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. The creation of this data model requires the data connection to the source system (e.g.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

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. What is Business Intelligence Architecture?

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

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 Business Intelligence Data Analysis Data Analysis 52

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

Smart Data Collective

JUNE 8, 2023

Understanding the tactical aspects of the game becomes easier with data analysis. This data-driven approach enhances decision-making on the field and increases the chances of success. Enhancing Player Performance through Data Analysis Data collection and analysis have a significant impact on individual player performance.

Analytics 105

Analytics Analytics Data Analysis Data Analysis 105

Dataconomy

JUNE 13, 2023

In this era of information overload, utilizing the power of data and technology has become paramount to drive effective decision-making. Decision intelligence is an innovative approach that blends the realms of data analysis, artificial intelligence, and human judgment to empower businesses with actionable insights.

Power BI 103

Power BI Artificial Intelligence Artificial Intelligence Data Analysis 103

Smart Data Collective

AUGUST 10, 2021

. ‘Although companies in healthcare, IT and finance are some of the biggest investors in analytics technology, plenty of other sectors are investing in analytics as well. Analytics Becomes Major Asset to Companies Across All Sectors. Do you find storing and managing a large quantity of data to be a difficult task?

Analytics 137

Analytics Analytics Big Data Big Data 137

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 52

Data Visualization Big Data Big Data Power BI 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. billion to USD 54.27

Power BI 52

Power BI Tableau Data Analysis Data Analysis 52

Ocean Protocol

SEPTEMBER 29, 2023

AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. Fantasy Football is a popular pastime for a large amount of the world, we gathered data around the past 6 seasons of player performance data to see what our community of data scientists could create.

Cross Validation 59

Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

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 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

JUNE 25, 2023

This knowledge enables them to make data-backed decisions to address challenges and capitalize on opportunities. Predictive Analytics Predictive analytics involves the use of historical data, statistical algorithms, and machine learning techniques to forecast future outcomes or trends. Lakhs to ₹ 15.3

Analytics 52

Analytics Analytics Predictive 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

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. Organizations can expect to reap the following benefits from implementing OLAP solutions, including the following.

Data Preparation 72

Data Preparation Database Data Analysis Data Analysis 72

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.

Analytics 94

Analytics Analytics Business Intelligence Business Intelligence 94

Dataconomy

SEPTEMBER 16, 2024

This skill also integrates well with other technical domains like web development and business intelligence. You can embed SQL queries within applications to create dynamic, data-driven features. E-commerce platforms E-commerce giants employ SQL aficionados to handle vast amounts of transactional data.

SQL 103

SQL Database Data Analyst Database Administration 103

Pickl AI

SEPTEMBER 10, 2024

By integrating AI capabilities, Excel can now automate Data Analysis, generate insights, and even create visualisations with minimal human intervention. AI-powered features in Excel enable users to make data-driven decisions more efficiently, saving time and effort while uncovering valuable insights hidden within large datasets.

Power BI 52

Power BI Data Analysis Data Analysis AI 52

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

Dataconomy

FEBRUARY 24, 2023

Unlike AI, which seeks to automate human tasks and replace human intelligence, AU seeks to empower humans to make better decisions by providing them with tools and insights to enhance their cognitive abilities. These tools may include data analysis and visualization software, natural language processing ( NLP ), and predictive analytics.

Artificial Intelligence 70

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 70

Dataconomy

FEBRUARY 6, 2024

Data analytics and business intelligence As businesses have opted for digital transformation, they are faced with a tsunami of data that is now incredibly valuable but is burdensome to collect, analyze, and process. So AI is no longer a passing fad; it’s the future of the tech world.

ML 121

ML ML Machine Learning Machine Learning 121

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 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

Smart Data Collective

JULY 9, 2019

Otherwise, your business may be sacrificing new opportunities. This is where big data—and its wealth of data analysis—can guide improvement of customer service functionality across various channels. Help Customers Save Time.

Big Data 111

Big Data Big Data Analytics Analytics 111

Data Science Blog

OCTOBER 20, 2024

Additionally, it allows for quick implementation without the need for complex calculations or data analysis, making it a convenient choice for organizations looking for a simple attribution method. Figure 3 – The first touch is a simple non-intelligent way of attribution. However, linear attribution also has its drawbacks.

Machine Learning 130

Machine Learning Machine Learning Deep Learning Deep Learning 130

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

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?

AI 96

AI AI Data Scientist Machine Learning 96

Dataconomy

MAY 17, 2023

The widespread adoption of artificial intelligence in sales has led to the development of various tools Improving sales forecasting and analytics Artificial intelligence empowers sales teams with advanced forecasting and analytics capabilities, enabling data-driven decision making and improved sales performance.

Artificial Intelligence 87

Artificial Intelligence Artificial Intelligence AI AI 87

Pickl AI

JUNE 12, 2023

A Data Scientist requires to be able to visualize quickly the data before creating the model and Tableau is helpful for that. 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.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

Pickl AI

OCTOBER 10, 2024

Inconsistent or unstructured data can lead to faulty insights, so transformation helps standardise data, ensuring it aligns with the requirements of Analytics, Machine Learning , or Business Intelligence tools. This makes drawing actionable insights, spotting patterns, and making data-driven decisions easier.

Data Quality 52

Data Quality AWS Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 3, 2024

Business Intelligence Analyst Business intelligence analysts use Data Analysis and visualisation techniques to support decision-making within organisations. They may employ neural networks to enhance predictive analytics and improve business outcomes.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

Ocean Protocol

FEBRUARY 15, 2024

Post3 is designed to extract and analyze data from Web3 media platforms. The Post3 platform addresses a recurring demand for searchability and data analysis in Web3 news, alerts, and digital media. Content that is easy to digest and understand, and offers insights to trends and business intelligence.

Hypothesis Testing 52

Hypothesis Testing Predictive Analytics Data Science Business Intelligence 52

Pickl AI

FEBRUARY 19, 2025

The main goal of Data Analytics is to improve decision-making. With the proper Data Analysis, businesses can reduce costs, increase profits, and provide better services. For example, a weather app predicts rainfall using past climate data. Apache Spark : A tool that handles big data processing.

Data Science 52

Data Science Analytics Analytics Machine Learning 52

Pickl AI

DECEMBER 2, 2024

Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets. Processing frameworks like Hadoop enable efficient data analysis across clusters.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 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. Data mining can be applied to many data types, including customer, financial, medical, and scientific data.

Data Mining 52

Data Mining Data Mining Data Mining Data Scientist 52

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 52

Power BI Machine Learning Machine Learning Tableau 52

Pickl AI

OCTOBER 15, 2024

Summary: Statistical Modeling is essential for Data Analysis, helping organisations predict outcomes and understand relationships between variables. Introduction Statistical Modeling is crucial for analysing data, identifying patterns, and making informed decisions.

Decision Trees 52

Decision Trees Hypothesis Testing Clustering Data Analysis 52

Pickl AI

DECEMBER 10, 2024

Key Takeaways Exalytics, Exalogic, and Exadata provide optimised analytics, middleware, and database solutions. Exalytics delivers lightning-fast data analysis and visualisation capabilities. Exadata accelerates query execution and optimises storage for large-scale data management.

Database 52

Database Analytics Analytics Business Intelligence 52