Data Analysis, Data Modeling and Predictive Analytics

Data Analysis

Data Modeling

Predictive Analytics

Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining.

Data Science

Data Science Azure Power BI Business Intelligence

Object-centric Process Mining on Data Mesh Architectures

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.

Data Modeling

Data Modeling Data Models Business Intelligence Business Intelligence

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Trending Sources

Why Python is Essential for Data Analysis

Pickl AI

AUGUST 27, 2024

Summary: Python simplicity, extensive libraries like Pandas and Scikit-learn, and strong community support make it a powerhouse in Data Analysis. It excels in data cleaning, visualisation, statistical analysis, and Machine Learning, making it a must-know tool for Data Analysts and scientists. Why Python?

Data Analysis

Data Analysis Data Analysis Python Data Analyst

Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

NOVEMBER 18, 2020

We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science? Data Science is an activity that focuses on data analysis and finding the best solutions based on it. Where to Use Data Science?

Data Mining

Data Mining Data Mining Data Mining Data Science

Understanding Big Data Visualization

Pickl AI

NOVEMBER 22, 2024

Reveals hidden patterns and trends within large volumes of data. Supports predictive analytics to anticipate market trends and behaviours. Benefits of Big Data Visualization Big Data Visualization is an essential tool for organisations looking to make sense of vast amounts of data.

Data Visualization

Data Visualization Big Data Big Data Power BI

Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science

Data Science Analytics Analytics Data Scientist

Data Demystified: What Exactly is Data?- 4 Types of Analytics

Pickl AI

JULY 23, 2023

Using the right data analytics techniques can help in extracting meaningful insight, and using the same to formulate strategies. The analytics techniques like descriptive analytics, predictive analytics, diagnostic analytics and others find application in diverse industries, including retail, healthcare, finance, and marketing.

Analytics

Analytics Analytics Predictive Analytics Data Analysis

Future-Forward: 2024’s Most Promising Power BI Project Ideas

Pickl AI

JUNE 18, 2024

Summary: This blog dives into the most promising Power BI projects, exploring advanced data visualization, AI integration, IoT & blockchain analytics, and emerging technologies. Discover best practices for successful implementation and propel your organization towards data-driven success.

Power BI

Power BI Data Analysis Data Analysis Data Visualization

Navigating the 2024 Data Analyst career growth landscape

Pickl AI

JANUARY 16, 2024

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis.

Data Analyst

Data Analyst Data Analysis Data Analysis Analytics

Top Ten Power BI Alternatives For Your Data Needs

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.

Power BI

Power BI Tableau Data Analysis Data Analysis

Who is a BI Developer: Role, Responsibilities & Skills

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.

Business Intelligence

Business Intelligence Business Intelligence SQL Data Visualization

Splunk Tutorial For Beginners: It’s Application & Features

Pickl AI

JUNE 29, 2023

Data Analysis is significant as it helps accurately assess data that drive data-driven decisions. Different tools are available in the market that help in the process of analysis. It is a powerful and widely-used platform that revolutionises how organisations analyse and derive insights from their data.

Big Data Analytics

Big Data Analytics Big Data Analytics Big Data Big Data

Data Intelligence empowers informed decisions

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Key Components of Data Intelligence In Data Intelligence, understanding its core components is like deciphering the secret language of information.

Data Analysis

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence

The Transformative Role of Data Science in Stock Market Analysis

Pickl AI

AUGUST 23, 2023

However, Data Science introduces a scientific approach by analyzing historical data, market sentiment, economic indicators, and other relevant factors. Predictive Analytics One of the most remarkable aspects of Data Science in stock market analysis is its predictive capabilities.

Data Science

Data Science Machine Learning Machine Learning Algorithm

Importance of Tableau for Data Science

Pickl AI

JUNE 12, 2023

Tableau is an interactive platform that enables users to analyse and visualise data to gain insights. How Professionals Can Use Tableau for Data Science? Tableau is a powerful data visualization and business intelligence tool that can be effectively used by professionals in the field of data science.

Tableau

Tableau Data Science Data Scientist Data Analysis

Operations Analyst Job Description and Duties for 2025

Pickl AI

JANUARY 9, 2025

Summary: Operations Analyst job in 2025 are integral to improving efficiency, data analysis, and process optimisation. With career growth opportunities and a focus on data-driven decisions, this job remains central to organisational success. Their roles now include using advanced technologies like AI and automation.

Power BI

Power BI Machine Learning Machine Learning Tableau

What Are Business Intelligence Tools

Pickl AI

JANUARY 15, 2025

The primary functions of BI tools include: Data Collection: Gathering data from multiple sources including internal databases, external APIs, and cloud services. Data Processing: Cleaning and organizing data for analysis. Data Analysis : Utilizing statistical methods and algorithms to identify trends and patterns.

Business Intelligence

Business Intelligence Business Intelligence Power BI Data Visualization

Design Thinking in Data Science: Stages, Benefits and Limitations

Pickl AI

OCTOBER 8, 2024

Summary : Design Thinking in Data Science bridges the gap between Data Analysis and human needs. In Data Science, design thinking plays a crucial role by ensuring that data-driven models and insights address real-world challenges. Defining Clear Problems Design thinking helps frame the right problem.

Data Science

Data Science Data Scientist Data Analysis Data Analysis

Understanding Business Intelligence Architecture: Key Components

Pickl AI

JANUARY 28, 2025

They are useful for big data analytics where flexibility is needed. Choosing the right storage solution depends on the organization’s needs for speed, scalability, and type of analysis. Data Modeling Data modeling involves creating logical structures that define how data elements relate to each other.

Business Intelligence

Business Intelligence Business Intelligence ETL Data Lakes

AI Models as a Service (AIMaaS): A Detailed Overview

Pickl AI

OCTOBER 3, 2024

The process typically involves several key steps: Model Selection: Users choose from a library of pre-trained models tailored for specific applications such as Natural Language Processing (NLP), image recognition, or predictive analytics. Predictive Analytics : Models that forecast future events based on historical data.

Machine Learning

Machine Learning Machine Learning Natural Language Processing Artificial Intelligence

Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning

Machine Learning Machine Learning Data Science Big Data

Exploring RDBMS: The Backbone of Structured Data Management

Pickl AI

OCTOBER 16, 2024

Data Model : RDBMS relies on a structured schema with predefined relationships among tables, whereas NoSQL databases use flexible data models (e.g., key-value pairs, document-based) that accommodate unstructured data. It’s popular in corporate environments for Data Analysis and Business Intelligence.

Database

Database SQL Analytics Analytics

The power of advanced analytics in trading

Dataconomy

MAY 20, 2025

The introduction of advanced analytics into trading has revolutionized how you can analyze precious metal and currency markets. By leveraging sophisticated data models, you gain insights that were once unattainable, enhancing your ability to predict market movements effectively.

Analytics

Analytics Analytics Predictive Analytics Data Analysis

Data Science Current

Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Object-centric Process Mining on Data Mesh Architectures

Trending Sources

Why Python is Essential for Data Analysis

Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Understanding Big Data Visualization

Data science vs data analytics: Unpacking the differences

Data Demystified: What Exactly is Data?- 4 Types of Analytics

Future-Forward: 2024’s Most Promising Power BI Project Ideas

Navigating the 2024 Data Analyst career growth landscape

Top Ten Power BI Alternatives For Your Data Needs

Who is a BI Developer: Role, Responsibilities & Skills

Splunk Tutorial For Beginners: It’s Application & Features

Data Intelligence empowers informed decisions

The Transformative Role of Data Science in Stock Market Analysis

Importance of Tableau for Data Science

Operations Analyst Job Description and Duties for 2025

What Are Business Intelligence Tools

Design Thinking in Data Science: Stages, Benefits and Limitations

Understanding Business Intelligence Architecture: Key Components

AI Models as a Service (AIMaaS): A Detailed Overview

Data science vs. machine learning: What’s the difference?

Exploring RDBMS: The Backbone of Structured Data Management

The power of advanced analytics in trading

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