datapine

MARCH 31, 2022

BI Data Scientist. A data scientist has a similar role as the BI analyst, however, they do different things. While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis. SAS BI: SAS can be considered the “mother” of all BI tools.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

bridgei2i

NOVEMBER 25, 2020

Auto-tagging, routing, organizing, adding data to relevant files, removing duplicate data, providing options to filter and sort the data to create different reports, providing data security, assisting with risk management and data compliance, etc. Using Recommender Systems.

Enterprise 52

Enterprise Data mining Consulting Risk Management 52

IBM Big Data Hub

DECEMBER 15, 2023

Morgan’s Athena uses Python-based open-source AI to innovate risk management. Its simple setup, reusable components and large, active community make it accessible and efficient for data mining and analysis across various contexts. Morgan and Spotify.

Deep Learning 64

Deep Learning Experimentation Machine Learning Risk 64

bridgei2i

JULY 28, 2020

So, then we need systems, analysts, database administrators, people who can set in place, these types of backup systems for risk management. In my company StatWeather we use this kind of data and data mining to forecast weather and climate patterns, which has been very successful.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Crisis management and risk management: Text mining serves as an invaluable tool for identifying potential crises and managing risks.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

FineReport

MARCH 24, 2024

Data analysts interpret data using statistical techniques, develop databases and data collection systems, and identify process improvement opportunities. They should possess technical expertise in data models, database design, and data mining, along with proficiency in reporting packages, databases, and programming languages.

Statistics 52

Statistics Data mining Visualization Reporting 52

BizAcuity

MARCH 31, 2022

Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management. A lot of testing AI methods can be utilized for better and more accurate outcomes from mining the data.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

CIO Business Intelligence

MARCH 13, 2024

La base imprescindibile restano i big data, perché il machine learning ha bisogno di dataset molto estesi. Anche le questioni di privacy e sicurezza sono aspetti che i CIO dovranno valutare per gli impatti sulla compliance e le attività di risk management.

Machine Learning 105

Machine Learning Deep Learning Big Data Testing 105

datapine

AUGUST 29, 2022

An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”. If we had to pick one book for an absolute newbie to the field of Data Science to read, it would be this one.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Jet Global

MAY 9, 2024

This data is transformed, cleansed, and loaded into a data lake or warehouse for analysis. Finance organizations can then leverage advanced analytics and machine learning applications to gain valuable insights for strategic planning and risk management.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52