phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Much of what is discussed in this guide will assume some level of analytics strategy has been considered and/or defined.

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phData

SEPTEMBER 11, 2023

Row-level security is a powerful data governance capability across many business intelligence platforms, and Power BI is no exception. Learning how to implement row-level security is critical for any Power BI developer hoping to add an extra layer of security to their reports and datasets.

Power BI 101

Power BI Data Models Data Modeling Data Governance 101

Data Science Blog

NOVEMBER 15, 2023

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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Data Models Data Modeling Business Intelligence Business Intelligence 245

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.

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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.

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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.

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phData

OCTOBER 30, 2023

Additionally, we will provide a distinction between measures and calculated columns in data modeling and visualization. In Power BI , the measure is used to calculate aggregations and percentages or when you require a single value for a group of rows. The measure name must be unique throughout the entire model.

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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?

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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. Selecting the right alternative ensures efficient data-driven decision-making and aligns with your organisation’s goals and budget. What is Power BI?

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Pickl AI

SEPTEMBER 2, 2024

Summary: Counting rows is a fundamental task in Power BI that requires careful consideration. This blog explores how to get total number of rows in power query. Understanding Power BI and Its Importance Power BI is a suite of business analytics tools that allows users to analyze data and share insights.

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Power BI Data Analysis Data Analysis Data Modeling 52

Data Science Dojo

FEBRUARY 23, 2024

GPTs for Data science are the next step towards innovation in various data-related tasks. These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. Moreover, they can uncover new data insights and correlations that can go unnoticed otherwise.

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Data Science Data Analysis Data Analysis Machine Learning 342

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.

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Pickl AI

NOVEMBER 22, 2024

By presenting data visually, organisations can communicate insights more clearly and drive strategic decisions based on real-time analytics. Reveals hidden patterns and trends within large volumes of data. Supports predictive analytics to anticipate market trends and behaviours.

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Data Visualization Big Data Big Data Power BI 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?

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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. Many participants used beginner-friendly online interfaces, like NASA Worldview and Giovanni , to explore and manipulate data. He holds a B.S.

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Power BI Data Scientist Python Machine Learning 264

Smart Data Collective

NOVEMBER 24, 2020

The current BI trends show that in the future, the BI software will be more accessible, so that even non-techie workers will rely on data insights in their working routine. This shows why self-service BI is on the rise. Prescriptive Analytics. Automation & Augmented Analytics. SAP Lumira.

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Business Intelligence Business Intelligence Power BI Augmented Analytics 134

Data Science Dojo

FEBRUARY 23, 2024

GPTs for Data science are the next step towards innovation in various data-related tasks. These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. Other data science tasks include data preprocessing, visualization, and statistical analysis.

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Data Science Dojo

FEBRUARY 23, 2024

Other data science tasks include data preprocessing, visualization, and statistical analysis. 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.

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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.

Data Visualization 52

Data Visualization Power BI Data Models Data Modeling 52

Pickl AI

JANUARY 9, 2025

Key Takeaways Operations Analysts optimise efficiency through data-driven decision-making. Expertise in tools like Power BI, SQL, and Python is crucial. They leverage advanced analytics tools and software to analyse performance metrics, monitor trends, and create detailed reports.

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Pickl AI

JANUARY 15, 2025

According to a report by Gartner, organizations that utilize BI tools can improve their operational efficiency and gain competitive advantages over rivals. Furthermore, a study indicated that 71% of organisations consider Data Analytics a critical factor for enhancing their business performance.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

Pickl AI

MARCH 3, 2025

This blog will comprehensively explore the world of BI, dissecting what it is, the multifaceted responsibilities of a BI Analyst, and how to embark on this rewarding career path. Key Takeaways BI Analysts convert data into actionable insights for strategic business decisions. Cultivate attention to detail and accuracy.

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Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

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Business Intelligence Business Intelligence SQL Data Visualization 52

Dataconomy

MARCH 24, 2023

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.

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Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.

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Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

APRIL 10, 2023

The importance of SQL for Data Analysts is identified within organisations for understanding complex datasets and managing large volumes of data. The starting range for a SQL Data Analyst is $61,128 per annum. How SQL Important in Data Analytics?

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Data Analyst SQL Data Analysis Data Analysis 52

Pickl AI

JANUARY 28, 2025

A survey by Dresner Advisory Services found that 53% of organizations consider BI a critical component for business success. Research indicates that companies utilizing advanced analytics are 5 times more likely to make faster decisions than their competitors. Data Lakes: These store raw, unprocessed data in its original format.

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Business Intelligence Business Intelligence ETL Data Lakes 52

ODSC - Open Data Science

APRIL 6, 2023

But its status as the go-between for programming and data professionals isn’t its only power. Within SQL you can also filter data, aggregate it and create valuations, manipulate data, update it, and even do data modeling. One set of tools that are becoming more important in our data-driven world is BI tools.

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DataSeries

AUGUST 15, 2024

Mastering skills helps stay ahead with the current data landscape and prepare for future transformations. A data engineering career has become highly crucial due to the need for a harmonious interflow of technical prowess, analytical thinking, and problem-solving agility. Hadoop, Spark).

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Data Engineering Data Engineering Data Engineering Data Engineer 40

Pickl AI

AUGUST 9, 2024

Hierarchies align data modelling with business processes, making it easier to analyse data in a context that reflects real-world operations. Designing Hierarchies Designing effective hierarchies requires careful consideration of the business requirements and the data model.

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Data Warehouse Data Quality ETL Business Intelligence 52

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. Machine Learning Engineer Machine learning engineers will use data much differently than business analysts or data analysts.

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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

MAY 7, 2024

To transform raw data into actionable insights that illuminate the path towards informed decision-making. Enters: Tableau for Data Analyst. Tableau, a visual analytics platform that acts as a translator, transforming complex datasets into clear, compelling narratives. Their ultimate goal? This course prepares you for the future.

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Pickl AI

JULY 25, 2023

With expertise in Python, machine learning algorithms, and cloud platforms, machine learning engineers optimize models for efficiency, scalability, and maintenance. Together, data engineers, data scientists, and machine learning engineers form a cohesive team that drives innovation and success in data analytics and artificial intelligence.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

JUNE 12, 2023

Tableau is an interactive platform that enables users to analyse and visualise data to gain insights. Tableau also supports advanced statistical modeling through integration with statistical tools like R and Python. Accordingly, Tableau Data Scientist salary is generally more than those experts having specialisation in Power BI.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

Pickl AI

JULY 18, 2024

The healthcare industry uses MongoDB to manage patient records and genomic data, which requires flexibility and scalability. Furthermore, financial services rely on MongoDB for fraud detection and real-time analytics due to its powerful querying and indexing capabilities. 2024’s top Power BI interview questions simplified.

Database 52

Database SQL Data Analyst Database Administration 52

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. Each applications has its own data model.

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