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

CIO Business Intelligence

DECEMBER 22, 2022

Analytics, Collaboration Software, Data Management, Data Mining, Data Science, IT Strategy, Small and Medium Business.

Analytics 130

Analytics Machine Learning Data mining Software 130

CIO Business Intelligence

JANUARY 15, 2024

Aerospace and Defense Industry, Artificial Intelligence, CIO, Data Center Management, Data Management, Data Mining, Data Quality, Data Scientist, Digital Transformation, Generative AI, IT Leadership

Informatics 131

Informatics Metadata Data mining Digital Transformation 131

CIO Business Intelligence

JUNE 14, 2023

CompTIA Data+ The CompTIA Data+ certification is an early-career data analytics certification that validates the skills required to facilitate data-driven business decision-making. Individuals with the certificate can describe data ecosystems and compose queries to access data in cloud databases using SQL and Python.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

DataKitchen

OCTOBER 11, 2021

Based on business rules, additional data quality tests check the dimensional model after the ETL job completes. While implementing a DataOps solution, we make sure that the pipeline has enough automated tests to ensure data quality and reduce the fear of failure. Adding Tests to Reduce Stress.

Testing 152

Testing Metadata Dashboards Statistics 152

CIO Business Intelligence

JULY 28, 2023

This strategic initiative also makes data consistently available for insight and maintains its integrity. Without a coherent strategy, enterprises face heightened security risks, rocketing storage costs, and poor-quality data mining. Many enterprises have become data hoarders, however.

Risk 98

Risk Management Data mining Cost-Benefit 98

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. It might be necessary one day to integrate your data with that of other departments. It improves the data quality and system effectiveness.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

CIO Business Intelligence

AUGUST 9, 2022

According to data from PayScale , the following data engineering skills are associated with a significant boost in reported salaries: Ruby: +32% Oracle: +26% MapReduce: +26% JavaScript: +24% Amazon Redshift: +21% Apache Cassandra: +18% Apache Sqoop: +12% Data Quality: +11% Apache HBase: +10% Statistical Analysis: +10% Data engineer certifications.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

Smart Data Collective

DECEMBER 29, 2022

To effectively use data, you need to start with strong data mining practices. You have to continuously collect data from your business and organize it so it can be used to improve your business decisions. Figure Out Your Priorities. However, that’s just the beginning.

Big Data 126

Big Data Data mining Marketing Strategy 126

CIO Business Intelligence

NOVEMBER 28, 2023

“By recognizing milestones, leaders give other stakeholders visibility into the progress being made, and also ensure that their team members feel appreciated for the level of effort they are putting in to make unstructured data actionable.” Quality is job one. Another key to success is to prioritize data quality.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

CIO Business Intelligence

APRIL 6, 2022

For example, Dell Technologies Validated Designs for Splunk power AIOps by gathering real-time data, mining it for insights, and then delivering these insights to management. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Data mining 72

Data mining Deep Learning Insurance Visualization 72

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

Octopai

APRIL 19, 2021

He is the President of Knowledge Integrity, Inc and an expert in master data management, data quality, and business intelligence. His articles on TDWI deal with advice for analysts, customer data profiling, master data management technology, and machine learning. . TDWI – David Loshin. Dataconomy.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

Jedox

OCTOBER 22, 2020

In addition to using data to inform your future decisions, you can also use current data to make immediate decisions. Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI). This exercise is mostly undertaken by QA teams.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

Ontotext

MAY 22, 2023

Doug Kimball : Using our knowledge graph, you can develop more complex analytics, such as data mining, Natural Language Processing (NLP) and Machine Learning (ML). With traditional data management systems, that can be difficult or in some cases can lead to more work than results. deduplication of people and addresses).

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

BizAcuity

APRIL 1, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. Without a strong BI infrastructure, it can be difficult to effectively collect, store, and analyze data.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. Without a strong BI infrastructure, it can be difficult to effectively collect, store, and analyze data.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

FineReport

MARCH 24, 2024

They analyze, interpret, and manipulate complex data, track key performance indicators, and present insights to management through reports and visualizations. Data analysts interpret data using statistical techniques, develop databases and data collection systems, and identify process improvement opportunities.

Statistics 52

Statistics Data mining Visualization Reporting 52

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

Cost-Benefit 75

Cost-Benefit Metadata Optimization Management 75

CIO Business Intelligence

JULY 22, 2024

But with analytics and AI becoming table-stakes to staying competitive in the modern business world, the Michigan-based company struggled to leverage its data. “We Dow Chemical Company is one of the largest chemical producers in the world, with a presence in roughly 160 countries and more than 37,000 employees worldwide.

Data Governance 119

Data Governance Unstructured Data Technology Manufacturing 119

Alation

AUGUST 26, 2021

Today, BI represents a $23 billion market and umbrella term that describes a system for data-driven decision-making. BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices.

Metadata 64

Metadata Data Governance Dashboards Software 64

Occam's Razor

NOVEMBER 13, 2009

Behavior targeting, dashboards, accuracy, data mining, predictive analytics, and, the thing you'll appreciate the most IMHO, five steps for intelligent analytics evolution! Some might argue, rightly so, that the most elusive thing to accomplish is to truly bring data democracy to your organization.

Analytics 71

Analytics Metrics Measurement Testing 71

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. You can use Talend to effectively and accurately integrate data from diverse data sources. Python enjoys strong portability.

Forecasting 52

Forecasting Dashboards Statistics Visualization 52

FineReport

APRIL 26, 2023

RapidMiner RapidMiner is an excellent open-source tool for Big Data Analytics that can handle data preparation, model development, and deployment, as well as custom data mining methods and predictive setup analysis through a series of add-ons. Here are the key features of Talend: Streamlines ETL and ELT for big data.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Occam's Razor

AUGUST 22, 2011

Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. Convert Data Skeptics: Document, Educate & Pick Your Poison. Data Mining And Predictive Analytics On Web Data Works? Web Analytics Data Sampling 411.

KPI 125

KPI Metrics Measurement ROI 125

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

Grooper

AUGUST 19, 2019

Data science skills. Technology – i.e. data mining, predictive analytics, and statistics. Best practices for exploring collected data. Data is crucial to the success of business analytics. Just as Henry Ford used data to ensure success in the early 1900’s, we also depend on volumes of high-quality data.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

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

Jet Global

MAY 9, 2024

ETL pipelines are commonly used in data warehousing and business intelligence environments, where data from multiple sources needs to be integrated, transformed, and stored for analysis and reporting. Data pipelines enable data integration from disparate healthcare systems, transforming and cleansing the data to improve data quality.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52