Rocket-Powered Data Science

OCTOBER 6, 2023

In these applications, the data science involvement includes both the “learning” of the most significant patterns to alert on and the improvement of their models (logic) to minimize false positives and false negatives. These may not be high-risk discoveries, but they could be high-reward discoveries. Pay attention!

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

CIO Business Intelligence

JUNE 7, 2022

To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. What are the four types of data analytics? It is frequently used for risk analysis.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

FineReport

MARCH 24, 2024

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.

Statistics 52

Statistics Data mining Visualization Reporting 52

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Domino Data Lab

JANUARY 21, 2021

This blog explores the challenges associated with doing such work manually, discusses the benefits of using Pandas Profiling software to automate and standardize the process, and touches on the limitations of such tools in their ability to completely subsume the core tasks required of data science professionals and statistical researchers.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

Alation

NOVEMBER 28, 2022

Or they don’t have the technical skill to extract, cleanse, or transform data they need. Spreadsheets dominate the activities of gathering and preparing data, and performing descriptive analytics. 78 million data workers are advanced spreadsheet users. Spreadsheets are dark matter.

Descriptive Analytics 52

Descriptive Analytics Risk Sales Data-driven 52

BizAcuity

MARCH 31, 2022

85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: AI Adoption and Data Strategy. AI is used for investments, automating accounting, fraud detection, claims prediction, credit scoring and risk profiling among others. Artificial Intelligence Analytics.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52