Dataconomy

MAY 26, 2025

Business analytics is a powerful enabler for organizations seeking to harness the quintessence of information to optimize performance and drive strategic initiatives. What is business analytics? AI integration: Employing artificial intelligence for automation in response to unexpected events.

Analytics 91

Analytics Analytics Data Analysis Data Analysis 91

phData

JUNE 13, 2023

When thinking about Power BI , the platform’s visuals and report side immediately come to mind. Data modeling in Power BI has a major impact on the performance of reports and should be considered a substantial learning milestone for new Power BI developers. Why Does Data Modeling Matter in Power BI?

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Power BI Data Modeling Data Models Data Warehouse 93

Dataconomy

JUNE 1, 2023

Microsoft has made good on its promise to deliver a simplified and more efficient Microsoft Fabric price model for its end-to-end platform designed for analytics and data workloads. Microsoft’s unified pricing model for the Fabric suite marks a significant advancement in the analytics and data market.

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Power BI Data Lakes Azure Data Silos 194

Data Science Blog

NOVEMBER 15, 2023

The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg. SAP ERP), the extraction of the data and, above all, the data modeling for the event log. The tip of the iceberg, which is visible above the surface of the water, is the actual visual process analysis.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

Data Science Blog

JULY 23, 2023

BI provides real-time data analysis and performance monitoring, while Data Science enables a deep dive into dependencies in data with data mining and automates decision making with predictive analytics and personalized customer experiences. It offers robust IoT and edge computing capabilities, advanced data analytics, and AI services.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Data Science Dojo

OCTOBER 31, 2024

Skills and Training Familiarity with ethical frameworks like the IEEE’s Ethically Aligned Design, combined with strong analytical and compliance skills, is essential. Strong analytical skills and the ability to work with large datasets are critical, as is familiarity with data modeling and ETL processes.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Flipboard

JUNE 9, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Python 155

Python Natural Language Processing Data Science Machine Learning 155

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. It’s for good reason too because automation and powerful machine learning tools can help extract insights that would otherwise be difficult to find even by skilled analysts.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

DrivenData Labs

MARCH 26, 2024

QGIS, Microsoft's Power BI, Tableau, and Jupyter notebooks also facilitated many interesting visualizations, particularly for solvers with less programming experience. Nicholas is a Cost Analyst with the Hunatek Professional Services Business Analytics Team, where he works on developing cost models and other analytical products.

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Power BI Data Scientist Python Machine Learning 264

Pickl AI

OCTOBER 17, 2024

Summary: Descriptive Analytics tools transform historical data into visual reports, helping businesses identify trends and improve decision-making. Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis. What is Descriptive Analytics?

Analytics 52

Analytics Analytics Power BI Tableau 52

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. Predictive Business Analytics. The Growing BI Analyst Shortage.

Business Intelligence 132

Business Intelligence Business Intelligence Predictive Analytics Natural Language Processing 132

AWS Machine Learning Blog

MARCH 8, 2023

This solution helps market analysts design and perform data-driven bidding strategies optimized for power asset profitability. In this post, you will learn how Marubeni is optimizing market decisions by using the broad set of AWS analytics and ML services, to build a robust and cost-effective Power Bid Optimization solution.

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Pickl AI

OCTOBER 15, 2024

Summary: Analytical capabilities are essential for transforming data into actionable insights. Businesses can improve decision-making, operational efficiency, and customer understanding by leveraging various analytics types, driving sustained growth and innovation.

Analytics 52

Analytics Analytics Predictive Analytics Machine Learning 52

Pickl AI

DECEMBER 6, 2024

Summary: Pricing Analytics can greatly enhance revenue and competitive positioning, yet its implementation is fraught with challenges. Addressing these challenges is crucial for businesses aiming to leverage Pricing Analytics effectively for optimal results. What is Pricing Analytics?

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

phData

FEBRUARY 9, 2023

Analytics can be a powerful tool in this process, helping manufacturers to identify trends, optimize processes, and make informed decisions. In this blog, we’ll take a closer look into how analytics can be useful in manufacturing. Quality Control One common use case for analytics in manufacturing is quality control.

Analytics 52

Analytics Analytics Power BI Data Warehouse 52

Pickl AI

FEBRUARY 19, 2025

Summary: The difference between Data Science and Data Analytics lies in their approachData Science uses AI and Machine Learning for predictions, while Data Analytics focuses on analysing past trends. Data Science requires advanced coding, whereas Data Analytics relies on statistical methods. What is Data Analytics?

Data Science 52

Data Science Analytics Analytics Machine Learning 52

Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Career Support Some bootcamps include job placement services like resume assistance, mock interviews, networking events, and partnerships with employers to aid in job placement.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Alation

MARCH 31, 2023

I’m talking about not just Walt Disney World, but also this year’s Gartner Data & Analytics Summit , which took place last month in Orlando at the landmark resort. The post Insights from Gartner Data & Analytics Summit Orlando 2023 appeared first on Alation.

Analytics 52

Analytics Analytics Data Governance Power BI 52

Data Science Dojo

MAY 25, 2023

Looking to take your data analytics and visualization to the next level? Check out this course and learn Power BI today! Additionally, the expense and harm to one’s reputation caused by a SaaS data event much outweigh anything invested in a SaaS-focused security posture.

Azure 195

Azure Power BI AWS Analytics 195

Pickl AI

MARCH 19, 2025

Apache Spark Apache Spark is a powerful data processing framework that efficiently handles Big Data. Apache Kafka Apache Kafka is a distributed event streaming platform used for real-time data processing. It is commonly used for analytics and business intelligence, helping organisations make data-driven decisions.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

OCTOBER 30, 2023

This involves considering aspects like: Ensuring data accuracy Emphasizing clarity and precision Incorporating a meaningful color palette Utilizing pre-attentive attributes effectively to guide viewer attention Meanwhile, Kaiser Fung’s Junk Charts Trifecta Checkup takes a more analytical approach to visualization. What does the data say?

Data Visualization 52

Data Visualization Power BI Business Intelligence Business Intelligence 52

Women in Big Data

MAY 20, 2024

These presentations cover fascinating practices for applying both soft and hard skills in the field of big data and analytics. There are beautiful pictures from the event and the recordings. This year, we introduced a new segment: “Failure Evening,” allowing participants to learn from the mistakes of others.

Power BI 52

Power BI Big Data Big Data Analytics 52

ODSC - Open Data Science

FEBRUARY 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. Interested in attending an ODSC event? Learn more about our upcoming events here.

Data Visualization 52

Data Visualization Power BI Tableau Data Science 52

ODSC - Open Data Science

FEBRUARY 6, 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. Interested in attending an ODSC event? Learn more about our upcoming events here.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Dataconomy

MARCH 24, 2023

Programming:  A BI professional should have knowledge of programming languages such as SQL, Python, or R, and be able to use them to extract data and perform advanced analytics. However, BI careers offer a competitive salary and a wide range of opportunities for growth and advancement.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

Programming:  A BI professional should have knowledge of programming languages such as SQL, Python, or R, and be able to use them to extract data and perform advanced analytics. However, BI careers offer a competitive salary and a wide range of opportunities for growth and advancement.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

ODSC - Open Data Science

APRIL 26, 2023

Because they are the most likely to communicate data insights, they’ll also need to know SQL, and visualization tools such as Power BI and Tableau as well. Some of the tools and techniques unique to business analysts are pivot tables, financial modeling in Excel, Power BI Dashboards for forecasting, and Tableau for similar purposes.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

AWS Machine Learning Blog

MAY 30, 2024

The company’s Data & Analytics team regularly receives client requests for unique reports, metrics, or insights, which require custom development. A user sends a question (NLQ) as a JSON event. OpenSearch is an open source, distributed search and analytics suite derived from Elasticsearch. If not, it continues to Step 3.

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AWS SQL Database AI 129

phData

OCTOBER 24, 2024

In this blog, I’ll share my experience attending, highlight some exciting awards, and unpack all the exciting updates from the event. Iceberg is the open-source format for analytics tables, and the industry is adopting this standard. BI Tool Integration: A new dbt Semantic Layer connection to Power BI is coming soon!

SQL 52

SQL Tableau Power BI Database 52

Pickl AI

AUGUST 11, 2024

Additionally, it addresses common challenges and offers practical solutions to ensure that fact tables are structured for optimal data quality and analytical performance. Introduction In today’s data-driven landscape, organisations are increasingly reliant on Data Analytics to inform decision-making and drive business strategies.

Data Quality 52

Data Quality Data Warehouse Data Governance Analytics 52

Pickl AI

FEBRUARY 27, 2024

The integration of finance and analytics creates a powerful combination that can help any organization thrive through the competition and emerge as a winner. Financial Analysts can leverage tools like Tableau, Power BI, or Excel to create visually compelling data representations, enabling stakeholders to grasp key insights at a glance.

Data Visualization 52

Data Visualization Data Analyst SQL Data Analysis 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. Effective visualisation relies on accurate analytics for meaningful representation.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

phData

DECEMBER 12, 2023

Another benefit of Fivetran is that data is normalized when it’s brought in, so it’s easy to create analytics-ready tables for your data team to work with. Step 2: Analyze the Data Once you have centralized your data, use a business intelligence tool like Sigma Computing , Power BI , Tableau , or another to craft analytics dashboards.

Data Warehouse 52

Data Warehouse Machine Learning Machine Learning Tableau 52

Pickl AI

AUGUST 9, 2024

It also addresses security, privacy concerns, and real-world applications across various industries, preparing students for careers in data analytics and fostering a deep understanding of Big Data’s impact. Velocity It indicates the speed at which data is generated and processed, necessitating real-time analytics capabilities.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

SEPTEMBER 5, 2024

As businesses increasingly turn to cloud solutions, Azure stands out as a leading platform for Data Science, offering powerful tools and services for advanced analytics and Machine Learning. Unified Data Services: Azure Synapse Analytics combines big data and data warehousing, offering a unified analytics experience.

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Azure Data Scientist Data Science Machine Learning 52

Pickl AI

FEBRUARY 6, 2025

Diagnostic Analysis : This method is used to understand the reasons behind specific trends or events. Some of the popular ones include: Excel : A basic yet powerful tool for organising and analysing data. Tableau and Power BI : Visual tools that help present data in interactive charts and dashboards. Valued at USD 41.05

Data Analysis 52

Data Analysis Data Analysis Data Quality Power BI 52