CIO Business Intelligence

APRIL 30, 2025

AI agents are valuable across sales, service, marketing, IT, HR, and really all business teams, says Andy White, SVP of business technology at Salesforce. Enriching the sales pipeline Jay Upchurch, CIO at SAS, backs agentic AI to enhance sales, marketing, IT, and HR motions. Use cases for AI agents span countless business workflows.

IT 139

IT Sales Cost-Benefit Data-driven 139

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

MARCH 20, 2025

At a press conference held in Seoul on March 20, SAP CEO Christian Klein personally introduced the Korean market to SAPs AI-specific services, describing how SAPs AI vision can help Korean companies realize theirs. SAP has established a partnership with Databricks for third-party data integration.

Data Integration 108

Data Integration Finance Software Technology 108

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. Market validation.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

David Menninger's Analyst Perspectives

OCTOBER 5, 2018

In 2017 Strata + Hadoop World was changed to the Strata Data Conference. That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data.

Marketing 140

Marketing Machine Learning Technology Management 140

CIO Business Intelligence

APRIL 25, 2024

Acting on data from anywhere in the flow of work. The data becomes part of Salesforce’s metadata framework and can thus be used in multiple ways, including generating BI or AI insights, marketing segmentation or activation, or creating unified customer experiences.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

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. Unlike direct Amazon S3 access, Iceberg supports these operations on petabyte-scale data lakes without requiring complex custom code. load(f"{table_name}.files").select(sum("record_count")).show(truncate=False)

Metadata 110

Metadata Snapshot Cost-Benefit Optimization 110

DataKitchen

JANUARY 25, 2022

The strategic value of analytics is widely recognized, but the turnaround time of analytics teams typically can’t support the decision-making needs of executives coping with fast-paced market conditions. When internal resources fall short, companies outsource data engineering and analytics.

Consulting 244

Consulting Testing Data Quality Data Lake 244

IBM Big Data Hub

AUGUST 24, 2022

The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

Data Integration 79

Data Integration Metadata Data-driven Data Architecture 79

David Menninger's Analyst Perspectives

DECEMBER 31, 2024

Such investments position enterprises to respond more effectively to market changes and customer demands. Integrating with various data sources is crucial for enhancing the capabilities of automation platforms , allowing enterprises to derive actionable insights from all available datasets. Regards, Jeff Orr

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

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

So from the start, we have a data integration problem compounded with a compliance problem. An AI project that doesn’t address data integration and governance (including compliance) is bound to fail, regardless of how good your AI technology might be. Some of these tasks have been automated, but many aren’t.

Data Integration 353

Data Integration Insurance Dashboards Data-driven 353

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

David Menninger's Analyst Perspectives

MAY 8, 2025

Many longstanding providers of data management products, such as Informatica, have adopted DataOps capabilities and methodologies, adapting product portfolios to cloud-based consumption and automated, collaborative and agile processes. Informatica is still closely associated with data integration.

Data Quality 130

Data Quality Data Governance Data Integration Software 130

DataKitchen

APRIL 13, 2021

Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity. As a result, vendors that market DataOps capabilities have grown in pace with the popularity of the practice.

Testing 304

Testing Machine Learning Consulting Data Science 304

AWS Big Data

DECEMBER 23, 2024

About Fitch Group and their need for multi-region resiliency As a leading global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets.

Data-driven 97

Data-driven Management Risk Big Data 97

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

CIO Business Intelligence

NOVEMBER 1, 2023

The reason the analyst’s view of the market is so unsatisfying isn’t hard to decipher. Their objective is to break this massive market down into evermore narrow categories so that they can compare vendors and create the nice little graphs that every tech vendor clamors to be included within. It literally made my head hurt.

Marketing 78

Marketing Enterprise Digital Transformation Optimization 78

AWS Big Data

MARCH 13, 2025

The data engineer asks Amazon Q Developer to identify datasets that contain lead data and uses zero-ETL integrations to bring the data into SageMaker Lakehouse. The data analyst then discovers it and creates a comprehensive view of their market.

Analytics 111

Analytics Data Lake Data Warehouse Data-driven 111

Smart Data Collective

JULY 20, 2021

According to market research – The global CRM market size was estimated at USD 43.7 The current market is overpacked with several CRMs; hence, selecting the best CRM for business operations has become challenging for organizations. However, there are many CRMs in the online market, but nothing can beat Salesforce.

Big Data 142

Big Data Sales Marketing Software 142

CIO Business Intelligence

NOVEMBER 19, 2024

The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both. Imagine that you’re a data engineer. The data is spread out across your different storage systems, and you don’t know what is where. Seamless data integration.

Management 116

Management Unstructured Data Deep Learning Metadata 116

DataKitchen

NOVEMBER 5, 2024

When data from various sources does not reach the Bronze layer on time, it can lead to stale insights and missed opportunities in the Gold layer, especially for time-sensitive applications like inventory tracking or marketing campaigns.

Data Quality 198

Data Quality Testing Metrics Reporting 198

Smarten

MAY 22, 2025

Fact-Based Analytics and Citizen Data Scientists = Results So, you want your business users to embrace and use analytics? You want your business to use the tools of business intelligence to improve market presence, customer satisfaction and team productivity and collaboration?

Analytics 62

Analytics Cost-Benefit Forecasting ROI 62

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. AWS Glue is used for this integration.

Sales 114

Sales Data-driven Data Processing Key Performance Indicator 114

David Menninger's Analyst Perspectives

MAY 9, 2024

The artificial intelligence (AI) market is exploding with activity, which is part of the reason we recently announced that we have dedicated an entire practice at Ventana Research to the topic. Large language models (LLMs) and generative AI (GenAI) have taken the AI world by storm.

Finance 130

Finance Sales Data Integration Marketing 130

Smart Data Collective

SEPTEMBER 8, 2021

Open-Source tools can vary considerably in integrations, quality, adoption, ease of use, and availability of support. A lot of Open-Source ETL tools house a graphical interface for executing and designing Data Pipelines. It can be used to manipulate, store, and analyze data of any structure. Cloud-based ETL Tools.

Data Warehouse 126

Data Warehouse Data Integration Marketing Software 126

Smarten

MAY 2, 2025

Enhanced dashboards and interactive visualizations enabled real-time performance monitoring, and streamlined workflows, and identified performance gaps, while ensuring data integrity and consistency across all divisions and operations. Download the Case study

Analytics 52

Analytics Manufacturing Dashboards Data Integration 52

Jen Stirrup

MAY 22, 2025

Enterprise AI will need Enterprise data Building on past achievements in streamlining disparate systems through data integration, SAP is now reshaping AI to be more intelligent, adaptable, and cloud-native, with a strong emphasis on enterprise adoption.

Uncertainty 64

Uncertainty Enterprise Data Integration Technology 64

CIO Business Intelligence

MAY 10, 2022

A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. Customer data platform benefits. By applying machine learning to the data, you can better predict customer behavior.

Advertising 122

Advertising Interactive Marketing Structured Data 122

Smart Data Collective

JUNE 1, 2022

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. How serious are data breaches? They are so serious that one out of every eight companies will be shut down by a data breach.

Revenue Optimization 145

Revenue Optimization Measurement Marketing Interactive 145

TDAN

AUGUST 18, 2020

Flexibility is one strong driver: heterogeneous data, integrating new data sources, and analytics all require flexibility. Over the last few years, a number of new graph databases came to market. We are in the era of graphs. Graphs are hot. Graphs deliver it in spades.

Data Integration 119

Data Integration Marketing Analytics Data Architecture 119

AWS Big Data

JANUARY 15, 2025

While real-time data is processed by other applications, this setup maintains high-performance analytics without the expense of continuous processing. This agility accelerates EUROGATEs insight generation, keeping decision-making aligned with current data.

IoT 110

IoT Machine Learning Metadata Data-driven 110

Smarten

FEBRUARY 26, 2025

Time and Expense In a world where new features and functionality must keep pace with market demand, the emergence of no-code and low-code allows developers to add analytical functionality quickly, while controlling costs and time to market.

Analytics 62

Analytics Cost-Benefit Visualization ROI 62

O'Reilly on Data

FEBRUARY 11, 2019

Data lineage, data catalog, and data governance solutions can increase usage of data systems by enhancing trustworthiness of data. Moving forward, tracking data provenance is going to be important for security, compliance, and for auditing and debugging ML systems. Data Platforms. Health and Medicine.

Big Data 271

Big Data Technology Machine Learning Deep Learning 271

datapine

NOVEMBER 11, 2021

With this industry having its boom in the past decade, the offer of new solutions with different features has grown exponentially making the market as competitive as ever. In fact, it is expected that by 2025, the BI market will grow to $33.3 Thanks to modern data connectors , data integration has never been easier.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

DataKitchen

APRIL 28, 2021

From an industry perspective, the topic of data fabrics is on fire. What is a Data Fabric? Whenever a new technology or architecture gains momentum, vendors hijack it for their own marketing purposes. This is happening to the term “data fabric.”

Statistics 246

Statistics Optimization Data Analytics Technology 246

AWS Big Data

JUNE 25, 2024

In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights. For more information on this feature, refer to Acceleration in Data Federation. What is Amazon Redshift?

Data Lake 121

Data Lake Cost-Benefit Data-driven Data Warehouse 121