CIO Business Intelligence

OCTOBER 9, 2024

How will organizations wield AI to seize greater opportunities, engage employees, and drive secure access without compromising data integrity and compliance? While it may sound simplistic, the first step towards managing high-quality data and right-sizing AI is defining the GenAI use cases for your business.

Strategy 143

Strategy Modeling Management Data Lake 143

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

APRIL 30, 2025

And other technical areas, like low-code data integration, are set to get a boost as well, and Gartners 2024 Magic Quadrant report says that incorporating AI assistants and AI-enhanced workflows into data integration tools will reduce manual intervention by 60%.

IT 139

IT Sales Cost-Benefit Data-driven 139

CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Smart Data Collective

JANUARY 21, 2021

Therefore, to mitigate the risk of losing essential data forever in a data breach or other crisis, every competitive firm should work on its backup strategy to keep such information safe from violation. Now let’s find out why having a working backup strategy is so important. The Pros of Possessing a Backup Plan.

Strategy 141

Strategy Risk Software Enterprise 141

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. It empowers organizations to streamline data integration and analytics. Kamen Sharlandjiev is a Sr. His secret weapon?

Data Integration 110

Data Integration Data Lake Data-driven Cost-Benefit 110

AWS Big Data

JANUARY 9, 2025

In our previous post Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg , we showed how to use Apache Iceberg in the context of strategy backtesting. Our analysis shows that Iceberg can accelerate query performance by up to 52%, reduce operational costs, and significantly improve data management at scale.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

CIO Business Intelligence

APRIL 8, 2025

I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. However, even the most sophisticated models and platforms can be undone by a single point of failure: poor data quality. This challenge remains deceptively overlooked despite its profound impact on strategy and execution.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

OCTOBER 24, 2024

Jayesh Chaurasia, analyst, and Sudha Maheshwari, VP and research director, wrote in a blog post that businesses were drawn to AI implementations via the allure of quick wins and immediate ROI, but that led many to overlook the need for a comprehensive, long-term business strategy and effective data management practices.

ROI 127

ROI Data-driven Enterprise Experimentation 127

David Menninger's Analyst Perspectives

DECEMBER 31, 2024

Investing in task orchestration and management technologies aligns with broader digital transformation strategies necessary for maintaining competitive advantage. Utilizing these technologies helps reinforce the need for IT capabilities to evolve alongside business strategies, thereby enhancing overall organizational agility.

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

Smart Data Collective

NOVEMBER 9, 2020

There can be many reasons for you to migrate data, such as overhauling the entire system, upgrading the current database, merge the data with the new source, or expanding the existing one. Make sure that you adhere to the best possible migration strategy, regardless of why it is a must for successful data migration.

Strategy 108

Strategy Cost-Benefit Software Testing 108

CIO Business Intelligence

DECEMBER 20, 2024

Data architecture vs. data modeling According to Data Management Book of Knowledge (DMBOK 2) , data architecture defines the blueprint for managing data assets as aligning with organizational strategy to establish strategic data requirements and designs to meet those requirements. Data integrity.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

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. It is difficult to answer that kind of question with nothing but data.

Data Integration 351

Data Integration Insurance Dashboards Data-driven 351

CIO Business Intelligence

SEPTEMBER 6, 2023

Fortunately, IT leaders can do both by adopting a composable ERP strategy that is focused on enabling business outcomes via flexible, best-fit technology that surrounds the existing core ERP solution. Differences between integrated ERP and composable ERP An integrated ERP suite is the de facto approach for many companies.

Strategy 106

Strategy Uncertainty Cost-Benefit Optimization 106

AWS Big Data

NOVEMBER 11, 2024

Disaster recovery is vital for organizations, offering a proactive strategy to mitigate the impact of unforeseen events like system failures, natural disasters, or cyberattacks. In Disaster Recovery (DR) Architecture on AWS, Part I: Strategies for Recovery in the Cloud , we introduced four major strategies for disaster recovery (DR) on AWS.

Snapshot 111

Snapshot Strategy Dashboards Data Lake 111

O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Data Platforms. Data Integration and Data Pipelines. Data preparation, data governance, and data lineage.

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

AWS Big Data

FEBRUARY 21, 2024

AWS Glue is a serverless data integration service that makes it straightforward to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. If the strategy is capacity , it will order them from most IPs free to fewest.

Strategy 116

Strategy Visualization Management IT 116

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

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. To learn more, visit us here.

Modeling 116

Modeling Insurance Unstructured Data Experimentation 116

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 104

Data Strategy Strategy Data Warehouse Prescriptive Analytics 104

CDW Research Hub

NOVEMBER 17, 2021

On the other hand, poor data visibility can make safeguarding data more difficult, potentially leading to an organization unwittingly exposing data or making it non-compliant with regulations. Prioritize data protection. Effective data management includes a robust data protection strategy.

Strategy 83

Strategy Data Governance Data Warehouse Data-driven 83

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization strategy: Managing data as a product Every organization has the potential to monetize their data; for many organizations, it is an untapped resource for new capabilities. Doing so can increase the quality of data integrated into data products.

Strategy 103

Strategy Data-driven Cost-Benefit Measurement 103

DataKitchen

MAY 14, 2024

Session 1: Setting the Stage for Data Excellence In our opening session, we will explore the foundational concepts of data testing versus data quality and discuss the critical role of data testing within the data journey.

Data Quality 198

Data Quality Testing Metrics Measurement 198

CIO Business Intelligence

NOVEMBER 19, 2024

These improvements are geared toward managing the most intense AI workloads with ease so that enterprises can execute their AI strategies without performance bottlenecks. 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

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

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

NOVEMBER 29, 2022

Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data. It’s the only way to drive a strategy to execute at a high level, with speed and scale, and spread that success to other parts of the organization. Data and cloud strategy must align.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

AWS Big Data

MARCH 13, 2025

To identify the most promising opportunities, the team develops a segmentation strategy. 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.

Analytics 114

Analytics Data Lake Data Warehouse Data-driven 114

Data Virtualization

OCTOBER 17, 2024

That’s where combining a logical data abstraction layer with Snowflake’s powerful data capabilities comes. The post Transform Your Data Strategy with the Denodo Platform and Snowflake appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data-driven Data Integration 52

O'Reilly on Data

DECEMBER 12, 2019

That’s where remediation strategies come in. We discuss seven remediation strategies below. Data augmentation. ML models learn from data to become accurate, and ML models require data that’s truly representative of the entire problem space being modeled. You’ve even discovered a few problems with your ML model.

Machine Learning 276

Machine Learning Modeling Testing Risk Management 276

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. He has around 20 years of software development and architecture experience.

Sales 116

Sales Data-driven Data Processing Key Performance Indicator 116

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.

Testing 304

Testing Machine Learning Consulting Data Science 304

O'Reilly on Data

MARCH 20, 2019

Data integrity constraints: Many databases don’t allow for strange or unrealistic combinations of input variables and this could potentially thwart watermarking attacks. Applying data integrity constraints on live, incoming data streams could have the same benefits. Disparate impact analysis: see section 1.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

datapine

FEBRUARY 10, 2021

When connecting your social media channels through a modern dashboard tool , you need to take into account the data integration and connection process. Whereas static spreadsheets can deliver some value in your analysis, they cannot enable you to connect multiple channels at once and visualize data in real-time.

Dashboards 193

Dashboards Scorecard KPI Metrics 193

Data Virtualization

APRIL 30, 2025

Modern data architectures like data lakehouses and cloud-native ecosystems were supposed to solve this, promising centralized access and scalability. The post Why Every Organization Needs a Data Marketplace appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Architecture 64

Data Architecture Data Integration Management IT 64

datapine

NOVEMBER 11, 2021

For instance, you can add all your data sources into one single point of access within seconds, and the tool will automatically update them with no need for manual work saving a lot of time that can be dedicated to other tasks. BI tools aim to make data integration a simple task by providing the following features: a) Data Connectors.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

DataKitchen

NOVEMBER 10, 2023

As a result, data teams are often left shouldering the blame for poor data quality, feeling powerless in the face of changes imposed by others. A Call for Rapid Problem Identification and Resolution Data teams urgently need tools and strategies to identify data issues before they escalate swiftly.

Data Quality 139

Data Quality Testing Data Lake Data Integration 139