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

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 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

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

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

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

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

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 300

Testing Machine Learning Consulting Data Quality 300

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

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

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

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 94

Data Integration Snapshot Testing Visualization 94

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

CIO Business Intelligence

JANUARY 21, 2025

Thankfully, some vendors are stepping up to provide platformization, an integrated approach to deploying networking infrastructure so that it is simple to use, access, and manage with comprehensive workflows, common services, and data integrations. For more information, visit here.

IT 98

IT IoT Interactive Enterprise 98

CIO Business Intelligence

NOVEMBER 1, 2023

I hate the way enterprise IT industry analysts see the world. But it’s something that I not only feel myself, but that I hear (in various forms) from tech vendors and enterprise IT execs alike — all the time. The problem is that this process completely ignores the enterprise IT leader’s reality. So, let’s break the paradigm.

Marketing 78

Marketing Enterprise Digital Transformation Optimization 78

CIO Business Intelligence

OCTOBER 9, 2024

The rise of generative AI (GenAI) felt like a watershed moment for enterprises looking to drive exponential growth with its transformative potential. As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls.

Strategy 143

Strategy Modeling Management Data Lake 143

CIO Business Intelligence

JULY 13, 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 88

Enterprise Data Lake Data Collection Data-driven 88

CIO Business Intelligence

DECEMBER 6, 2023

Many enterprises are accelerating their artificial intelligence (AI) plans, and in particular moving quickly to stand up a full generative AI (GenAI) organization, tech stacks, projects, and governance. This article was co-authored by Shail Khiyara, President & COO, Turbotic, and Rodrigo Madanes, EY Global Innovation AI Leader.

Enterprise 92

Enterprise Strategy Modeling Data-driven 92

IBM Big Data Hub

JANUARY 9, 2024

This may also entail working with new data through methods like web scraping or uploading. Data governance is an ongoing process in the data lifecycle to help ensure compliance with laws and company best practices. Data integration: These tools enable companies to combine disparate data sources into one secure location.

Enterprise 71

Enterprise Data Integration Data Quality Contextual Data 71

DataKitchen

NOVEMBER 5, 2024

Next, data is processed in the Silver layer , which undergoes “just enough” cleaning and transformation to provide a unified, enterprise-wide view of core business entities. This stage involves validation, deduplication, and merging of data from different sources, ensuring that the data is in a more consistent and reliable format.

Data Quality 195

Data Quality Testing Metrics Reporting 195

O'Reilly on Data

FEBRUARY 11, 2019

The resource examples I’ll cite will be drawn from the upcoming Strata Data conference in San Francisco , where leading companies and speakers will share their learnings on the topics covered in this post. AI and machine learning in the enterprise. AI and machine learning in the enterprise. Data Platforms. Deep Learning.

Big Data 271

Big Data Technology Machine Learning Deep Learning 271

Cloudera

AUGUST 28, 2023

In the first article of this series, we are going to share the challenges of Enterprise adoption and propose a possible path to embrace these new technologies in a safe and controlled manner. However, enterprises have much more specific needs. They need the answers for their enterprise context.

Enterprise 76

Enterprise Machine Learning Modeling Data Processing 76

DataKitchen

APRIL 28, 2021

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Gartner included data fabrics in their top ten trends for data and analytics in 2019.

Statistics 246

Statistics Optimization Data Analytics Technology 246

David Menninger's Analyst Perspectives

MAY 9, 2024

Our team has also described how AI can help enterprises improve customer experiences , transform human capital management , improve marketing and sales effectiveness , enhance data integration processes and drive automation for enhanced efficiency.

Finance 130

Finance Sales Data Integration Marketing 130