Smart Data Collective

OCTOBER 13, 2020

They found that predictive analytics algorithms were using social media data to forecast asset prices. Predictive analytics have become even more influential in the future of altcoins in 2020. This wouldn’t have been the case without growing advances in big data and predictive analytics capabilities.

Predictive Analytics 100

Predictive Analytics Analytics Forecasting Marketing 100

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Forecasting. Access to Flexible, Intuitive Predictive Modeling. Competitive Changes.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Jedox

JANUARY 29, 2019

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting.

Predictive Analytics 41

Predictive Analytics Forecasting Sales Analytics 41

Smart Data Collective

MARCH 2, 2023

Big data technology used to be a luxury for small business owners. One survey from March 2020 showed that 67% of small businesses spend at least $10,000 every year on data analytics technology. One survey from March 2020 showed that 67% of small businesses spend at least $10,000 every year on data analytics technology.

Big Data 79

Big Data Uncertainty Risk Data mining 79

IBM Big Data Hub

FEBRUARY 19, 2024

It includes everything from product development and strategic decision-making to information systems and new technologies. To mitigate these risks , companies need the resources and technology to develop robust contingency plans. But perhaps most relevant today are the capabilities within SCM to help mitigate disruption.

Strategy 86

Strategy Management Forecasting Cost-Benefit 86

Smart Data Collective

JANUARY 29, 2020

The federal government is often slow to embrace new technology. In other words, the IRS’s data mining technology determined that one out of every five taxpayers underreported their income that year. Today, data mining technology makes it incredibly easy to identify those often-overlooked credits and deductions.

Predictive Analytics 61

Predictive Analytics Data mining Analytics Big Data 61

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

IBM Big Data Hub

JUNE 29, 2023

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. Implementing an integrated business planning approach also requires a strong technological foundation.

Key Performance Indicator 80

Key Performance Indicator Forecasting Data Integration Sales 80

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

Smart Data Collective

JUNE 29, 2022

During this wave of disruption, successful business owners and startup founders need to understand the technologies that are driving the industry forward. AI can benefit financial technology in a number of ways. Artificial intelligence is also adept at data processing and analytics, both useful tools for financial applications.

Cost-Benefit 84

Cost-Benefit Predictive Analytics Finance Forecasting 84

FineReport

APRIL 9, 2024

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

datapine

MAY 2, 2023

However, if you underestimate how many vehicles a particular route or delivery will require, then you run the risk of giving customers a late shipment, which negatively affects your client relationships and brand image. Where is all of that data going to come from?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Smarten

JUNE 8, 2022

According to technology research firm, Gartner, the number of Citizen Data Scientists will grow at five times the rate of traditional data scientists. What follows is a short list of sample use cases that leverage predictive analytics. If that’s the case, there must be something to this trend, right?

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

datapine

MARCH 31, 2022

After acquiring 3 to 5 years of experience, you can specialize in a specific technology or industry and work as an analyst, IT expert, or even go to the management side by working as a BI project manager. They use advanced technologies such as machine learning models to generate predictions about future business performance.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smart Data Collective

JULY 9, 2021

Fortunately, new advances in big data technology are helping companies get better qualified workers. Data analytics technology is very important in assessing the performance of staffing services. Companies can use data analytics to improve their hiring processes. It also helps with creating a solid hiring model.

Data Analytics 125

Data Analytics Management Analytics Big Data 125

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

Smart Data Collective

AUGUST 10, 2021

Big data and analytics technology is rapidly changing the future of modern business. Over 67% of companies spend over $10,000 a year on analytics solutions. Investments in analytics are being made across all major industries. Are your technology solutions difficult to understand? Consumer 360-Degree Perspective.

Data Analytics 136

Data Analytics Analytics Big Data Key Performance Indicator 136

Smart Data Collective

JULY 28, 2022

Fortunately, new predictive analytics algorithms can make this easier. The financial industry is becoming more dependent on machine learning technology with each passing day. Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology.

Predictive Analytics 133

Predictive Analytics Analytics Forecasting Machine Learning 133

Smart Data Collective

MAY 21, 2019

There are several ways that predictive analytics is helping organizations prepare for these challenges: Predictive analytics models are helping organizations develop risk scoring algorithms. They use machine learning technology to determine the likelihood that content is associated with such an attack.

Big Data 76

Big Data Cost-Benefit Predictive Analytics Insurance 76

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. Real-world Business Solutions The real value of any technology is measured by its impact on real-world problems.

Insurance 83

Insurance Data Warehouse Data-driven Unstructured Data 83

IBM Big Data Hub

APRIL 25, 2024

Technologies such as supply chain management software (SCM), enterprise resource planning (ERP) systems, and advanced analytics tools can be used to automate and optimize processes. Embracing new technologies helps organizations improve performance, cybersecurity and scalability and positioning themselves for long-term success.

Cost-Benefit 52

Cost-Benefit Finance Optimization Key Performance Indicator 52

Smart Data Collective

NOVEMBER 22, 2021

Data analytics technology has touched on virtually every element of our lives. Data analytics technology is helping more companies get the financing that they need for a variety of purposes. Predictive analytics tools will help you show the long-term financial advantages and how it will help boost your cash flow.

Finance 99

Finance Data Analytics Analytics Big Data 99

Smart Data Collective

JULY 31, 2022

Modern investors have a difficult time retaining a competitive edge without having the latest technology at their fingertips. Predictive analytics technology has become essential for traders looking to find the best investing opportunities. Predictive Analytics Helps Traders Deal with Market Uncertainty.

Predictive Analytics 132

Predictive Analytics Analytics Uncertainty Forecasting 132

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. However, we have observed that greater value comes from employing ensemble methods to achieve more accurate and robust predictions.

Optimization 57

Optimization Forecasting Data-driven Strategy 57

Smart Data Collective

JULY 9, 2023

Predictive Analytics for Conversion Rate Forecasting Predicting Customer Behavior with Historical Data You can predict customer behavior and adjust your strategies by analyzing historical data and identifying patterns. Take no risks when it comes to protecting data privacy!

Optimization 71

Optimization Data Analytics Analytics Data-driven 71

Smart Data Collective

NOVEMBER 25, 2020

Machine learning is transforming the financial sector more than anybody could have ever predicted. This technology might be more important than ever during the pandemic, as financial institutions discover that many traditional protocols aren’t nearly as effective. Machine learning will identify the evolving nature of the economy.

Machine Learning 144

Machine Learning Risk Predictive Analytics Forecasting 144

IBM Big Data Hub

FEBRUARY 14, 2024

McDonald’s is building AI solutions for customer care with IBM Watson AI technology and NLP to accelerate the development of its automated order taking (AOT) technology. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

IBM Big Data Hub

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. It can also significantly increase uptime and lifespan.

Cost-Benefit 58

Cost-Benefit IoT Internet of Things Enterprise 58

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. It allows for informed decision-making and efficient risk mitigation. Table of Contents 1) What Is A Warehouse KPI? 2) Why Do You Need Warehouse KPIs?

Metrics 217

Metrics KPI Management Cost-Benefit 217

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. Smart companies realize that the right outsourcing strategy needs to be carefully executed, which requires using technology the right way.

Data-driven 102

Data-driven Cost-Benefit Data mining Big Data 102

bridgei2i

JULY 8, 2020

They discuss the impact of the pandemic on enterprises and the need to adopt parallel windows – a short term window to get an enterprise’s operational system up and running as effectively as possible, and a medium-term outlook to mitigate the supply chain shocks and risks. Tune in, and don’t forget to subscribe!

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 83

Data Architecture Risk Management Risk Management 83

Smart Data Collective

APRIL 22, 2020

Combining the coronavirus and big data may prove just how valuable artificial intelligence and other major technologies can be. Predicting Community and Individual Risk of Infection. Predicting an individual’s risk of infection — and better understanding the risk factors involved — is vital in a situation like this.

Big Data 109

Big Data Machine Learning Risk Interactive 109

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

FineReport

APRIL 26, 2023

By leveraging Big Data technologies, companies can collect, store, and analyze information to make informed decisions and improve their operations. Time Saving : Big data tools and technologies can collect and analyze data from multiple sources in real-time, enabling businesses to make quick decisions based on insights.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smart Data Collective

JULY 1, 2019

What are the risks of depending too much on big data in the criminal justice system? The biggest problem is when big data is used for profiling and developing crime forecasting tools with predictive analytics. Big data can also be used to influence public policy better, such as helping us understand the War on Drugs.

Big Data 79

Big Data Cost-Benefit Predictive Analytics Machine Learning 79