phData

OCTOBER 2, 2023

Power BI is a business intelligence platform that allows businesses to share reports and datasets within the Power BI Service , the cloud environment of the tool. One method of creating efficiencies in Power BI is to centralize and share the datasets so they can be reused for more than just one report.

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Power BI Data Analyst Business Intelligence Business Intelligence 69

phData

SEPTEMBER 26, 2023

They’ve tried to do this with the existing report created with Power BI Desktop, and they can only see a small subset of the data from the table visualization when they export the report page as a PDF. In this blog post, we will introduce you to paginated reports in Power BI and show you how to create one using Power BI Report Builder.

Power BI 64

Power BI SQL Azure Database 64

Pickl AI

DECEMBER 16, 2024

Summary : Microsoft Fabric is an end-to-end Data Analytics platform designed for integration, processing, and advanced insights, while Power BI excels in creating interactive visualisations and reports. Key Takeaways Microsoft Fabric is a full-scale data platform, while Power BI focuses on visualising insights.

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Power BI Analytics Analytics Machine Learning 52

Dataconomy

MARCH 17, 2025

Natural Language Query (NLQ) is changing the way we interact with data analytics by allowing users to speak or type their questions in a way that feels natural and intuitive. Natural Language Query (NLQ) enables users to query databases using everyday language rather than specialized query languages like SQL.

Natural Language Processing 91

Natural Language Processing Power BI Analytics Analytics 91

Data Science Dojo

FEBRUARY 23, 2024

These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. GPTs for data science are useful in enhancing the accuracy and efficiency of complex analytical processes. Diagrams ⚡PRO BUILDER⚡ The Diagrams Pro Builder excels at visualizing codes and databases.

Data Science 363

Data Science Data Analysis Data Analysis Machine Learning 363

phData

SEPTEMBER 6, 2023

As businesses shift towards cloud-based solutions in data analytics and business intelligence, many forward-thinking organizations seek to leverage the latest and greatest of technologies to enhance their reporting capabilities. Step 1 Open Power BI Desktop and then click on Get Data to connect to SQL Server. Click on OK.

Power BI 64

Power BI SQL Business Intelligence Business Intelligence 64

Pickl AI

FEBRUARY 18, 2025

Summary: Power BI is a business analytics tool transforming data into actionable insights. Key features include AI-powered analytics, extensive data connectivity, customisation options, and robust data modelling. It offers AI-driven analytics, including Natural Language Processing. Why Power BI?

Power BI 52

Power BI Azure Business Intelligence Business Intelligence 52

Pickl AI

NOVEMBER 18, 2024

Summary: Power BI alternatives like Tableau, Qlik Sense, and Zoho Analytics provide businesses with tailored Data Analysis and Visualisation solutions. Introduction Power BI has become one of the most popular business intelligence (BI) tools, offering powerful Data Visualisation, reporting, and decision-making features.

Power BI 52

Power BI Tableau Data Analysis Data Analysis 52

ODSC - Open Data Science

JUNE 12, 2023

The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. Before we look into the Power BI Datamarts, let us take a step back and understand the meaning of a Datamart. What is Power BI Datamarts?

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Pickl AI

APRIL 9, 2023

In this blog, we will unfold the benefits of Power BI and key Power BI features , along with other details. What is Power BI? It is an analytical tool developed by Microsoft that enables the organization to visualise, and share insights from data. Here comes the role of Power BI.

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Power BI Business Intelligence Business Intelligence Cloud Computing 52

Dataconomy

MAY 10, 2023

It has revolutionized the way businesses approach data analytics by providing cost-effective and customizable solutions that are tailored to specific business needs. Look for BI software that can integrate data from different sources, such as databases, spreadsheets, and cloud services.

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Business Intelligence Business Intelligence Power BI Data Analysis 178

Pickl AI

MARCH 4, 2024

Summary: Power BI is a leading data analytics platform offering advanced features like real-time analytics and collaborative capabilities. Understanding its significance is vital for aspiring Power BI developers. Optimising Power BI reports for performance ensures efficient data analysis.

Power BI 52

Power BI Data Analysis Data Analysis Data Modeling 52

Pickl AI

NOVEMBER 5, 2024

Summary: Data Visualisation is crucial to ensure effective representation of insights tableau vs power bi are two popular tools for this. This article compares Tableau and Power BI, examining their features, pricing, and suitability for different organisations. What is Power BI? billion in 2023.

Power BI 52

Power BI Tableau Business Intelligence Business Intelligence 52

phData

AUGUST 25, 2023

As organizations embrace the power of self-service analytics and interactive dashboards, transitioning from SSRS to Power BI becomes an enticing and oftentimes necessary decision. The Power BI Service further enhances collaboration by enabling easy sharing and embedding reports in web pages and applications.

Power BI 52

Power BI SQL Data Governance Database 52

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Mlearning.ai

JULY 7, 2023

It is a website that acts like a file database or content management system. The problem may occur when you want to import an Excel file in SharePoint to Power BI. After that, paste the copied path in the URL in Power BI. Submission Suggestions Power BI tip: How to get data from an Excel file in SharePoint?

Power BI 52

Power BI Data Science ML ML 52

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

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. With databases, for example, choices may include NoSQL, HBase and MongoDB but its likely priorities may shift over time. In fact, there’s no escaping the increasing reliance on such technologies.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Pickl AI

NOVEMBER 22, 2024

By presenting data visually, organisations can communicate insights more clearly and drive strategic decisions based on real-time analytics. Supports predictive analytics to anticipate market trends and behaviours. Social Media Analytics Platforms like Facebook use Big Data visualization to analyse user engagement metrics.

Data Visualization 52

Data Visualization Big Data Big Data Power BI 52

How to Learn Machine Learning

APRIL 26, 2025

Data can be generated from databases, sensors, social media platforms, APIs, logs, and web scraping. Data can be in structured (like tables in databases), semi-structured (like XML or JSON), or unstructured (like text, audio, and images) form. Data Sources and Collection Everything in data science begins with data.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

phData

JULY 11, 2023

Power BI Datamarts is one of the most exciting features that Microsoft has released for the Power Platform in recent years. If you need high-level information on what a Power BI Datamart is and some example use cases, check out our other blog, What Are Power BI Datamarts?

Power BI 40

Power BI SQL Azure ETL 40

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

Data Science Dojo

FEBRUARY 23, 2024

Data science GPTs are useful in enhancing the accuracy and efficiency of complex analytical processes. Moreover, AI-powered tools can uncover new data insights and correlations that can go unnoticed otherwise. While you can upload files for analysis to this AI-powered tool, it also knowledge files.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

Data Science Dojo

MARCH 21, 2024

We all have faced problems when we interacted with large databases and numbers in tabular format. Using analytics to bring innovation What is unique about the term data visualization is its design, prerequisites, and features needed to be iterative and exceptional. Data visualization is the perfect solution to get over the headache.

Data Visualization 150

Data Visualization Power BI Tableau Database 150

Data Science Dojo

FEBRUARY 23, 2024

These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. GPTs for data science are useful in enhancing the accuracy and efficiency of complex analytical processes. While you can upload files for analysis to this AI-powered tool, it also knowledge files.

Data Science 195

Data Science Data Analysis Data Analysis Machine Learning 195

Dataconomy

JUNE 13, 2023

It leverages the power of technology to provide actionable insights and recommendations that support effective decision-making in complex business scenarios. At its core, decision intelligence involves collecting and integrating relevant data from various sources, such as databases, text documents, and APIs.

Power BI 103

Power BI Artificial Intelligence Artificial Intelligence Data Analysis 103

Data Science Dojo

MAY 18, 2023

Explore, analyze, and visualize data with our Introduction to Power BI training & make data-driven decisions. 2. However, in real-world data science jobs, data is typically stored in a database and accessed through either a business intelligence tool or SQL.

Data Science 195

Data Science AI AI SQL 195

Smart Data Collective

JULY 22, 2019

BI tools can help you gather information better and faster. They can be your 24/7 analytical team that does not practically need any maintenance. BI tools automate all your analytics for you so that you can spend all of those hours on first-priority tasks. Zoho Analytics. SAP Analytics Cloud.

Business Intelligence 103

Business Intelligence Business Intelligence Power BI Tableau 103

ODSC - Open Data Science

APRIL 3, 2023

As the sibling of data science, data analytics is still a hot field that garners significant interest. We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Mlearning.ai

MARCH 15, 2023

This article will serve as an ultimate guide to choosing between Data Science and Data Analytics. Some individuals are confused about the right path to choose between the two lucrative careers —  Data Science and Data Analytics. Familiarity with Databases; SQL for structured data, and NOSQL for unstructured data.

Data Science 52

Data Science Analytics Analytics Data Analyst 52

Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. Centralised access enhances teamwork and accelerates analytics projects.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Women in Big Data

DECEMBER 9, 2024

Introduction In the rapidly evolving landscape of data analytics, Business Intelligence (BI) tools have become indispensable for organizations seeking to leverage their big data stores for strategic decision-making. Looker focuses on providing user-friendly interfaces with an emphasis on collaboration and self-service analytics.

Big Data 52

Big Data Big Data Power BI Tableau 52

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

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

Dataconomy

JULY 28, 2023

Here are some of the best data preprocessing tools of 2023: Microsoft Power BI Tableau Trifacta Talend Toad Data Point Power Query Microsoft Power BI Microsoft Power BI is a comprehensive data preparation tool that allows users to create reports with multiple complex data sources.

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Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

APRIL 6, 2023

It’s a foundational skill for working with relational databases Just about every data scientist or analyst will have to work with relational databases in their careers. Another boon for efficient work that SQL provides is its simple and consistent syntax that allows for collaboration across multiple databases.

SQL 98

SQL Data Scientist Database Data Science 98