CIO Business Intelligence

JULY 5, 2022

What are the benefits of business analytics? What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Analytics 126

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 126

datapine

NOVEMBER 27, 2019

A survey conducted by the Business Application Research Center stated the data quality management as the most important trend in 2020. It is not only important to gather as much information possible, but the quality and the context in which data is being used and interpreted serves as the main focus for the future of business intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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. With IBM watsonx™ Assistant, companies can build large language models and train them using proprietary information, all while helping to ensure the security of their data.

Predictive Analytics 85

Predictive Analytics Sales Enterprise Predictive Modeling 85

Smart Data Collective

MARCH 3, 2021

Experienced lawyers can become proficient at predicting the outcome and duration, but that comes after many bad guesses that cost them money. Data analytics is popular in many industries for monitoring customer behavior and helps companies make informed decisions. Analytics can help them predict payouts.

Analytics 128

Analytics Big Data Predictive Modeling Insurance 128

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. The main use of business intelligence is to help business units, managers, top executives, and other operational workers make better-informed decisions backed up with accurate data.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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. Asking the right business intelligence questions will lead you to better analytics.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

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

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 Diagnostic Analytics 157

Smarten

APRIL 12, 2023

Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics. SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smarten

JUNE 22, 2022

When faced with the challenge of improving data literacy and enabling digital transformation, the business would do well to consider the Embedded BI with integration APIs approach.’. But how does an organization encourage the use of data analytics and help business users to become more comfortable with the use of data?

Slice and Dice 76

Slice and Dice Digital Transformation Business Intelligence Predictive Modeling 76

FineReport

APRIL 9, 2024

Benefits of Healthcare Business Intelligence Tools Improved Decision-Making: Healthcare BI tools enable informed decision-making by providing real-time data analysis and predictive insights. Healthcare data governance plays a pivotal role in ensuring the secure handling of patient data while complying with stringent regulations.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

IBM Big Data Hub

MAY 17, 2024

AI models analyze vast amounts of data quickly and accurately. They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions. But customers aren’t yet completely on board.

B2B 58

B2B Interactive Optimization Forecasting 58

Smarten

NOVEMBER 8, 2022

“By the end of this course, participants will understand the role and value of Citizen Data Scientists and the benefits to the organization, as well as the integration points and cultural shifts that will position analytical professionals and Citizen Data Scientists to work more productively,” Patel says. About Smarten.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Smarten

MAY 24, 2018

Smarten Augmented Analytics represents the evolution of the ElegantJ BI approach to business intelligence, and the significance of self-serve data preparation, smart visualization, and assisted predictive modeling.

Analytics 40

Analytics Data Analytics Data mining Predictive Modeling 40

Smarten

AUGUST 22, 2023

Team members can perform day-to-day tasks quickly and move on to the next task, incorporating analytics into assigned roles to become more productive and do more in less time with fewer resources. With this information, teams can make solid, fact-based decisions and avoid missteps and re-work.

Enterprise 52

Enterprise Predictive Analytics Consulting Strategy 52

Sisense

AUGUST 11, 2019

BA is a catch-all expression for approaches and technologies you can use to access and explore your company’s data, with a view to drawing out new, useful insights to improve business planning and boost future performance. BI is also about accessing and exploring your organization’s data. What About “Business Intelligence”?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Smarten

FEBRUARY 13, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Analytics 52

Analytics Key Performance Indicator Business Intelligence ROI 52

IBM Big Data Hub

FEBRUARY 14, 2024

Running on neural networks , computer vision enables systems to extract meaningful information from digital images, videos and other visual inputs. Clean up with predictive maintenance AI can be used for predictive maintenance by analyzing data directly from machinery to identify problems and flag required maintenance.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

Jet Global

MAY 1, 2023

Aggregated views of information may come from a department, function, or entire organization. These systems are designed for people whose primary job is data analysis. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. Who Uses Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

SEPTEMBER 2, 2022

The person leading this effort is Anupam Khare, Oshkosh’s global chief information and digital officer, who keeps his teams sharply focused on key areas such as advanced analytics, AI, cybersecurity, business transformation, infrastructure, resiliency, and digital portfolio management. How extensive is your data-driven strategy today?

Uncertainty 88

Uncertainty Manufacturing Data-driven Business Intelligence 88

CIO Business Intelligence

SEPTEMBER 2, 2022

The person leading this effort is Anupam Khare, Oshkosh’s global chief information and digital officer, who keeps his teams sharply focused on key areas such as advanced analytics, AI, cybersecurity, business transformation, infrastructure, resiliency, and digital portfolio management. How extensive is your data-driven strategy today?

Uncertainty 88

Uncertainty Manufacturing Data-driven Business Intelligence 88

Smart Data Collective

DECEMBER 12, 2020

How Big Data is Taking the Financial Industry by Storm. quintillion bytes of data daily. This represents a very significant opportunity for leveraging the information in a variety of ways through processing and analyzing the growing troves of valuable data. Big data is also very important for actuarial processes.

Big Data 137

Big Data Machine Learning Finance Predictive Modeling 137

Alation

MAY 2, 2023

Hospitality organizations use data analytics to unlock insights, improve operations, and maximize profits. Leveraging analytics enables companies in this space to achieve financial and operational efficiencies while delivering personalized services and offerings. What is data analytics in the hospitality industry?

Data Analytics 52

Data Analytics Analytics ROI Data Governance 52

Alation

MAY 2, 2023

Hospitality organizations use data analytics to unlock insights, improve operations, and maximize profits. Leveraging analytics enables companies in this space to achieve financial and operational efficiencies while delivering personalized services and offerings. What is data analytics in the hospitality industry?

Data Analytics 40

Data Analytics Analytics ROI Data Governance 40