Precisely

MARCH 7, 2024

That, in a nutshell, is why data integrity is so important. You should view enterprise data integrity through the same lens. Precisely believes that “the whole truth” is essential to data integrity. 53% of respondents cited missing information as a critical challenge impacting data quality.

Insurance 52

Insurance Data Integration Transportation Data 52

Precisely

NOVEMBER 20, 2023

The answers lie in data integrity and the contextual richness of the data that fuels your AI. Businesses must navigate many legal and regulatory requirements, including data privacy laws, industry standards, security protocols, and data sovereignty requirements. Contextual data. User trust and credibility.

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Raw Data Insurance Data Retail 121

Precisely

JULY 13, 2023

Location Intelligence Use Cases Use cases for geospatial data are virtually limitless. Financial institutions use geospatial data to detect anomalies and identify potential cases of fraud, for example. These families may be ideal prospects for credit card offers, cell phone plans, or auto insurance promotions.

Insurance 52

Insurance Telecommunication Data Governance Government 52

The Modern Data Company

APRIL 12, 2023

In the best-case scenario, they can lead to missing or inconsistent data, which can negatively impact the accuracy and reliability of analytics and undermine success in patient care. A centralized platform gives healthcare organizations a comprehensive view of patient data, essential for effective predictive analytics.

Healthcare 98

Healthcare Hospitality Medical Electronics 98

Monte Carlo

MARCH 28, 2023

A good description of these core responsibilities can be sen in an Amica Mutual Insurance job description: Responsible for creating and implementing an enterprise-wide Data Quality (DQ) strategy by working with business and technology partners to ensure alignment and dedication to objectives.

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Insurance Programming Language Manufacturing Healthcare 59

AltexSoft

JUNE 26, 2023

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. Data integration , on the other hand, happens later in the data management flow.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

MARCH 26, 2024

Design data models, schemas, and storage solutions for structured and unstructured data. Evaluate and recommend data management tools, database technologies, and analytics platforms. Develop data integration and ETL processes to ensure data quality, consistency, and integrity.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

JANUARY 30, 2024

For instance, GE Healthcare employed ETL to aggregate and integrate data from a multitude of local and cloud-native sources. This consolidation of data related to patient care, healthcare providers, and insurance claims streamlined processes and supported compliance efforts, ultimately enhancing efficiency and patient care.

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ETL Tools Database-centric Data Mining Data Cleanse 52

Precisely

MAY 3, 2023

Learn more The countdown is on to Trust ’23: the Precisely Data Integrity Summit! We recently announced the details of our annual virtual event , and we’re thrilled to once again bring together thousands of data professionals worldwide for two days of knowledge, insights, and inspiration for your data integrity journey.

Data Integration 52

Data Integration Government AWS Data Governance 52

Precisely

SEPTEMBER 7, 2023

Advanced data analytics enable insurance carriers to evaluate risk at a far more granular level than ever before, but big data can only deliver real business value when carriers ensure data integrity. Data quality is critical, but data integrity goes much further than accuracy, completeness, and consistency.

Insurance 52

Insurance Data Integration Data Government 52

Precisely

FEBRUARY 14, 2023

Digital transformation is a business imperative for every industry, especially insurance. That’s why more insurance companies are now turning to innovations like robotic process automation (RPA) and others. Is your customer-related data of high-enough quality to validate policyholders, match claimants to policies, and track status?

Insurance 52

Insurance Management Data Governance Data Integration 52

Precisely

OCTOBER 5, 2023

While answers will vary by organization, chances are there’s one commonality: it’s more data than ever before. But what do you do with all that data? Data enrichment is essential to achieving that critical element of context. Data enrichment is essential to achieving that critical element of context.

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

ProjectPro

AUGUST 24, 2021

A related example is when a vendor or insurer wants to know the number of products that will be returned because of failures. This data engineering project uses the following big data stack - Azure Structured Query Language (SQL) Database instance for persistent storage; to store forecasts and historical distribution data.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Precisely

FEBRUARY 14, 2023

Digital transformation is a business imperative for every industry, especially insurance. That’s why more insurance companies are now turning to innovations like robotic process automation (RPA) and others. Is your customer-related data of high-enough quality to validate policyholders, match claimants to policies, and track status?

Insurance 52

Insurance Management Data Governance Government 52

Monte Carlo

MAY 17, 2023

Many times this is by freeing them from having to manually implement and maintain hundreds of data tests as was the case with Contentsquare and Gitlab. “We We had too many manual data checks by operations and data analysts,” said Otávio Bastos, former global data governance lead, Contentsquare. “It

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Many times this is by freeing them from having to manually implement and maintain hundreds of data tests as was the case with Contentsquare and Gitlab. “We We had too many manual data checks by operations and data analysts,” said Otávio Bastos, former global data governance lead, Contentsquare. “It

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52

Precisely

MARCH 2, 2023

Contextual data is integral to building data integrity. Without it, organizations often lack confidence in the integrity of their data. To achieve true data integrity, organizations must attend to data integration, data governance, data quality, and context with data enrichment.

Building 52

Building Telecommunication Banking Insurance 52

Precisely

JUNE 1, 2023

Data drives innovation. Throughout our Trust ‘23 summit, Precisely has demonstrated just how critical data integrity is for surviving and thriving in today’s hyper-competitive business environment. The effective use of data is a determinant of who becomes the market leader and who can establish a lasting competitive advantage.

Management 52

Management Telecommunication Insurance Banking 52

Precisely

JUNE 1, 2023

Data drives innovation. Throughout our Trust ‘23 summit, Precisely has demonstrated just how critical data integrity is for surviving and thriving in today’s hyper-competitive business environment. The effective use of data is a determinant of who becomes the market leader and who can establish a lasting competitive advantage.

Management 52

Management Telecommunication Insurance Banking 52

Precisely

JANUARY 8, 2024

Insurance: gain a comprehensive view of property risks. Insurers can use location intelligence to help inform optimal policy pricing and prevent fraudulent claims (for example, if you know a location didn’t get hail on a particular Tuesday, you can challenge a claim that states otherwise).

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Insurance Telecommunication Retail Data Integration 64

Precisely

JANUARY 31, 2023

Read our eBook Bring Essential Context to Business Decisions with Location Intelligence and Data Enrichment This eBook will focus on two key elements of data integrity: location intelligence and data enrichment. Financial institutions use similar algorithms to identify patterns in credit card fraud.

Insurance 52

Insurance Retail Machine Learning Government 52

phData: Data Engineering

JULY 18, 2023

This complexity often necessitates the involvement of numerous experts who specialize in these individual systems to effectively extract the data. Enter Fivetran Fivetran automates the data integration process, helping reduce the overall effort required to manage data movement from different sources into your data warehouse.

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Data Warehouse Pipeline-centric Government Data 52