ElegantJ BI

SEPTEMBER 7, 2016

This article series is entitled ‘Debunking Common Business Intelligence Myths’ The information presented in this, the seventh article of the series, summarizes the myths and cuts through the confusion to help you choose the right BI tool for your business and business users. Debunking Common Business Intelligence Myths.

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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.

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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

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The BAWorld

MARCH 29, 2025

Ive come across many such scenarios where by leveraging AI, data analysts can now tackle complex problems more efficiently and with greater accuracy, revolutionizing the field of data analysis. In this article, we will explore the top AI tools for data analysis. demand spikes) using historical data.

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ElegantJ BI

JUNE 10, 2022

Self-Serve Business Intelligence that integrates data from disparate data sources and makes it available for mobile access. Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration.

Business Intelligence 130

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ElegantJ BI

JUNE 10, 2022

Self-Serve Business Intelligence that integrates data from disparate data sources and makes it available for mobile access. Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration.

Business Intelligence 130

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ElegantJ BI

JUNE 10, 2022

Self-Serve Business Intelligence that integrates data from disparate data sources and makes it available for mobile access. Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration. Smart Data Visualization.

Business Intelligence 130

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ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. This article provides a summary discussion of some of the important factors involved in the consideration of an advanced analytical solution implementation.

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ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. This article provides a summary discussion of some of the important factors involved in the consideration of an advanced analytical solution implementation.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. This article provides a summary discussion of some of the important factors involved in the consideration of an advanced analytical solution implementation.

Data Governance 130

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Data Pine

MAY 9, 2019

You can view business intelligence as an extremely powerful data discovery tool that is an extension of your fast thinking mind. However, for the purpose of this article, we will explain the 4 basic components within business intelligence: The data itself (raw data). The data warehouse. 1) The raw data.

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Data Pine

OCTOBER 17, 2019

By the end of this article, making stunning and useful managerial reports will be second nature to you. Managerial reports use a lot of the same data as financial reports, but presented in a more useful way, for example via interactive management dashboards. But before we get into the nitty-gritty, let’s give you a bit of background.

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Visualization Data Visualization Digital Real-time Data 105

Astera

MAY 30, 2024

Data analytics has several components: Data Aggregation : Collecting data from various sources. Data Mining : Sifting through data to find relevant information. Statistical Analysis : Using statistics to interpret data and identify trends. What are the 4 Types of Data Analytics?

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GAVS Technology

MARCH 18, 2024

This can be accomplished through data discovery, automated or semi-automated privacy impact assessments, and storing the data that has been discovered as structured data. Unstructured data is difficult to trace and handle and is where data breaches or security issues arise.

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Dataversity

FEBRUARY 5, 2021

Click to learn more about author Kartik Patel.

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Data Pine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 2) Data Discovery/Visualization.

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Data Pine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Mobile Analytics.

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Astera

AUGUST 28, 2024

Big data and the need for quickly analyzing large amounts of data have led to the development of various tools and platforms with a long list of features. However, with the abundance of different types of data analysis tools in the market, what was supposed to be a simple task has become a complex undertaking.

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ElegantJ BI

APRIL 28, 2022

In order to achieve data democratization and improve data literacy, the enterprise must understand its requirements, the current and desired business processes and its ability to provide and encourage augmented analytics solutions across the organization and to encourage the use of these solutions with cultural transition.

Data Discovery 130

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ElegantJ BI

APRIL 28, 2022

In order to achieve data democratization and improve data literacy, the enterprise must understand its requirements, the current and desired business processes and its ability to provide and encourage augmented analytics solutions across the organization and to encourage the use of these solutions with cultural transition.

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Insight Software

MAY 1, 2023

It also led to the development of new and different approaches to delivering analytics. New data discovery solutions now offer business analysts something better than Microsoft Excel—with minimal dependency on IT resources. Tradition BI has been a popular way for large businesses to launch their data analytics.

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