Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. However, they require a strong data foundation to be effective.

Data Analytics 72

Data Analytics Data Integration Data Governance Government 72

Snowflake

JULY 31, 2024

They cite several contributing factors to ongoing deficits at AMCs, including reduced private insurance reimbursement, gaps in government payments for care and increased labor costs. They provide tools to align the data with open community data standards.

Medical 86

Medical Healthcare Insurance Hospitality 86

Precisely

JUNE 24, 2024

The Precisely team recently had the privilege of hosting a luncheon at the Gartner Data & Analytics Summit in London. It was an engaging gathering of industry leaders from various sectors, who exchanged valuable insights into crucial aspects of data governance, strategy, and innovation.

Food 94

Food Data Analytics Pharmaceutical Consulting 94

Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. However, they require a strong data foundation to be effective.

Data Analytics 59

Data Analytics Data Governance Data Integration Government 59

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

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

Precisely

JULY 12, 2024

Data observability: P revent business disruption and costly downstream data and analytics issues using intelligent technology that proactively alerts you to data anomalies and outliers. Data quality : Data must be complete, unique, valid, timely, and consistent in order to be useful for decision making.

Data Integration 105

Data Integration Datasets Data Data Governance 105

Snowflake

JULY 31, 2024

They cite several contributing factors to ongoing deficits at AMCs, including reduced private insurance reimbursement, gaps in government payments for care and increased labor costs. They provide tools to align the data with open community data standards.

Medical 52

Medical Healthcare Insurance Hospitality 52

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

Cloudera

MARCH 25, 2021

The protection and controls around data become increasingly complex when used in the context of banking and insurance activities. Personal and confidential information carries heightened sensitivity in the light of financial, health and insurance activities. The post Will Data Privacy drive an Enterprise Data Strategy?

Insurance 64

Insurance Banking Data Governance Government 64

Precisely

NOVEMBER 20, 2023

Businesses must navigate many legal and regulatory requirements, including data privacy laws, industry standards, security protocols, and data sovereignty requirements. Therefore, every AI initiative must occur within a sound data governance framework. User trust and credibility.

Raw Data 121

Raw Data Insurance Data Portfolio 121

Precisely

JULY 31, 2023

In the context of improving their organizations’ data integrity , respondents cite data quality and data integration as priorities for 2023 and as challenges to data integrity. Let’s explore more of the report’s findings around data integrity maturity, challenges, and priorities.

Data Integration 52

Data Integration Telecommunication Data Governance Government 52

The Modern Data Company

APRIL 12, 2023

Silos can limit data visibility across an organization, preventing healthcare providers from having a complete and up-to-date view of a patient’s health history. They can make accessing data from multiple sources difficult, resulting in duplication of effort and reduced efficiency.

Healthcare 98

Healthcare Medical Hospitality Electronics 98

Snowflake

AUGUST 20, 2024

Much of this data is sensitive and highly regulated by laws like HIPAA. Data also tends to be fragmented between disparate systems, serving different stakeholders, such as patients, providers, business teams, insurance companies and more. Empower marketers to do more within the constraints of data governance and regulation.

Healthcare 52

Healthcare Hospitality Electronics Government 52

Precisely

OCTOBER 24, 2024

To stay compliant with global data privacy regulations, you need robust data protection practices in place. When you migrate your data to the cloud, you gain access to built-in security features like encryption, multi-factor authentication, and advanced monitoring capabilities.

Cloud 64

Cloud Data Integration Insurance Data 64

Snowflake

FEBRUARY 5, 2024

The foundation for success is a data platform that allows flexible, cost-effective ways to access gen AI — whether organizations want to use off-the-shelf commercial and open-source large language models (LLMs), or fine-tune their own LLMs for more complex applications. Rinesh Patel, Snowflake’s Global Head of Financial Services 2.

Unstructured Data 104

Unstructured Data Banking Government Insurance 104

Snowflake

JULY 24, 2024

More often than not, your application will not live in a silo but will need to access financial market data to work effectively. Since products are almost instantly accessible — across clouds and regions — customers see accelerated time to value. Want a practical example? On Snowflake, that integration work is not necessary.

ETL Method 83

ETL Method Cloud Government Insurance 83

Monte Carlo

APRIL 29, 2021

Now that we’re on Snowflake’s Data Cloud, Monte Carlo monitors and alerts for abnormalities in the data life cycle that could otherwise go unnoticed until a customer notified us.” The Zebra, a leading insurance comparison site, makes it easy for consumers across the United States to compare and save on car and home insurance quotes.

Insurance 52

Insurance Business Intelligence Data Pipeline Cloud 52

Cloudera

FEBRUARY 4, 2021

I am pleased to announce that Cloudera was just named the Risk Data Repository and Data Management Product of the Year in the Risk Markets Technology Awards 2021. . Supporting the industry’s risk data depository and data management needs. Shared Data Experience (SDX). Highly Scalable.

Technology 86

Technology Data Management Management Insurance 86

Precisely

JUNE 1, 2023

Access to Trusted Data Is Key You need access to trusted data and real-time insights to deliver outstanding customer experiences. Many organizations still struggle to make effective use of data to deliver standout experiences to their customers. Precisely delivers measurable benefits for the businesses we serve.

Management 52

Management Telecommunication Insurance Banking 52

Precisely

JUNE 1, 2023

Access to Trusted Data Is Key You need access to trusted data and real-time insights to deliver outstanding customer experiences. Many organizations still struggle to make effective use of data to deliver standout experiences to their customers. Precisely delivers measurable benefits for the businesses we serve.

Management 52

Management Telecommunication Insurance Banking 52

Snowflake

JULY 24, 2024

More often than not, your application will not live in a silo but will need to access financial market data to work effectively. Since products are almost instantly accessible — across clouds and regions — customers see accelerated time to value. Want a practical example? On Snowflake, that integration work is not necessary.

ETL Method 52

ETL Method Cloud Government Insurance 52

Precisely

MAY 3, 2023

The Future of Mainframe is in the Cloud Is your business using a mainframe to run your mission-critical and revenue-generating applications, but evaluating a move to a cloud platform like AWS for your mainframe data? Not to worry – all session recordings will be available to you after the event. Here’s our agenda for May 17: 10:30–11:15 a.m.

Data Integration 52

Data Integration AWS Government Data Governance 52

Monte Carlo

APRIL 29, 2021

With this partnership, Snowflake customers can now: Achieve end-to-end Data Observability without writing any code. Get end-to-end data observability for your Snowflake data pipelines with a 20-minute, no-code implementation process. Know when data breaks, as soon as it happens.

Insurance 40

Insurance Business Intelligence Healthcare Data Warehouse 40

Monte Carlo

SEPTEMBER 20, 2022

After some initial cheerleading, Dylan convinced the Prefect team to stand up a Monte Carlo instance for their BigQuery data warehouse. Almost instantly, Monte Carlo’s no-code implementation and out-of-the-box, ML-enabled freshness, volume, and schema checks were providing quick insurance in the health of their data flows and data products.

Big Data 52

Big Data Data Warehouse Data Data Governance 52

AltexSoft

JUNE 26, 2023

Commonly, the entire flow is fully automated and consists of three main steps — data extraction, transformation, and loading ( ETL or ELT , for short, depending on the order of the operations.) Dive deeper into the subject by reading our article Data Integration: Approaches, Techniques, Tools, and Best Practices for Implementation.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Databand.ai

DECEMBER 29, 2022

Her primary focus areas are data science, data governance, artificial intelligence, advanced analytics, and multi-cloud product offerings. Follow Priya on LinkedIn 6) Niv Sluzki Director of Engineering at Databand Niv is dedicated to solving data health and data quality issues for code-intensive data engineering teams.

BI 52

BI Consulting Data Science Data Governance 52

AltexSoft

SEPTEMBER 19, 2023

For example, in aviation, predictive maintenance reduces the need to pull the aircraft out of service, helps optimize repair schedules, prevents unexpected faults, and insures against flight delays. Read our article on data visualization libraries and tools to learn more. Consider implementing data governance.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

Knowledge Hut

MARCH 26, 2024

Extensive experience in data architecture, database design, and data warehousing. Proficiency in database technologies such as SQL, NoSQL, and Big Data platforms. Strong understanding of data governance, security, and compliance requirements.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

JANUARY 30, 2024

API (Application Programming Interface) Access : Many platforms and services offer APIs that allow for systematic data retrieval. APIs provide structured access to data, making it easier to extract and integrate information from sources like social media platforms, weather services, or financial data providers.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

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 Engineer 52

Data Engineer Data Engineering Coding Project 52

Precisely

SEPTEMBER 30, 2024

Data enrichment adds context to existing information, enabling business leaders to draw valuable new insights that would otherwise not have been possible. Managing an increasingly complex array of data sources requires a disciplined approach to integration, API management, and data security.

Data Governance 52

Data Governance Insurance Government Machine Learning 52

Snowflake

FEBRUARY 13, 2023

Snowflake kicked off 2023 with enhanced features around data governance and optimized storage for expanded data access. Go to the Analytics Tab in the Provider Studio to access this feature. 31, 2022) as well as market their own products across the Snowflake Data Cloud.

Insurance 52

Insurance Banking Government Retail 52

Precisely

JANUARY 8, 2024

Location intelligence provides a critical link that joins existing data elements with the geospatial context surrounding them. By understanding where your customers live, for example, you can glean meaningful insights about their income level, lifestyle, and access to services. Insurance: gain a comprehensive view of property risks.

Insurance 64

Insurance Telecommunication Retail Data Integration 64

Precisely

JANUARY 31, 2023

Location Intelligence provides a critical link that joins existing data elements with the geospatial context surrounding them. By understanding where your customers live, for example, you can glean meaningful insights about their income level, lifestyle, and access to services.

Insurance 52

Insurance Retail Machine Learning Government 52

phData: Data Engineering

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Snowflake

MARCH 28, 2023

It enables planning for seasonal upgrades, like snow gear, and negotiating advanced usage-based insurance contracts. However, the products feeding into the data pool might not be from the same manufacturer. This eliminates data silos or duplicates and replaces costly, risky, and sometimes cumbersome methods.

Manufacturing 52

Manufacturing Entertainment Transportation Insurance 52