Data Science Dojo

FEBRUARY 23, 2024

You can upload your data files to this GPT that it can then analyze. Once you provide relevant prompts of focus to the GPT, it can generate appropriate data visuals based on the information from the uploaded files. Other than the advanced data analysis, it can also deal with image conversions.

Data Science 253

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Dataconomy

SEPTEMBER 4, 2023

Cloud analytics is the art and science of mining insights from data stored in cloud-based platforms. By tapping into the power of cloud technology, organizations can efficiently analyze large datasets, uncover hidden patterns, predict future trends, and make informed decisions to drive their businesses forward.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Data Science Dojo

FEBRUARY 23, 2024

It makes them more versatile as they are not limited to handling textual information, but can process multimodal forms of data. Other data science tasks include data preprocessing, visualization, and statistical analysis. You can upload your data files to this GPT that it can then analyze.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

Data Science Dojo

FEBRUARY 23, 2024

It makes them more versatile as they are not limited to handling textual information, but can process multimodal forms of data. Other data science tasks include data preprocessing, visualization, and statistical analysis. 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

Smart Data Collective

JANUARY 26, 2021

We covered the benefits of using machine learning and other big data tools in translations in the past. However, big data often encapsulates using constantly growing data sets to determine business intelligence objectives, such as when to expand into a new market, which product might perform overseas, and which regions to expand into.

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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. Data Intelligence emerges as the indispensable force steering businesses towards informed and strategic decision-making.

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Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

phData

SEPTEMBER 19, 2023

However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. Data modeling plays a pivotal role in defining the structure, relationships, and semantics of data within a data lake. What is a Data Lake?

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Data Lakes Data Modeling Data Models Data Warehouse 52

phData

SEPTEMBER 11, 2023

Row-level security is a powerful data governance capability across many business intelligence platforms, and Power BI is no exception. Location Based RLS An organization wants specific subsets of users only to see information about locations that are specific to them (City/State/Region/Country, etc.)

Power BI 101

Power BI Data Modeling Data Models Data Governance 101

Smart Data Collective

NOVEMBER 24, 2021

It’s been almost two years since the COVID-19 pandemic started, and now we have enough information to assume that most enterprises weren’t prepared for the crisis. Although teams had vast amounts of data and powerful analytic tools at their fingertips, the pandemic still caught most organizations off guard.

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Analytics Analytics Business Intelligence Business Intelligence 133

Smart Data Collective

SEPTEMBER 16, 2020

Once you’ve found the right data segments and you’re ready to develop a predictive analysis based on these large data sets, you need to determine exactly how useful your data is. From a predictive analytics standpoint, you can be surer of its utility. Deep Learning, Machine Learning, and Automation.

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Data Science Dojo

JANUARY 16, 2023

Every individual analysis the data obtained via their experience to generate a final decision. Put more concretely, data analysis involves sifting through data, modeling it, and transforming it to yield information that guides strategic decision-making.

Data Analysis 195

Data Analysis Data Analysis Data Analyst Big Data 195

Smart Data Collective

JUNE 16, 2022

Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Trend analysis, financial reporting, and sales forecasting are frequently aided by OLAP business intelligence queries. ( see more ).

Analytics 137

Analytics Analytics Data Scientist Data Warehouse 137

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

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses. What is ETL?

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ETL Data Quality Data Warehouse Database 97

Tableau

SEPTEMBER 26, 2023

Swetha Bezawada Senior Data Scientist Colten Woo September 26, 2023 - 6:57pm October 2, 2023 The typical analytical ecosystem has two silos: business intelligence and data science. In addition to the MODEL_EXTENSION functions which directly query deployed models, you can use SCRIPT functions to run ad hoc scripts.

Tableau 120

Tableau Analytics Analytics Python 120

Smart Data Collective

OCTOBER 5, 2020

Business intelligence is a crucial component in the chase to be on the top in this competitive corporate sphere. As a venture grows, it becomes tedious to keep track of the analytical data of the enterprise which, in turn, forms a road-block to decision making.

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Power BI Business Intelligence Business Intelligence Data Modeling 93

Dataconomy

OCTOBER 17, 2023

Want to create a robust data warehouse architecture for your business? The sheer volume of data that companies are now gathering is incredible, and understanding how best to store and use this information to extract top performance can be incredibly overwhelming.

Data Warehouse 103

Data Warehouse Big Data Big Data ETL 103

Tableau

SEPTEMBER 26, 2023

Swetha Bezawada Senior Data Scientist Colten Woo September 26, 2023 - 6:57pm October 2, 2023 The typical analytical ecosystem has two silos: business intelligence and data science. In addition to the MODEL_EXTENSION functions which directly query deployed models, you can use SCRIPT functions to run ad hoc scripts.

Tableau 96

Tableau Analytics Analytics Python 96

ODSC - Open Data Science

SEPTEMBER 27, 2023

In the ever-evolving world of big data, managing vast amounts of information efficiently has become a critical challenge for businesses across the globe. Flexibility and Agility Data lakes provide flexibility, enabling organizations to store diverse data types without worrying about immediate data modeling.

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

Tableau

MARCH 19, 2024

Countless hours vizzing, a standout Tableau Public profile , and a graduate degree later, Karolina reflects on her data journey and what led her to her current role as a Business Intelligence Analyst at Schneider Electric. They create relevant posts on social media and inform their followers about upcoming events.”Asking

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Tableau Data Visualization Business Intelligence Business Intelligence 129

Smart Data Collective

MARCH 29, 2022

So, whether you’ve been using Excel, SQL, CRMs, or other platforms to keep track of your data, this new technology will make accessing and configuring your data simpler. But alone, the numerical values may not offer much information. What are Fact Tables vs Dimension Tables? That’s great, you may say.

Data Modeling 92

Data Modeling Data Models SQL Analytics 92

ODSC - Open Data Science

OCTOBER 30, 2023

In the digital era, data visualization stands as an indispensable tool in the realm of business intelligence. It represents the graphical display of data and information, transforming complex datasets into intuitive and understandable visuals. Extraneous elements can distract from the data you’re presenting.

Data Visualization 52

Data Visualization Power BI Business Intelligence Business Intelligence 52

Data Science Blog

AUGUST 22, 2024

Real-Time Data Processing Businesses are adopting technologies that can process and analyze data instantly due to the need for real-time insights. Real-time data preparation tools allow companies to react quickly to new information, maintaining a competitive edge in fast-paced industries.

Data Preparation 130

Data Preparation Data Quality AI AI 130

Alation

FEBRUARY 13, 2020

This achievement is a testament not only to our legacy of helping to create the data catalog category but also to our continued innovation in improving the effectiveness of self-service analytics. A broader definition of Business Intelligence. Howard Dresner coined the term “Business Intelligence” in 1989.

Business Intelligence 52

Business Intelligence Business Intelligence Analytics Analytics 52

Dataversity

FEBRUARY 19, 2021

Enterprises are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel.

Data Analyst 59

Data Analyst Data Scientist Business Intelligence Business Intelligence 59

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Microsoft Power BI has been the leader in the analytics and business intelligence platforms category for several years running.

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Power BI Analytics Analytics Azure 84

The Data Administration Newsletter

AUGUST 31, 2021

The purpose of data visualization is to facilitate the perception of information arrays and to identify patterns that are difficult to notice in a text table. To make a useful and powerful infographic, you need to follow the laws and regulations of data visualization.

Data Visualization 94

Data Visualization Data Models Data Modeling Big Data 94

Tableau

SEPTEMBER 12, 2024

Spencer Czapiewski September 12, 2024 - 8:38pm Karen Madera Senior Manager, Product Marketing, Tableau We’re in the midst of an autonomous revolution that’s reshaping the way businesses use data to gain a competitive edge, delight customers, and engage employees. Excited to get your hands on Tableau Einstein? Want to learn more?

Tableau 65

Tableau Analytics Analytics Data Modeling 65

ODSC - Open Data Science

JUNE 12, 2023

This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. Then we have some other ETL processes to constantly land the past 5 years of data into the Datamarts.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Tableau

DECEMBER 7, 2022

Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. As a result, making informed business decisions was frustrating and time consuming. . Cut costs by consolidating data warehouse investments.

Tableau 98

Tableau Data Warehouse Data Pipeline Data Visualization 98

Tableau

DECEMBER 7, 2022

Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. As a result, making informed business decisions was frustrating and time consuming. . Cut costs by consolidating data warehouse investments.

Tableau 98

Tableau Data Warehouse Data Pipeline Data Visualization 98

Pickl AI

NOVEMBER 22, 2024

Summary: Big Data visualization involves representing large datasets graphically to reveal patterns, trends, and insights that are not easily discernible from raw data. Importance of Big Data Visualization The significance of Big Data Visualization lies in its ability to simplify complex datasets and facilitate decision-making.

Data Visualization 52

Data Visualization Big Data Big Data Power BI 52

Mlearning.ai

FEBRUARY 16, 2023

Today, companies are facing a continual need to store tremendous volumes of data. The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. The tool’s high storage capacity is perfect for keeping large information volumes.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence 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.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Smart Data Collective

MARCH 30, 2021

According to Mckinsey Global Institute , data-driven organizations are not only 23 times more likely to acquire customers but also six times as likely to retain customers and 19 times more likely to be profitable! . Big data leaves no space for the “box-ticking” approach. Competitor activity analysis.

Big Data 94

Big Data Big Data Data Analysis Data Analysis 94

Alation

FEBRUARY 20, 2020

Organizations who are so successful in their adoption of self-service analytics, that their own business intelligence (BI) evangelists worry that they’ve created an analytics “wild west.” When they see a data catalog for the first time, they’re thrilled that a product exists that can govern the west and increase analyst productivity.

Data Lakes 52

Data Lakes Analytics Analytics Business Intelligence 52

Pickl AI

AUGUST 9, 2024

Real-world examples illustrate their application, while tools and technologies facilitate effective hierarchical data management in various industries. One of the key components of dimensional modelling is the concept of hierarchies. Improved Data Navigation Hierarchies provide a clear structure for users to navigate through data.

Data Warehouse 52

Data Warehouse Data Quality ETL Business Intelligence 52