Smart Data Collective

MARCH 29, 2019

One of the biggest difficulties that crypto traders, brokers and entrepreneurs face is a rising number of security risks. New advances in predictive analytics are helping solve many of these threats. This is where predictive analytics technology can be invaluable for security purposes.

Predictive Analytics 56

Predictive Analytics Analytics Analytics Technologies Software 56

Birst BI

OCTOBER 30, 2018

A personal crystal ball that predicts your days ahead is what financial services firms everywhere want. Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Will this next trade return a profit?

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Smart Data Collective

JULY 16, 2023

The Imperative of Risk Mitigation A crucial element in the world of financial investments is effective hedge fund management. Optimizing hedge fund performance requires the implementation of intelligent strategies, from managing risks to maximizing returns, improving investor relations, and adapting to shifting market conditions.

ROI 71

ROI Data Analytics Analytics Risk Management 71

Smart Data Collective

JULY 12, 2021

Stock trading is an area where data and analytics are now more critical. To be specific, day traders are focusing more on big data and analytics technology. They currently use technology for identifying the direction of share prices, valuation, as well as identifying financial assets. Learn About the Market.

Big Data 130

Big Data Marketing Predictive Analytics Risk 130

datapine

AUGUST 29, 2022

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. At 156 pages on Kindle, this is a book you could finish in one (long) sitting if you were so inclined, and that you can also use as an inspiration when you work on your business intelligence strategy.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Smart Data Collective

AUGUST 29, 2022

Did you know that 53% of companies use data analytics technology ? Machine Learning Helps Companies Get More Value Out of Analytics. There are a lot of benefits of using analytics to help run a business. You will get even more value out of analytics if you leverage machine learning at the same time.

Analytics 114

Analytics Predictive Analytics Machine Learning Insurance 114

Smart Data Collective

DECEMBER 22, 2021

Big data technology is one of the most important forms of technology that new startups must use to gain a competitive edge. The right data strategy can help your startup become profitable. Fortunately, the process will be easier if you know how to use analytics technology to better understand your audience.

Big Data 136

Big Data Data mining Data-driven Predictive Analytics 136

Smart Data Collective

JUNE 16, 2021

However, data analytics isn’t guaranteed to solve all call center challenges without the right strategy in place. Data analytics technology can help solve many of these challenges, but it needs to be properly utilized. The good news is that data analytics technology can help with employee training.

Data Analytics 88

Data Analytics Analytics Cost-Benefit Data mining 88

datapine

OCTOBER 11, 2023

3) Top 15 Warehouse KPIs Examples 4) Warehouse KPI Dashboard Template The use of big data and analytics technologies has become increasingly popular across industries. Every day, more and more businesses realize the value of analyzing their own performance to boost strategies and achieve their goals.

Metrics 217

Metrics KPI Management Cost-Benefit 217

Smart Data Collective

JANUARY 12, 2022

Specific Ways Small Businesses Can Use Data Analytics to Resolve Financial Problems. Here are some of the most common personal-finance mistakes business owners can fix with big data technology. Fraud risks. Small businesses suffer the greatest risks of fraud. Use Data Analytics to Help Create an Emergency fund.

Data Analytics 116

Data Analytics Analytics Finance Data mining 116

Smart Data Collective

JUNE 8, 2023

Sports leagues and teams are using analytics to estimate turn out at various sporting events, predict the performance of individual athletes, identify ways that athletes can improve their performance and improve marketing strategies. We have mentioned that golf players have used data analytics to improve performance.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

IBM Big Data Hub

JULY 24, 2023

ITOA helps ITOps streamline their decision-making process by using technology to analyze large data sets and identify the right IT strategy. The goal is to address the underlying issue while determining if other software or systems are at risk of failure, as well.

IT 55

IT Analytics Cost-Benefit Predictive Analytics 55

Smart Data Collective

JUNE 30, 2023

Managing personal finances is becoming more complex with various investment options, debt strategies, and budgeting tools. Eric Blue’s experience in the world of finance has given him a unique perspective on the challenges people face and the strategies they can employ to overcome these obstacles.

Insurance 80

Insurance Finance Cost-Benefit Strategy 80

Smart Data Collective

DECEMBER 21, 2022

You can use big data to improve risk scoring models and use real-time analytics to stop threats. You can also use predictive analytics tools to identify threats before they occur, so you can create a more robust cybersecurity system. There are a number of benefits of using big data to prevent cyberattacks. Ethical Hacker.

IT 111

IT Big Data Data Science Data-driven 111

Smart Data Collective

AUGUST 21, 2019

Understanding the Nature of Digital Products and Building a Data Strategy Around Them. They can use many different types of machine learning and predictive analytics technology to get the most of it. Reduce risk by choosing a platform that offers up-to-date security measures. eBooks are also the most common.

Big Data 78

Big Data Sales Marketing Predictive Analytics 78

BizAcuity

AUGUST 26, 2019

This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation.

Prescriptive Analytics 74

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 74

datapine

JANUARY 18, 2023

That said, there are various types of reports that can be used for different purposes, rather you want to track the progress of your strategies or stay compliant with financial laws, there is a different report for each task. With this information in hand, businesses can build strategies based on analytical evidence and not simple intuition.

Reporting 201

Reporting Metrics Dashboards Visualization 201

BizAcuity

AUGUST 26, 2019

This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation.

Prescriptive Analytics 40

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 40

Decision Management Solutions

MARCH 25, 2019

And these XXXs are almost always the kinds of things that analytics, machine learning or AI can identify such as customer mood, likelihood of deception, risk of waste etc. Even if data science initiatives are aligned with the business strategy, the only way to get real value is by operationalizing the results.”

Insurance 75

Insurance Data Science Testing Modeling 75

Grooper

AUGUST 19, 2019

Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. It's not about the technology - or solving the data silo problem.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54