Business Analytics Optimization Predictive Analytics Risk 
Smart Data Collective
MARCH 19, 2023
Paul Glen of IBM’s Business Analytics wrote an article titled “ The Role of Predictive Analytics in the Dropshipping Industry.” ” Glen shares some very important insights on the benefits of utilizing predictive analytics to optimize a dropshipping commpany.
BizAcuity
APRIL 1, 2023
Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
BizAcuity
JANUARY 18, 2023
Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics.
Cloudera
OCTOBER 4, 2023
In telecommunications, fast-moving data is essential when we’re looking to optimize the network, improving quality, user satisfaction, and overall efficiency. In financial services, fast-moving data is critical for real-time risk and threat assessments. We get optimized price/performance on complex workloads over massive scale data.
Smart Data Collective
JUNE 8, 2023
Monitoring player fitness levels, tracking recovery progress, and identifying potential injury risks are crucial for maintaining the overall well-being of players. Coaches can analyze formations, player movements, and positioning to identify areas of improvement and optimize strategies.
Smart Data Collective
NOVEMBER 25, 2019
In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences. Predictive Business Analytics. Predictive analytics is the use of data and AI-powered algorithms to help analysts forecast the future and better predict business outcomes.
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.
Expert insights. Personalized for you.
129 
Let's personalize your content