datapine

SEPTEMBER 27, 2022

Our next book is dedicated to anyone who wants to start a career as a data scientist and is looking to get all the knowledge and skills in a way that is accessible and well-structured. 13) “SQL for Data Analysis: Advanced Techniques for Transforming Data Into Insights” by Cathy Tanimura. Viescas, Douglas J.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

FineReport

JULY 22, 2021

Business Intelligence(BI) is defined as the concept of using modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value. What is business intelligence?. BI Interface (by FineReport).

Business Intelligence 52

Business Intelligence Sales Marketing Forecasting 52

datapine

JANUARY 24, 2021

Methods like artificial neural networks (ANN) and autoregressive integrated moving average (ARIMA), time series, seasonal naïve approach, and data mining find wide application in data analytics nowadays. We’ve already explained them and recognized them as one of the biggest business intelligence trends for 2021.

IT 317

IT Statistics KPI Data-driven 317

datapine

MARCH 31, 2022

billion by the end of 2021. Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 This could involve anything from learning SQL to buying some textbooks on data warehouses.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

FEBRUARY 22, 2023

Before implementing a data lake on AWS, Ruparupa had no infrastructure capable of processing the volume and variety of data formats in a short time. Data had to be manually processed by data analysts, and data mining took a long time. Because of the fast growth of data, it took 1–1.5

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Jet Global

MAY 1, 2023

Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” The functionality allows them to zero in on the pipeline data that is associated with the account record of interest. Standalone is a thing of the past.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52