Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. Most customer data, however, are housed in separate data silos.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

AWS Big Data

SEPTEMBER 20, 2023

She is passionate about designing and building end-to-end solutions to address customer data integration and analytic needs. Big Data Architect. Keerthi Chadalavada is a Senior Software Development Engineer at AWS Glue. Zach Mitchell is a Sr.

Interactive 90

Interactive Visualization Measurement Data Architecture 90

DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix. Azure DevOps.

Testing 300

Testing Machine Learning Consulting Data Quality 300

DataKitchen

NOVEMBER 18, 2021

For several years now, the elephant in the room has been that data and analytics projects are failing. Gartner estimated that 85% of big data projects fail. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Testing 246

Testing Data Governance Measurement Software 246

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization is not narrowly “selling data sets ;” it is about improving work and enhancing business performance by better-using data. External monetization opportunities enable different types of data in different formats to be information assets that can be sold or have their value recorded when used.

Strategy 105

Strategy Cost-Benefit Data-driven Measurement 105

IBM Big Data Hub

JANUARY 9, 2024

Currently, no standardized process exists for overcoming data ingestion’s challenges, but the model’s accuracy depends on it. Increased variance: Variance measures consistency. Insufficient data can lead to varying answers over time, or misleading outliers, particularly impacting smaller data sets.

Enterprise 73

Enterprise Data Integration Data Quality Contextual Data 73

datapine

DECEMBER 28, 2021

Statistics are infamous for their ability and potential to exist as misleading and bad data. Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! In 2012, the global mean temperature was measured at 58.2

Statistics 363

Statistics Advertising Visualization Data mining 363

AWS Big Data

JUNE 6, 2023

For example, medical researchers found that across 79,000 emergency department encounters of pediatric patients in a hospital, incorrect or missing patient weight measurements led to medication dosing errors in 34% of cases. Pay-as-you-go and cost-effective – AWS Glue Data Quality is charged based on the compute used.

Data Quality 94

Data Quality Statistics Data Lake Visualization 94

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Smart Data Collective

JUNE 1, 2022

Therefore, loss of data due to a cyber-attack would mean that your company does not value its consumers’ privacy and does not implement the necessary steps to ensure data protection. Usually, we find that the majority of cyber-attack victims are small businesses that are complacent with their data security measures.

Revenue Optimization 138

Revenue Optimization Measurement Marketing Interactive 138

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. Data integration and cleaning.

Machine Learning 255

Machine Learning Data Quality Statistics Modeling 255

IBM Big Data Hub

JUNE 29, 2023

Data integration and analytics IBP relies on the integration of data from different sources and systems. This may involve consolidating data from enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, supply chain management systems, and other relevant sources.

Key Performance Indicator 76

Key Performance Indicator Forecasting Data Integration Sales 76

AWS Big Data

AUGUST 22, 2023

This post proposes an automated solution by using AWS Glue for automating the PostgreSQL data archiving and restoration process, thereby streamlining the entire procedure. Vivek Shrivastava is a Principal Data Architect, Data Lake in AWS Professional Services. He is a big data enthusiast and holds 14 AWS Certifications.

Data Processing 88

Data Processing Testing Data Lake Data Integration 88

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. About the authors Gonzalo Herreros is a Senior Big Data Architect on the AWS Glue team.

Testing 77

Testing Data Lake Cost-Benefit Data Integration 77

AWS Big Data

JULY 19, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. We are now able to import data from Google Cloud Storage to Amazon S3. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Big Data 83

Big Data Software Consulting Unstructured Data 83

AWS Big Data

APRIL 28, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. With the Flex option, you can optimize the costs of your data integration workloads by up to 34%.

Optimization 94

Optimization Metrics Interactive Data Integration 94

CIO Business Intelligence

JUNE 7, 2022

Sentiment analysis: Sentiment analysis uses tools such as natural language processing , text analysis, computational linguistics, and so on, to understand the feelings expressed in the data. Data analysts and others who work with analytics use a range of tools to aid them in their roles.

Data Analytics 122

Data Analytics Diagnostic Analytics Management Analytics 122

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

IBM Big Data Hub

MARCH 25, 2024

Get the study: The Revolutionary Content Supply Chain A content supply chain brings together people, processes, and technology to effectively plan, create, produce, launch, measure, and manage content. It encompasses an end-to-end content journey—a journey that can create faster time to value.

Uncertainty 98

Uncertainty Cost-Benefit Risk Measurement 98

AWS Big Data

JUNE 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions.

Data Quality 75

Data Quality Data Lake Data-driven Metrics 75

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

NOVEMBER 13, 2023

As Gameskraft’s portfolio of gaming products increased, it led to an approximate five-times growth of dedicated data analytics and data science teams. Consequently, there was a fivefold rise in data integrations and a fivefold increase in ad hoc queries submitted to the Redshift cluster.

Data Warehouse 92

Data Warehouse Data Lake Analytics Data Science 92

IBM Big Data Hub

DECEMBER 11, 2023

Security The migration of resources and workloads across hybrid cloud architecture is orchestrated by containers or encrypted application programming interfaces (APIs) that transfer data between cloud computing services or cloud services and on-premises applications. This redundancy prevents data loss if one of the backups is comprised.

Cost-Benefit 103

Cost-Benefit Data Processing Strategy Software 103

IBM Big Data Hub

NOVEMBER 10, 2023

When combined with artificial intelligence (AI), an interoperable healthcare data platform has the potential to bring about one of the most transformational changes in history to US healthcare, moving from a system in which events are currently understood and measured in days, weeks, or months into a real-time inter-connected ecosystem.

Cost-Benefit 97

Cost-Benefit Insurance Consulting Unstructured Data 97

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 69

Modeling Sales Data Warehouse Snapshot 69

IBM Big Data Hub

DECEMBER 4, 2023

In May, the European Union Aviation Safety Agency (EASA) released the second version of its AI Roadmap , which provides a comprehensive plan for the integration of AI in aviation, with a focus on safety, security, AI assurance, human factors and ethical considerations.

Optimization 68

Optimization Testing Machine Learning Measurement 68

AWS Big Data

FEBRUARY 21, 2024

Amazon MSK serves as a highly scalable, and fully managed service for Apache Kafka, allowing for seamless collection and processing of vast streams of data. Integrating streaming data into Amazon Redshift brings immense value by enabling organizations to harness the potential of real-time analytics and data-driven decision-making.

Analytics 107

Analytics Management Data-driven Data Integration 107

AWS Big Data

MAY 16, 2024

Big Data and ETL Solutions Architect, MWAA and AWS Glue ETL expert. He’s on a mission to make life easier for customers who are facing complex data integration and orchestration challenges. Args: web_server_host_name (str): The hostname of the MWAA web server. Kamen Sharlandjiev is a Sr. His secret weapon?

Testing 89

Testing Interactive Metrics Management 89

CIO Business Intelligence

FEBRUARY 6, 2023

BI can help you in the following ways: Identify market trends: Managers and analysts can use data collected from various sources to identify upcoming and maturing products in the market and changing consumer consumption patterns. They can then use this data to measure the company’s sales performance and predict future outcomes.

Business Intelligence 60

Business Intelligence Forecasting Marketing Sales 60

AWS Big Data

MAY 23, 2024

Hundreds of thousands of organizations build data integration pipelines to extract and transform data. They establish data quality rules to ensure the extracted data is of high quality for accurate business decisions. These rules assess the data based on fixed criteria reflecting current business states.

Data Quality 87

Data Quality Metrics Data Lake Sales 87

IBM Big Data Hub

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way.

Cost-Benefit 77

Cost-Benefit Metadata Data Governance Modeling 77

Cloudera

NOVEMBER 19, 2020

Cloudera Data Platform (CDP) is a solution that integrates open-source tools with security and cloud compatibility. Governance: With a unified data platform, government agencies can apply strict and consistent enterprise-level data security, governance, and control across all environments.

Machine Learning 117

Machine Learning Data-driven Modeling Deep Learning 117

IBM Big Data Hub

OCTOBER 30, 2023

By combining IBM’s advanced data and AI capabilities powered by Watsonx platform with AWS’s unparalleled cloud services, the partnership aims to create an ecosystem where businesses can seamlessly integrate AI into their operations.

Insurance 79

Insurance Data Warehouse Data-driven Unstructured Data 79

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

erwin

FEBRUARY 4, 2021

Automate code generation : Alleviate the need for developers to hand code connections from data sources to target schema. It also makes it easier for business analysts, data architects, ETL developers, testers and project managers to collaborate for faster decision-making.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89