Smart Data Collective

MARCH 25, 2021

Business reporting has been around for a long time but the tools and techniques of business intelligence have refined over time and now with the recent popularity of data driven business approach, data has been identified as the most valuable asset of a business and data analytics and reporting has finally found a key place in the business world.

Analytics 130

Analytics Analytics Data Analyst Business Intelligence 130

Pickl AI

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. They use tools and techniques to analyse data, create reports, and support strategic decisions. Key skills include SQL, data visualization, and business acumen. Introduction We are living in an era defined by data.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence? How to become a blockchain maestro?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence? How to become a blockchain maestro?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

IBM Journey to AI blog

OCTOBER 17, 2023

” 1 Business and data analysts are intimately familiar with the growing business need for precise, real-time intelligence. To meet these objectives, business and data professionals need to go beyond cookie-cutter business intelligence, data visualization dashboards and data analytics tools.

Data Analyst 94

Data Analyst Data Visualization Business Intelligence SQL 94

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 52

Data Analyst Data Analysis Data Analysis Analytics 52

Pickl AI

FEBRUARY 28, 2023

If you’re an aspiring professional in the technological world and love to play with numbers and codes, you have two career paths- Data Analyst and Data Scientist. What are the critical differences between Data Analyst vs Data Scientist? Who is a Data Scientist? Who is a Data Analyst?

Data Analyst 52

Data Analyst Data Scientist Data Science Computer Science 52

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Data Science Dojo

FEBRUARY 23, 2024

A wide range of applications deals with a variety of tasks, ranging from writing, E-learning, and SEO to medical advice, marketing, data analysis, and so much more. However, our focus lies on exploring the GPTs for data science available on the platform. You can upload your data files to this GPT that it can then analyze.

Data Science 195

Data Science Data Analysis Data Analysis ML 195

Data Science Dojo

FEBRUARY 23, 2024

A list of best data science GPTs in the GPT store From the GPT store of OpenAI , below is a list of the 10 most popular data science GPTs for you to explore. Data Analyst Data Analyst is a featured GPT in the store that specializes in data analysis and visualization.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

ODSC - Open Data Science

FEBRUARY 24, 2023

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. These tools will help make your initial data exploration process easy.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Smart Data Collective

JANUARY 9, 2023

As we move deeper into the future, more and more organizations are utilizing AI and machine learning technology to improve their business processes in a number of profound ways. This widescale adoption can be seen in the recent rise in business intelligence and business analyst job positions.

Machine Learning 145

Machine Learning Machine Learning Data Analyst AI 145

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 5, 2024

Introduction Business Intelligence (BI) tools are crucial in today’s data-driven decision-making landscape. They empower organisations to unlock valuable insights from complex data. Tableau and Power BI are leading BI tools that help businesses visualise and interpret data effectively. billion in 2023.

Power BI 52

Power BI Tableau Business Intelligence Business Intelligence 52

Pickl AI

MARCH 31, 2023

Why Switching to Data Analytics is the Right Career Move? There are plenty of contributing factors that make Data Analytics a lucrative career opportunity. Here are some of them: Rising Demand for Data Analysts – There will be a roaring demand for Data Analysts in the coming years.

Analytics 52

Analytics Analytics Data Analyst Data Analysis 52

Smart Data Collective

NOVEMBER 24, 2021

At Itransition, we believe that the adoption of business intelligence (BI) can enable enterprises to transform and continually adapt to the ever-changing market conditions. In this article, we’ll take a closer look at why companies should seek new approaches to data analytics.

Analytics 134

Analytics Analytics Business Intelligence Business Intelligence 134

Data Science Dojo

SEPTEMBER 5, 2024

Data science involves the use of scientific methods, processes, algorithms, and systems to analyze and interpret data. It integrates aspects from multiple disciplines, including: Statistics : For data analysis and interpretation. Business Acumen : To translate data insights into actionable business strategies.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

Data science involves the use of scientific methods, processes, algorithms, and systems to analyze and interpret data. It integrates aspects from multiple disciplines, including: Statistics : For data analysis and interpretation. Business Acumen : To translate data insights into actionable business strategies.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

AWS Machine Learning Blog

AUGUST 8, 2024

Data is the foundational layer for all generative AI and ML applications. Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries. The following diagram illustrates the solution architecture.

SQL 122

SQL Data Lakes Data Analyst AWS 122

ODSC - Open Data Science

FEBRUARY 13, 2025

Build a Data Analyst AI Agent fromScratch Daniel Herrera, Principal Developer Advocate atTeradata Daniel Herrera guided attendees through the process of building a data analyst AI agent from the ground up.

AI 52

AI AI Data Analyst Database 52

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. The dedicated data analyst Virtually any stakeholder of any discipline can analyze data.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Dataconomy

SEPTEMBER 16, 2024

It was designed to retrieve and manage data stored in relational databases. This versatile programming language is widely used by database administrators, developers, and data analysts. Whether you’re working with MySQL, SQL Server, or another DBMS, mastering this language allows seamless data manipulation and retrieval.

SQL 103

SQL Database Data Analyst Database Administration 103

Dataversity

APRIL 29, 2022

Data analytics has accompanied me for 15 years already. I started my career as a data analyst in a controlling department immediately following my graduation from the University of West Bohemia; I now work as a data scientist providing consultancy services for a range of different fields.

Data Visualization 52

Data Visualization Data Analyst Data Scientist Data Analysis 52

Pickl AI

JANUARY 23, 2024

Job roles span from Data Analyst to Chief Data Officer, each contributing significantly to organisational success. With the Business Analytics market poised to reach new heights, from USD 43.9 billion by 2032 , a Master’s in Business Analytics will equip you for a future. ’ question.

Data Analyst 52

Data Analyst Analytics Analytics Machine Learning 52

Pickl AI

JULY 3, 2023

What is Business Intelligence? 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. billion in 2015 and reached around $26.50

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Smart Data Collective

SEPTEMBER 4, 2020

This will then give you a good grounding in a variety of business topics that you can apply to your own business, allowing you to see patterns and understand the data that you collect. Download the Right Data Analysis Software.

Big Data 106

Big Data Big Data Analytics Analytics 106

DrivenData Labs

MARCH 26, 2024

Her interests lie in using technology and data analysis to understand and model dynamic natural processes and climate change. She is currently working on a project called visualizingEnergy, where the goal is to present data stories to inform and guide an equitable energy transition. He holds a B.S.

Power BI 264

Power BI Data Scientist Python Machine Learning 264

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. Let’s dive into the key elements that make up the fascinating world of Data Intelligence. Look at the table below.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Pickl AI

FEBRUARY 19, 2025

Think of Data Science as the overarching umbrella, covering a wide range of tasks performed to find patterns in large datasets, while Data Analytics is a task that resides under the Data Science umbrella to query, interpret, and visualize datasets. The main goal of Data Analytics is to improve decision-making.

Data Science 52

Data Science Analytics Analytics Machine Learning 52

Pickl AI

JANUARY 25, 2023

The applications of SQL in real-life situations have been given below in the fields of marketing, Data Analysis, and finance industry. Application of SQL in Marketing The use of SQL has the primary purpose of strategising marketing policies in businesses. Based on the type of analysis, the SQL Join is performed.

SQL 52

SQL Data Science Database Data Analysis 52

Pickl AI

OCTOBER 14, 2024

Here are some compelling reasons to consider a Master’s degree: High Demand for Data Professionals : Companies across industries seek to leverage data for competitive advantage, and Data Scientists are among the most sought-after professionals. Data Analyst : ₹7,21,000 per year (average salary: ₹6,50,000 per year).

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

DECEMBER 6, 2024

Skilled personnel are necessary for accurate Data Analysis. Pricing Analytics is the practice of using Data Analysis techniques to determine the most effective pricing strategies for products or services. Executive alignment is crucial for successful pricing initiatives. What is Pricing Analytics?

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

Pickl AI

NOVEMBER 15, 2023

On the other hand, a Data Warehouse is a structured storage system designed for efficient querying and analysis. It involves the extraction, transformation, and loading (ETL) process to organize data for business intelligence purposes. It often serves as a source for Data Warehouses.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

Pickl AI

FEBRUARY 21, 2023

Understanding the appropriate ways to use data remains critical to success in finance, education and commerce. Accordingly, data collection from numerous sources is essential before data analysis and interpretation. Furthermore, data mining can help organisations better understand their customers.

Data Mining 52

Data Mining Data Mining Data Mining Data Scientist 52

Dataconomy

JULY 25, 2023

Diverse job roles: Data science offers a wide array of job roles catering to various interests and skill sets. Some common positions include data analyst, machine learning engineer, data engineer, and business intelligence analyst. Conclusion: Is data science a good career?

Data Science 91

Data Science Data Scientist Machine Learning Machine Learning 91

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. What Skills are Essential for an Operations Analyst Job in 2025?

Power BI 52

Power BI Machine Learning Machine Learning Tableau 52

Alation

SEPTEMBER 23, 2021

What Is a Data Catalog? A data catalog is a centralized storage bank of metadata on information sources from across the enterprise, such as: Datasets. Business intelligence reports. The data catalog also stores metadata (data about data, like a conversation), which gives users context on how to use each asset.

Data Preparation 52

Data Preparation SQL Data Governance Data Analysis 52