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. Supports diverse data sources: Excel, SQL Server, Azure, and more. Why Power BI?

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Dataconomy

MARCH 17, 2025

Natural Language Query (NLQ) enables users to query databases using everyday language rather than specialized query languages like SQL. By simplifying the querying process, NLQ allows for quicker and more efficient information retrieval. What is Natural Language Query (NLQ)?

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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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Pickl AI

DECEMBER 30, 2024

Summary: This guide covers visualising KPI in Power BI, from setting up the tool and preparing data to selecting the right visuals and enhancing dashboards. KPIs help organisations track progress toward their goals, assess performance, and make informed decisions. Excel or SQL Server).

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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

MARCH 10, 2025

Summary: Power BI is a business intelligence tool that transforms raw data into actionable insights. Power BI enhances decision-making by providing interactive dashboards and reports that are accessible to both technical and non-technical users. What Is Power BI?

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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. Introduction Power BI has become one of the most popular business intelligence (BI) tools, offering powerful Data Visualisation, reporting, and decision-making features.

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ODSC - Open Data Science

APRIL 6, 2023

For budding data scientists and data analysts, there are mountains of information about why you should learn R over Python and the other way around. Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL.

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Data Science Dojo

AUGUST 16, 2024

These models process vast amounts of text data to learn language patterns, enabling them to respond to queries, summarize information, or even generate complex SQL queries based on natural language inputs. Generative AI for Data Analytics – Top 7 Tools to Leverage 1.

Analytics 195

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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.

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Pickl AI

AUGUST 28, 2023

Power BI Heatmap: Heatmap in Power BI refers to the type of custom visualisation that businesses analysts utilise for showcasing the relationship between two variables on a map in different colour patches. It helps the user in visualising the patterns which are hidden and observe the changes across each axis.

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Dataconomy

MARCH 5, 2025

Data scientists play a crucial role in today’s data-driven world, where extracting meaningful insights from vast amounts of information is key to organizational success. They are adept at managing large datasets, utilizing various tools to extract valuable information, and turning that data into strategic business solutions.

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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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phData

JULY 14, 2023

Power BI is a versatile and scalable platform that combines self-service and enterprise business intelligence (BI) capabilities. Data Analysis Expressions (DAX) is the formula expression language employed in Power BI. What is the SWITCH Function? How is the SWITCH Function Different From the IF Statement?

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How to Learn Machine Learning

APRIL 26, 2025

The processes of SQL, Python scripts, and web scraping libraries such as BeautifulSoup or Scrapy are used for carrying out the data collection. Visualization libraries available in Python such as Matplotlib and Seaborn, and tools like Tableau and Power BI become crucial to telling stories that lead to insights.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 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. It is therefore hardly surprising that some process mining tools are actually just a plugin for Power BI, Tableau or Qlik.

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Data Models Data Modeling Business Intelligence Business Intelligence 245

Pickl AI

APRIL 10, 2023

SQL or Structured Query Language has a significant role to play in conducting practical Data Analysis. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources.

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Pickl AI

DECEMBER 25, 2024

Business Analytics involves leveraging data to uncover meaningful insights and support informed decision-making. Dashboards, such as those built using Tableau or Power BI , provide real-time visualizations that help track key performance indicators (KPIs). What is Business Analytics?

Data Science 52

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Smart Data Collective

JULY 22, 2019

Big or small, every business needs good tools to analyze data and develop the most suitable business strategy based on the information they get. BI tools can help you gather information better and faster. Microsoft Power BI. You can start using the service for free and switch to a Power BI Pro for $9.99

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Pickl AI

NOVEMBER 18, 2024

A Data Analyst collects, processes, and interprets data to help organisations make informed decisions. Software like Microsoft Excel and SQL helps them manipulate and query data efficiently. They use data visualisation tools like Tableau and Power BI to create compelling reports. Who is a Data Analyst?

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Pickl AI

MARCH 19, 2025

Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Python, SQL, and Apache Spark are essential for data engineering workflows. Without data engineering , companies would struggle to analyse information and make informed decisions. What Does a Data Engineer Do?

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Dataconomy

JULY 24, 2023

To put it another way, a data scientist turns raw data into meaningful information using various techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. Have you ever wondered, “How to become a data scientist and harness the power of data?

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Data Scientist Data Science Data Analyst Machine Learning 172

Dataconomy

JULY 28, 2023

By analyzing the sentiment of users towards certain products, services, or topics, sentiment analysis provides valuable insights that empower businesses and organizations to make informed decisions, gauge public opinion, and improve customer experiences. Noise in data can arise due to data collection errors, system glitches, or human errors.

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Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

AWS Machine Learning Blog

MAY 30, 2024

The prompts are managed through Lambda functions to use OpenSearch Service and Anthropic Claude 2 on Amazon Bedrock to search the client’s database and generate an appropriate response to the client’s business analysis, including the response in plain English, the reasoning, and the SQL code.

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Women in Big Data

DECEMBER 9, 2024

These tools transform raw data into meaningful insights, helping businesses understand trends, monitor performance, and make informed decisions. There is a plethora of BI tools available in the market today, with new ones being added yearly. Examples include SQl, DWH, and Cloud based systems (Google Bigquery).

Big Data 52

Big Data Big Data Power BI Tableau 52

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.

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Pickl AI

MARCH 3, 2025

Key skills include SQL, data visualization, and business acumen. From customer interactions to market trends, every aspect of business generates a wealth of information. Key Takeaways BI Analysts convert data into actionable insights for strategic business decisions. What Programming Languages Are Useful for A BI Analyst?

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Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Pickl AI

OCTOBER 17, 2024

Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis. It is crucial in helping businesses understand past performance and make informed decisions. Descriptive Analytics analyses historical data to identify patterns, trends, and insights that inform decision-making.

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Analytics Analytics Power BI Tableau 52

Pickl AI

JULY 3, 2023

Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. Based on the report of Zion Research, the global market of Business Intelligence rose from $16.33

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Business Intelligence Business Intelligence SQL Data Visualization 52

Smart Data Collective

MAY 20, 2019

How will we manage all this information? The popular tools, on the other hand, include Power BI, ETL, IBM Db2, and Teradata. SQL programming skills, specific tool experience — Tableau for example — and problem-solving are just a handful of examples. What will our digital future look like? Specialization of Job Roles.

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Analytics Analytics Data Analyst Machine Learning 111

IBM Journey to AI blog

SEPTEMBER 19, 2023

Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text. To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI.

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Mlearning.ai

MARCH 15, 2023

Data is a collection of discrete values that convey information, describing quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted. —  Wikipedia Data could be statistical, financial, scientific, cultural, geographical, transport, natural, or meteorological.

Data Science 52

Data Science Analytics Analytics Data Analyst 52

phData

JANUARY 18, 2023

Supported by years of experience managing Alteryx Servers for small, medium, and large companies, we understand the recurring pain points and key data points that help form a complete and supported analytics product—all with the importance of presenting that data in an interactive, insightful, and visual way with a Tableau or Power BI Dashboard.

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Pickl AI

FEBRUARY 20, 2025

Introduction In today’s data-driven world, both Business Analysts and Data Analysts are essential in helping organisations make well-informed decisions. As industries rely more on data to inform strategies, these roles have become indispensable for analysing trends, improving operations, and fostering growth. Tableau, Power BI).

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Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

FEBRUARY 29, 2024

Ultimately, Data Blending in Tableau fosters a deeper understanding of data dynamics and drives informed strategic actions. Data Blending is a technique used in data analysis to combine information from multiple datasets into a single unified view. What is Data Blending in tableau with an example?

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Tableau Power BI Data Analysis Data Analysis 52

phData

OCTOBER 24, 2024

BI Tool Integration: A new dbt Semantic Layer connection to Power BI is coming soon! Again, for the category, we have two major announcements: Visual Low-Code Editor: An intuitive, visual drag-and-drop interface (currently in private beta) that allows you to create dbt models without writing SQL.

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