BizAcuity

APRIL 1, 2023

Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data. OCR is widely used to digitize all kinds of physical documentation.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data. Predictive Analytics. REFERENCES. [1] OCR is widely used to digitize all kinds of physical documentation.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Cloudera

FEBRUARY 25, 2021

They require a deep enough knowledge of dozens of ML techniques in order to choose the right approach for a given use case, a thorough understanding of everything required to execute on that use case, as well as a solid foundation in statistics fundamentals to ensure their choices and implementations are mathematically sound and appropriate.

Deep Learning 85

Deep Learning Machine Learning Forecasting Visualization 85

Peter James Thomas

AUGUST 18, 2018

Convergent Evolution refers to something else. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. So far so simple. As one would expect, animals sharing a recent common ancestor would share many attributes with both it and each other.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Benefits of BI BI helps business decision-makers get the information they need to make informed decisions.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Rocket-Powered Data Science

JULY 14, 2023

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

Grooper

AUGUST 19, 2019

Applied analytics Business analytics Machine learning and data science. Applied Analytics. Applied analytics is all about building a business analytics portfolio of actionable insights which directly affect and improve business processes. Business Analytics. Primary keys.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

AWS Big Data

NOVEMBER 29, 2023

For more information about performance improvement capabilities, refer to the list of announcements below. We have improved data lake query performance by integrating with AWS Glue statistics and introduce preview of incremental refresh for materialized views on data lake data to accelerate repeated queries.

Data Warehouse 111

Data Warehouse Data Lake Analytics Machine Learning 111

Peter James Thomas

AUGUST 12, 2018

Integrity of statistical estimates based on Data. Having spent 18 years working in various parts of the Insurance industry, statistical estimates being part of the standard set of metrics is pretty familiar to me [7]. The thing with statistical estimates is that they are never a single figure but a range. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. 3) What Are KPI Best Practices?

KPI 221

KPI Management Key Performance Indicator Measurement 221

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. What is the point of those obvious statistical inferences? Let’s define what these are.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Cloudera

JULY 13, 2022

Replication Manager provides HBase replication policies that help with disaster recovery so you can be assured that the data is backed up (as it gets generated), guaranteeing that you use the required and latest data in your business analytics and other use cases. References. What are HBase replication policies?

Snapshot 95

Snapshot Management Cost-Benefit Metadata 95

datapine

MAY 16, 2019

A sobering statistic if ever we saw one. Why Are Restaurant Analytics Important? Business analytics for restaurants is integral to understanding the inner workings of your business but and being aware of how you can improve it to foster a sustainable level of success that will set you apart from the competition.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Peter James Thomas

AUGUST 22, 2018

While the history is not certain, most authorities credit the pioneer of graphical statistics, William Playfair , with creating this icon, which appeared in his Statistical Breviary, first published in 1801 [2]. Especially for all Business Analytics professionals out there. Business logic [My adaptation].

Sales 73

Sales Statistics IT Publishing 73

Peter James Thomas

OCTOBER 1, 2019

Note: Here an “axis” is a fixed reference line (sometimes invisible for stylistic reasons) which typically goes vertically up the page or horizontally from left to right across the page (but see also Radar Charts ). Especially for all Business Analytics professionals out there. Business logic [My adaptation].

Sales 61

Sales Measurement Statistics Data Architecture 61

Peter James Thomas

AUGUST 2, 2019

Reference Data (contributor: George Firican ). Statistics. Self-service (BI or Analytics). Infographic. Management Information (MI). Master Data – additional definition (contributor: Scott Taylor ). Optimisation. Robotic Process Automation.

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. Share the essential business intelligence trends among your team!

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

MAY 17, 2021

Smart Data Discovery Or Augmented Intelligence: Discover The Next Stage In Business Analytics. They typically involve the collection, curation, and analysis of data as well as the data-driven actions an organization takes upon the discovery of new insights that prove essential to the development of the business.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Jet Global

JUNE 22, 2023

BI and analytics are both umbrella terms referring to a type of data insight software. Many providers use them interchangeably, but some use them in conjunction, claiming to offer both business intelligence and business analytics. Both of these are predictive statistical tools. per quarter.

Analytics 52

Analytics Business Intelligence Sales Reporting 52

Jet Global

MAY 9, 2024

ETL is primarily used for data warehousing and business intelligence applications. A data pipeline, however, is a broader concept that refers to the entire process of moving data from sources to destinations, which can include a variety of operations such as data ingestion, processing, transformation, storage, and delivery.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52