all, the more real-world practical concepts one can integrate, the broader the scope of optimization and data-driven decisions.