Smart Data Collective

JANUARY 10, 2023

IoT solutions as well as Business Intelligence tools are widely used by companies all over the world to improve their processes. First of all, you need to define what data should be collected from your IoT devices, processed, and visualized. Proceed to data analysis. But what if we combine these technologies?

Business Intelligence 116

Business Intelligence Business Intelligence Internet of Things Analytics 116

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.

Business Intelligence 103

Business Intelligence Business Intelligence Predictive Analytics Natural Language Processing 103

Dataconomy

AUGUST 24, 2023

In the modern era of data-driven decision-making, business intelligence projects have become the cornerstone for organizations aiming to harness their data for strategic insights. So which business intelligence projects can you trust in your next adventure? But this diversity often leads to sound pollution.

Business Intelligence 172

Business Intelligence Business Intelligence Data Analysis Data Analysis 172

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

Data Science Dojo

JANUARY 12, 2023

By using this method, you may speed up the process of defining data structures, schema, and transformations while scaling to any size of data. Through data crawling, cataloguing, and indexing, they also enable you to know what data is in the lake. References: Data lake vs data warehouse

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Data Lakes Data Warehouse Hadoop Machine Learning 222

Pickl AI

NOVEMBER 15, 2023

On the other hand, a Data Warehouse is a structured storage system designed for efficient querying and analysis. It involves the extraction, transformation, and loading (ETL) process to organize data for business intelligence purposes. It often serves as a source for Data Warehouses.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

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