Marktechpost

JULY 2, 2024

Business data analysis is a field that focuses on extracting actionable insights from extensive datasets, crucial for informed decision-making and maintaining a competitive edge. Traditional rule-based systems, while precise, need help with the complexity and dynamism of modern business data.

Data Analysis 105

Data Analysis Large Language Models Business Intelligence LLM 105

Analytics Vidhya

SEPTEMBER 16, 2024

Introduction The STAR schema is an efficient database design used in data warehousing and business intelligence. It organizes data into a central fact table linked to surrounding dimension tables. A major advantage of the STAR […] The post How to Optimize Data Warehouse with STAR Schema?

Business Intelligence 291

Business Intelligence Data Analysis 291

Analytics Vidhya

MAY 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Are you often intimidated by the power of data analysis. The post Business Analyst vs Data Analyst: Which Profile Should You Choose? appeared first on Analytics Vidhya.

Data Analysis 365

Data Analysis Data Science Business Intelligence 365

AI News

OCTOBER 15, 2024

Personalisation : Based on customer data, chatbots and virtual assistants can personalise their interactions with customers like using real names, remembering past interactions and providing responses that are tailored to what the customer is requesting. This can help businesses schedule maintenance ahead of time to avoid loss of production.

Machine Learning 289

Machine Learning Chatbots Business Intelligence Automation 289

Marktechpost

NOVEMBER 13, 2024

Data modeling and data analysis are two fundamental ideas in the contemporary field of data science that frequently overlap but are very different from one another. Anyone who works with data, whether they are an IT specialist, business analyst, or data scientist, must be aware of their distinctions.

Data Analysis 80

Data Analysis Machine Learning Data Science Data Scientist 80

Analytics Vidhya

MARCH 5, 2024

It covers planning your business, identifying your niche, market research, and understanding the Business Model Canvas. It also explores how ChatGPT can enhance customer service, content creation, and data analysis.

ChatGPT 306

ChatGPT Artificial Intelligence Artificial Intelligence Data Analysis 306

How to Learn Machine Learning

JUNE 24, 2024

You can use custom business intelligence (BI) dashboards. These offer a tailored approach to data analysis. They are exceptional data visualization solutions. These businesses need to understand how to use them to improve data analysis. Expect a different scenario when viewing raw data.

Business Intelligence 40

Business Intelligence Data Analysis Machine Learning Automation 40

Towards AI

JANUARY 27, 2023

In the increasingly competitive world, understanding the data and taking quicker actions based on that help create differentiation for the organization to stay ahead! It is used to discover trends [2], patterns, relationships, and anomalies in data, and can help inform the development of more complex models [3].

Data Analysis 98

Data Analysis Data Science Software Engineer Business Intelligence 98

Unite.AI

AUGUST 11, 2024

The platform's extensive data coverage encompasses over 100 million online sources and provides access to historical data dating back to 2010. What sets Brandwatch apart is its proprietary AI technology, enhanced with generative AI, which automates data analysis and delivers instant, actionable insights.

Categorization 300

Categorization AI AI Automation 300

AI News

SEPTEMBER 27, 2024

.” Cross-cloud and hybrid support: Everts points out that Unity Catalog “is designed to manage data governance in multi-cloud and hybrid environments” and “ensures that data is governed uniformly, regardless of where it resides.”

Large Language Models 307

Large Language Models Big Data Explainability ETL 307

Pickl AI

APRIL 19, 2023

In the fast-paced world, businesses must be on their toes to make their brand carve a niche. Hence, the emphasis on newer technologies like Business Intelligence is rising. The Business Intelligence decision-making is underpinning the business operations. What is Business Intelligence?

Business Intelligence 52

Business Intelligence Data Analysis Data Mining Data Extraction 52

IBM Journey to AI blog

JUNE 29, 2023

This may involve consolidating data from enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, supply chain management systems, and other relevant sources. Implementing advanced analytics and business intelligence tools can further enhance data analysis and decision-making capabilities.

Data Integration 237

Data Integration Business Intelligence ETL Automation 237

IBM Journey to AI blog

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. IBM watsonx.data is the next generation OLAP system that can help you make the most of your data.

Data Analysis 181

Data Analysis AI AI Automation 181

IBM Journey to AI blog

OCTOBER 17, 2023

They are being increasingly challenged to improve efficiency and cost savings, embrace automation, and engage in data-driven decision making that helps their organization stand out from the competition. Streams of business events provide users with a persistent, continuously updated record of their data, as it is being generated.

Automation 236

Automation Business Intelligence Data Analysis 236

Defined.ai blog

AUGUST 10, 2023

Businesses must understand how to implement AI in their analysis to reap the full benefits of this technology. In the following sections, we will explore how AI shapes the world of financial data analysis and address potential challenges and solutions.

Business Intelligence 52

Business Intelligence Data Analysis Neural Network Artificial Intelligence 52

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.

Data Analysis 126

Data Analysis Data Science Business Intelligence Python 126

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.

Business Intelligence 52

Business Intelligence Data Analysis Data Extraction Big Data 52

Marktechpost

SEPTEMBER 8, 2023

Microsoft Power BI Microsoft Power BI, a powerful business intelligence platform that lets users filter through data and visualize it for insights, is another top AI tool for data analysis. Users may import data from practically anywhere into the platform and immediately create reports and dashboards.

AI Tools 133

AI Tools Data Science Machine Learning Data Analysis 133

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.

Data Science 236

Data Science Data Scientist Machine Learning Data Mining 236

Mlearning.ai

MARCH 4, 2023

Exploratory Data Analysis on Stock Market Data Photo by Lukas Blazek on Unsplash Exploratory Data Analysis (EDA) is a crucial step in data science projects. It helps in understanding the underlying patterns and relationships in the data. Load the Dataset The first step is to load the dataset. .

Data Analysis 52

Data Analysis Python Data Science Business Intelligence 52

Unite.AI

MAY 1, 2024

Amazon Q: The Generative AI Assistant One of the most exciting announcements from Amazon at the same time is the launch of Amazon Q, a generative AI assistant designed to empower businesses and developers. Amazon Q Developer, now generally available, is a game-changer for software development teams.

Generative AI 162

Generative AI Software Development Business Intelligence Data Analysis 162

Mlearning.ai

AUGUST 10, 2023

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. Figure 15: Step 4 — Loading data Once we’ve clicked on “Load”, Power BI will connect with pgAdmin4. Finally, it will show us the data. Figure 16: Dashboard data 4.3.

Business Intelligence 52

Business Intelligence ETL Data Analysis Python 52

Marktechpost

APRIL 14, 2024

In the dynamic world of data visualization and business intelligence, Tableau and Power BI stand out as leading tools. Both platforms harness the power of AI to provide deep insights and make data-driven decisions more accessible. Data Handling: Handling vast amounts of data without significant performance degradation.

Business Intelligence 104

Business Intelligence Text Analytics AI AI 104

Unite.AI

JUNE 18, 2024

According to one recent study , about 70% of business leaders say that there is a critical skills gap, with data analysis and project management being among the most in-demand hard skills of the modern era. Data analysis. The technology itself is simply evolving faster than humans can master it. Cybersecurity.

Machine Learning 130

Machine Learning Software Engineer Artificial Intelligence Artificial Intelligence 130

IBM Journey to AI blog

SEPTEMBER 6, 2023

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) 1) But what about AI’s potential specifically in the field of marketing?

Automation 240

Automation Data Scientist Machine Learning AI 240

Unite.AI

JULY 12, 2024

Key Features of Echobase AI Echobase offers a range of key features designed to integrate AI seamlessly into your business operations: File Management and Upload: Easily upload or sync files from your cloud storage services to give AI Agents the context needed to become experts in your specific business knowledge.

Data Analysis 130

Data Analysis AI AI OpenAI 130

Marktechpost

JULY 15, 2024

Complex Data Analysis and Visualization GPT-4’s ability to interpret and generate complex data visualizations sets it apart from GPT-3.5. This capability is essential for business intelligence, scientific research, and data-driven decision-making.

Software Development 115

Software Development Business Intelligence Data Analysis Algorithm 115

Pickl AI

NOVEMBER 18, 2024

Here’s why certifications hold significant value: Validate Skills and Expertise: Certifications confirm your competence in Data Analysis, showcasing your ability to handle data, use analytical tools, and generate insights effectively. Cloud Integration: Learn Data Analysis with Microsoft Azure tools.

Python 110

Python Data Analysis Machine Learning Data Science 110

AWS Machine Learning Blog

DECEMBER 29, 2022

Many of the RStudio on SageMaker users are also users of Amazon Redshift , a fully managed, petabyte-scale, massively parallel data warehouse for data storage and analytical workloads. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

Machine Learning 134

Machine Learning Natural Language Processing Data Scientist Data Analysis 134

Marktechpost

NOVEMBER 19, 2024

What is a Data Warehouse? A data warehouse is a centralized system that integrates data from several sources, usually relational databases, to facilitate reporting, business intelligence, and historical analysis. A data warehouse’s essential characteristics are as follows.

Big Data 83

Big Data ETL Business Intelligence Data Analysis 83

deepsense.ai

MAY 8, 2023

SQLDay, one of the biggest Microsoft Data Platform conferences in Europe, is set to host an insightful presentation on GPT in data analysis by Maksymilian Operlejn, Data Scientist at deepsense.ai. The presentation entitled “GPT in data analysis – will AI replace us?”

Data Analysis 52

Data Analysis Big Data Data Scientist Business Intelligence 52

Analytics Vidhya

JULY 15, 2024

Introduction Power BI uses a set of functions, operators, and constants called DAX to perform dynamic computations and analysis. One can enhance their Power BI competency by using DAX features that help in data modeling and reporting. This article examines the top DAX features that any Power BI user should know.

Data Analysis 287

Data Analysis Business Intelligence 287

IBM Journey to AI blog

OCTOBER 20, 2023

AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. .” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7

Machine Learning 225

Machine Learning Automation AI AI 225

Marktechpost

SEPTEMBER 18, 2024

This model is suited for applications requiring deeper understanding and longer context lengths, including research, data analysis, and technical writing. model, with 1.54 billion parameters, builds on the same architecture but offers enhanced performance for more complex tasks. Finally, the Qwen2.5-72B Finally, the Qwen2.5-72B

Large Language Models 116

Large Language Models Machine Learning Software Development Business Intelligence 116

ODSC - Open Data Science

FEBRUARY 8, 2023

BigQuery operation principles Business intelligence projects presume collecting information from different sources into one database. Then, an analyst prepares them for reporting (via data visualization tools like Google Data Studio). The BigQuery tool was designed to be the centerpiece of data analysis.

Big Data 97

Big Data Data Mining Business Intelligence Data Science 97

Marktechpost

AUGUST 27, 2024

Data analysis helps organizations make informed decisions by turning raw data into actionable insights. With businesses increasingly relying on data-driven strategies, the demand for skilled data analysts is rising. You’ll learn the fundamentals of gathering, cleaning, analyzing, and visualizing data.

Data Analysis 59

Data Analysis Python ETL Big Data 59

Unite.AI

DECEMBER 5, 2023

This article will explore data warehousing, its architecture types, key components, benefits, and challenges. What is Data Warehousing? Data warehousing is a data management system to support Business Intelligence (BI) operations. It can handle vast amounts of data and facilitate complex queries.

Metadata 162

Metadata Big Data ETL Data Mining 162