Precisely

DECEMBER 27, 2022

As 2022 wraps up, we would like to recap our top posts of the year in Data Integrity, Data Integration, Data Quality, Data Governance, Location Intelligence, SAP Automation, and how data affects specific industries. Read more > Best of Insurance In insurance, data is everything.

Insurance 52

Insurance Telecommunication Data Governance Government 52

Precisely

MAY 18, 2023

Customer Voices from Trust ’23: the Precisely Data Integrity Summit Jean-Paul Otte from Degroof Petercam shares why data governance is essential to linking data to business value – and why improving data quality is the first step of any governance journey.

Data Governance 52

Data Governance Insurance Government Data Integration 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

MARCH 7, 2024

That gives decision-makers visibility to the “whole truth” of their enterprise data. With data enrichment, enterprises can better understand their customers, competitors, and supply chains. They add depth and nuance to the information they already have.

Insurance 52

Insurance Data Integration Transportation Data 52

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

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 Retail 121

Monte Carlo

NOVEMBER 7, 2023

They aren’t just practitioners in the data field—they’re experts in their own rights—pioneering the future of data reliability, data quality, trustworthy AI, and data governance across industries.

Insurance 59

Insurance Finance Education Data Governance 59

Cloudera

AUGUST 12, 2021

A 2019 HBR article mentioned how organizational decisions backed by data have instilled more confidence and reduced risk. Strong and consistent enforcement of data governance and controls across multiple environments ensures that data lineage is clear, justifying insights from analysis or predictions from models.

Manufacturing 107

Manufacturing Insurance Consulting Education 107

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

Snowflake

FEBRUARY 13, 2023

Snowflake kicked off 2023 with enhanced features around data governance and optimized storage for expanded data access. You can spend more time building models and avoid switching costs between different data vendors, database technologies, and analytics software because the MDO SDK does most of this work for you.

Insurance 52

Insurance Banking Government Retail 52

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 Data Governance 52

Knowledge Hut

APRIL 23, 2024

Compliance and Regulatory Reporting: Big data analytics helps banks comply with regulations by analyzing enormous volumes of data to spot any abnormalities or instances of non-compliance, ensuring that regulatory obligations are met. In insurance, big data use cases help with claim management and processing.

Big Data 52

Big Data Retail Recruitment Transportation 52

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.

Insurance 59

Insurance Programming Language Manufacturing Healthcare 59

Snowflake

MARCH 21, 2023

In February, Snowflake launched new features around streaming data ingestion and data governance and improved SQL experience and performance, with enhancements to Search Optimization Service and more. Read on to learn about everything new announced in February.

Retail 67

Retail Healthcare Data Ingestion Consulting 67

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).

Technology 86

Technology Data Management Management Insurance 86

Snowflake

FEBRUARY 5, 2024

Mining unstructured data will be key to unlocking novel analytics Companies that can harness unstructured data for gen AI-enabled insights will be able to open up new analytics use cases in every subsector — from banking and asset management to payments and insurance. The possibilities are endless.

Unstructured Data 91

Unstructured Data Banking Government Insurance 91

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. It helps balance regional peak demand with incentives or location-based pricing.

Manufacturing 52

Manufacturing Entertainment Transportation Insurance 52

Monte Carlo

APRIL 29, 2021

What Monte Carlo and Snowflake customers have to say The Zebra 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. The Zebra’s data team uses Snowflake and Monte Carlo to ensure that their data pipelines are performant and reliable.

Insurance 40

Insurance Business Intelligence Healthcare Data Warehouse 40

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

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

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

Monte Carlo

MARCH 9, 2021

The advisory board will serve as a trusted partner to Monte Carlo’s customers across FinTech, e-commerce, media, digital marketplace, B2B software, and retail industries, including several Fortune 500 companies and data teams at Compass , Eventbrite , and Hippo Insurance , among others.

Insurance 40

Insurance Data Governance Retail Government 40

AltexSoft

JUNE 26, 2023

IDP can be used to collect and cleanse data from insurance claims , medical forms, invoices, agreements, and other documents, minimizing human intervention. Develop and implement data governance policies If data collection is not a one-time event, elaborate and establish data governance policies across your company.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk. Well, sort of.

Insurance 82

Insurance Banking Data Architecture Data Ingestion 82

Snowflake

APRIL 20, 2023

Snowgrid: Cross-Cloud Data Governance Allow masked columns as inputs to row access policies and conditional masking policies – general availability (GA) Advanced use cases require a masked column in a mapping table to be used as input to a row access policy for row-level authorization.

Medical 55

Medical Retail Python Pharmaceutical 55

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.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 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

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. For P&C insurance, that starts with having accurate and precise information as to the location of an insured property.

Insurance 52

Insurance Data Integration Government Data 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

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

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

OCTOBER 5, 2023

When we think about the big picture of data integrity – that’s data with maximum accuracy, consistency, and context – it becomes abundantly clear why data enrichment is one of its six key pillars (along with data integration, data observability, data quality, data governance, and location intelligence).

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

Precisely

MAY 3, 2023

Customer Communication Management for Highly Regulated Industries Chris Hall, Precisely SVP of Products & Operations, discusses why secure and personalized communications are critical to delivering customer value and ensuring regulatory compliance in industries like FinServ, insurance, and telco.

Data Integration 52

Data Integration Government AWS Data Governance 52

Precisely

MARCH 2, 2023

To achieve true data integrity, organizations must attend to data integration, data governance, data quality, and context with data enrichment. Context is the missing element that completes the picture and delivers real data integrity. Competitive disadvantage.

Building 52

Building Telecommunication Banking Insurance 52