ElegantJ BI

JULY 7, 2016

Graph Engine: A new graph engine for superior performance and visualization effects. This enhancement further enables crisp, clear visualization and supports the concept of Smart Visualization. GeoMaps: The GeoMaps component supports worldwide GeoMaps visualization. Here are just some of the highlights of version 4.3

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Logistics 130

Smart Data Collective

MARCH 22, 2019

This is especially important for marketers trying to reach customers in other regions of the world, due to the logistics of getting the website to load quickly. Here are some ways that new predictive analytics and machine learning solutions are solving this dilemma. Globalism has taken the Internet marketing profession by storm.

Big Data 167

Big Data E-Commerce Logistics Predictive Analytics 167

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. As a result, finance, logistics, healthcare, entertainment media, casino and ecommerce industries witness the most AI implementation and development. AI in Supply chain and Logistics.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

Analysts Corner

MARCH 7, 2023

Data science involves several steps, including data collection, data cleaning, data exploration, data modeling, and data visualization. In the context of business analytics, data science plays a critical role in helping businesses make data-driven decisions. How are machine learning and data science used in business analytics?

Supply Chain 130

Supply Chain Artificial Intelligence Data Visualization Logistics 130

ElegantJ BI

MAY 20, 2016

ElegantJ BI has created a clear roadmap toward ‘Smart Data Discovery’ that promotes self-serve data preparation, smart visualization, and Plug n’ Play predictive analytics , to put the power of BI tools in the hands of business users to transform them into citizen data scientists.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Logistics 130

ElegantJ BI

MAY 20, 2016

ElegantJ BI has created a clear roadmap toward ‘Smart Data Discovery’ that promotes self-serve data preparation, smart visualization, and Plug n’ Play predictive analytics , to put the power of BI tools in the hands of business users to transform them into citizen data scientists.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Logistics 130

ElegantJ BI

MAY 20, 2016

ElegantJ BI has created a clear roadmap toward ‘Smart Data Discovery’ that promotes self-serve data preparation, smart visualization, and Plug n’ Play predictive analytics , to put the power of BI tools in the hands of business users to transform them into citizen data scientists.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Logistics 130

ElegantJ BI

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools.

Logistics 130

Logistics Data Discovery Predictive Analytics Business Intelligence 130

Analysts Corner

AUGUST 20, 2023

Leveraging Data, Statistics, and Probability in Business Analytics: A Modern Approach for Transforming Information into Actionable Insights In the age of information, businesses have access to more data than ever before. These use statistical and probability models to predict future events, classify data, and even make recommendations.

Supply Chain 130

Supply Chain Predictive Analytics Retail Artificial Intelligence 130

ElegantJ BI

MARCH 6, 2016

The solution targets business user empowerment with self-serve deep dive analytics, rather than limiting users to static package dashboards.

Business Intelligence 130

Business Intelligence Business Intelligence Logistics Data Discovery 130

Analysts Corner

OCTOBER 26, 2023

Data Analysis: The data analysis component of BI involves the use of various tools and techniques to explore, analyze, and visualize the data, enabling users to derive valuable insights and make informed decisions.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

ElegantJ BI

JUNE 13, 2017

A lot of folks in middle management in finance, sales and logistics think that this is not about them. Smarten , our analytics engine includes a new component in the coming release. And quite a few of the Area sales managers in the insurance segment or FMCG feel far and distant from this event. It is precisely about them.

Banking 195

Banking Logistics Finance Planning 195

Data Pine

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.

Logistics 126

Logistics Visualization Data Visualization Digital 126

ElegantJ BI

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools.

Logistics 130

Logistics Data Discovery Business Analysis Business Analysis 130

ElegantJ BI

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools.

Logistics 130

Logistics Data Discovery Business Analysis Business Analysis 130

ElegantJ BI

MARCH 6, 2016

The solution targets business user empowerment with self-serve deep dive analytics, rather than limiting users to static package dashboards.

Business Intelligence 100

Business Intelligence Business Intelligence Logistics Data Discovery 100

ElegantJ BI

MARCH 6, 2016

The solution targets business user empowerment with self-serve deep dive analytics, rather than limiting users to static package dashboards.

Business Intelligence 100

Business Intelligence Business Intelligence Logistics Data Discovery 100

ElegantJ BI

MARCH 6, 2016

The solution targets business user empowerment with self-serve deep dive analytics, rather than limiting users to static package dashboards.

Business Intelligence 100

Business Intelligence Business Intelligence Logistics Data Discovery 100

ElegantJ BI

MARCH 6, 2016

The solution targets business user empowerment with self-serve deep dive analytics, rather than limiting users to static package dashboards.

Business Intelligence 100

Business Intelligence Business Intelligence Logistics Data Discovery 100

ElegantJ BI

MARCH 6, 2016

The solution targets business user empowerment with self-serve deep dive analytics, rather than limiting users to static package dashboards.

Business Intelligence 100

Business Intelligence Business Intelligence Logistics Data Discovery 100

Marutitech

JUNE 30, 2022

You can then visualize the data structure as a multidimensional map in which groups of entities form clusters of a different kind. For example, you can improve the results for logistic regression by performing operations on smaller clusters that behave differently and follow different distributions. Easy Operation. Internal Validation.

Predictive Analytics 52

Predictive Analytics Data Mining Logistics Vision 52

ElegantJ BI

JUNE 13, 2017

A lot of folks in middle management in finance, sales and logistics think that this is not about them. Smarten , our analytics engine includes a new component in the coming release. And quite a few of the Area sales managers in the insurance segment or FMCG feel far and distant from this event. It is precisely about them.

Banking 130

Banking Logistics Finance Planning 130

ElegantJ BI

JUNE 13, 2017

A lot of folks in middle management in finance, sales and logistics think that this is not about them. Smarten , our analytics engine includes a new component in the coming release. And quite a few of the Area sales managers in the insurance segment or FMCG feel far and distant from this event. It is precisely about them.

Banking 130

Banking Logistics Finance Planning 130

Sisense

JULY 22, 2020

The data takes many formats and covers all areas of the organization’s business (sales, marketing, payroll, production, logistics, etc.) Now, developers pick up the baton and they create dashboards so that business users can easily visualize data and discover insights specific to their needs. Building dashboards and widgets.

Digital Transformation 98

Digital Transformation Data Warehouse IBM Support IBM cost 98

Sisense

MARCH 27, 2019

Real time business intelligence is the use of analytics and other data processing tools to give companies access to the most recent, relevant data and visualizations. To provide real-time data, these platforms use smart data storage solutions such as Redshift data warehouses , visualizations, and ad hoc analytics tools.

Business Intelligence 74

Business Intelligence Business Intelligence Data Warehouse Supply Chain 74

Data Pine

OCTOBER 11, 2023

This is no different in the logistics industry, where warehouse managers track a range of KPIs that help them efficiently manage inventory, transportation, employee safety, and order fulfillment, among others. Your Chance: Want to visualize & track warehouse KPIs with ease? Let’s look at some examples below.

Logistics 86

Logistics Visualization Monitoring Predictive Analytics 86

Tableau

MARCH 23, 2022

With these critical elements in place, people are better equipped to address compelling data and analytics use cases—and therefore build value for their customers and stakeholders—with visualizations, reports, or dashboards that help solve specific business challenges and answer immediate questions. Enable self-service analytics.

Monitoring 98

Monitoring Visualization Logistics Predictive Analytics 98

Data Pine

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. 2) The data warehouse.

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

Data Pine

JANUARY 18, 2023

With this information in hand, businesses can build strategies based on analytical evidence and not simple intuition. With the use of the right BI reporting tool businesses can generate various types of analytical reports that include accurate forecasts via predictive analytics technologies.

Procurement 80

Procurement Logistics Retail Visualization 80

Data Pine

JANUARY 21, 2020

One additional element to consider is visualizing data. Since humans process visual information 60.000 times faster than text , the workflow can be significantly increased by utilizing smart intelligence in the form of interactive, and real-time visual data. Implementation in any industry or department. It doesn’t stop here.

Business Intelligence 103

Business Intelligence Business Intelligence Procurement Visualization 103

Data Pine

JANUARY 31, 2022

BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was.

Business Intelligence 85

Business Intelligence Business Intelligence Data Analytics Data Analytics 85

Astera

MAY 30, 2024

Predictive Analytics : Employing models to forecast future trends based on historical data. Data Visualization : Presenting data visually to make the analysis understandable to stakeholders. These steps help organizations make informed decisions based on data-driven evidence, optimize operations and predict future trends.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Tableau

MARCH 23, 2022

With these critical elements in place, people are better equipped to address compelling data and analytics use cases—and therefore build value for their customers and stakeholders—with visualizations, reports, or dashboards that help solve specific business challenges and answer immediate questions. Enable self-service analytics.

Monitoring 62

Monitoring Visualization Logistics Predictive Analytics 62

Astera

AUGUST 5, 2024

Moreover, business data analytics enables companies to personalize marketing strategies and refine product offerings based on customer preferences, fostering stronger customer relationships and loyalty. There are many types of business analytics. Business Analytics is a specialized part of BI that goes beyond historical analysis.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

The BAWorld

MAY 14, 2024

Prescriptive Analytics – This analytics prescribes the data to take corrective measures to make progress or avoid a particular event in future. Predictive Analytics – It uses Machine Learning models to predict future trends, events and outcomes. This will help in assessing opportunities to improve.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Visualization 52

The BAWorld

NOVEMBER 22, 2021

A dashboard is a collection of multiple visualizations in data analytics terms that provide an overall picture of the analysis. Also, see data visualization. Data Analytics. Data analytics is the science of examining raw data to determine valuable insights and draw conclusions for creating better business outcomes.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Astera

MAY 31, 2024

Data science covers the complete data lifecycle: from collection and cleaning to analysis and visualization. Data scientists use various tools and methods, such as machine learning, predictive modeling, and deep learning, to reveal concealed patterns and make predictions based on data.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52