Jet Global

NOVEMBER 6, 2019

Data integrity issues are a bigger problem than many people realize, mostly because they can’t see the scale of the problem. Errors and omissions are going to end up in large, complex data sets whenever humans handle the data. Prevention is the only real cure for data integrity issues.

Data Integration 58

Data Integration Reporting Data Processing Optimization 58

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 63

Enterprise Data Lake Data Collection Data-driven 63

Ontotext

MARCH 8, 2023

Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications. AI efforts had typically started with Data scientists getting hired to explore and figure out what’s in the data.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Cloudera

MARCH 5, 2024

But even with its rise, AI is still a struggle for some enterprises. AI, and any analytics for that matter, are only as good as the data upon which they are based. Cloudera is now the only provider to offer an open data lakehouse with Apache Iceberg for cloud and on-premises. And that’s where the rub is.

Snapshot 89

Snapshot Data Lake Enterprise Data Governance 89

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 Technology Data Analytics 246

AWS Big Data

NOVEMBER 10, 2023

Your applications can seamlessly read from and write to your Amazon Redshift data warehouse while maintaining optimal performance and transactional consistency. Additionally, you’ll benefit from performance improvements through pushdown optimizations, further enhancing the efficiency of your operations.

Data Processing 93

Data Processing Data Lake Data Warehouse Optimization 93

Ontotext

DECEMBER 1, 2023

Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. ” With new business lines, leading to new tools, a lot of diverse and siloed data inevitably enters enterprise systems. Sumit started his talk by laying out the problems in today’s data landscapes.

Metadata 78

Metadata Sales Consulting Enterprise 78

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 259

Machine Learning Data Quality Statistics Modeling 259

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 135

Data Strategy Strategy Unstructured Data Data Governance 135

CIO Business Intelligence

APRIL 1, 2024

Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. Data preparation, including anonymizing, labeling, and normalizing data across sources, is key. You’ll also institute guardrails for data governance, data quality, data integrity, and data security.

Data Lake 127

Data Lake Consulting Uncertainty Risk 127

AWS Big Data

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. But integrating data isn’t easy.

Data Warehouse 92

Data Warehouse Data-driven Machine Learning B2B 92

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

IBM Big Data Hub

JUNE 29, 2023

For example, the sales department might develop a plan to enter new markets or launch new products, while the supply chain department focuses on inventory optimization and ensuring efficient logistics. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

CIO Business Intelligence

APRIL 5, 2023

Before organizations map an architectural approach to data, the first thing that they should understand is data intelligence. With that foundation, CIOs can move on to considering emerging best practices and options for cloud architecture and cloud solution optimization. Hear how Novanta Inc. Don’t miss out – register today.

Strategy 85

Strategy Data Strategy Digital Transformation Data-driven 85

Smarten

APRIL 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics? There are many business issues surrounding the use of data to make decisions. One such issue is the inability of an organization to gather and analyze data.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

AWS Big Data

MARCH 14, 2024

VMware Tanzu CloudHealth is the cloud cost management platform of choice for more than 20,000 organizations worldwide, who rely on it to optimize and govern their largest and most complex multi-cloud environments. The unwavering reliability of Kafka aligns with our commitment to data integrity.

Management 108

Management Insurance Optimization Strategy 108

IBM Big Data Hub

JULY 28, 2023

As an independent software vendor (ISV), we at Primeur embed the Open Liberty Java runtime in our flagship data integration platform, DATA ONE. Primeur and DATA ONE As a smart data integration company, we at Primeur believe in simplification. Data Shaper , providing any-to-any data transformations.

Data Integration 55

Data Integration Optimization Software Insurance 55

Smart Data Collective

JULY 20, 2021

Big data technology is incredibly important in modern business. One of the most important applications of big data is with building relationships with customers. Every enterprise wants to improve its business relationship and productivity. It is one of the powerful big data integration tools which marketing professionals use.

Sales 141

Sales Big Data Marketing Software 141

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. GDPR: Key Differences.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Ontotext

APRIL 6, 2023

It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

IBM Big Data Hub

JANUARY 26, 2024

Founded in 2006, Shuto Technology is a leading asset management solution provider in China that focuses on helping industry-leading enterprises build asset operation and management platforms, and empower their core competitiveness through digitalization. Shuto also combines IBM Maximo® best practices and international standards (e.g.

Cost-Benefit 72

Cost-Benefit Enterprise Technology KPI 72

CIO Business Intelligence

APRIL 25, 2022

They require specific data inputs, models, algorithms and they deliver very specific recommendations. To deliver accurate, high-confidence recommendations is no easy task, so accelerators can provide helpful starting points for enterprises,” Henschen said. Recommendations also include suggestions for product development choices.

Recreation/Entertainment 112

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 112

IBM Big Data Hub

DECEMBER 4, 2023

AAR Corp, a private provider of aviation services, is considering the use of generative AI to optimize inventory management, provide predictive maintenance, improve warehouse operations and automate parts ordering. They must also make sure that customer data is secure and that its use is compliant with data privacy regulations.

Optimization 68

Optimization Testing Machine Learning Measurement 68

CIO Business Intelligence

NOVEMBER 8, 2023

We’re a legacy company,” said Michelle Clark, AVP, Enterprise Systems at Union Pacific Railroad. Having one ecosystem for operational data, people data, and financial data supports better business decision-making long term, which adds to shareholder value.”

Cost-Benefit 115

Cost-Benefit Digital Transformation Data-driven Finance 115

Smarten

JUNE 8, 2022

‘Citizen Data Scientists can create new models, share models and collaborate, thereby improving business results and data literacy.’. In this article, we provide some examples of what a Citizen Data Scientist can do to advance the goals and interests of the organization and optimize their productivity and performance.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

FineReport

APRIL 9, 2024

Optimized Operational Efficiency: These tools streamline processes and resource allocation, leading to cost savings and improved resource utilization. In addition to security concerns, achieving seamless healthcare data integration and interoperability presents its own set of challenges.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

OCTOBER 1, 2022

The digital transformation of P&G’s manufacturing platform will enable the company to check product quality in real-time directly on the production line, maximize the resiliency of equipment while avoiding waste, and optimize the use of energy and water in manufacturing plants.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

AWS Big Data

APRIL 29, 2024

Addressing big data challenges – Big data comes with unique challenges, like managing large volumes of rapidly evolving data across multiple platforms. Effective permission management helps tackle these challenges by controlling how data is accessed and used, providing data integrity and minimizing the risk of data breaches.

Management 96

Management Big Data Metadata Data Warehouse 96

IBM Big Data Hub

JANUARY 11, 2024

Modern enterprises face many types of disasters, including pandemics, cyberattacks , large-scale power outages and natural disasters. In this article, we’re going to look at some common threats and how disaster recovery plans (DRPs) and solutions can optimize preparedness. million—a 15% increase over the last 3 years.

Cost-Benefit 94

Cost-Benefit Risk Enterprise Software 94

Smarten

SEPTEMBER 28, 2022

In order to understand how businesses might use assisted predictive modeling and predictive analytics, let’s look at some business use cases and how analytical techniques can help the enterprise derive concise, clear information to support decisions and strategies. Marketing Optimization. Predictive Analytics Using External Data.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

CDW Research Hub

MAY 28, 2021

Trends in data storage give us insight into how the storage market is changing. Data storage systems have become a mission-critical component of enterprise IT infrastructure. Organizations will need to be prepared for the next wave of the data boom by adopting storage solutions that are agile, scalable, secure and flexible.

Optimization 52

Optimization Deep Learning Enterprise Software 52

erwin

MAY 14, 2021

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today, it provides even greater value because critical data exists in both structured and unstructured formats and lives both on premises and in the cloud.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

AWS Big Data

FEBRUARY 8, 2023

Vyaire developed a custom data integration platform, iDataHub, powered by AWS services such as AWS Glue , AWS Lambda , and Amazon API Gateway. In this post, we share how we extracted data from SAP ERP using AWS Glue and the SAP SDK. Prahalathan M is the Data Integration Architect at Vyaire Medical Inc.

Testing 72

Testing Data Integration Data Lake Enterprise 72

erwin

OCTOBER 8, 2020

By using automated and repeatable capabilities, you can quickly and safely migrate data to the cloud and govern it along the way. But transforming and migrating enterprise data to the cloud is only half the story – once there, it needs to be governed for completeness and compliance. GDPR, CCPA, HIPAA, SOX, PIC DSS).

Data Governance 145

Data Governance Metadata Testing Data Lake 145

CIO Business Intelligence

APRIL 29, 2022

Despite soundings on this from leading thinkers such as Andrew Ng , the AI community remains largely oblivious to the important data management capabilities, practices, and – importantly – the tools that ensure the success of AI development and deployment. Further, data management activities don’t end once the AI model has been developed.

Data Governance 144

Data Governance IT Risk Data Lake 144

IBM Big Data Hub

MARCH 25, 2024

This blog and the IBM Institute for Business Value study The Revolutionary Content Supply Chain aim to answer these questions to help executives and their employees to better understand the changing landscape in content creation and embrace the power of generative AI models when it comes to optimizing their content supply chains.

Uncertainty 98

Uncertainty Cost-Benefit Risk Measurement 98

AWS Big Data

MARCH 29, 2024

Analyzing historical patterns allows you to optimize performance, identify issues proactively, and improve planning. You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. Outside of work, Xiaorun enjoys exploring new places in the Bay Area.

Metrics 105

Metrics Visualization Dashboards Interactive 105