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This content is part of the Essential Guide: How to choose manufacturing software for business intelligence
Definition

business analytics (BA)

Contributor(s): Ed Burns

Business analytics (BA) is the iterative, methodical exploration of an organization's data, with an emphasis on statistical analysis. Business analytics is used by companies that are committed to making data-driven decisions. Data-driven companies treat their data as a corporate asset and actively look for ways to turn it into a competitive advantage. Successful business analytics depends on data quality, skilled analysts who understand the technologies and the business, and an organizational commitment to using data to gain insights that inform business decisions.

Specific types of business analytics include:

  • Descriptive analytics, which tracks key performance indicators (KPIs) to understand the present state of a business;
  • Predictive analytics, which analyzes trend data to assess the likelihood of future outcomes; and
  • Prescriptive analytics, which uses past performance to generate recommendations about how to handle similar situations in the future.

How business analytics works

Once the business goal of the analysis is determined, an analysis methodology is selected and data is acquired to support the analysis. Data acquisition often involves extraction from one or more business systems, cleansing and integration into a single repository such as a data warehouse or data mart

Initial analysis is typically performed against a smaller sample set of data. Analytic tools range from spreadsheets with statistical functions to complex data mining and predictive modeling applications. As patterns and relationships in the data are uncovered, new questions are asked and the analytic process iterates until the business goal is met.

Deployment of predictive models involves scoring data records -- typically in a database -- and using the scores to optimize real-time decisions within applications and business processes. BA also supports tactical decision-making in response to unforeseen events. And, in many cases, the decision-making is automated to support real-time responses.

Business analytics vs. business intelligence

While the terms business intelligence and business analytics are often used interchangeably, there are some key differences:

Business analytics vs. data science

The more advanced areas of business analytics can start to resemble data science, but there is also a distinction between these two terms. Even when advanced statistical algorithms are applied to data sets, it doesn't necessarily mean data science is involved. That's because true data science involves more custom coding and exploring answers to open-ended questions.

Data scientists generally don't set out to solve a specific question, as most business analysts do. Rather, they will explore data using advanced statistical methods and allow the features in the data to guide their analysis. There are a host of business analytics tools that can perform these kinds of functions automatically, requiring few of the special skills involved in data science.

Business analytics applications

Business analytics tools come in several different varieties:

Self-service has become a major trend among business analytics tools. Users now demand software that is easy to use and doesn't require specialized training. This has led to the rise of simple-to-use tools from companies such as Tableau and Qlik, among others. These tools can be installed on a single computer for small applications or in server environments for enterprise-wide deployments. Once they are up and running, business analysts and others with less specialized training can use them to generate reports, charts and web portals that track specific metrics in data sets.

This was last updated in July 2019

Next Steps

Expert Wayne Kernochan provides an overview of the different types of business intelligence analytics tools on the market.

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How is your company implementing business analytics in its operations?
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BA (and difference between BI) is explained here: http://www.havlena.net/en/business-analytics-intelligence/big-data-analytics-part-1-what-is-business-analytics/
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This sounds good and would like to under go a course ranging from 4 to 6 weeks to equip myself and my company with scientific analytical tools that will assist in measuring the company's strategic efforts more specifically marketing strategy efforts.
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Finest article i read about Business Analytics, Thanks for sharing such a important information, How can i pursure my career in Business Analytics,
What about Victoria University India who offers international master of business analytics course in India. Anyone who share further information about VU india. 
Thanks in Advanced
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Thanks, Very effective information about Business Analytics.
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Business Analytics is gaining popularity as analytics skills are amongst the most essential in today’s world. This article has given me great knowledge and in depth understanding on data analytics. It also made me understand the differences between data analytics and data science. Thank you for sharing such important information. I had enrolled for the PG Program in Business Analytics at Great Learning. I had got to interact with people from different domains and different experience levels. It gave me the exposure to the use of analytics in different domains, which in turn helped me meet a lot of people from different businesses. Data analytics is a start to building my career.
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Very nice article about business data analytics.
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