Smart Data Collective

JULY 22, 2019

Big or small, every business needs good tools to analyze data and develop the most suitable business strategy based on the information they get. Business intelligence tools are means that help companies get insights from their data and get a better understanding of what directions and trends to follow.

Business Intelligence 103

Business Intelligence Business Intelligence Power BI Tableau 103

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Tableau

JUNE 8, 2021

EMEA Field CTO, Tableau. In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. The division between data lakes and data warehouses is stifling innovation. Francois Zimmermann.

Tableau 102

Tableau Data Lakes Data Warehouse SQL 102

Pickl AI

NOVEMBER 5, 2024

Summary: Data Visualisation is crucial to ensure effective representation of insights tableau vs power bi are two popular tools for this. This article compares Tableau and Power BI, examining their features, pricing, and suitability for different organisations. What is Tableau? billion in 2023. from 2022 to 2028.

Power BI 52

Power BI Tableau Business Intelligence Business Intelligence 52

Smart Data Collective

MARCH 25, 2021

Business reporting has been around for a long time but the tools and techniques of business intelligence have refined over time and now with the recent popularity of data driven business approach, data has been identified as the most valuable asset of a business and data analytics and reporting has finally found a key place in the business world.

Analytics 130

Analytics Analytics Data Analyst Business Intelligence 130

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 Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Pickl AI

JANUARY 15, 2025

Summary: Business Intelligence tools are software applications that help organizations collect, process, analyse, and visualize data from various sources. Introduction Business Intelligence (BI) tools are essential for organizations looking to harness data effectively and make informed decisions.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

Women in Big Data

DECEMBER 9, 2024

Introduction In the rapidly evolving landscape of data analytics, Business Intelligence (BI) tools have become indispensable for organizations seeking to leverage their big data stores for strategic decision-making. There is a plethora of BI tools available in the market today, with new ones being added yearly.

Big Data 52

Big Data Big Data Power BI Tableau 52

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

Pickl AI

DECEMBER 2, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Smart Data Collective

AUGUST 10, 2021

Data can help them create strategies based on these powerful forces. The good news is that it’s never been easier to collect and organize data. In the early days of analytics, only the largest companies could afford to leverage big data. All that’s changed and now there are accessible tools for businesses of all sizes.

Analytics 132

Analytics Analytics Data Science Tableau 132

Pickl AI

NOVEMBER 25, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

JUNE 12, 2023

Tableau is a data visualisation software helping you to generate graphics-rich reporting and analysing enormous volumes of data. With the help of Tableau, organisations have been able to mine and gather actionable insights from granular sources of data. Let’s read the blog to find out!

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

Alation

FEBRUARY 11, 2020

The e-commerce giant leverages Tableau and the Alation Data Catalog to create a seamless process of data discovery and analysis with the goal of enabling all of its 7,500+ employees with self-service analytics. MercadoLibre’s journey to democratizing data began five years ago. million sellers and 267 million users.

Tableau 52

Tableau Analytics Analytics Business Intelligence 52

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. Basic Business Intelligence Experience is a Must.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Dataconomy

JULY 24, 2023

” Data visualization and communication It’s not enough to uncover insights from data; a data scientist must also communicate these insights effectively. This is where data visualization comes in. Tools like Tableau, Matplotlib, Seaborn, or Power BI can be incredibly helpful.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Tableau

JUNE 8, 2021

EMEA Field CTO, Tableau. In many of the conversations we have with IT and business leaders, there is a sense of frustration about the speed of time-to-value for big data and data science projects. The division between data lakes and data warehouses is stifling innovation. Francois Zimmermann.

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

Analytics Vidhya

JUNE 27, 2020

Overview There are a plethora of data science tools out there – which one should you pick up? The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya. Here’s a list of over 20.

Data Science 400

Data Science Machine Learning Machine Learning Analytics 400

Alation

JANUARY 13, 2020

The e-commerce giant leverages Tableau and the Alation Data Catalog to create a seamless process of data discovery and analysis with the goal of enabling all […]. The post MercadoLibre grows governed, self-service analytics with Alation and Tableau appeared first on Alation. million sellers and 267 million users.

Tableau 52

Tableau Analytics Analytics Big Data 52

Pickl AI

MARCH 19, 2025

It is ideal for handling unstructured or semi-structured data, making it perfect for modern applications that require scalability and fast access. Apache Spark Apache Spark is a powerful data processing framework that efficiently handles Big Data. It helps streamline data processing tasks and ensures reliable execution.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Smart Data Collective

JANUARY 27, 2020

The application of Artificial intelligence and Business Intelligence in affiliate marketing has been actively discussed for quite a time. In AI it refers to computer intelligence, while in BI it is about smart decision-making in business influenced by data analysis and visualization. Business Intelligence.

AI 136

AI AI Business Intelligence Business Intelligence 136

How to Learn Machine Learning

APRIL 26, 2025

Data Storage and Management Once data have been collected from the sources, they must be secured and made accessible. The responsibilities of this phase can be handled with traditional databases (MySQL, PostgreSQL), cloud storage (AWS S3, Google Cloud Storage), and big data frameworks (Hadoop, Apache Spark).

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

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. I’ve also started learning and working with Tableau Public [or Power BI Desktop , Python libraries like Matplotlib/Seaborn , etc.

Data Visualization 52

Data Visualization Power BI Data Analysis Data Analysis 52

Dataconomy

MAY 16, 2025

Importance of advanced analytics In today’s data-driven world, the ability to interpret vast quantities of information is vital for success. Advanced analytics equips organizations with tools to tackle intricate business challenges that standard business intelligence (BI) tools may not effectively address.

Analytics 91

Analytics Analytics Big Data Analytics Big Data Analytics 91

Smart Data Collective

OCTOBER 14, 2019

In addition to supporting standard SQL, Apache Drill lets you keep depending on business intelligence tools you may already use, such as Qlik and Tableau. Also, no matter your current skill level with big data analysis, Apache Drill tries to remove some of the obstacles that people often face.

Data Science 94

Data Science SQL Big Data Big Data 94

Alation

FEBRUARY 20, 2020

. ; there has to be a business context, and the increasing realization of this context explains the rise of information stewardship applications.” – May 2018 Gartner Market Guide for Information Stewardship Applications. The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data.

Data Governance 52

Data Governance Tableau Analytics Analytics 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?

Power BI 52

Power BI Tableau Data Analysis Data Analysis 52

Smart Data Collective

OCTOBER 13, 2021

Sometimes, it can be hard to spot aspects of a business that aren’t running as smoothly as they could be. For this reason, exploring data visualization can come in handy. Google Charts to Tableau, there are so many tools and analytics software options available for your business to thrive. Understanding employees.

Internet of Things 133

Internet of Things Data Visualization Tableau Analytics 133

Alation

FEBRUARY 20, 2020

Business Intelligence used to require months of effort from BI and ETL teams. Today, you have Tableau, empowering any analyst to create a report. Today, any data scientist, business analyst or business person can use Trifacta to transform, prepare, and move data. Now you have iPhones and YouTube.

ETL 52

ETL Hadoop Tableau Data Scientist 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. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Alation

FEBRUARY 13, 2020

Who says you can’t rock and roll with data? For the second year in a row, Dresner Advisory Services’ Wisdom of Crowds® Data Catalog Market Study 7 named Alation as the top-ranked data cataloging solution. Ventana Research’s 2018 Digital Innovation Award for Big Data.

Data Governance 52

Data Governance Machine Learning Machine Learning Analytics 52

Smart Data Collective

MAY 20, 2021

Business analysts are concerned with looking at data and events, making sure negative events do not occur again and choosing and implementing solutions to ensure that this is the case. This is a field in which demand is increasing as many companies turn to using big data analysis , and they require experts who know how to do this.

Analytics 134

Analytics Analytics Tableau Data Scientist 134

Pickl AI

FEBRUARY 28, 2023

However, Data Scientists use tools like Python, Java, and Machine Learning for manipulating and analysing data. Significantly, in contrast, Data Analysts utilise their proficiency in a relational databases, Business Intelligence programs and statistical software.

Data Analyst 52

Data Analyst Data Scientist Data Science Computer Science 52

Pickl AI

AUGUST 16, 2024

SAS (Statistical Analysis System) This comprehensive software suite enables advanced analytics, business intelligence, and data management. It is particularly strong in data manipulation and statistical analysis, making it a staple in many industries, including healthcare and finance.

Hypothesis Testing 52

Hypothesis Testing Data Analysis Data Analysis Machine Learning 52

Alation

FEBRUARY 13, 2020

His focus is on business intelligence, analytics, big data, and data warehousing. They’re thinking immediately how they’re going to report it, how they’re going to show it in Tableau, and where the data is going to come from to prove out that it’s working successfully. It’s drag and drop.

Tableau 52

Tableau Analytics Analytics Big Data 52

Pickl AI

APRIL 2, 2024

The Three Types of Data Science Data science isn’t a one-size-fits-all solution. There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Hadoop/Spark: Frameworks for distributed storage and processing of big data.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52