Analytics Vidhya

MAY 1, 2022

Introduction Azure Synapse Analytics is a cloud-based service that combines the capabilities of enterprise data warehousing, big data, data integration, data visualization and dashboarding. The post Getting Started with Azure Synapse Analytics appeared first on Analytics Vidhya.

Analytics 350

Analytics Predictive Analytics Dashboards Big Data 350

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. Big challenges, big rewards.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

Data Science 319

Data Science Data Lake Data mining Deep Learning 319

Smarten

MAY 20, 2019

The importance of data analysis cannot be overstated, but if the enterprise does not choose the right data analysis tool, it will not achieve its potential and it is likely to frustrate the business users who are now expected to participate in the analytical process.

Predictive Analytics 64

Predictive Analytics Data Science Analytics Visualization 64

Birst BI

OCTOBER 30, 2018

An analytics alternative that goes beyond descriptive analytics is called “Predictive Analytics.”. Predictive Analytics: Predicting Future Outcomes. While descriptive analytics are focused on historical performance, predictive analytics are about predicting future outcomes.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

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

Analytics Vidhya

JANUARY 11, 2021

Introduction Many times we wonder if predictive analytics has the. The post AlgoTrading using Technical Indicator and ML models appeared first on Analytics Vidhya. ArticleVideos This article was published as a part of the Data Science Blogathon.

Modeling 316

Modeling Predictive Analytics Data Science Publishing 316

Cloudera

JULY 18, 2018

To arrive at quality data, organizations are spending significant levels of effort on data integration, visualization, and deployment activities. Ember exploits FHIR beyond data exchange to empower interoperable analytics. Author: Ryan Swenson, Global Leader, Cloudera Healthcare and Life Sciences.

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 135

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 135

CIO Business Intelligence

APRIL 8, 2024

Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety. The great thing about the app is it’s very visual and it also has a reasonable amount of customization.”

Analytics 112

Analytics Broadcasting Predictive Analytics Metrics 112

Smart Data Collective

AUGUST 27, 2023

This data is then transformed into heat maps and visualizations, revealing crucial patterns in player positioning, running distances, and even fatigue levels. The Future of Football Analysis Predictive Analytics The next frontier in football analysis is predictive analytics.

Data Collection 82

Data Collection Broadcasting Data-driven Predictive Analytics 82

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

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

datapine

MARCH 8, 2021

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. This perfect storm of visual information ultimately makes healthcare institutions safer, more productive, and more intelligent.

Reporting 198

Reporting KPI Management Cost-Benefit 198

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

Smarten

JUNE 2, 2017

From reporting to visualised dashboard to predictive analytics. We know that by designing self-learning programs, we are in a position to provide prescriptive analytics. We know that by designing self-learning programs, we are in a position to provide prescriptive analytics. This was early predictive or was it?

Business Intelligence 40

Business Intelligence Visualization Prescriptive Analytics Predictive Analytics 40

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 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

datapine

FEBRUARY 25, 2022

From automated reporting, predictive analytics, and interactive data visualizations, reporting on data has never been easier. Drill down is an analytical practice that allows you to visualize granular levels of data in one chart. In general, data drills can be added to any chart or data visualization.

Reporting 173

Reporting Dashboards Visualization Interactive 173

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

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 132

Business Analytics Analytics Unstructured Data Data-driven 132

IBM Big Data Hub

JULY 25, 2018

Data science and machine learning provide the basis for business growth, cost and risk reduction and even new business model creation -- but implementing predictive analytics does present some challenges.

Data Science 51

Data Science Visualization Predictive Analytics Machine Learning 51

datapine

OCTOBER 11, 2023

Your Chance: Want to visualize & track warehouse KPIs with ease? Among the many strategies and technologies organizations use to keep these costs at a minimum, predictive analytics is one of the most effective ones. Your Chance: Want to visualize & track warehouse KPIs with ease?

Metrics 217

Metrics KPI Management Cost-Benefit 217

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. Whether the company needs a comprehensive financial analytics strategy or process, R has become one of the most used data science tools to explore and manage data. Let’s get started.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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

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 138

Machine Learning Forecasting Predictive Analytics Marketing 138

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

datapine

APRIL 13, 2021

By using online data visualization tools such as interactive dashboards you can tell a story with your data and extract advanced insights to support your work when presenting it to clients. This type of agency reporting tool enables you to simplify complex analytics processes and make predictions about possible developments in your data.

Dashboards 256

Dashboards Reporting Analytics Cost-Benefit 256

datapine

JUNE 5, 2019

Data dashboards provide a centralized, interactive means of monitoring, measuring, analyzing, and extracting a wealth of business insights from relevant datasets in several key areas while displaying aggregated information in a way that is both intuitive and visual. Lack of different data visualization types.

Dashboards 316

Dashboards KPI Sales Visualization 316

InsightOut

FEBRUARY 1, 2023

Data analytics are essential to the successful evolution of your growing business in today's modern world. Unfortunately, custom data visualization dashboards are usually out of budget and time-consuming to build or implement for mid-level companies. So, how do you keep spreadsheets from spreading your data too thin?

Data Analytics 52

Data Analytics Analytics Dashboards Visualization 52

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 141

Data mining Data-driven Statistics OLAP 141

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

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

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

Smart Data Collective

OCTOBER 11, 2023

It offers a wealth of tools and features that empower developers to craft responsive, interactive, and visually stunning user interfaces. However, more sophisticated developers are using Angular to create predictive analytics, computer vision technologies, real-time decision making and other advanced AI applications.

Machine Learning 97

Machine Learning Interactive Predictive Analytics Data-driven 97

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 6, 2024

Logi Symphony embeds self-service, end-to-end business intelligence and analytics (ABI) fused with artificial intelligence (AI) into any web-based application. We’re making the power of these analytically rich experiences accessible,” said Jay Allardyce, General Manager, Data & Analytics, insightsoftware.

Business Intelligence 59

Business Intelligence Marketing Data-driven Predictive Analytics 59