CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

CIO Business Intelligence

OCTOBER 20, 2023

IT teams hold a lot of innovation power, as effective use of emerging technologies is crucial for informed decision-making and is key to staying a beat ahead of the competition. But adopting modern-day, cutting-edge technology is only as good as the data that feeds it. Innovation is crucial for business growth.

Data Integration 130

Data Integration Management Testing Cost-Benefit 130

Analytics Vidhya

MARCH 16, 2023

Introduction The data integration techniques ETL (Extract, Transform, Load) and ELT pipelines (Extract, Load, Transform) are both used to transfer data from one system to another.

Data Integration 348

Data Integration Analytics Data Processing Machine Learning 348

CIO Business Intelligence

MARCH 19, 2025

Discovering data across a hybrid infrastructure Harnessing the full potential of data in a hybrid environment starts with a thorough discovery process. Teams must first identify the information thats crucial to the business and any associated regulatory requirements.

Data Integration 52

Data Integration Data Quality Visualization Risk 52

CIO Business Intelligence

OCTOBER 19, 2023

The growing volume of data is a concern, as 20% of enterprises surveyed by IDG are drawing from 1000 or more sources to feed their analytics systems. Data integration needs an overhaul, which can only be achieved by considering the following gaps. Heterogeneous sources produce data sets of different formats and structures.

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

Smart Data Collective

SEPTEMBER 4, 2023

A security breach could compromise these data, leading to severe financial and reputational damage. Moreover, compromised data integrity—when the content is tampered with or altered—can lead to erroneous decisions based on inaccurate information. Backup your data, too. So, how can you guarantee this?

Data Integration 122

Data Integration Cost-Benefit Consulting Software 122

Data Virtualization

OCTOBER 11, 2024

Reading Time: 3 minutes Data integration is an important part of Denodo’s broader logical data management capabilities, which include data governance, a universal semantic layer, and a full-featured, business-friendly data catalog that not only lists all available data but also enables immediate access directly.

Data Integration 59

Data Integration Data Governance Management Data Architecture 59

Jet Global

DECEMBER 5, 2024

New drivers simplify Workday data integration for enhanced analytics and reporting RALEIGH, N.C. – The Simba Workday drivers provide secure access to Workday data for analytics, ETL (extract, transform, load) processes, and custom application development using both ODBC and JDBC technologies.

Data Integration 52

Data Integration Finance Data-driven Reporting 52

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

Management 324

Management Data Warehouse Data Quality Data Integration 324

O'Reilly on Data

OCTOBER 11, 2022

It’s possible to augment this basic process with OCR so the application can find data on paper forms, or to use natural language processing to gather information through a chat server. So from the start, we have a data integration problem compounded with a compliance problem. That’s the bad news.

Data Integration 351

Data Integration Insurance Dashboards Data-driven 351

AWS Big Data

SEPTEMBER 4, 2024

Effective data analytics relies on seamlessly integrating data from disparate systems through identifying, gathering, cleansing, and combining relevant data into a unified format. Depending on the size of the data in your account object in Salesforce, the job will take a few minutes to complete.

Data Integration 89

Data Integration Data Lake Data-driven Cost-Benefit 89

CIO Business Intelligence

FEBRUARY 27, 2025

According to a study from Rocket Software and Foundry , 76% of IT decision-makers say challenges around accessing mainframe data and contextual metadata are a barrier to mainframe data usage, while 64% view integrating mainframe data with cloud data sources as the primary challenge.

Metadata 98

Metadata Data Lake Cost-Benefit Forecasting 98

AWS Big Data

DECEMBER 15, 2023

With the exponential growth of data, companies are handling huge volumes and a wide variety of data including personally identifiable information (PII). PII is a legal term pertaining to information that can identify, contact, or locate a single person. For our solution, we use Amazon Redshift to store the data.

Data Lake 115

Data Lake Data Warehouse Big Data Structured Data 115

CIO Business Intelligence

MARCH 20, 2025

Business Data Cloud, released in February , is designed to integrate and manage SAP data and external data not stored in SAP to enhance AI and advanced analytics. SAP has established a partnership with Databricks for third-party data integration. This is an unprecedented level of customer interest.

Data Integration 108

Data Integration Finance Software Technology 108

AWS Big Data

JULY 10, 2024

Now you can author data preparation transformations and edit them with the AWS Glue Studio visual editor. The AWS Glue Studio visual editor is a graphical interface that enables you to create, run, and monitor data integration jobs in AWS Glue. In this scenario, you’re a data analyst in this company.

Interactive 106

Interactive Visualization Data Integration Statistics 106

DataKitchen

NOVEMBER 5, 2024

This failure can cascade to the Silver and Gold layers, where downstream dependencies on the raw data prevent those layers from updating accurately. Such issues often go unnoticed until a user or analyst reports missing information in a dashboard or report, by which point the delay has already impacted business decision-making.

Data Quality 195

Data Quality Testing Metrics Reporting 195

CIO Business Intelligence

DECEMBER 10, 2024

Applying customization techniques like prompt engineering, retrieval augmented generation (RAG), and fine-tuning to LLMs involves massive data processing and engineering costs that can quickly spiral out of control depending on the level of specialization needed for a specific task.

Modeling 116

Modeling Insurance Unstructured Data Experimentation 116

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

This is handled by Bigeye’s data observability platform via what it calls autometrics, which perform automated data quality checks as well as freshness, volume, and schema monitoring.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

CIO Business Intelligence

FEBRUARY 26, 2025

The problem is that, before AI agents can be integrated into a companys infrastructure, that infrastructure must be brought up to modern standards. In addition, because they require access to multiple data sources, there are data integration hurdles and added complexities of ensuring security and compliance.

IT 141

IT Enterprise Interactive Data Quality 141

Data Virtualization

APRIL 10, 2025

Citizens expect efficient services, The post Empowering the Public Sector with Data: A New Model for a Modern Age appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Modeling 76

Modeling Data Integration Management Data Architecture 76

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 279

Machine Learning Data Quality Statistics Modeling 279

David Menninger's Analyst Perspectives

DECEMBER 31, 2024

NLP also enables companies to analyze customer feedback and sentiment, leading to more informed strategic decisions. Integrating with various data sources is crucial for enhancing the capabilities of automation platforms , allowing enterprises to derive actionable insights from all available datasets.

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

AWS Big Data

JULY 26, 2023

Data is essential for businesses to make informed decisions, improve operations, and innovate. Integrating data from different sources can be a complex and time-consuming process. AWS Glue provides different authoring experiences for you to build data integration jobs.

Data Integration 90

Data Integration Interactive Machine Learning Big Data 90

CIO Business Intelligence

APRIL 8, 2025

As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant. Data lives across siloed systems ERP, CRM, cloud platforms, spreadsheets with little integration or consistency.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications.

IoT 100

IoT Machine Learning Metadata Data-driven 100

AWS Big Data

OCTOBER 21, 2024

Let’s briefly describe the capabilities of the AWS services we referred above: AWS Glue is a fully managed, serverless, and scalable extract, transform, and load (ETL) service that simplifies the process of discovering, preparing, and loading data for analytics. The curated data is cataloged, governed and managed using Amazon DataZone.

Sales 104

Sales Data-driven Data Processing Key Performance Indicator 104

O'Reilly on Data

MARCH 20, 2019

Reject on Negative Impact (RONI) : RONI is a technique that removes rows of data from the training data set that decrease prediction accuracy. See “ The Security of Machine Learning ” in section 8 for more information on RONI. Applying data integrity constraints on live, incoming data streams could have the same benefits.

Modeling 275

Modeling Machine Learning Predictive Modeling Consulting 275

Data Virtualization

FEBRUARY 6, 2025

Additionally, storage continued to grow in capacity, epitomized by an optical disk designed to store a petabyte of data, and the global Internet population. The post Denodos Predictions for 2025 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 65

Data Integration Management Data Warehouse IT 65

datapine

NOVEMBER 11, 2021

If you are looking to enter the BI software world but don’t know which features you should look for before investing in one, this post will cover the top business intelligence features and benefits to help you make an informed decision. Your Chance: Want to take your data analysis to the next level? b) Flexible Data Integration.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

CIO Business Intelligence

NOVEMBER 19, 2024

Some challenges include data infrastructure that allows scaling and optimizing for AI; data management to inform AI workflows where data lives and how it can be used; and associated data services that help data scientists protect AI workflows and keep their models clean. Seamless data integration.

Management 116

Management Unstructured Data Deep Learning Metadata 116

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

Data Virtualization

NOVEMBER 28, 2024

appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. One surprising statistic from the Rand Corporation is that 80% of artificial intelligence (AI). The post How Do You Know When You’re Ready for AI?

Statistics 52

Statistics Data Integration Management Data Quality 52

Cloudera

DECEMBER 4, 2024

introduces features to enhance developer productivity and streamline data pipeline development: Parameter Groups: Simplify flow management and promote reusability by grouping parameters and applying them across multiple flows. empowers data engineers to build and deploy data pipelines faster, accelerating time-to-value for the business.

Metrics 93

Metrics Data Integration Management Modeling 93

AWS Big Data

JANUARY 6, 2025

Amazon AppFlow bridges the gap between Google applications and Amazon Redshift, empowering organizations to unlock deeper insights and drive data-informed decisions. In this post, we show you how to establish the data ingestion pipeline between Google Analytics 4, Google Sheets, and an Amazon Redshift Serverless workgroup.

Analytics 94

Analytics Data Warehouse Big Data Metrics 94

Smart Data Collective

JUNE 1, 2022

Hackers have advanced tools and equipment to get into the company servers and extract crucial information. Such information is openly traded in the black market leading to a huge loss of profit. In this article, we will try to decipher the reasons behind organizations’ newfound obsession with data security.

Revenue Optimization 145

Revenue Optimization Measurement Marketing Interactive 145

David Menninger's Analyst Perspectives

FEBRUARY 10, 2022

Organizations of all sizes are dealing with exponentially increasing data volume and data sources, which creates challenges such as siloed information, increased technical complexities across various systems and slow reporting of important business metrics.

Analytics 246

Analytics Business Intelligence Metrics Reporting 246

AWS Big Data

JANUARY 9, 2025

Simplified data corrections and updates Iceberg enhances data management for quants in capital markets through its robust insert, delete, and update capabilities. These features allow efficient data corrections, gap-filling in time series, and historical data updates without disrupting ongoing analyses or compromising data integrity.

Metadata 106

Metadata Snapshot Cost-Benefit Optimization 106