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?

Power BI 52

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

Power BI 52

Power BI Tableau Data Analysis Data Analysis 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. This aspect can be applied well to Process Mining, hand in hand with BI and AI.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Pickl AI

JANUARY 15, 2025

Summary: Business Intelligence tools are software applications that help organizations collect, process, analyse, and visualize data from various sources. Introduction Business Intelligence (BI) tools are essential for organizations looking to harness data effectively and make informed decisions.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 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. Selecting the right one can seem daunting. You can also share insights across organizations.

Big Data 52

Big Data Big Data Power BI Tableau 52

Pickl AI

JANUARY 28, 2025

Summary: Understanding Business Intelligence Architecture is essential for organizations seeking to harness data effectively. This framework includes components like data sources, integration, storage, analysis, visualization, and information delivery. BI enhances decision-making through accurate and timely insights.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

Pickl AI

DECEMBER 2, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

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. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. Basic Business Intelligence Experience is a Must.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

How to Learn Machine Learning

APRIL 26, 2025

Data Storage and Management Once data have been collected from the sources, they must be secured and made accessible. The responsibilities of this phase can be handled with traditional databases (MySQL, PostgreSQL), cloud storage (AWS S3, Google Cloud Storage), and big data frameworks (Hadoop, Apache Spark).

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Pickl AI

APRIL 21, 2025

Introduction Data visualization is no longer just a niche skill; it’s a fundamental component of Data Analysis , business intelligence, and data science. I’ve also started learning and working with Tableau Public [or Power BI Desktop , Python libraries like Matplotlib/Seaborn , etc.

Data Visualization 52

Data Visualization Power BI Data Analysis Data Analysis 52

Smart Data Collective

JANUARY 27, 2020

The application of Artificial intelligence and Business Intelligence in affiliate marketing has been actively discussed for quite a time. In AI it refers to computer intelligence, while in BI it is about smart decision-making in business influenced by data analysis and visualization. billion by 2022.

AI 136

AI AI Business Intelligence Business Intelligence 136

Dataconomy

JULY 24, 2023

” Data visualization and communication It’s not enough to uncover insights from data; a data scientist must also communicate these insights effectively. This is where data visualization comes in. Tools like Tableau, Matplotlib, Seaborn, or Power BI can be incredibly helpful.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Dataconomy

JUNE 13, 2023

By analyzing market trends, customer behavior, and competitor activities, businesses can make well-informed choices that align with their growth goals and capitalize on market opportunities. From zero to BI hero: Launching your business intelligence career Optimal resource allocation is another key aspect of decision intelligence.

Power BI 103

Power BI Data Analysis Data Analysis Artificial Intelligence 103

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. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. How Did the Modern Data Stack Get Started? What Are the Benefits of a Modern Data Stack? Reverse ETL tools.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Pickl AI

JUNE 12, 2023

Tableau further has its own drawbacks in case of its use in Data Science considering it is a Data Analysis tool rather than a tool for Data Science. How Professionals Can Use Tableau for Data Science? Professionals can connect to various data sources, including databases, spreadsheets, and big data platforms.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

Pickl AI

APRIL 2, 2024

The Three Types of Data Science Data science isn’t a one-size-fits-all solution. There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Hadoop/Spark: Frameworks for distributed storage and processing of big data.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Pickl AI

DECEMBER 6, 2024

Price Optimization Software Tools like PROS or Vendavo use advanced algorithms to analyse historical sales data and predict optimal prices based on various factors such as demand elasticity and competitor actions.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

Pickl AI

OCTOBER 11, 2024

As data accumulates across various platforms and locations, it can lead to confusion regarding what data exists, where it is stored, and how it should be utilized. Data Quality Issues Maintaining high-quality data is a persistent challenge.

Data Quality 52

Data Quality Analytics Analytics Power BI 52

Pickl AI

FEBRUARY 19, 2025

Artificial Intelligence (AI): Enables machines to perform tasks that require human intelligence, such as recognising speech, translating languages, or driving autonomous cars. Big Data: Refers to vast sets of data that traditional tools cannot process; commonly used in industries like social media, e-commerce, and healthcare.

Data Science 52

Data Science Analytics Analytics Machine Learning 52

Pickl AI

APRIL 26, 2024

A data warehouse is a centralised repository that consolidates data from various sources for reporting and analysis. It is essential to provide a unified data view and enable business intelligence and analytics. Industry-specific Tools and Technologies Questions Are you familiar with any data visualisation tools?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre. In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Pickl AI

MARCH 19, 2025

It is ideal for handling unstructured or semi-structured data, making it perfect for modern applications that require scalability and fast access. Apache Spark Apache Spark is a powerful data processing framework that efficiently handles Big Data. The global Big Data and data engineering market, valued at $75.55

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Data Engineer Data Engineering Data Engineering Data Engineering 52