FineReport

MAY 6, 2020

Framework Big Data Processing: Hadoop, storm, spark. Data Warehous: SSIS, SSAS. Skill Data Mining: Matlab, R, Python. Seperti yang Anda ketahui, statistik adalah dasar analisis data. Statistik juga adalah sebuah skill utama seorang data analyst. Anda perlu memahami prinsip dibalik data.

Data mining 98

Data mining Data Warehouse Machine Learning Big Data 98

datapine

SEPTEMBER 27, 2022

One of the best beginners’ books on SQL for the analytical mindset, this masterful creation demonstrates how to leverage the two most vital tools for data query and analysis – SQL and Excel – to perform comprehensive data analysis without the need for a sophisticated and expensive data mining tool or application.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Smart Data Collective

SEPTEMBER 13, 2020

Search engines use data mining tools to find links from other sites. They use a sophisticated data-driven algorithm to assess the quality of these sites based on the volume and quantity of inbound links. Oftentimes, this means citing a statistic or providing content for further reading. Offering value to readers.

Data Analytics 122

Data Analytics Analytics Big Data Data mining 122

datapine

MAY 29, 2019

Data cleansing, metadata management, data distribution, storage management, recovery, and backup planning are processes conducted in a data warehouse while BI makes use of tools that focus on statistics, visualization, and data mining. But let’s see this through our next major aspect.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

FineReport

JUNE 11, 2021

But more specifically, it represents the toolkits that leaders employ when they want to collect and manage data assets produce informative reports to optimize the current workflows. Business analytics is how companies use statistical methods and techniques to analyze historical data to gain new insights and improve strategic decision-making.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

DataKitchen

OCTOBER 11, 2021

Historic Balance – compares current data to previous or expected values. These tests rely upon historical values as a reference to determine whether data values are reasonable (or within the range of reasonable). . Statistical Process Control – applies statistical methods to control a process.

Testing 154

Testing Metadata Dashboards Statistics 154

BizAcuity

OCTOBER 21, 2019

Social Media, Blogging & Reviews are the new age connectors among the Millennials, where they post their experiences. Text analytics helps to draw the insights from the unstructured data. . Text mining is also referred to as text analytics, is the process of deriving high -quality information from text.

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

BizAcuity

MAY 7, 2019

Traditionally, demand forecasting involved sales managers coming together at the end of every three months to analyze the sales statistics of the bygone business quarter. They realised that to reduce their margin gap, it was important for them to be agile and adopt a more data-driven approach that can deliver results in real time.

Forecasting 75

Forecasting IT Sales Statistics 75

Alation

MARCH 29, 2022

Tech Target editor Craig Stedman, declared self-service business intelligence “an approach to data analytics that enables business users to access and explore data sets even if they don’t have a background in BI or related functions like data mining and statistical analysis.”. Subscribe to Alation's Blog.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

BizAcuity

APRIL 28, 2019

By clubbing various techniques like data mining, machine learning, artificial intelligence and statistical modelling, it makes predictions about events in the future. Predictive Analytics, a form of advanced analytics is also making great breakthroughs in the solving the debt collection problem.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

Sisense

APRIL 10, 2020

In Talking Data , we delve into the rapidly evolving worlds of Natural Language Processing and Generation. Text data is proliferating at a staggering rate, and only advanced coding languages like Python and R will be able to pull insights out of these datasets at scale. R: Analytics powerhouse.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

Sisense

AUGUST 11, 2019

The sheer quantity and scope of data produced and stored by your company can make it incredibly hard to peer through the number-fog to pick out the details you need. This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. One reason to do ramp-up is to mitigate the risk of never before seen arms.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. appeared first on IBM Blog.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

FineReport

JUNE 11, 2021

But more specifically, it represents the toolkits that leaders employ when they want to collect and manage data assets produce informative reports to optimize the current workflows. Business analytics is how companies use statistical methods and techniques to analyze historical data to gain new insights and improve strategic decision-making.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

BizAcuity

OCTOBER 21, 2019

Social Media, Blogging & Reviews are the new age connectors among the Millennials, where they post their experiences. Text analytics helps to draw the insights from the unstructured data. Text mining is also referred to as text analytics, is the process of deriving high -quality information from text.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

Sisense

SEPTEMBER 12, 2019

We’ve been talking a lot recently about companies needing to use their data in order to stay in business in the future. We’ve even gone as far as saying that every company is a data company , whether they know it or not. Every company has been generating data for a while now. But what is a BI strategy in today’s world?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Jedox

JULY 31, 2018

Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. It quickly processes large amounts of data from internal and external sources, so users can recognize patterns and gain deeper insights to make better decisions.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

Cloudera

NOVEMBER 30, 2017

Over the coming weeks, we will outline all six strategies in detail through this blog series. Can’t wait for the next blog? The post Introduction to Six Strategies for Advancing Customer Knowledge appeared first on Cloudera Blog. Access the full report here.

Strategy 40

Strategy Big Data Data mining Visualization 40

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. This blog post discusses such a comprehensive approach that is used at Youtube. Journal of Statistical Software, 56(1):1-56, 2014. [5]

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Rita Sallam

JULY 22, 2016

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities. Research VP, Business Analytics and Data Science.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

Occam's Razor

AUGUST 22, 2011

Here you'll find all my blog posts categorized into a structure that will hopefully make it easy for you to discover new content, find answers to your questions, or simply wallow in some excellent analytics narratives. Blogging Experience Articles. + Convert Data Skeptics: Document, Educate & Pick Your Poison.

KPI 125

KPI Metrics Measurement ROI 125

BizAcuity

MAY 16, 2022

He went on to be the head brewer of Guinness and we thank him for not just great hand-crafted beers but subsequent research breakthroughs in statistical research as well. Data allowed Guinness to hold their market dominance for long. Data mining. Visual Analytics and Data Visualization. That was in the 1900’s.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 42

Experimentation Statistics Metrics Measurement 42

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

In this post we explore why some standard statistical techniques to reduce variance are often ineffective in this “data-rich, information-poor” realm. Despite a very large number of experimental units, the experiments conducted by LSOS cannot presume statistical significance of all effects they deem practically significant.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

datapine

AUGUST 29, 2022

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.”. If we had to pick one book for an absolute newbie to the field of Data Science to read, it would be this one.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Smarten

FEBRUARY 11, 2025

If you are still unconvinced or uncertain about the critical importance of business intelligence (BI) and analytics for businesses like yours, here are some sobering, surprising and impressive statistics to ponder. Organizations leave 97% of gathered data unused. 74% of employees feel unhappy or overwhelmed when working with data.

Enterprise 62

Enterprise Business Intelligence Statistics Cost-Benefit 62