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. You wouldn’t want to make a business decision on flawed data, would you?

Data Integration 122

Data Integration Cost-Benefit Consulting Software 122

CIO Business Intelligence

MARCH 19, 2025

The steps described here can take months or even years to execute depending on the data needs of the business in question. Invest in purpose-built data integration Putting an emphasis on solutions that ease the data integration process can help uncover critical answers to many lingering data questions an organization might have.

Data Integration 52

Data Integration Data Quality Visualization Optimization 52

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

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

I previously explained that data observability software has become a critical component of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an environment for monitoring the quality and reliability of data on a continual basis.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

CIO Business Intelligence

NOVEMBER 17, 2022

By Milan Shetti, CEO Rocket Software In today’s fast-paced digital business world, organizations have become highly adaptive and agile to keep up with the ever-evolving demands of consumers and the market. Let’s take a closer look at the essential features cloud-first businesses should look for in a content management software.

Software 144

Software Management Digital Transformation Data Governance 144

AWS Big Data

SEPTEMBER 4, 2024

The rapid adoption of software as a service (SaaS) solutions has led to data silos across various platforms, presenting challenges in consolidating insights from diverse sources. Conclusion The AWS Glue connector for Salesforce simplifies the analytics pipeline, reduces time to insights, and facilitates data-driven decision-making.

Data Integration 109

Data Integration Data Lake Data-driven Cost-Benefit 109

CIO Business Intelligence

APRIL 30, 2025

Agentic AI is a natural extension for call centers as well since they already often deploy AI for areas like voice-to-text transcription, real-time multilingual translations, and sentiment analysis, says Luiz Domingos, CTO and head of large enterprise R&D at Mitel, a provider of call and contact center software.

IT 139

IT Sales Cost-Benefit Data-driven 139

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

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

FineReport

MAY 23, 2021

The first is clear design thinking, and the second is efficient report writing software. Here I list 5 top report maker software. Some are Saas Reporting software and some are on-promise software, and most of them provide a free version for trial or for personal use. But if you ask me which software is the best?

Software 98

Software Reporting Dashboards Visualization 98

Octopai

AUGUST 3, 2022

It’s also a critical trait for the data assets of your dreams. What is data with integrity? Data integrity is the extent to which you can rely on a given set of data for use in decision-making. Where can data integrity fall short? Too much or too little access to data systems.

Data Integration 98

Data Integration Manufacturing Data Quality Data Governance 98

CIO Business Intelligence

DECEMBER 18, 2023

IBM is bolstering its portfolio in artificial intelligence and hybrid cloud services, announcing a move to acquire Software AG’s enterprise integration platforms. In October, Software AG launched Streamsets and webMethods as its Super Ipaas business. IDC predicts the worldwide integration software market will exceed $18.0

Software 105

Software Digital Transformation Contextual Data Insurance 105

CIO Business Intelligence

DECEMBER 20, 2024

Data streaming is data flowing continuously from a source to a destination for processing and analysis in real-time or near real-time. A container orchestration system, such as open-source Kubernetes, is often used to automate software deployment, scaling, and management. Data integrity. Scalable data pipelines.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

CIO Business Intelligence

OCTOBER 24, 2024

AI-driven software development hits snags Gen AI is becoming a pervasive force in all phases of software delivery. Forrester noted that nearly every software tooling vendor incorporated a gen AI copilot capability into their tools in 2024, or announced plans to do so.

ROI 127

ROI Data-driven Enterprise Experimentation 127

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. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Interactive 116

Interactive Data Integration Visualization Statistics 116

AWS Big Data

JULY 26, 2023

Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

Data Integration 97

Data Integration Snapshot Testing Visualization 97

O'Reilly on Data

FEBRUARY 4, 2019

Our survey showed that companies are beginning to build some of the foundational pieces needed to sustain ML and AI within their organizations: Solutions, including those for data governance, data lineage management, data integration and ETL, need to integrate with existing big data technologies used within companies.

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

O'Reilly on Data

OCTOBER 11, 2022

meme originated in IT’s transformation from manual system administration to automated configuration management and software deployment. So from the start, we have a data integration problem compounded with a compliance problem. Nor can it be undertaken without addressing data integration problems head-on.

Data Integration 353

Data Integration Insurance Dashboards Data-driven 353

DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Production Monitoring Only.

Testing 304

Testing Machine Learning Consulting Data Science 304

CIO Business Intelligence

FEBRUARY 26, 2025

And in an October Gartner report, 33% of enterprise software applications will include agentic AI by 2033, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously. Having clean and quality data is the most important part of the job, says Kotovets. That has a pretty broad actionable area, he says.

IT 141

IT Enterprise Interactive Data Quality 141

CIO Business Intelligence

FEBRUARY 22, 2024

“Ultimately, CIOs may increasingly be held accountable for the veracity of the reporting, the third-party assurance of the data, and ensuring their organizations’ compliant disclosures align with their corporate ESG goals.” ESG software deployment is complex and, if done correctly, interwoven throughout enterprise systems,” she says.

Software 98

Software Reporting KPI Enterprise 98

O'Reilly on Data

DECEMBER 19, 2018

In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure. Humans are still needed to write software, but that software is of a different type. Developers of Software 1.0

Machine Learning 279

Machine Learning Software Metadata Testing 279

CIO Business Intelligence

FEBRUARY 27, 2025

A high hurdle many enterprises have yet to overcome is accessing mainframe data via the cloud. The absence of contextual metadata, variations in data formats and structures, and the different skill sets required to handle both cloud and mainframe data further hinder integration efforts.

Metadata 98

Metadata Data Lake Cost-Benefit Forecasting 98

datapine

NOVEMBER 11, 2021

1) Benefits Of Business Intelligence Software. a) Data Connectors Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. Benefits Of Business Intelligence Software.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

AWS Big Data

DECEMBER 4, 2024

From the Unified Studio, you can collaborate and build faster using familiar AWS tools for model development, generative AI, data processing, and SQL analytics. This experience includes visual ETL, a new visual interface that makes it simple for data engineers to author, run, and monitor extract, transform, load (ETL) data integration flow.

Visualization 118

Visualization Sales Data-driven Analytics 118

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. Software 2.0 and Snorkel”.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

AWS Big Data

JULY 26, 2023

AWS Glue provides different authoring experiences for you to build data integration jobs. Data scientists tend to run queries interactively and retrieve results immediately to author data integration jobs. This interactive experience can accelerate building data integration pipelines.

Data Integration 98

Data Integration Interactive Machine Learning Big Data 98

AWS Big Data

DECEMBER 16, 2024

Third, some services require you to set up and manage compute resources used for federated connectivity, and capabilities like connection testing and data preview arent available in all services. To solve for these challenges, we launched Amazon SageMaker Lakehouse unified data connectivity.

Visualization 94

Visualization Data Processing Testing Publishing 94

AWS Big Data

NOVEMBER 22, 2024

About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. He is responsible for building software artifacts to help customers. Pradeep Patel is a Software Development Manager on the AWS Glue team. Chuhan Liu is a Software Engineer at AWS Glue.

Cost-Benefit 105

Cost-Benefit Data-driven Software Testing 105

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

O'Reilly on Data

MAY 21, 2019

Developers will find themselves increasingly building software that has ML elements. Thus, many developers will need to curate data, train models, and analyze the results of models. With that said, we are still in a highly empirical era for ML: we need big data, big models, and big compute. and managed services in the cloud.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

AWS Big Data

OCTOBER 21, 2024

For producers seeking collaboration with partners, AWS Clean Rooms facilitates secure collaboration and analysis of collective datasets without the need to share or duplicate underlying data. It provides data catalog, automated crawlers, and visual job creation to streamline data integration across various data sources and targets.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

DataKitchen

MAY 14, 2024

Chris will overview data at rest and in use, with Eric returning to demonstrate the practical steps in data testing for both states. Session 3: Mastering Data Testing in Development and Migration During our third session, the focus will shift towards regression and impact assessment in development cycles.

Data Quality 198

Data Quality Testing Metrics Measurement 198

CIO Business Intelligence

NOVEMBER 19, 2024

NetApp is committed to delivering industry-leading performance through its upcoming enhancements to the NetApp AFF series systems and the ONTAP software. Seamless data integration. The AI data management engine is designed to offer a cohesive and comprehensive view of an organization’s data assets.

Management 116

Management Unstructured Data Deep Learning Metadata 116

O'Reilly on Data

NOVEMBER 13, 2018

At the recent Strata Data conference we had a series of talks on relevant cultural, organizational, and engineering topics. Here's a list of a few clusters of relevant sessions from the recent conference: Data Integration and Data Pipelines. Data Platforms. Alon Kaufman on “Machine learning on encrypted data”. “How

Machine Learning 277

Machine Learning Risk Management Statistics 277

Smart Data Collective

JULY 20, 2021

Therefore, CRM software comes into the picture to help enterprises achieve their business targets. These software tools rely on sophisticated big data algorithms and allow companies to boost their sales, business productivity and customer retention. Every enterprise wants to improve its business relationship and productivity.

Big Data 142

Big Data Sales Marketing Software 142

David Menninger's Analyst Perspectives

JANUARY 11, 2022

And as the organization increases its data sources and adds more systems and custom applications, it becomes challenging to manage the data consistently and keep data definitions up to date.

Software 231

Software Enterprise Management Analytics 231