Smarten

DECEMBER 24, 2019

This Client is one of the fastest growing life insurance companies in India and offers a diverse range of wealth management, protection and retirement solutions.

Insurance 52

Insurance Analytics Data Warehouse Management 52

AWS Big Data

JUNE 25, 2024

This post is co-authored by Vijay Gopalakrishnan, Director of Product, Salesforce Data Cloud. In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights.

Data Lake 122

Data Lake Cost-Benefit Data-driven Data Warehouse 122

CIO Business Intelligence

MAY 24, 2022

In order to help maintain data privacy while validating and standardizing data for use, the IDMC platform offers a Data Quality Accelerator for Crisis Response. Cloud Computing, Data Management, Financial Services Industry, Healthcare Industry

Finance 140

Finance Management Metadata Machine Learning 140

Cloudera

NOVEMBER 25, 2020

How could Matthew serve all this data, together , in an easily consumable way, without losing focus on his core business: finding a cure for cancer. The Vision of a Discovery Data Warehouse. A Discovery Data Warehouse is cloud-agnostic. Access to valuable data should not be hindered by the technology.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

CIO Business Intelligence

OCTOBER 13, 2022

Companies across industries have core requirements related to data security and governance controls, yet different industries have uniquely focused considerations. In healthcare, securing personal health data is key, governed by national standards laid out by the Health Insurance Portability and Accountability Act (HIPAA).

Insurance 115

Insurance Data Warehouse Manufacturing Forecasting 115

AWS Big Data

JULY 8, 2024

Amazon Redshift Serverless is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, simple, and secure analytics at scale. Amazon Redshift data sharing allows you to share data within and across organizations, AWS Regions, and even third-party providers, without moving or copying the data.

Data Warehouse 132

Data Warehouse IT Recreation/Entertainment Cost-Benefit 132

AWS Big Data

FEBRUARY 1, 2024

This stack creates the following resources and necessary permissions to integrate the services: Data stream – With Amazon Kinesis Data Streams , you can send data from your streaming source to a data stream to ingest the data into a Redshift data warehouse. version cluster. version cluster.

Data Warehouse 134

Data Warehouse Dashboards Risk Management Risk 134

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

AWS Big Data

SEPTEMBER 6, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Amazon Redshift, you can analyze all your data to derive holistic insights about your business and your customers. This helps in seamless migrations from traditional data warehouses like Teradata and SQL Server.

Data Warehouse 115

Data Warehouse Insurance Statistics Software 115

CIO Business Intelligence

MAY 24, 2022

The survey found the mean number of data sources per organisation to be 400, and more than 20 percent of companies surveyed to be drawing from 1,000 or more data sources to feed business intelligence and analytics systems. However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

AWS Big Data

AUGUST 21, 2024

The current scaling approach of Amazon Redshift Serverless increases your compute capacity based on the query queue time and scales down when the queuing reduces on the data warehouse. This post also includes example SQLs, which you can run on your own Redshift Serverless data warehouse to experience the benefits of this feature.

Optimization 106

Optimization Data Lake Data Warehouse Cost-Benefit 106

erwin

MAY 2, 2022

I was pricing a data warehousing project with just 4 TB of data – small by today’s standards. I chose “OnDemand” for up to 64 virtual CPUs and 448 GB of memory, since this data warehouse wanted to leverage in-memory processing. So that’s $136,000 per year just to run this one data warehouse in the cloud.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model? What is a data vault?

Data Warehouse 88

Data Warehouse Data Lake Cost-Benefit Metadata 88

IBM Big Data Hub

OCTOBER 30, 2023

A leading insurance player in Japan leverages this technology to infuse AI into their operations. Real-time analytics on customer data — made possible by DB2’s high-speed processing on AWS — allows the company to offer personalized insurance packages.

Insurance 77

Insurance Data Warehouse Data-driven Unstructured Data 77

AWS Big Data

DECEMBER 4, 2024

In today’s data-driven world , organizations are constantly seeking efficient ways to process and analyze vast amounts of information across data lakes and warehouses. SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines.

Data Lake 115

Data Lake Metadata Insurance Data-driven 115

AWS Big Data

MAY 28, 2024

The details of each step are as follows: Populate the Amazon Redshift Serverless data warehouse with company stock information stored in Amazon Simple Storage Service (Amazon S3). Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

Unstructured Data 117

Unstructured Data Data Warehouse Structured Data Testing 117

Cloudera

AUGUST 2, 2018

It goes unnoticed but cyber threats are routinely hunted down by correlating hundreds of attributes from disparate data sources – even as data types and formats evolve. Leading insurers are underwriting policies with lower risks. We call it ‘Modern Data Warehousing’. The key ingredient is something we call H-3.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

Cloudera

MAY 30, 2024

TAI Solutions provides IT services and solutions to major players in the financial services industry, particularly in the banking and insurance sectors. The organization designs, develops, and manages IT processes, infrastructures, and applications tailored for banks and insurance companies to build and enhance their digital capabilities.

Data Analytics 81

Data Analytics Risk Management Analytics Digital Transformation 81

Sisense

MARCH 27, 2019

To provide real-time data, these platforms use smart data storage solutions such as Redshift data warehouses , visualizations, and ad hoc analytics tools. This allows dashboards to show both real-time and historic data in a holistic way. What are the Real-Time BI Best Practices?

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

AWS Big Data

MARCH 27, 2024

You can send data from your streaming source to this resource for ingesting the data into a Redshift data warehouse. This will be your online transaction processing (OLTP) data store for transactional data. With continuous innovations added to Amazon Redshift, it is now more than just a data warehouse.

Data Analytics 118

Data Analytics Analytics Data Warehouse Data Lake 118

erwin

JULY 2, 2020

Data Modeling with erwin Data Modeler. a technology manager , uses erwin Data Modeler (erwin DM) at a pharma/biotech company with more than 10,000 employees for their enterprise data warehouse. Once everything is reviewed, then we go on to discuss the physical data model.”. “We George H.,

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

Cloudera

SEPTEMBER 17, 2020

To address this, they focused on creating an experimentation-oriented culture, enabled thanks to a cloud-native platform supporting the full data lifecycle. This platform, including an ad-hoc capable data warehouse service with built-in, easy-to-use visualization, made it easy for anyone to jump in and start experimenting.

Data Warehouse 81

Data Warehouse Experimentation Dashboards Visualization 81

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 95

Analytics Data Warehouse Data Lake Metadata 95

IBM Big Data Hub

SEPTEMBER 11, 2023

Watsonx.data on AWS: Imagine having the power of data at your fingertips. watsonx.data is a software-as-a-service (SaaS) offering that revolutionizes data management. A glimpse of real-world impact: Data-driven success The true power of this partnership and its offerings becomes evident when considering real-world scenarios.

Data-driven 104

Data-driven Insurance Data Warehouse Digital Transformation 104

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool. Ashish Agrawal is a Sr.

Metrics 98

Metrics Data Warehouse Dashboards Snapshot 98

CIO Business Intelligence

AUGUST 21, 2024

Insurance company Aflac is one company making sure this is the case to maintain human oversight over the AI, instead of letting it act completely autonomously. These AI agents are serving both internal users and clients, says Daniel Avancini, the company’s chief data officer. “That’s the most difficult thing,” he says.

Risk 136

Risk Insurance Cost-Benefit Software 136

erwin

FEBRUARY 19, 2021

It harvests metadata from various data sources and maps any data element from source to target and harmonize data integration across platforms. With this accurate picture of your metadata landscape, you can accelerate Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Alation

JULY 22, 2021

Our platform combines data insights with human intelligence in pursuit of this mission. Susannah Barnes, an Alation customer and senior data governance specialist at American Family Insurance, introduced our team to faculty at the School of Information Studies of the University of Wisconsin, Milwaukee (UWM-SOIS), her alma mater.

Informatics 98

Informatics Big Data Insurance Data Warehouse 98

FineReport

JULY 28, 2021

Definition: BI vs Data Science vs Data Analytics. Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Octopai

JUNE 15, 2020

With this problem solved, the Department of Transportation sent a memo to insurance companies informing them of the impending change and moved along. Data Lineage Problems Cause Major Roadblocks. Instead, there was a patchwork system created by different insurance offices and licensing facilities. Yup, you read that right.

Insurance 52

Insurance Metadata Business Intelligence Data Warehouse 52

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. This is where the observant reader will see the concept of Convergent Evolution playing out in the data arena as well as the Natural World. In Closing.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Octopai

JULY 18, 2019

The billing and finance departments need the right information in order to properly bill patients and insurers. Compliance departments must be able to find the right data when government regulators come around with audits on their minds. Data Governance Starts With Metadata Management.

Metadata 67

Metadata Management Data Governance Insurance 67

BizAcuity

APRIL 1, 2023

It provides data integration software and services for various businesses, industries and government organizations including telecommunication, health care, financial and insurance services. Informatica uses the Extract, Transform & Load (ETL) architecture which is the most popular architecture to perform data integration.

IT 52

IT Data Warehouse Cost-Benefit Data Integration 52

AWS Big Data

OCTOBER 4, 2023

Migrating on-premises data warehouses to the cloud is no longer viewed as an option but a necessity for companies to save cost and take advantage of what the latest technology has to offer. This blog post is co-written with Govind Mohan and Kausik Dhar from Cognizant.

Data Warehouse 64

Data Warehouse Cost-Benefit Metadata Data Lake 64

Data Virtualization

MAY 21, 2020

As a data analyst for the Nationale-Nederlanden Investment Partners (NNIP), the sole asset manager for the Nationale-Nederlanden (NN) group, one of the largest insurance companies in the Netherlands, I need to ensure that our operational teams have the data they.

Insurance 52

Insurance Management Data Warehouse 52

Octopai

APRIL 4, 2022

The data capture layer includes EHRs, mobile devices, wearables and data entry from clinical trials. Data is then stored in enterprise data warehouses, data aggregators, patient registries or portals and public records.

Metadata 98

Metadata Reporting Visualization Insurance 98

AWS Big Data

FEBRUARY 28, 2023

Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Yanzhu Ji is a Product Manager on the Amazon Redshift team.

Online Analytical Processing 96

Online Analytical Processing OLAP Slice and Dice Analytics 96