CIO Business Intelligence

MAY 24, 2022

Some of the accelerators included as part of the new platform are integrations with Salesforce, NPI data, National Patient Account Services, Workday, Oracle Fusion HCM Cloud, Orange HRM, Salesforce Health Cloud, MedPro, healthcare-focused cloud company Veeva, and HR vendor UltiPro. Analytics for faster decision making.

Finance 140

Finance Management Metadata Data Quality 140

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

Cloudera

AUGUST 2, 2018

True – millions of credit card transactions are processed within minutes for consistency, fraud and compliance, using petabytes of historical transactions as reference data. Leading insurers are underwriting policies with lower risks. We call it ‘Modern Data Warehousing’. Banks know more about their customers today.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

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

Alation

FEBRUARY 13, 2020

We also have some primary insurance entities in the group, but the main thing about reinsurance is that we’re taking care of the big and complex risks in the world. A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

Birst BI

OCTOBER 30, 2018

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Sisense

MARCH 27, 2019

To get the most out of data, companies need to analyze it as soon as it is created—when it can provide the most immediate and relevant insights. Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

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.

Experimentation 80

Experimentation Data Warehouse Dashboards Visualization 80

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 Metadata 98

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process. You can send data from your streaming source to this resource for ingesting the data into a Redshift data warehouse.

Data Analytics 89

Data Analytics Analytics Data Warehouse Data Lake 89

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. Brian Ross is a Senior Software Development Manager at AWS.

Data Quality 93

Data Quality Statistics Data Lake Visualization 93

Alation

AUGUST 30, 2022

These range from data sources , including SaaS applications like Salesforce; ELT like Fivetran; cloud data warehouses like Snowflake; and data science and BI tools like Tableau. This expansive map of tools constitutes today’s modern data stack. We are starting with personalized homepages.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

Alation

SEPTEMBER 7, 2021

A range of regulations exist: the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), as well as industry regulations like the Health Insurance Portability and Accountability Act (HIPAA) and Sarbanes–Oxley Act (SOX). With Snowflake, data stewards have a choice to leverage Snowflake’s governance policies.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Cloudera

NOVEMBER 25, 2020

In any pharma, one of the largest data problems is variety, and it has been unsolved for the last 11 years, because: . Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. The Vision of a Discovery Data Warehouse.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Are you seeing any specific issues around the insurance industry at the moment that should concern CDAOs?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

JULY 25, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics in seconds. It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Harshida Patel is a Specialist Principal Solutions Architect, Analytics with AWS.

Metrics 78

Metrics Data Warehouse Dashboards Snapshot 78

CIO Business Intelligence

MAY 24, 2022

Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

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 94

Data Warehouse Insurance Statistics Software 94

Occam's Razor

APRIL 25, 2011

I fundamentally believe that having a vibrant bi-directional conversation on a destination you control with policies you set and data you control is not just insurance, it is your duty to your customers. Now switching to something a bit more near and dear to my heart, analytics "crimes against humanity" 8.

Marketing 126

Marketing Measurement Metrics Testing 126

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 64

Data Warehouse Data Lake Cost-Benefit Modeling 64

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. He enjoys working with AWS partners and customers on building scalable analytical solutions for their business outcomes.

Data Warehouse 59

Data Warehouse Cost-Benefit Metadata Data Lake 59

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

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. In this post, we discuss how to use these extensions to simplify your queries in Amazon Redshift.

Online Analytical Processing 73

Online Analytical Processing OLAP Slice and Dice Analytics 73

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. The following diagram represents a generic data lake architecture. The data lake source and target systems have their respective DR environments.

Data Lake 89

Data Lake Data Processing Metadata Snapshot 89

Occam's Razor

FEBRUARY 22, 2011

Just when you thought you were finally getting more comfortable with website analytics and the metrics you report, here comes the massive explosion of mobile data! At one level it is the normal impressions and clicks data, but on another level we are getting new data and metrics we normally don't use. Web Analytics.

Analytics 113

Analytics Advertising Metrics Measurement 113

IBM Big Data Hub

JULY 17, 2023

sales conversation summaries, insurance coverage, meeting transcripts, contract information) Generate: Generate text content for a specific purpose, such as marketing campaigns, job descriptions, blogs or articles, and email drafting support. ” Vitaly Tsivin, EVP Business Intelligence at AMC Networks.

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

BizAcuity

DECEMBER 28, 2022

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 40

IT Data Warehouse Cost-Benefit Data Integration 40

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

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” You know, companies like telecom and insurance, they don’t really need machine learning.” ” But that changed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

OCTOBER 12, 2023

Once trained and deployed, models also need reliable access to historical and real-time data to generate content, make recommendations, detect errors, send proactive alerts, etc. To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

Occam's Razor

APRIL 5, 2010

You'll work with your acquisition team or your finance team to get the cost data. For some of your campaigns this data might not be easily available in your web analytics tool (it is also quite likely you are doing all of this analysis in Excel). Optimizing acquisition channels with LTV. Optimizing for Jim Sterne with LTV.

Analytics 135

Analytics Marketing Measurement Metrics 135

Occam's Razor

JANUARY 8, 2018

Like me, I'm sure you are working on complex challenges when it comes to data. Multi-petabyte data warehouses. Predictive analytics. If you are a reader of my newsletter, The Marketing < > Analytics Intersect , you’ve seen me apply it to metrics (last TMAI was on Bounce Rate), reports, frameworks and more.

Sales 133

Sales Predictive Analytics Insurance Data Warehouse 133

Domino Data Lab

FEBRUARY 4, 2019

In my experience, hyper-specialization tends to seep into larger organizations in a special way… If a company is say, more than 10 years old, they probably began analytics work with a business intelligence team using a data warehouse. Stakeholders increasingly depend on results from data science teams.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. . Faster data ingestion: streaming ingestion pipelines.

Data Lake 83

Data Lake Manufacturing Metadata Dashboards 83

Alation

FEBRUARY 13, 2020

This was an eventful year in the world of data and analytics. billion merger of Cloudera and Hortonworks, the widely scrutinized GDPR (General Data Protection Regulation), or the Cambridge Analytica scandal that rocked Facebook. Amid the headline grabbing news, 2018 will also be remembered as the year of the data catalog.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. Which industry, sector moves fast and successful with data-driven?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52