CIO Business Intelligence

MAY 21, 2024

The platform includes six core components and uses multiple types of AI, such as generative, machine learning, natural language processing, predictive analytics and others, to deliver results. Epicor Grow Data Platform is a full-stack, no-code data platform that allows enterprises to manage all of their data in one place.

Forecasting 126

Forecasting Predictive Analytics Machine Learning Data-driven 126

CIO Business Intelligence

SEPTEMBER 19, 2023

And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand. At Estée Lauder , the company has released a voice-enabled makeup assistant designed to assist visually impaired people with applying makeup. Artificial Intelligence, Chatbots, IT Strategy, Predictive Analytics

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

Birst BI

OCTOBER 30, 2018

Instead of transacting business with only a paper record, enterprise applications recorded transactions in a computer database. An analytics alternative that goes beyond descriptive analytics is called “Predictive Analytics.”. Predictive Analytics: Predicting Future Outcomes.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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

CIO Business Intelligence

OCTOBER 13, 2023

The data architect is responsible for visualizing and designing an organization’s enterprise data management framework. Data architects and data engineers work together to visualize and build the enterprise data management framework. In some ways, the data architect is an advanced data engineer.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Cloudera

JULY 18, 2018

To arrive at quality data, organizations are spending significant levels of effort on data integration, visualization, and deployment activities. The combined solution consists of Cloudera Enterprise Data Hub, Cloudera Data Science Workbench, and MetiStream Ember software with options for both cloud and SaaS deployments.

Machine Learning 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

CIO Business Intelligence

JULY 5, 2022

Research firm Gartner defines business analytics as “solutions used to build analysis models and simulations to create scenarios, understand realities, and predict future states.”. Descriptive analytics uses historical and current data to describe the organization’s present state by identifying trends and patterns.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

FineReport

APRIL 21, 2024

Additionally, there is a growing demand for advanced analytics and data visualization tools to make data-driven decisions. Key Features of SaaS BI Tools When it comes to SaaS BI tools , one of the key features that sets them apart is their ability to provide real-time data access and visualization.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

datapine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. Front-end analytical and business intelligence skills are geared more towards presenting and communicating data to others. b) If You’re Already In The Workforce. BI developer.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. The online program includes an additional nonrefundable technology fee of US$395 per course.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

NOVEMBER 14, 2022

The concept of DSS grew out of research conducted at the Carnegie Institute of Technology in the 1950s and 1960s, but really took root in the enterprise in the 1980s in the form of executive information systems (EIS), group decision support systems (GDSS), and organizational decision support systems (ODSS). Parmenides Edios. TIBCO Spotfire.

Data mining 144

Data mining Data-driven Statistics OLAP 144

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

MAY 13, 2022

With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Business insight and data analytics landscape. Artificial intelligence and allied technologies make business insight tools and data analytics software more efficient.

Business Analytics 135

Business Analytics Analytics Unstructured Data Data-driven 135

IBM Big Data Hub

MAY 9, 2024

Also, using predictive analytics can help identify trends, patterns and potential future health risks in your patients. It’s worth noting that most electronic health records (EHR) systems offer predictive analytics capabilities. The accuracy of these analytics is limited by the accuracy of the data used.

Data Governance 66

Data Governance Data Quality Insurance Predictive Analytics 66

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

FineReport

APRIL 9, 2024

The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making. Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smarten

NOVEMBER 2, 2023

Augmented Analytics Tools When you implement a Citizen Data Scientist initiative, be sure you select the right augmented analytics solution – one that is specifically designed to support the average business user with easy-to-use tools and techniques and sophisticated functionality.

Predictive Analytics 67

Predictive Analytics Analytics Visualization Reporting 67

Smarten

MARCH 7, 2024

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 Predictive Modeling Machine Learning Visualization 67

InsightOut

FEBRUARY 1, 2023

As business enterprises grow, your goals often evolve into becoming faster, better, cheaper, or simpler. Data analytics are essential to the successful evolution of your growing business in today's modern world. We all collect things if we think they hold value. To be at the top of the game. However, there is a solution.

Data Analytics 52

Data Analytics Analytics Dashboards Visualization 52

datapine

JANUARY 6, 2022

Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought. In fact, a Digital Universe study found that the total data supply in 2012 was 2.8

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Smart Data Collective

JUNE 16, 2022

Over 70% of global businesses use some form of analytics. This is an important year for enterprises keeping in view that most global industries are recovering from the pandemic horror, and the era of web 3.0 They are using analytics to help drive business growth. is at the doorstep. Extract Value From Customer.

Business Analytics 123

Business Analytics Analytics Forecasting Business Analysis 123

CIO Business Intelligence

MARCH 23, 2022

While enterprise transformation is driven by customer and business needs, technology can be the catalyst for large transformational change. The Benefits of Enterprise Transformation . The benefits organizations can expect to receive from leveraging technology for enterprise transformation include: . Look Up, Frequently .

Technology 98

Technology IoT Internet of Things Data-driven 98

CIO Business Intelligence

JANUARY 19, 2024

Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics. The certification requires passing three exams: Predictive Modeling Using SAS Enterprise Miner 14; SAS Advanced Predictive Modeling Using SAS 9.4;

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

datapine

MAY 2, 2023

Using the right dashboard and data visualizations, it’s possible to hone in on any trends or patterns that uncover inefficiencies within your processes. Big data visualization tools create transparency across the board, breaking down silos and empowering brands to work as one cohesive network, rather than disjointed entities.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

CIO Business Intelligence

JUNE 16, 2022

Since those early inhouse iterations, BPM systems have evolved into excellent full-fleged platforms for tracking and fine-tuning everything that happens inside an organization, complete with a wide variety of interfaces for working with other standard enterprise systems such as accounting software or assembly line management systems.

Management 119

Management Insurance Software Digital Transformation 119

Smarten

JUNE 29, 2018

’ ARIMAX is related to the ARIMA technique but, while ARIMA is suitable for datasets that are univariate (see the article, entitled’ What is ARIMA Forecasting and How Can it Be Used for Enterprise Analysis?’). How Can ARIMAX Forecasting Be Used for Enterprise Analysis?

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

BizAcuity

APRIL 1, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Exploratory Data Analysis (EDA) EDA is used to analyze data and summarize their main properties and characteristics using visual techniques.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

InsightOut

FEBRUARY 1, 2023

As business enterprises grow, your goals often evolve into becoming faster, better, cheaper, or simpler. Data analytics are essential to the successful evolution of your growing business in today's modern world. We all collect things if we think they hold value. To be at the top of the game. However, there is a solution.

Data Analytics 40

Data Analytics Analytics Dashboards Visualization 40

BizAcuity

JANUARY 18, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. EDA is used to analyze data and summarize their main properties and characteristics using visual techniques. Predictive Analytics. Exploratory Data Analysis (EDA).

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

FineReport

APRIL 26, 2023

In this article, we will explore the importance of Big Data, why enterprises need Big Data tools, how to choose the right Big Data analytics tools and provide a list of the top 10 Big Data analytics tools available today. Why do Enterprises Need Big Data Tools? What is Big Data? What is Big Data?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

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.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Smarten

JUNE 25, 2018

How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data? The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Use Case – 2.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

IBM Big Data Hub

SEPTEMBER 26, 2022

Achieving data literacy with storytelling and visualization. Collecting massive amounts of data presents a common issue for both private and public enterprises: how to make sense of all that data. But strong storytelling must go beyond presenting data in the form of charts, graphs and tables. Keeping the citizen front and center.

B2B 52

B2B Visualization Data-driven Cost-Benefit 52

Smarten

JUNE 26, 2018

How Can the ARIMA Forecasting Method Be Used for Enterprise Analysis? Business Problem: A pharmaceutical company wants to predict the sales of a drug for the next two months, based on drug sales data from the past 12 months. It converts non-stationary data to stationary to allow for a fairly constant level over time.

Forecasting 40

Forecasting Enterprise IT Sales 40

Domino Data Lab

JULY 28, 2021

Reasons for this may include the desire to plan for economic downturns using predictive analytics such as machine learning, better pinpoint consumer needs with clustering algorithms or improve marketing strategies through data visualization.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Smarten

JUNE 29, 2018

How Can the Karl Pearson Correlation Method Be Used to Target Enterprise Analytical Needs? The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

Here is a sample of simple linear regression analysis, considering the effects of temperature on crop yield: Simple linear regression is limited to predicting numeric output i.e., dependent variable has to be numeric in nature. How Can the Enterprise Use Simple Linear Regression to Analyze Data? Use Case – 1.

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40