CIO Business Intelligence

MAY 6, 2025

Deep within nearly every enterprise lies a massive trove of organizational data. An accumulation of transactions, customer information, operational data, and all sorts of other information, it holds a tremendous amount of value. Particularly, are they achieving real-time data integration ?

Data Integration 52

Data Integration Metadata Data-driven Modeling 52

KDnuggets

APRIL 19, 2022

Let's take a look at what goes into creating a foundation for enterprise-wide data intelligence and how AI and ML can permanently transform data integration.

Data Integration 141

Data Integration Enterprise 141

Smart Data Collective

OCTOBER 20, 2021

The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration. Why is Data Integration a Challenge for Enterprises?

Data Integration 133

Data Integration Machine Learning Big Data Statistics 133

Analytics Vidhya

MAY 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction Azure Synapse Analytics is a cloud-based service that combines the capabilities of enterprise data warehousing, big data, data integration, data visualization and dashboarding.

Analytics 373

Analytics Predictive Analytics Dashboards Big Data 373

David Menninger's Analyst Perspectives

MAY 20, 2025

Domo is best known as a business intelligence (BI) and analytics software provider, thanks to its functionality for visualization, reporting, data science and embedded analytics. Domos platform addresses the full breadth of an enterprises analytics needs. Workspaces is in alpha testing. Regards, Matt Aslett

Metrics 130

Metrics Data Governance Unstructured Data Data-driven 130

CIO Business Intelligence

OCTOBER 19, 2023

That’s just one of the many ways to define the uncontrollable volume of data and the challenge it poses for enterprises if they don’t adhere to advanced integration tech. As well as why data in silos is a threat that demands a separate discussion. This post handpicks various challenges for existing integration solutions.

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

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

DECEMBER 20, 2024

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. DAMA-DMBOK 2.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

CIO Business Intelligence

FEBRUARY 26, 2025

Agentic AI was the big breakthrough technology for gen AI last year, and this year, enterprises will deploy these systems at scale. According to a January KPMG survey of 100 senior executives at large enterprises, 12% of companies are already deploying AI agents, 37% are in pilot stages, and 51% are exploring their use.

IT 141

IT Enterprise Interactive Data Quality 141

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 19, 2024

Maintaining quality and trust is a perennial data management challenge, the importance of which has come into sharper focus in recent years thanks to the rise of artificial intelligence (AI). Like other data observability software providers, Bigeye could be making more of its applicability to support AI and GenAI use cases.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

David Menninger's Analyst Perspectives

MAY 15, 2025

For context, read this perspective by my colleague, Matt Aslett, on the importance of local data processing. Our research shows that more than half of enterprises (58%) have the majority of data platforms in the cloud, but a substantial portion is deployed on premises. Regards, David Menninger

Data Lake 130

Data Lake Data Warehouse Machine Learning Software 130

CIO Business Intelligence

APRIL 30, 2025

Agentic AI is the new frontier in AI evolution, taking center stage in todays enterprise discussion. And around 45% also cite data governance and compliance concerns. Always on, always improving As the enterprise AI journey unfolds, most IT leaders are taking a measured, iterative approach.

IT 139

IT Sales Cost-Benefit Data-driven 139

CIO Business Intelligence

OCTOBER 24, 2024

Their top predictions include: Most enterprises fixated on AI ROI will scale back their efforts prematurely. The expectation for immediate returns on AI investments will see many enterprises scaling back their efforts sooner than they should,” Chaurasia and Maheshwari said.

ROI 127

ROI Data-driven Enterprise Experimentation 127

CIO Business Intelligence

DECEMBER 10, 2024

Computing costs rising Raw technology acquisition costs are just a small part of the equation as businesses move from proof of concept to enterprise AI integration. million on inference, grounding, and data integration for just proof-of-concept AI projects. In fact, business spending on AI rose to $13.8

Modeling 116

Modeling Insurance Unstructured Data Experimentation 116

David Menninger's Analyst Perspectives

DECEMBER 31, 2024

Task automation platforms initially enabled enterprises to automate repetitive tasks, freeing valuable human resources for more strategic activities. Enterprises that adopt RPA report reductions in process cycle times and operational costs.

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

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

David Menninger's Analyst Perspectives

APRIL 30, 2025

In an earlier Analyst Perspective , I discussed data democratizations role in creating a data-driven enterprise agenda. Building a foundation of self-service data discovery , data-driven organizations provide more workers with the ability to analyze and use data.

Data-driven 130

Data-driven Enterprise Metrics Dashboards 130

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. The problem is even more magnified in the case of structured enterprise data.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

CIO Business Intelligence

NOVEMBER 19, 2024

The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.

Management 116

Management Unstructured Data Deep Learning Metadata 116

CIO Business Intelligence

FEBRUARY 27, 2025

A high hurdle many enterprises have yet to overcome is accessing mainframe data via the cloud. Giving the mobile workforce access to this data via the cloud allows them to be productive from anywhere, fosters collaboration, and improves overall strategic decision-making.

Metadata 98

Metadata Data Lake Cost-Benefit Forecasting 98

CIO Business Intelligence

SEPTEMBER 6, 2024

Unfortunately, many IT teams struggle to organize and track sensitive data across their environments. A workaround that IT teams in many organizations practice is simply moving or copying data from one source system to another. It multiplies data volume, inflating storage expenses and complicating management.

Metadata 116

Metadata Enterprise Management Cost-Benefit 116

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. DBT (Data Build Tool) — A command-line tool that enables data analysts and engineers to transform data in their warehouse more effectively. DataOps is a hot topic in 2021.

Testing 304

Testing Machine Learning Consulting Data Science 304

CIO Business Intelligence

MAY 20, 2025

Distributed ledgers can secure device identities, ensure data integrity and provide immutable audit trails. A shared responsibility The reality is that no single stakeholder be it vendor, enterprise or regulator can secure the IoT landscape alone. Quantum encryption. Its a shared responsibility. Its a foundation.

IoT 119

IoT Internet of Things Manufacturing Risk 119

Ontotext

JULY 29, 2021

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. And what are the commercial implications of semantic technologies for enterprise data? What is it? Which Semantic Web?

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

CIO Business Intelligence

APRIL 25, 2024

Carlson claimed this will allow developers to leverage Heroku Postgres data across Data Cloud-powered Salesforce experiences and existing Heroku applications. “We We have heard from our customers about unlocking trapped enterprise data for use in CRM and grounding generative AI,” he said.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

CIO Business Intelligence

JANUARY 11, 2024

CIOs are under increasing pressure to deliver AI across their enterprises – a new reality that, despite the hype, requires pragmatic approaches to testing, deploying, and managing the technologies responsibly to help their organizations work faster and smarter. The top brass is paying close attention.

Enterprise 128

Enterprise Uncertainty Reporting Risk Management 128

Corinium

APRIL 7, 2021

This brief explains how data virtualization, an advanced data integration and data management approach, enables unprecedented control over security and governance. In addition, data virtualization enables companies to access data in real time while optimizing costs and ROI.

Unstructured Data 195

Unstructured Data Management ROI Big Data 195

DataKitchen

JANUARY 25, 2022

There’s no shortage of consultants who will promise to manage the end-to-end lifecycle of data from integration to transformation to visualization. . The challenge is that data engineering and analytics are incredibly complex. The data requirements of a thriving business are never complete.

Consulting 244

Consulting Testing Data Lake Data Quality 244

CIO Business Intelligence

APRIL 8, 2025

I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. Key recommendations include investing in AI-powered cleansing tools and adopting federated governance models that empower domains while ensuring enterprise alignment. Inflexible schema, poor for unstructured or real-time data.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

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 98

Data Integration Snapshot Testing Visualization 98

AWS Big Data

OCTOBER 21, 2024

Data is the most significant asset of any organization. However, enterprises often encounter challenges with data silos, insufficient access controls, poor governance, and quality issues. Embracing data as a product is the key to address these challenges and foster a data-driven culture.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. That’s why we love that Cloudera uses NiFi and the way it integrates between all systems. What is the modern data stack?

Enterprise 104

Enterprise Data Lake Data Collection Data-driven 104

Data Virtualization

MAY 20, 2024

In my first post in this series, I introduced ways that data fabric and retrieval augmented generation (RAG) can support large. The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs?

Enterprise 95

Enterprise Data Integration Management Data Science 95

Jen Stirrup

MAY 22, 2025

It was interesting to see SAP subtly reinforce the message about the importance of connected enterprise data as a foundation for AI. But so is data, and it was good to see that the importance of good enterprise data was subtly underlined throughout.

Uncertainty 64

Uncertainty Enterprise Data Integration Technology 64

CIO Business Intelligence

MARCH 19, 2025

Achieving this requires a robust set of security and compliance solutions to help bridge the gap and enable consistently secure use of mainframe data in broader AI efforts.

Analytics 52

Analytics Enterprise Risk Management Strategy 52