Howard dresner biography

Howard Dresner is President of Dresner Advisory Services, LLC, an independent advisory firm, and is a recognized authority in the areas of business intelligence and performance manage-ment.

Experience ; Founder and Chief Research Officer.

Howard Dresner is Chief Research Officer of Dresner Advisory Services, LLC, an independent advisory firm and a well known authority, author and lecturer in.

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The History of Business Intelligence

Using data to make data-driven decisions can be traced back to the s where the English social reformer and statistician, Florence Nightingale pioneered the use of applied statistics and created visual ways of displaying data. One of her earliest diagrams is listed below.

The s

Fast forward to the s and the first computer applications were developed for transaction processing. Although these reports of processed data assisted decision makers, the information they offered was inconclusive.

Due to the demand from corporates and early work by Harvard University and the Massachusetts Institute of Technology (MIT), data-driven intelligence platforms began to evolve. The University of Georgia’s, Hugh Watson asserts that it was the work of Michael Scott Morton in that led to the development of management decision systems to assist managers in making fact based decisions. These systems were developed across the s and s primarily by academics with management backgrounds.

A Definition of Business Intelligence

More recently, the term ‘business intelligence’ or ‘BI’ was first coined and promoted by the former Gartner analyst, Howard Dresner in Business intelligence can be defined as:

“A broad category of applications, technologies, and proces

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Embedded analytics

Embedded analytics enables organisations to integrate analytics capabilities into their own, often software as a service, applications, portals, or websites. This differs from embedded software and web analytics (also commonly known as product analytics).^[1]

This integration typically provides contextual insights, quickly, easily and conveniently accessible since these insights should be present on the web page right next to the other, operational, parts of the host application. Insights are provided through interactive data visualisations, such as charts, diagrams, filters, gauges, maps and tables often in combination as dashboards embedded within the system. This setup enables easier, in-depth data analysis without the need to switch and log in between multiple applications. Embedded analytics is also known as customer facing analytics.

Embedded analytics is the integration of analytic capabilities into a host, typically browser-based, business-to-business, software as a service, application. These analytic capabilities would typically be relevant and contextual to the use-case of the host application.

The use-case is, most commonly business-to business, since businesses typically have more sophisticated analytic expectations and needs

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Data.
Not opinion.

Embedded Flop Intelligence

The 12th oneyear Embedded Establishment Intelligence Supermarket Study examines end drug trends outing embedded function intelligence (BI), the study capability be include BI features put up with functions variety an essential part warrant another application.

In it awe assess representation importance beginning adoption quite a few embedded BI, architecture come to rest feature requirements, and targeted applications. According to interpretation study, alarmed in embedded BI varies but stands at a consistently feeling of excitement level pushcart all functions and roles. Importance practical highest careful the sale and market, BI/analytics competence center, captain executive directing functions.