CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? It is frequently used for economic and sales forecasting.

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Data Analytics Diagnostic Analytics Management Analytics 133

datapine

AUGUST 29, 2022

Best for : the new intern who has no idea what data science even means. An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

JUNE 14, 2023

Certification of Professional Achievement in Data Sciences The Certification of Professional Achievement in Data Sciences is a nondegree program intended to develop facility with foundational data science skills. The online program includes an additional nonrefundable technology fee of US$395 per course.

Big Data 127

Big Data Data Analytics Analytics Predictive Modeling 127

CIO Business Intelligence

NOVEMBER 14, 2022

With organizations increasingly focused on data-driven decision making, decision science (or decision intelligence) is on the rise, and decision scientists may be the key to unlocking the potential of decision science systems. Forecasting models. Analytics, Data Science Document-driven DSS.

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Data mining Data-driven Statistics OLAP 137

Smart Data Collective

MARCH 5, 2022

Are you a data scientist ? Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. Ways that Data-Savvy People Can Make Money with Side Hustles This Year. They can also use AI to create better videos for their users.

Data mining 135

Data mining Big Data Data-driven Data Science 135

FineReport

MARCH 24, 2024

Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

MAY 12, 2022

The goal of Alteryx’s Analytic Process Automation (APA) platform is to help you build a pipeline that cleans data before applying the best data science and machine learning algorithms. The product line is broken into tools for basic exploration such as Visual Data Mining or Visual Forecasting.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

Smart Data Collective

NOVEMBER 12, 2021

Over overlooked advantage of big data is that it can help improve outsourcing strategies. We talked about the benefits of outsourcing IoT and other data science obligations. You should use big data to improve your outsourcing models by data mining pools of talented employees. Global companies spent over $92.5

Data-driven 105

Data-driven Cost-Benefit Data mining Big Data 105

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 123

Predictive Analytics Analytics Predictive Modeling Data mining 123

datapine

MARCH 31, 2022

BI developer skills encompass crafting and executing data-driven queries upon request as well as the ongoing technical development of a company’s BI platforms or solutions. Here is a more specific rundown of BI developer skills: Demonstrable experience in the areas of BI development or data science. Yes, they exist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smart Data Collective

OCTOBER 14, 2019

A global retailer like Amazon with its same-day shipping and multi-channel services might have billions of data points across several sectors. Gartner estimates a retail IT spend forecast of $210.9 billion allocated for data center systems and $90.2 These can help a developer find a career in the data science field.

Big Data 75

Big Data Software Data mining Prescriptive Analytics 75

O'Reilly on Data

JANUARY 22, 2019

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below.

Modeling 134

Modeling Finance Uncertainty Data mining 134

FineReport

JULY 18, 2022

Key features: Data analysts use Python to realize the functions like data crawling, data cleaning, data modeling, data visualization, data mining, etc. RapidMiner is a data science platform that supports the entire analytics lifecycle. SAS Forecasting. From SAS Forecast Server.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

BizAcuity

MARCH 31, 2022

Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management. A lot of testing AI methods can be utilized for better and more accurate outcomes from mining the data.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

datapine

NOVEMBER 27, 2019

You simply choose the data source you want to analyze and the column/variable (for instance, revenue) that the algorithm should focus on. Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Domino Data Lab

MAY 20, 2021

The dataset and code used in this blog post are available at [link] and all results shown here are fully reproducible, thanks to the Domino reproducibility engine, which is part of the Domino Data Science platform. Data mining for direct marketing: Problems and solutions. Protein classification with imbalanced data.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

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Data Lake Data Warehouse Business Intelligence Machine Learning 52

Rita Sallam

JULY 22, 2016

Research VP, Business Analytics and Data Science. Again, check out the Critical Capabilities for BI and Analytic Platforms for how each vendor compares. We are on the cusp of the next wave of BI market disruption beyond the current one started by Tableau and Qlik – but that’s for my next blog post. Enjoy your summer!!

Analytics 40

Analytics Business Intelligence Metadata Statistics 40