article thumbnail

Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.

article thumbnail

Big Data Skill sets that Software Developers will Need in 2020

Smart Data Collective

From the tech industry to retail and finance, big data is encompassing the world as we know it. They can use predictive, descriptive and prescriptive analytics to help CSCOs turn metrics into insights for better decision-making. Statistics, qualitative analysis and quant are some of the backbones of big data.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Trending Technologies for BI & Financial Planning and AnalysisMaking AI Real (Part 2)

Jedox

Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive. Analytic Evolution in Enterprise Performance Management. Predictive analytics is one aspect of advanced analytics that will be key in driving efficiency and innovation.

article thumbnail

Five Steps for Building a Successful BI Strategy

Sisense

A business intelligence strategy is a blueprint that enables businesses to measure their performance, find competitive advantages, and use data mining and statistics to steer the business towards success. . When working with customers we’ve found that a good place to start is with finance and sales data. Find a bottleneck in R&D?

article thumbnail

The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

Government, Finance, … Tough question…mostly as it’s hard to determine which industry due to different uses and needs of D&A. As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Does this promote efficiency? We see both too.

article thumbnail

What Is Embedded Analytics?

Jet Global

Advanced Analytics Some apps provide a unique value proposition through the development of advanced (and often proprietary) statistical models. These advanced analytics become easy for users to apply in their own analyses. Statistically speaking, you increase your likelihood of success simply by putting your goals on paper.