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 131

Data Architecture Data Warehouse Statistics Visualization 131

datapine

MARCH 8, 2021

Your Chance: Want to test a healthcare reporting software for free? By utilizing interactive digital dashboards, it’s possible to leverage data to transform metrics into actionable insights to spot weaknesses, identify strengths, and predict events before they occur. Your Chance: Want to test a healthcare reporting software for free?

Reporting 198

Reporting KPI Management Cost-Benefit 198

datapine

JANUARY 6, 2022

Through the art of streamlined visual communication, data dashboards permit businesses to engage in real-time and informed decision-making and are key instruments in data interpretation. Typically, quantitative data is measured by visually presenting correlation tests between two or more variables of significance.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

APRIL 13, 2021

Let’s dig in with the definition of agency analytics. Your Chance: Want to test a powerful agency analytics software? What Are Agency Analytics? Agency analytics is the process of taking data and transforming it into valuable insights that are then displayed with a professional agency dashboard.

Dashboards 256

Dashboards Reporting Analytics Cost-Benefit 256

CIO Business Intelligence

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

CIO Business Intelligence

JUNE 14, 2023

Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training. The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

BA Learnings

JANUARY 2, 2023

This may require using tools such as Microsoft Excel or Google Sheets for fundamental statistical analysis or more advanced tools such as Tableau for visualizing complex datasets. Identify Areas of Improvement Once the data has been analyzed, identify areas where improvement is needed for processes to become more efficient or cost-effective.

Data Analytics 130

Data Analytics Analytics Metrics Testing 130

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. Your Chance: Want to test a professional logistics analytics software? Your Chance: Want to test a professional logistics analytics software?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

datapine

OCTOBER 17, 2019

When these reports are backed up with powerful visualizations developed with a dashboard creator , no information can stay hidden, eliminating thus the possibility of human errors and negative business impact. However, the use of dashboards, big data, and predictive analytics is changing the face of this kind of reporting.

Reporting 263

Reporting Management Dashboards KPI 263

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 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Conversely, if predictive analytics models suggest that the value of a cryptocurrency price is likely to decrease, more investors are likely to sell off their cryptocurrency holdings.

Machine Learning 139

Machine Learning Forecasting Predictive Analytics Marketing 139

Smarten

JUNE 29, 2018

This article focuses on the Independent Samples T Test technique of Hypothesis testing. What is the Independent Samples T Test Method of Hypothesis Testing? Let’s look at a sample of the Independent t-test on two variables. How Can the Independent Samples T Test Method Benefit an Organization? About Smarten.

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JUNE 26, 2018

This article describes chi square test of association and hypothesis testing. What is the Chi Square Test of Association Method of Hypothesis Testing? Let’s conduct the Chi square test of independence using two variables: Gender and Product category. Use Case – 1. About Smarten.

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JUNE 29, 2018

This article discusses the Paired Sample T Test method of hypothesis testing and analysis. What is the Paired Sample T Test? The Paired Sample T Test is used to determine whether the mean of a dependent variable e.g., weight, anxiety level, salary, reaction time, etc., is the same in two related groups.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

CIO Business Intelligence

NOVEMBER 14, 2022

It features support for creating and visualizing decision tree–driven customer interaction flows. Geared for midsize/large companies, Parmenides Eidos provides visual reasoning and knowledge representation to support scenario-based strategizing, problem solving, and decision-making. Yonyx is a platform for creating DSS applications.

Data mining 136

Data mining Data-driven Statistics OLAP 136

Smart Data Collective

JULY 9, 2023

Enhancing Insights with Heatmaps and User Session Recordings Analytics are the building blocks for deep user insights, but more instruments are needed to gain a complete understanding. Heatmaps are powerful visual tools help show where website visitors pay the most attention.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

Sisense

AUGUST 14, 2020

The SOINN method converts binary files to visual representations and in doing so has achieved over 94% accuracy in detecting files infected with viruses! By using a visual representation of code, the virus code can be detected without running the code and endangering the test system.

Machine Learning 98

Machine Learning Visualization Predictive Analytics Testing 98

Domino Data Lab

JULY 28, 2021

After thorough review, revision, possible unit-testing, code reviews and the greenlight from any relevant stakeholders. Including stakeholders in the testing and validation results, communicating the features that are most important when making predictions will help stakeholders understand and trust the model.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

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

Sisense

OCTOBER 29, 2021

While even the most advanced analytics systems can’t tell you everything to expect in the months to come, we’ve once again rounded up some of the stories in the news we think you should be aware of to see what’s new in the world of embedded analytics and how you could be doing more with your data.

Analytics 52

Analytics Testing Predictive Analytics Data-driven 52

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

Jet Global

FEBRUARY 13, 2024

When organizations save on the resources it takes to establish effective embedded analytics functions, they can turn their attention to advanced analytics features like predictive analytics and generative artificial intelligence (GenAI). Buyers should seek solutions with robust, tested security features and controls.

Analytics 52

Analytics Dashboards Reporting Predictive Analytics 52

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. They enable powerful data visualization.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

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

Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. And this blog will focus on Predictive Analytics. Predictive Analytics – AI & machine learning. A/B testing). The second blog dealt with creating and managing Data Enrichment pipelines. Here are the key stages: .

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

BizAcuity

MAY 16, 2022

His name was William Gosset and he is credited to have developed the student t-test. Visual Analytics employs data mining to identify patterns and trends which would have been incredibly difficult to find without it. Visual Analytics and Data Visualization.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Smarten

JANUARY 31, 2019

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Smarten

JUNE 17, 2022

After completion of the testing procedure, the certificate is provided to show that all requirements were met. 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.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

IBM Big Data Hub

JULY 26, 2023

The twin will continuously collect data from the physical asset and use predictive analytics and machine learning (ML) algorithms to predict future performance. By constantly monitoring equipment performance and comparing it to virtual counterparts, operators can predict potential failures or breakdowns.

Technology 57

Technology Cost-Benefit Optimization Internet of Things 57

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. An e-commerce conglomeration uses predictive analytics in its recommendation engine.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Smarten

APRIL 12, 2023

About Smarten 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.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smarten

JUNE 10, 2022

Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. Predictive Modeling to support business needs, forecast, and test theories. Smart Data Visualization. Auto Insights.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Smart Data Collective

DECEMBER 1, 2019

A lot of this comes down to genetic testing and even medical imaging too, which is highly dependent on new AI advances. Gaming providers now use advanced predictive analytics tools to deliver a better user experience. When you have found the ones you want, you can then buy visually similar items with the click of a button.

Finance 81

Finance Marketing Predictive Analytics Technology 81

Sisense

OCTOBER 6, 2020

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. These programs and systems are great at generating basic visualizations like graphs and charts from static data. Quantitative data is the bedrock of your BI and analytics.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Sisense

MAY 12, 2019

You should have at least one KPI for every part of your product cycle; planning, development, testing, deployment, release, and monitoring. Just imagine what your daily scrum meetings will look like when you pull up a visual dashboard showing the team’s progress for build duration or cycle times? Getting Started.

Analytics 79

Analytics Dashboards KPI Measurement 79

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88