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

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

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 What is Power BI?

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ODSC - Open Data Science

JUNE 12, 2023

They all agree that a Datamart is a subject-oriented subset of a data warehouse focusing on a particular business unit, department, subject area, or business functionality. The Datamart’s data is usually stored in databases containing a moving frame required for data analysis, not the full history of data.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

ODSC - Open Data Science

FEBRUARY 12, 2024

Most businesses already recognize the need to automate the actual analysis of data, but you can go further. Automating the data preparation and interpretation phases will take much time and effort out of the equation, too.

Augmented Analytics 98

Augmented Analytics Analytics Analytics Data Science 98

How to Learn Machine Learning

APRIL 26, 2025

This includes duplicate removal, missing value treatment, variable transformation, and normalization of data. Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

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

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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

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Pickl AI

JUNE 18, 2024

Discover best practices for successful implementation and propel your organization towards data-driven success. Introduction to Power BI Project s The world of Data Analysis is constantly evolving, and Power BI stands at the forefront of this transformation. Power BI has transcended its initial role as a reporting tool.

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Pickl AI

FEBRUARY 4, 2025

Choosing the proper library improves data exploration, presentation, and industry decision-making. Introduction Data visualisation plays a crucial role in Data Analysis by transforming complex datasets into insightful, easy-to-understand visuals. It helps uncover patterns, trends, and correlations that might go unnoticed.

Python 52

Python Exploratory Data Analysis Data Analysis Data Analysis 52

Pickl AI

MARCH 4, 2024

Optimising Power BI reports for performance ensures efficient data analysis. Power BI proficiency opens doors to lucrative data analytics and business intelligence opportunities, driving organisational success in today’s data-driven landscape. How does Power Query help in data preparation?

Power BI 52

Power BI Data Analysis Data Analysis Data Models 52

Pickl AI

AUGUST 1, 2023

Data Pipeline Orchestration: Managing the end-to-end data flow from data sources to the destination systems, often using tools like Apache Airflow, Apache NiFi, or other workflow management systems. It covers Data Engineering aspects like data preparation, integration, and quality.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 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

JULY 12, 2023

We are living in a world where data drives decisions. Also, it is making transformative changes across the business nations. Data manipulation in Data Science is the fundamental process in data analysis. Does not alter the original data; instead, it creates new representations or summaries of the data.

Data Analysis 52

Data Analysis Data Analysis Database Clean Data 52

ODSC - Open Data Science

FEBRUARY 19, 2024

Microsoft Power BI Microsoft Power BI is almost synonymous with comprehensive business intelligence capabilities. Like our other platform, it allows users to connect to hundreds of data sources, simplify data prep, and drive ad hoc analysis.

Data Visualization 52

Data Visualization Power BI Tableau Data Science 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. Data preparation also involves feature engineering.

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Decision Trees Hypothesis Testing Clustering Data Analysis 52

Pickl AI

AUGUST 16, 2023

In the world of Machine Learning and Data Analysis , decision trees have emerged as powerful tools for making complex decisions and predictions. These tree-like structures break down a problem into smaller, manageable parts, enabling us to make informed choices based on data.

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Pickl AI

FEBRUARY 8, 2023

Data Manipulation The process through which you can change the data according to your project requirement for further data analysis is known as Data Manipulation. The entire process involves cleaning, Merging and changing the data format. This data can help in building the project pipeline.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

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. Automated development: With AutoAI , beginners can quickly get started and more advanced data scientists can accelerate experimentation in AI development. trillion in value.

AI 90

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Dataconomy

MARCH 19, 2025

This helps facilitate data-driven decision-making for businesses, enabling them to operate more efficiently and identify new opportunities. Definition and significance of data science The significance of data science cannot be overstated. Data visualization developer: Creates interactive dashboards for data analysis.

Data Science 91

Data Science Citizen Data Scientist Data Scientist Machine Learning 91

Dataconomy

FEBRUARY 26, 2025

KDD provides a structured framework to convert raw data into actionable knowledge. The KDD process Data gathering Data preparation Data mining Data analysis and interpretation Data mining process components Understanding the components of the data mining process is essential for effective implementation.

Data Mining 91

Data Mining Data Mining Data Mining Data Preparation 91

Dataconomy

APRIL 16, 2025

This modular approach allows businesses to assemble tools and techniques that perfectly fit their specific needs, rather than relying on less flexible monolithic systems. Composable analytics refers to an agile, adaptable framework for data analytics that allows users to create customized analytical environments using modular components.

Analytics 91

Analytics Analytics Data Analysis Data Analysis 91

Pickl AI

FEBRUARY 9, 2025

As a software suite, it encompasses a range of interconnected products, including Tableau Desktop, Server, Cloud, Public, Prep, and Data Management, and Reader. At its core, it is designed to help people see and understand data. It disrupts traditional business intelligence with intuitive, visual analytics for everyone.

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ODSC - Open Data Science

MARCH 18, 2025

Stefanie Molin, Data Scientist, Software Engineer, Author of Hands-On Data Analysis with Pandas at Bloomberg Stefanie Molin is a software engineer and data scientist at Bloomberg, where she tackles complex information security challenges through data wrangling, visualization, and tool development.

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