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Business Intelligence for Fairs, Congresses and Exhibitions

Smart Data Collective

While different companies, regardless of their size, have different operational processes, they share a common need for actionable insight to drive success in their business. Advancement in big data technology has made the world of business even more competitive. This eliminates guesswork when coming up with business strategies.

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How BI Can Help Enterprises Overcome The Effects Of The Pandemic

Smart Data Collective

One of the main reasons for such a disruption may be the obsolescence of many traditional data management models; that’s why they have failed to predict the crisis and its consequences. In this article, we’ll take a closer look at why companies should seek new approaches to data analytics.

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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

We covered the benefits of using machine learning and other big data tools in translations in the past. However, big data often encapsulates using constantly growing data sets to determine business intelligence objectives, such as when to expand into a new market, which product might perform overseas, and which regions to expand into.

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Data Driven Companies Must Understand Differences Between Fact Tables & Dimension Tables

Smart Data Collective

In the world of data stacking, which is the theory of data organizing, there are two concepts that center around it: Fact table vs dimension table. This is the topic of harnessing data in a manner that is accessible, and tangible has been posited by many. He explains that “not every business gets value out of their data.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Building the right data model is an important part of your data strategy.

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5 Step Process For Insightful Data Driven Business Decision Making

Smart Data Collective

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately.

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