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? What is the difference between business analytics and data analytics?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

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

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smarten

APRIL 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics? These enterprises will typically focus on building a team of data scientists or business analysts to help with this task OR they might take on an augmented analytics initiative to provide access to data and analytics for their business users.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

Smart Data Collective

MARCH 3, 2021

The legal sector is still in its infancy when it comes to big data and analytics. Lawyers and law experts are trying to figure it out, and consternation continues to shadow some corners because not everyone can quite understand what analytics is and how it can improve the personal injury law industry.

Analytics 128

Analytics Big Data Predictive Modeling Insurance 128

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 87

Data Science Data Analytics Prescriptive Analytics Analytics 87

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 87

Predictive Analytics Sales Enterprise Predictive Modeling 87

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 87

Management Cost-Benefit Data-driven Predictive Analytics 87

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

Smarten

JUNE 17, 2022

Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. It was initiated in 2004 by the Department of Information Technology for implementing the provisions of the 2008 Information Technology Amendment Act. About Smarten.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

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

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Why is augmented analytics an important factor in your success? So, what does all this mean to your business?

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Smarten

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor ! According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Predictive Modeling to support business needs, forecast, and test theories.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

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 90

Sales Technology Predictive Modeling Optimization 90

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

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. BA and BI are broad terms covering all kinds of technologies and approaches – and, to add to the confusion, are often used interchangeably. What’s In a Name?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Smarten

JANUARY 22, 2019

A Data and Analytics Platform to Support Business Users and Data Scientists! A cutting-edge advanced analytics vendor takes an innovative approach to the data and analytics platform by focusing on Technology Leadership, Team Environment and a Customer and Partner Focus.

Analytics 40

Analytics Predictive Modeling Predictive Analytics Business Intelligence 40

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. Predicting Demand. If that’s the case, there must be something to this trend, right?

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

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

Smarten

NOVEMBER 2, 2023

Gartner analysts predict that, ‘…citizen data scientists will surpass data scientists in the amount of advanced analysis produced.’ Citizen Data Scientist Training If you choose the right Augmented Analytics tool with traditional BI reporting, KPIs, and other tools, you can be assured that the tools are easy to use.

Predictive Analytics 67

Predictive Analytics Analytics Visualization Reporting 67

FineReport

APRIL 21, 2024

Defining Business Intelligence and SaaS Business Intelligence (BI) encompasses the technologies and strategies used for data analysis and decision-making within organizations. Additionally, there is a growing demand for advanced analytics and data visualization tools to make data-driven decisions. What Are SaaS BI Tools?

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

Smarten

NOVEMBER 8, 2022

The Smarten advanced analytics product suite was specifically designed to support business users and those with average technology skills and offers sophisticated analytics tools in an intuitive, easy-to-use environment and this self-paced course material is a natural extension of the self-serve Smarten Augmented Analytics approach.’.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

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

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 89

Cost-Benefit Measurement Management Predictive Analytics 89

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. Predicting Return Rates On New Products. Then we ran Kraken’s machine learning and predictive modeling engine to get the results.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

IBM Big Data Hub

MAY 17, 2024

And these technologies provide brands with intelligent tools, enabling more productivity and efficiency than was possible even five years ago. AI models analyze vast amounts of data quickly and accurately. Today the technology’s advanced capabilities encourage widespread adoption.

B2B 40

B2B Interactive Optimization Forecasting 40

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 91

Cost-Benefit Insurance Unstructured Data Machine Learning 91

datapine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? We already saw earlier this year the benefits of Business Intelligence and Business Analytics. What Is Business Intelligence And Analytics?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time.

Machine Learning 62

Machine Learning Data Science Statistics Deep Learning 62

BizAcuity

APRIL 25, 2022

Thanks to data analytics, these decisions can now be backed by data. Most casinos lack a proper analytical system to identify and segment customer profiles based on past behavior. Predictive Analytics. Gaming analytics is still evolving. Most of the casino analytics tools are backward-looking. Player Churn.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

DMBS2

MAY 20, 2018

Data(base) management technology is progressing pretty much as I expected. Multiple kinds of data model are viable … … but it’s usually helpful to be able to do some kind of JOIN. Rightly or wrongly, enterprises are often quite sloppy about analytic accuracy. That day has come.

Internet of Things 50

Internet of Things Predictive Analytics Metrics Enterprise 50

BizAcuity

MARCH 8, 2019

Workforce Analytics – What is its need for companies. Workforce Analytics in simple terms can be defined as an advanced set of software and methodology tools that measures, characterizes, and organizes sophisticated employee data and these tools helps in understanding the employee performance in a logical way.

Analytics 73

Analytics Prescriptive Analytics Cost-Benefit Metrics 73

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

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. It’s the most revolutionary technological development in at least a generation.

Insurance 81

Insurance Risk Data-driven Finance 81

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. Manage a range of machine learning models with watstonx.ai

Machine Learning 85

Machine Learning Modeling Deep Learning Predictive Modeling 85

FineReport

APRIL 24, 2024

Whether it’s a high-level overview for executives or detailed analytics for technical teams, visualizations can be tailored to cater to diverse audiences. Its robust capabilities for handling large datasets and real-time analytics make it a preferred choice for many professionals across industries.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52