Whois & Analysis for bigdacademy.com

Bi-amping and tri-amping is the practice of using two or three audio amplifiers to amplify different audio frequency ranges, with the amplified signals being routed to different speaker drivers, such as woofers, subwoofers and tweeters.

Biamping can be done with a single power amplifier if the device has more than one amplifier, as the case with a stereo power amp.

Triamping cannot be done with a stereo power amp; a mono power amp would need to be added or a home theatre receiver (often 5 or more amplifiers) could be used.

With bi-amping and tri-amping, an audio crossover is used to divide a sound signal into different frequency ranges, each of which is then separately amplified and routed to separate loudspeaker drivers.

In some bass amplifiers using bi-amping, the woofer and horn-loaded tweeter are in the same speaker enclosure.

In some bi-amp set-ups, the drivers are in separate speaker enclosures, such as with hone stereos that contain two speakers and a separate subwoofer.

Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information.

BI technologies provide historical, current and predictive views of business operations.

Common functions of business intelligence technologies include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.

BI technologies can handle large amounts of structured and sometimes unstructured data to help identify, develop and otherwise create new strategic business opportunities.

They aim to allow for the easy interpretation of these big data.

Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.

Data visualization is viewed by many disciplines as a modern equivalent of visual communication.

It involves the creation and study of the visual representation of data.

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, while being used in different business, science, and social science domains.