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Automated Sales Forecasting with Predictive Analytics Making AI Real (Part 4)

Jedox

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Making AI Real (Part 2).

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

What are the benefits of business analytics? Predictive analytics: What is likely to happen in the future? Predictive analytics is the use of techniques such as statistical modeling, forecasting, and machine learning to make predictions about future outcomes. Prescriptive analytics: What do we need to do?

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Healthcare systems can also forecast which regions will experience a rise in flu cases or other infections. Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations. Those who work in the field of data science are known as data scientists.

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more. For example, a business DSS might help a company project its revenue over a set period by analyzing past product sales data and current variables.

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Now, the team’s information architects, in conjunction with business analysts, are working on the semantic layer, which feeds data from data warehouses and data lakes into data marts, including a finance mart, sales mart, supply chain mart, and market mart.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Prescriptive Analytics. In the future of business intelligence, it will also be more common to break data-based forecasts into actionable steps to achieve the best strategy of business development. This shows why self-service BI is on the rise. Using the information in making business predictions is not a new trend.