ElegantJ BI

MAY 13, 2020

Even the smallest businesses deal with a lot of data every day and, while they may feel that they don’t need analytics, this oversight can mean that they do not consider all the data they have when they make a decision or that they tend to make decisions based on opinion or ‘gut feel’.

Predictive Analytics 130

Predictive Analytics Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

JUNE 1, 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 182

Business Intelligence Business Intelligence Visualization Predictive Analytics 182

ElegantJ BI

SEPTEMBER 12, 2021

Business Intelligence tools include personalized dashboards to monitor and analyze and allow users to establish key performance indicators (KPIs), dive deep into data to discover the root cause of problems, and engender social business intelligence by sharing data and collaborating with other users.

Predictive Analytics 130

Predictive Analytics Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

SEPTEMBER 12, 2021

Business Intelligence tools include personalized dashboards to monitor and analyze and allow users to establish key performance indicators (KPIs), dive deep into data to discover the root cause of problems, and engender social business intelligence by sharing data and collaborating with other users.

Predictive Analytics 130

Predictive Analytics Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

SEPTEMBER 12, 2021

Business Intelligence tools include personalized dashboards to monitor and analyze and allow users to establish key performance indicators (KPIs), dive deep into data to discover the root cause of problems, and engender social business intelligence by sharing data and collaborating with other users.

Predictive Analytics 130

Predictive Analytics Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

MAY 13, 2020

Even the smallest businesses deal with a lot of data every day and, while they may feel that they don’t need analytics, this oversight can mean that they do not consider all the data they have when they make a decision or that they tend to make decisions based on opinion or ‘gut feel’.

Business Intelligence 130

Business Intelligence Business Intelligence Predictive Analytics Data Visualization 130

ElegantJ BI

MAY 13, 2020

Even the smallest businesses deal with a lot of data every day and, while they may feel that they don’t need analytics, this oversight can mean that they do not consider all the data they have when they make a decision or that they tend to make decisions based on opinion or ‘gut feel’.

Business Intelligence 130

Business Intelligence Business Intelligence Predictive Analytics Data Visualization 130

Astera

MAY 30, 2024

What Is Data Analytics? Data analytics is the science of analyzing raw data to draw conclusions about it. The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. Data Mining : Sifting through data to find relevant information.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

ElegantJ BI

JUNE 1, 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 130

Business Intelligence Business Intelligence Visualization Predictive Analytics 130

ElegantJ BI

JUNE 1, 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 130

Business Intelligence Business Intelligence Visualization Predictive Analytics 130

ElegantJ BI

JUNE 15, 2016

We had a great response, especially with our Advanced Data Discovery with self serve data prep, smart visualization and plug n’ play predictive analytics. Original Source – Gartner BI & Analytics Summit 2016: My Take The ElegantJ BI booth was REALLY BUSY.

Data Discovery 130

Data Discovery Predictive Analytics Business Intelligence Business Intelligence 130

ElegantJ BI

JUNE 15, 2016

We had a great response, especially with our Advanced Data Discovery with self serve data prep, smart visualization and plug n’ play predictive analytics. Original Source – Gartner BI & Analytics Summit 2016: My Take The ElegantJ BI booth was REALLY BUSY.

Data Discovery 130

Data Discovery Predictive Analytics Business Intelligence Business Intelligence 130

ElegantJ BI

JUNE 15, 2016

Kurt Schlegel discussed the next big disruption, ‘Self Serve Data Prep from Shadow IT to Citizen Data Science’ Rick Greenwald’s session was concise and to the point, ‘Spark: The Future of Data Analytics’ Unfortunately, Gartner Analyst, Rita Sallam , wasn’t able to attend, but I am anxious to attend her session in 2017!

Data Discovery 130

Data Discovery Predictive Analytics Business Intelligence Business Intelligence 130

ElegantJ BI

MAY 4, 2021

Your senior management team has decided to engender digital transformation and improve data literacy across the enterprise. The advantages of advanced analytics are numerous but a failure to launch, a failure to achieve user adoption will not help anyone!

Digital Transformation 130

Digital Transformation Data Visualization Visualization Business Intelligence 130

ElegantJ BI

MAY 4, 2021

Your senior management team has decided to engender digital transformation and improve data literacy across the enterprise. The advantages of advanced analytics are numerous but a failure to launch, a failure to achieve user adoption will not help anyone!

Digital Transformation 130

Digital Transformation Data Visualization Visualization Business Intelligence 130

The BAWorld

NOVEMBER 24, 2023

Data Analytics (DA) has evolved as a vital force in shaping the modern world, translating raw data into actionable insights that drive advancement in a wide range of sectors and industries. This indicates that descriptive analytics is focused with comprehending what has previously occurred.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Predictive Analytics 52

Analysts Corner

MARCH 7, 2023

Data scientists use a variety of techniques and tools to collect, analyze, and interpret data, and communicate their findings to stakeholders. Data science involves several steps, including data collection, data cleaning, data exploration, data modeling, and data visualization.

Supply Chain 130

Supply Chain Artificial Intelligence Data Visualization Logistics 130

ElegantJ BI

DECEMBER 13, 2020

Data Scientists Focus on Strategy, Citizen Data Scientists Deliver Daily! When Gartner talks about expanding data analytics to business users, they also talk about how the analytical tools must be suitable for business users.

Predictive Analytics 130

Predictive Analytics Visualization Data Analytics Data Analytics 130

ElegantJ BI

DECEMBER 13, 2020

Data Scientists Focus on Strategy, Citizen Data Scientists Deliver Daily! When Gartner talks about expanding data analytics to business users, they also talk about how the analytical tools must be suitable for business users.

Predictive Analytics 130

Predictive Analytics Visualization Data Analytics Data Analytics 130

BizAcuity

MAY 16, 2022

The more effectively a company uses data, the better it performs. As a data analytics company, we have been observing a trend among certain large enterprises who are looking for real-time data streaming for analytics. So much so that they can predict certain aspects about their customers with high accuracy.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Data Warehouse 130

Data Pine

MAY 14, 2019

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. Hands down one of the best books for data science. A must for any budding data scientist’s home library.

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

Astera

MAY 31, 2024

Data Science vs. Data Analytics Organizations increasingly use data to gain a competitive edge. Two key disciplines have emerged at the forefront of this approach: data science vs data analytics. In contrast, data science enables you to create data-driven algorithms to forecast future outcomes.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

ElegantJ BI

NOVEMBER 10, 2021

A fact-based, data-driven analytical approach will ensure that the business can identify and capitalize on business opportunities, plan for new products, optimize processes and resources and target customers, investments and locations that will help the business to achieve results.

Visualization 130

Visualization Data Governance Business Intelligence Business Intelligence 130

ElegantJ BI

NOVEMBER 10, 2021

A fact-based, data-driven analytical approach will ensure that the business can identify and capitalize on business opportunities, plan for new products, optimize processes and resources and target customers, investments and locations that will help the business to achieve results.

Visualization 130

Visualization Data Governance Business Intelligence Business Intelligence 130

ElegantJ BI

NOVEMBER 10, 2021

A fact-based, data-driven analytical approach will ensure that the business can identify and capitalize on business opportunities, plan for new products, optimize processes and resources and target customers, investments and locations that will help the business to achieve results.

Visualization 130

Visualization Data Governance Business Intelligence Business Intelligence 130

TIBCO

FEBRUARY 21, 2017

And that’s kind of where we’d got to with data analytics and visualization over the last couple of years, but it’s not the end of the evolutionary story by any means. Introducing the Insight Platform.

Data Analytics 45

Data Analytics Data Analytics Artificial Intelligence Digital Transformation 45

Sisense

AUGUST 22, 2019

These are the types of questions that take a customer to the next level of business intelligence — predictive analytics. . What’s been missing is a way to natively integrate Python and R with the rest of the data analytics stack. SQL, Python, and R on Periscope Data by Sisense.

Predictive Analytics 73

Predictive Analytics Data Warehouse Business Intelligence Business Intelligence 73

Data Pine

JUNE 5, 2019

To summarize, in the context of BI, data dashboards are used for: Deep-level insight: Drilling down deeper into key aspects of your business’s daily, weekly and monthly operation to create initiatives for increased efficiency. A data dashboard assists in 3 key business elements: strategy, planning, and analytics.

Logistics 126

Logistics Visualization Data Visualization Digital 126

Data Pine

MARCH 25, 2022

Well, what if you do care about the difference between business intelligence and data analytics? The most straightforward and useful difference between business intelligence and data analytics boils down to two factors: What direction in time are we facing; the past or the future?

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. Data Analytics Literacy MUST Exist at All Organizational Levels Finally, it is important to include data literacy considerations.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. Data Analytics Literacy MUST Exist at All Organizational Levels Finally, it is important to include data literacy considerations.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics. Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. Data Analytics Literacy MUST Exist at All Organizational Levels. Finally, it is important to include data literacy considerations.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Domo

MAY 6, 2022

With over 1,000 custom connectors, Domo is easily able to connect to disparate data sources and centralize data on a single platform with a single click. And with Domo’s predictive analytics capabilities, users can make data-informed decisions and get insights more quickly.

Data Discovery 52

Data Discovery Predictive Analytics Data Visualization Data Analytics 52

Data Pine

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.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Analysts Corner

OCTOBER 26, 2024

Loss of Control: When confronted with terms like “data governance,” some may feel as if they are losing authority over their work. Mistrust of Data: Not everyone is familiar with data analytics. This unfamiliarity can lead to skepticism regarding the reliability of data. They faced substantial pushback.

Data Governance 130

Data Governance Government Visualization Data Analytics 130

Sisense

JUNE 9, 2021

This is infused analytics at work: Wearable devices deliver data and insights directly to the coaches, enabling them to make decisions and transform teams’ performance without technical data expertise. These developments have added a whole new dimension to data analysis.

Predictive Analytics 98

Predictive Analytics Artificial Intelligence Real-time Data Visualization 98

Data Pine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110