Tuesday, 7 April 2020

Why Horizontal Integration Is Important In Data Analytics

Horizontal integration was initially a term used in the realm of business. According to Investopedia, it refers to a merger between multiple companies that offer the same level on the value chain, a measure of where in the scheme of production a particular business exists. Horizontal integration has found its way into the realm of data analytics and stands at the cutting edge of data analytics strategies that want to encapsulate all the data that they can gather together. For analytics, knowing all of the known values is the aim because with that data we can produce more precise results within that data set.A Case Study in Horizontal IntegrationThe United States army is currently the largest army in the world, based on reports by Military.com . Where better to test the return on investment in horizontal integration than in a field where up-to-date data can mean the difference between life and death? In recent years, the US military has invested heavily in horizontal integration of its IT systems. By combining multiple intelligence sources such as on-the-ground human covert-ops intelligence with things like remote sensing data via image intelligence and signals intelligence through the interception of radio communications, the military has ...


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