Dataconomy

MARCH 5, 2025

Descriptive analytics is a fascinating area of data analytics that allows businesses to look back and glean insights from their historical data. By summarizing past events and performance metrics, organizations can understand trends, patterns, and behaviors that shape their decision-making processes.

Analytics 91

Analytics Analytics Predictive Analytics Data Wrangling 91

ODSC - Open Data Science

OCTOBER 30, 2023

In the digital era, data visualization stands as an indispensable tool in the realm of business intelligence. It represents the graphical display of data and information, transforming complex datasets into intuitive and understandable visuals.

Data Visualization 52

Data Visualization Power BI Business Intelligence Business Intelligence 52

Tableau

MARCH 19, 2024

Countless hours vizzing, a standout Tableau Public profile , and a graduate degree later, Karolina reflects on her data journey and what led her to her current role as a Business Intelligence Analyst at Schneider Electric. I already had some interest in data visualization, I just didn't know where to start.

Tableau 131

Tableau Data Visualization Business Intelligence Business Intelligence 131

ODSC - Open Data Science

FEBRUARY 19, 2024

In the world of data visualization , the ability to produce material that can speak to your audience, regardless of their technical expertise, is an ever-important factor to consider. Tableau Public Tableau Public , a powerful data visualization software, empowers users to create interactive and shareable dashboards with ease.

Data Visualization 52

Data Visualization Power BI Tableau Data Science 52

Pickl AI

APRIL 3, 2025

Summary: Data Analysis focuses on extracting meaningful insights from raw data using statistical and analytical methods, while data visualization transforms these insights into visual formats like graphs and charts for better comprehension. Deep Dive: What is Data Visualization?

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

Dataconomy

MAY 16, 2025

Importance of advanced analytics In today’s data-driven world, the ability to interpret vast quantities of information is vital for success. Advanced analytics equips organizations with tools to tackle intricate business challenges that standard business intelligence (BI) tools may not effectively address.

Analytics 91

Analytics Analytics Big Data Analytics Big Data Analytics 91

Tableau

JANUARY 24, 2023

Gandes Goldestan Business Intelligence Analyst Jabar Digital Service Sarah Molina January 24, 2023 - 8:29pm January 25, 2023 Tableau plays a huge role in helping users get to insights quickly while telling impactful stories using their data. All visualizations were published on Tableau Public.

Tableau 101

Tableau Data Visualization Business Intelligence Business Intelligence 101

Tableau

SEPTEMBER 15, 2022

You’ll find them talking about topics like Data Culture, Business Intelligence, Data Skills, and more. Being a Tableau Ambassador allows me to help others learn Tableau and empower them with analytics and data visualization skills. Gurpreet Singh, Sydney, New South Wales, Australia.

Tableau 102

Tableau Data Visualization Analytics Analytics 102

Tableau

JANUARY 24, 2023

Gandes Goldestan Business Intelligence Analyst Jabar Digital Service Sarah Molina January 24, 2023 - 8:29pm January 25, 2023 Tableau plays a huge role in helping users get to insights quickly while telling impactful stories using their data. All visualizations were published on Tableau Public.

Tableau 93

Tableau Data Visualization Business Intelligence Business Intelligence 93

ODSC - Open Data Science

FEBRUARY 13, 2025

Using a step-by-step approach, he demonstrated how to integrate AI models with structured databases, enabling automated insights generation, query execution, and data visualization. Attendees left with a clear understanding of how AI can enhance data analysis workflows and improve decision-making in business intelligence applications.

AI 52

AI AI Data Analyst Database 52

ODSC - Open Data Science

FEBRUARY 6, 2024

Each platform offers unique features and benefits, making it vital for data engineers to understand their differences. These tools provide scalability and ease of use, making them ideal for enterprises that require robust data processing capabilities. Interested in attending an ODSC event?

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Flipboard

MAY 5, 2025

Log and Event Analytics: Index, store, and analyze logs from cloud applications, security monitoring tools, and observability platforms to detect trends and troubleshoot issues. Business Intelligence and Data Visualization: Uses OpenSearch Dashboards to explore, analyze, and visualize structured and unstructured data in real time.

AWS 119

AWS Clustering Deep Learning Deep Learning 119

Smart Data Collective

MAY 20, 2021

You will be listening to the requirements of the clients, combining this with the data, and matching them up with the most appropriate solutions. Business analysts are concerned with looking at data and events, making sure negative events do not occur again and choosing and implementing solutions to ensure that this is the case.

Analytics 134

Analytics Analytics Tableau Data Scientist 134

ODSC - Open Data Science

JANUARY 19, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. Improved Analytics Gut feelings are great, but data-driven insights are better.

Data Science 52

Data Science Machine Learning Machine Learning Analytics 52

Pickl AI

MARCH 19, 2025

Apache Spark Apache Spark is a powerful data processing framework that efficiently handles Big Data. It supports batch processing and real-time streaming, making it a go-to tool for data engineers working with large datasets. Apache Kafka Apache Kafka is a distributed event streaming platform used for real-time data processing.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

AWS Machine Learning Blog

APRIL 12, 2023

Traditional maintenance activities rely on a sizable workforce distributed across key locations along the BHS dispatched by operators in the event of an operational fault. Lookout for Equipment lets you configure a scheduler that wakes up regularly (for example, every hour) to send fresh data to the trained model and collect the results.

AWS 117

AWS ML ML Machine Learning 117

Tableau

JULY 19, 2021

Organizations that rely on data analysis to make decisions have a significant competitive advantage in overcoming challenges and planning for the future. And yet data access and the skills required to understand the data are, in many organizations, restricted to business intelligence teams and IT specialists.

Tableau 98

Tableau Data Analysis Data Analysis Business Intelligence 98

Precisely

OCTOBER 19, 2023

That’s why using location to analyze your business data just makes sense. Leveraging data visualizations can reveal hidden patterns and relationships that move users from “what happened” to “how,” “why,” and “in what context.” This all leads to better insights and decision-making.

Analytics 64

Analytics Analytics Data Silos Data Visualization 64

Dataconomy

JULY 25, 2023

It combines techniques from mathematics, statistics, computer science, and domain expertise to analyze data, draw conclusions, and forecast future trends. Data scientists use a combination of programming languages (Python, R, etc.), This diversity allows individuals to find a niche that aligns with their passions and expertise.

Data Science 91

Data Science Data Scientist Machine Learning Machine Learning 91

Pickl AI

JUNE 25, 2023

Descriptive Analytics Descriptive analytics focuses on summarizing historical data to gain a better understanding of past events and trends. ” This type of analytics uses various techniques, such as data aggregation, data visualization , and statistical analysis to provide a comprehensive overview of business performance.

Analytics 52

Analytics Analytics Predictive Analytics Machine Learning 52

Tableau

SEPTEMBER 14, 2022

You’ll find them talking about topics like Data Culture, Business Intelligence, Data Skills, and more. Being a Tableau Ambassador allows me to help others learn Tableau and empower them with analytics and data visualization skills. Gurpreet Singh, Sydney, New South Wales, Australia.

Tableau 52

Tableau Data Visualization Analytics Analytics 52

Tableau

SEPTEMBER 14, 2022

You’ll find them talking about topics like Data Culture, Business Intelligence, Data Skills, and more. Being a Tableau Ambassador allows me to help others learn Tableau and empower them with analytics and data visualization skills. Gurpreet Singh, Sydney, New South Wales, Australia.

Tableau 52

Tableau Data Visualization Analytics Analytics 52

Tableau

DECEMBER 1, 2021

Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008. Release v1.0 IPO in 2013.

Tableau 145

Tableau ML ML Database 145

ODSC - Open Data Science

APRIL 6, 2023

Here’s How You Can Spend Your Week Across the week of ODSC East 2023, you can attend training sessions, networking events, and more. Check out a few of them here. Final ODSC East 2023 Schedule Released! Check out some more highlights in the full schedule here!

Data Science 52

Data Science AI AI Machine Learning 52

Tableau

DECEMBER 1, 2021

Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008. Release v1.0 IPO in 2013.

Tableau 98

Tableau ML ML Database 98

Tableau

JULY 19, 2021

Organizations that rely on data analysis to make decisions have a significant competitive advantage in overcoming challenges and planning for the future. And yet data access and the skills required to understand the data are, in many organizations, restricted to business intelligence teams and IT specialists.

Tableau 52

Tableau Data Analysis Data Analysis Business Intelligence 52

Cambridge Intelligence

OCTOBER 19, 2023

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. OLTP is the best fit for fraud detection, identity and access management or supply chains – use cases where data is constantly changing, with information getting added, removed and modified in real time.

Database 59

Database Azure Analytics Analytics 59

Mlearning.ai

MAY 23, 2023

Once the exploratory steps are completed, the cleansed data is subjected to various algorithms like predictive analysis, regression, text mining, recognition patterns, etc depending on the requirements. In the final stage, the results are communicated to the business in a visually appealing manner. They are called Type I errors.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52