FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They identify and interpret trends in complex datasets, optimize statistical results, and maintain databases while devising new data collection processes.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

AUGUST 10, 2021

Data can help them create strategies based on these powerful forces. The good news is that it’s never been easier to collect and organize data. In the early days of analytics, only the largest companies could afford to leverage big data. But which tools are the most effective for businesses in 2021?

Analytics 129

Analytics Data-driven Advertising Data Science 129

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 141

Business Intelligence Dashboards Data mining OLAP 141

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. trillion each year.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Rita Sallam

JULY 22, 2016

decline in traditional BI ( See: Market Share Analysis: Business Intelligence and Analytics Software, 2015 ). Answer: The primary differences are described in detail in our research, Technology Insight for Modern Business Intelligence and Analytics Platforms and summarized in the table below from the report.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. To some extent, academia still struggles a lot with how to stick data science into some sort of discipline.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

datapine

MAY 27, 2020

In recent years, analytical reporting has evolved into one of the world’s most important business intelligence components, compelling companies to adapt their strategies based on powerful data-driven insights. How To Write An Analytical Report? Try our professional reporting software for 14 days, completely free!

Reporting 245

Reporting Analytics Dashboards Sales 245

datapine

MAY 16, 2019

Exclusive Bonus Content: Ready to use data analytics in your restaurant? Get our free bite-sized summary for increasing your profits through data! A sobering statistic if ever we saw one. What Are Restaurant Analytics? Why Are Restaurant Analytics Important? Let’s start by looking at the definition.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

Peter James Thomas

AUGUST 12, 2018

I explore some similar themes in a section of Data Visualisation – A Scientific Treatment. 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].

Metrics 49

Metrics Statistics Data Quality Measurement 49

Peter James Thomas

SEPTEMBER 19, 2018

The peterjamesthomas.com Data and Analytics Dictionary is an active document and I will continue to issue revised versions of it periodically. Artificial Intelligence Platform. Data Asset. Data Audit. Data Classification. Data Consistency. Data Controls.

Analytics 45

Analytics Testing Data Strategy Data Integration 45

Cloudera

NOVEMBER 2, 2020

Correlations across data domains, even if they are not traditionally stored together (e.g. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data Warehouse 91

Data Warehouse Optimization Dashboards Interactive 91

Sisense

JUNE 16, 2020

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. This piece was originally published on Search Business Analytics.

Analytics 69

Analytics Data-driven Sales Data Processing 69

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Peter James Thomas

AUGUST 2, 2019

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

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

datapine

MAY 17, 2021

In the digital age, those who can squeeze every single drop of value from the wealth of data available at their fingertips, discovering fresh insights that foster growth and evolution, will always win on the commercial battlefield. Moreover, 83% of executives have pursued big data projects to gain a competitive edge.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

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.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52