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

AWS Machine Learning Blog

OCTOBER 24, 2024

Conventional ML development cycles take weeks to many months and requires sparse data science understanding and ML development skills. Business analysts’ ideas to use ML models often sit in prolonged backlogs because of data engineering and data science team’s bandwidth and data preparation activities.

Data Warehouse 118

Data Warehouse Machine Learning Machine Learning Cloud Data 118

Data Science Dojo

SEPTEMBER 11, 2024

In the sales context, this ensures that sales data remains consistent, accurate, and easily accessible for analysis and reporting. Synapse Data Science: Synapse Data Science empowers data scientists to work directly with secured and governed sales data prepared by engineering teams, allowing for the efficient development of predictive models.

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Power BI Data Pipeline Data Warehouse Data Engineering 337

Smart Data Collective

MAY 13, 2022

In addition, several enterprises are using AI-enabled programs to get business analytics insights from volumes of complex data coming from various sources. AI is undoubtedly a gamechanger for business intelligence. Most organizations base their decisions on what data tells them. It makes data preparation faster.

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Analytics Analytics AI AI 141

Dataconomy

MARCH 19, 2025

Key disciplines involved in data science Understanding the core disciplines within data science provides a comprehensive perspective on the field’s multifaceted nature. Overview of core disciplines Data science encompasses several key disciplines including data engineering, data preparation, and predictive analytics.

Data Science 91

Data Science Citizen Data Scientist Data Scientist Machine Learning 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

JUNE 8, 2025

The Rise of Augmented Analytics Augmented analytics is revolutionizing how data insights are generated by integrating artificial intelligence (AI) and machine learning (ML) into analytics workflows. This trend is particularly impactful in industries requiring rapid, data-driven decision-making.

Data Science 52

Data Science Augmented Analytics Machine Learning Machine Learning 52

Tableau

JANUARY 27, 2021

This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. I first want to thank you, the Tableau Community, for your continued support and your commitment to data, to Tableau, and to each other. Francois Ajenstat. Kristin Adderson. January 27, 2021 - 4:36pm. February 18, 2021.

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Tableau Business Intelligence Business Intelligence Analytics 52

Iguazio

JUNE 11, 2025

It automates data preparation, model tuning, customization, validation and optimization of LLMs, ML models and live AI applications over elastic resources. Read the blog for more details, or go straight to the blueprint to try it out for yourself. What is MLRun? What are NVIDIA NeMo Microservices?

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Smart Data Collective

SEPTEMBER 16, 2020

Many business processes are trending towards the utility of the business intelligence sphere, especially where certain predictive analytics tools are concerned. However, many data scientists and business analysts can’t readily lean on automated regression techniques like logistic regression and linear regression.

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Data Science Dojo

AUGUST 16, 2024

Insight Suggestions : Copilot offers proactive suggestions, such as identifying anomalies or trends that may require further investigation, and recommends actions based on the data analysis. It democratizes access to data analytics across an organization.

Analytics 195

Analytics Analytics Power BI AI 195

Pickl AI

APRIL 21, 2025

Introduction Data visualization is no longer just a niche skill; it’s a fundamental component of Data Analysis , business intelligence, and data science. What they’re testing: Basic data preparation awareness as it relates to visualization. How would you approach this?

Data Visualization 52

Data Visualization Power BI Data Analysis Data Analysis 52

Data Science Dojo

JANUARY 12, 2023

Analytics Data lakes give various positions in your company, such as data scientists, data developers, and business analysts, access to data using the analytical tools and frameworks of their choice. You can perform analytics with Data Lakes without moving your data to a different analytics system. 4.

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Data Lakes Data Warehouse Hadoop Machine Learning 221

Flipboard

APRIL 30, 2025

million in seed funding to transform how businesses prepare data for AI, promising to save data scientists from the task that consumes 80% of their time. Brooklyn-based Structify emerges from stealth with $4.1 Read More

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Data Scientist AI AI Data Preparation 165

IBM Journey to AI blog

OCTOBER 17, 2024

IBM® Cognos® Analytics has long been recognized as the gold standard in business intelligence (BI). Renowned for its superior reporting capabilities, IBM Cognos offers an unparalleled level of depth and flexibility for organizations looking to extract valuable insights from their data.

Data Preparation 58

Data Preparation Analytics Analytics Business Intelligence 58

IBM Journey to AI blog

DECEMBER 7, 2023

Performance benchmarking and trend analysis : OLAP allows businesses to benchmark performance against industry standards and identify areas for improvement. Increased operational efficiency benefits Reduced data preparation time : OLAP data preparation capabilities streamline data analysis processes, saving time and resources.

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Data Preparation Database Data Analysis Data Analysis 72

AWS Machine Learning Blog

NOVEMBER 19, 2024

Reserve your seat now BSI101: Reimagine business intelligence with generative AI Monday December 2 | 1:00 PM – 2:00 PM PT In this session, get an overview of the generative AI capabilities of Amazon Q in QuickSight. Explore how this powerful tool streamlines the entire ML lifecycle, from data preparation to model deployment.

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AWS ML ML AI 111

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.

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Augmented Analytics Analytics Analytics Data Science 98

ODSC - Open Data Science

JUNE 12, 2023

Then we have some other ETL processes to constantly land the past 5 years of data into the Datamarts. No-code/low-code experience using a diagram view in the data preparation layer similar to Dataflows. They then create a Datamart for social marketing for the past 5 years. A replacement for datasets.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 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

AWS Machine Learning Blog

AUGUST 1, 2024

QLoRA quantizes a pretrained language model to 4 bits and attaches smaller low-rank adapters (LoRA), which are fine-tuned with our training data. As an Information Technology Leader, Jay specializes in artificial intelligence, data integration, business intelligence, and user interface domains.

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SQL AWS ML ML 131

Alation

FEBRUARY 20, 2020

Business Intelligence used to require months of effort from BI and ETL teams. More recently, we’ve seen Extract, Transform and Load (ETL) tools like Informatica and IBM Datastage disrupted by self-service data preparation tools. First, there is no easy way to find the data you want to prepare.

ETL 52

ETL Hadoop Tableau Data Scientist 52

Pickl AI

FEBRUARY 21, 2023

Significantly, data mining can help organisations take more vital and active measures to mitigate these risks and prevent potential losses. Effectively, Data Mining leverages Business Intelligence tools and advanced analytics for analysing historical data. are the various data mining tools.

Data Mining 52

Data Mining Data Mining Data Mining Data Scientist 52

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

IBM Journey to AI blog

MARCH 14, 2024

.   Request a live demo or start a proof of concept with Amazon RDS for Db2 Db2 Warehouse SaaS on AWS The cloud-native Db2 Warehouse fulfills your price and performance objectives for mission-critical operational analytics, business intelligence (BI) and mixed workloads.

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AWS Machine Learning Blog

SEPTEMBER 3, 2024

With the introduction of EMR Serverless support for Apache Livy endpoints , SageMaker Studio users can now seamlessly integrate their Jupyter notebooks running sparkmagic kernels with the powerful data processing capabilities of EMR Serverless. He is a big supporter of Arsenal football club and spends spare time playing and watching soccer.

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AWS Clustering Big Data Big Data 123

Pickl AI

NOVEMBER 18, 2024

Selecting the right alternative ensures efficient data-driven decision-making and aligns with your organisation’s goals and budget. Introduction Power BI has become one of the most popular business intelligence (BI) tools, offering powerful Data Visualisation, reporting, and decision-making features. billion to USD 54.27

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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

APRIL 9, 2025

This stage involves optimizing the data for querying and analysis. This process ensures that organizations can consolidate disparate data sources into a unified repository for analytics and reporting, thereby enhancing business intelligence. What are ETL Tools?

ETL 52

ETL Data Warehouse AWS Business Intelligence 52

phData

OCTOBER 11, 2023

In this blog, we will focus on integrating Power BI within KNIME for enhanced data analytics. KNIME and Power BI: The Power of Integration The data analytics process invariably involves a crucial phase: data preparation. This phase demands meticulous customization to optimize data for analysis.

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Power BI Data Preparation Analytics Analytics 45

ODSC - Open Data Science

APRIL 27, 2023

Below you’ll find just a few of synthetic data’s applications. Data Sharing The very necessary and important laws that protect the privacy and security of our data are also what make data sharing for business intelligence difficult for organizations.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Preparation 52

ODSC - Open Data Science

MAY 10, 2023

Unfortunately, even the data science industry — which should recognize tabular data’s true value — often underestimates its relevance in AI. Many mistakenly equate tabular data with business intelligence rather than AI, leading to a dismissive attitude toward its sophistication.

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ODSC - Open Data Science

MARCH 18, 2025

This session covers key CV concepts, real-world use cases, and step-by-step guidance on data preparation, model selection, and fine-tuning. With a background spanning search, business intelligence, and software testing, he has a deep understanding of real-world data challenges.

Data Science 64

Data Science Machine Learning Machine Learning Data Scientist 64

ODSC - Open Data Science

NOVEMBER 19, 2024

Dimensional Data Modeling in the Modern Era by Dustin Dorsey Slides Dustin Dorsey’s AI slides explored the evolution of dimensional data modeling, a staple in data warehousing and business intelligence. Steven Pousty showcased how to transform unstructured data into a vector-based query system.

Deep Learning 52

Deep Learning Deep Learning Data Science AI 52

AWS Machine Learning Blog

MAY 25, 2023

Create a dashboard using QuickSight After you have collected the metrics and preprocessed the aggregated metrics, you can visualize the data to get the business insights. For this solution, we use QuickSight for the business intelligence (BI) dashboard and Athena as the data source for QuickSight.

ML 101

ML ML AWS Database 101

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

AUGUST 16, 2023

Here’s how it works: Data Preparation Start by importing the necessary libraries and loading your dataset. Read the Blog: How Business Intelligence Helps in Decision Making FAQs What is a Decision Tree? Ensure that your dataset contains missing values in some of the attributes.

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