Sisense

JANUARY 26, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. Building an accurate predictive analytics model isn’t easy. It’s a difficult process, but an effective predictive analytics engine is an enormous asset for any organization.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

Birst BI

OCTOBER 30, 2018

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. An analytics alternative that goes beyond descriptive analytics is called “Predictive Analytics.”. Predictive Analytics: Predicting Future Outcomes. Accounts in use.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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.’ Complete Set of Analytical Techniques. Access to Flexible, Intuitive Predictive Modeling.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Smarten

AUGUST 5, 2022

Can Predictive Analytics Provide Accurate Results for My Business Without Burdening My Users? If your business is struggling to forecast and predict outcomes and results, your management team is probably considering predictive analytics. What is Predictive Analytics?

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Forecasting 52

CIO Business Intelligence

SEPTEMBER 5, 2023

We are living through a unique moment where two transformative technologies for business are converging. Any new technology only has value when it can be integrated seamlessly across systems and processes so organizations can do things they couldn’t do before. In other words, it’s never about the new technology itself.

Technology 105

Technology Predictive Modeling Predictive Analytics Forecasting 105

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Approaches need to take this dynamic nature into mind.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

KDnuggets

AUGUST 22, 2019

We developed an optimal prediction model from correlations in the time and status of ownership as well as the time of the year of sales fluctuations. Using the ATTOM dataset, we extracted data on sales transactions in the USA, loans, and estimated values of property.

Sales 102

Sales Technology Predictive Modeling Optimization 102

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? Predictive analytics: What is likely to happen in the future?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Smart Data Collective

MARCH 3, 2021

The firms that bill their clients on an hourly rate tend to experience internal tension because they believe that analytics would disturb their profitability. Therefore, they should be willing to integrate technology into their processes and do alternative fee agreements to use big data to accelerate cases. Final thoughts.

Analytics 133

Analytics Big Data Predictive Modeling Insurance 133

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 135

Data Analytics Diagnostic Analytics Management Analytics 135

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. A fundamental differentiation factor is in the method each of them uses as a base.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

datapine

JANUARY 31, 2022

Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data. With this information in hand, the company started to think about how to invest in data quality, data standards, and the required technology to support it. What Are The Benefits of Business Intelligence?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

This technology has the potential to significantly redefine the mission of the financial planning and analysis group. From an organization and management perspective, I think the key to taking full advantage of AI and GenAI technology is to refashion the group into a planning center of excellence.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

Smart Data Collective

JULY 24, 2023

The Intersection of AI and VMS AI has penetrated virtually every aspect of business operations, from customer service to human resources, and VMS is a prime candidate for the application of AI technologies. Key AI Technologies Enhancing VMS Several AI technologies are at the forefront of enhancing VMS.

Management 98

Management Cost-Benefit Data-driven Predictive Analytics 98

DataRobot

JANUARY 20, 2022

. — Snowflake and DataRobot AI Cloud Platform is built around the need to enable secure and efficient data sharing, the integration of disparate data sources, and the enablement of intuitive operational and clinical predictive analytics. Technology Alliance. Building data communities. . Grasping the digital opportunity.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

CIO Business Intelligence

OCTOBER 4, 2022

They identified two architectural elements for processing and delivering data: the “data platform,” which covers the sourcing, ingestion, and storage of data sets, and the “machine learning (ML) system,” which trains and productizes predictive models using input data. The focus on a modern data architecture has never been clearer.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

Rocket-Powered Data Science

OCTOBER 6, 2023

Using the same statistical terminology, the conditional probability P(Y|X) (the probability of Y occurring, given the presence of precondition X) is an expression of predictive analytics. By exploring and analyzing the business data, analysts and data scientists can search for and uncover such predictive relationships.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

Jedox

JULY 23, 2019

You do not have to be a data scientist to recognize the impact of technology on FP&A is and will continue to be significant. One of the biggest challenges of automation (Robotic Process Automation) and artificial intelligence/machine learning technologies is our current mindset. Exploring the technology opportunities in FP&A.

Technology 52

Technology Forecasting Finance Data-driven 52

Sisense

SEPTEMBER 9, 2019

Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. It will be iterative.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Data-driven Forecasting 75

Smarten

JULY 13, 2023

Citizen Data Scientists Can Leverage Predictive Analytics for Real Actionable Intelligence! Gartner technology analysts predict that organizations leveraging augmented analytics solutions will grow at twice the rate of those that do not use these solutions.

Predictive Modeling 52

Predictive Modeling Predictive Analytics Advertising Cost-Benefit 52

IBM Big Data Hub

APRIL 1, 2024

Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. Now, enterprises can adopt the foundational principles of this technology and apply them within their operations, further enriched by contextualization and security.

Predictive Analytics 77

Predictive Analytics Sales Enterprise Predictive Modeling 77

CIO Business Intelligence

MARCH 19, 2025

Insufficient resources : ESG initiatives require investments in specialized talent, technology and governance frameworks. Investing in data science and AI for sustainability Advanced analytics and AI can unlock new opportunities for sustainability.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

SEPTEMBER 2, 2022

What may not be as obvious is the company’s investments and activities in advanced analytics, digital manufacturing, electrification, intelligent products as well as autonomy and active safety, that are being applied in vehicles today and may one day be used by NASA as it returns to the moon with its planned sustained human exploration project.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

CIO Business Intelligence

SEPTEMBER 2, 2022

What may not be as obvious is the company’s investments and activities in advanced analytics, digital manufacturing, electrification, intelligent products as well as autonomy and active safety, that are being applied in vehicles today and may one day be used by NASA as it returns to the moon with its planned sustained human exploration project.

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

FineReport

JUNE 7, 2024

Criteria for Top Data Visualization Companies Innovation and Technology Cutting-edge technology lies at the core of top data visualization companies. Innovations such as AI-driven analytics, interactive dashboards , and predictive modeling set these companies apart.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

BizAcuity

APRIL 1, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. The underlying technology used to convert the scanned image to machine readable format is called ‘Optical Character Recognition’ (OCR) or text recognition analysis.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. The underlying technology used to convert the scanned image to machine readable format is called ‘Optical Character Recognition’ (OCR) or text recognition analysis. Predictive Analytics.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

JUNE 5, 2024

In 2015, Major League Baseball revolutionized a sport already known for its sophisticated use of data with MLB Statcast, a tracking technology that collects enormous amounts of game data. We were the go-to guys for any ML or predictive modeling at that time, but looking back it was very primitive.”

Optimization 125

Optimization Predictive Modeling Data-driven Modeling 125

Sisense

AUGUST 11, 2019

BA and BI are broad terms covering all kinds of technologies and approaches – and, to add to the confusion, are often used interchangeably. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean? BA primarily predicts what will happen in the future.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Smarten

JUNE 22, 2022

Technology research and consulting firm, Gartner, predicts that, ‘By 2023, data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs.’. Benefits of Embedded BI.

Slice and Dice 76

Slice and Dice Digital Transformation Business Intelligence Predictive Modeling 76

BizAcuity

MARCH 8, 2019

Through workforce analytics, companies can get a comprehensive view of their employees designed to interpret historical trends and in creating predictive models that lead to insights and better decisions in the future. Workforce analytics in Event Industry – Its Relevancy in today’s HR environment. Image Source: [link].

Analytics 73

Analytics Prescriptive Analytics Cost-Benefit Metrics 73

Smarten

MARCH 7, 2024

Augmented Analytics with ALL Gartner Classified Essential Components AND Auto Insights Too! While none of these is considered ‘new’ in the market today, the combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user.

Analytics 67

Analytics Machine Learning Predictive Modeling Visualization 67

IBM Big Data Hub

SEPTEMBER 19, 2023

Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics. The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

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

IBM Big Data Hub

JUNE 29, 2023

This information is then used to build predictive models of an asset’s performance over time and help spot potential problems before they arise. One of the ways maintenance managers refine and improve predictive analytics to increase asset reliability is through the creation of a digital twin.

Cost-Benefit 80

Cost-Benefit Predictive Analytics Measurement Management 80

Smarten

JANUARY 27, 2023

Predictive Analytics – Your business users should not need to seek the advice of a data scientist to forecast and predict. Natural Language Processing – If you truly want BI democratization, you must give your users the tools they are used to having when they use technology at work or at home.

Analytics 52

Analytics Business Intelligence Predictive Modeling Predictive Analytics 52