Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Edge Computing (and Edge Analytics): Industry 4.0: Algorithm: A set of rules to follow to solve a problem or to decide on a particular action (e.g., See [link].

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

JUNE 19, 2022

You can use predictive analytics tools to anticipate different events that could occur. Chaban addressed this in a recent article. You can leverage machine learning to drive automation and data mining tools to continue researching members of your supply chain and statements your own customers are making.

Risk 133

Risk Cost-Benefit Risk Management Manufacturing 133

FineReport

MARCH 24, 2024

Given the critical role they play, employers actively seek data analysts to enhance efficiency and stimulate growth. This article explores the data analyst job description, covering essential skills, tools, education, certifications, and experience. Descriptive analytics: Assessing historical trends, such as sales and revenue.

Statistics 52

Statistics Data mining Visualization Reporting 52

Decision Management Solutions

FEBRUARY 19, 2020

This combination of explicit rules – based on policies, regulations and human expertise – with advanced analytics and AI is critical. As many articles point out, just relying on AI can get you in trouble. Finally you don’t want to over shoot or end up in an article like this one on runaway algorithms.

Data mining 64

Data mining Machine Learning Risk Modeling 64

Smart Data Collective

APRIL 7, 2022

Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies.

B2B 106

B2B Sales Big Data Cost-Benefit 106

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

datapine

MARCH 31, 2022

If you want to take a deeper look into a more researched approach to the top software companies in the market, then take a look at our BI tools article including a rundown of the top 14 tools based on pricing, features, and user reviews! Here we will name 3 of the top ones. SAS BI: SAS can be considered the “mother” of all BI tools.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Sisense

AUGUST 19, 2020

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade.

Big Data 52

Big Data Machine Learning Digital Transformation Marketing 52

Smart Data Collective

NOVEMBER 29, 2019

Some of the changes include the following: Big data can be used to identify new link building opportunities through complicated Hadoop data-mining tools. Big data can make it easier to provide a more personalized user experience, which is key to ranking well in Google these days. In 2016, Inc.

Big Data 53

Big Data Marketing Data mining Optimization 53

FineReport

APRIL 26, 2023

This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Occam's Razor

AUGUST 22, 2011

" ~ Digital Analytics: "Am I thinking right? Be data driven?" " + Strategic Analysis Articles. Tactical Analysis Articles. Blogging Experience Articles. + Book Articles. Misc Articles. In each section the listing is from the latest article to the earliest. " Surveys?"

KPI 124

KPI Metrics Measurement ROI 124

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, data mining, and so forth. Predictive analytics and modeling.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

BizAcuity

MARCH 31, 2022

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Hope the article helped.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

datapine

MARCH 25, 2022

Your Chance: Want to extract the maximum potential out of your data? Try our professional BI and analytics software for 14 days free! In an article tackling BI and Business Analytics, Better Buys asked seven different BI pros what their thoughts were on the difference between business intelligence and analytics.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smart Data Collective

OCTOBER 25, 2023

Aubree Smith has a great article on Sprout Social highlighting the benefits of leveraging them together. Business intelligence typically includes data mining, reporting, data visualization, and performance analytics to provide a clear view of a company’s performance, opportunities, and challenges.

Key Performance Indicator 94

Key Performance Indicator Business Intelligence Data-driven Metrics 94

datapine

NOVEMBER 27, 2019

DQM consists of acquiring the data, implementing advanced data processes, distributing the data effectively and managing oversight data. We detailed the benefits and costs of good or bad quality data in our previous article on data quality management , where you can read the five important pillars to follow.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 1, 2023

All of the above points to embedded analytics being not just the trendy route but the essential one. 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.” Diagnostic Analytics: No longer just describing.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52