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

JULY 30, 2024

For product companies, understanding customer feedback is crucial,” says Aswini Thota, director of AI and data science at banking and insurance provider USAA. Business process augmentation Generative AI is finding a sweet spot in enterprise business process augmentation.

Insurance 144

Insurance Machine Learning Interactive Finance 144

CIO Business Intelligence

OCTOBER 17, 2024

Liberty Dental Plan insures about 7 million people in the United States as a dental insurance company. And over time I have been given more responsibility on the operations side: claims processing and utilization management, for instance, both of which are the key to any health insurance company (or any insurance company, really).

Management 111

Management Insurance ROI Cost-Benefit 111

AWS Big Data

FEBRUARY 1, 2024

In this post, we provide a solution architecture that describes how you can process data from three different types of sources—streaming, transactional, and third-party reference data—and aggregate them in Amazon Redshift for business intelligence (BI) reporting. This will be your OLTP data store for transactional data.

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

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

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 116

Data Lake Metadata Insurance Data-driven 116

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 92

Data Warehouse Data Lake Cost-Benefit Metadata 92

Octopai

JUNE 15, 2020

Business intelligence databases are dynamic repositories that must often be adjusted based on organizational and or regulatory requirements. With this problem solved, the Department of Transportation sent a memo to insurance companies informing them of the impending change and moved along. Yup, you read that right.

Insurance 52

Insurance Metadata Business Intelligence Data Warehouse 52

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 97

Analytics Data Warehouse Data Lake Metadata 97

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.

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

Birst BI

OCTOBER 30, 2018

Because the data describing each transaction was in a database, this made it easy to retrieve and summarize multiple transactions together. This data retrieval and summarization capability gave rise to what we now know as the business intelligence industry. Add the predictive logic to the data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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 98

Online Analytical Processing OLAP Slice and Dice Analytics 98

IBM Big Data Hub

OCTOBER 12, 2023

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Optimization 76

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 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

Cloudera

JUNE 16, 2022

CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. Customers started to understand that to better serve their customers and maintain a competitive edge, they needed the analytics to be done in real time, not days or hours but within seconds or faster.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

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

Alation

FEBRUARY 13, 2020

Key analyst firms like Forrester, Gartner, and 451 Research have cited “ soaring demands from data catalogs ”, pondered whether data catalogs are the “ most important breakthrough in analytics to have emerged in the last decade ,” and heralded the arrival of a brand new market: Machine Learning Data Catalogs.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Alation

AUGUST 26, 2021

For this reason, data intelligence software has increasingly leveraged artificial intelligence and machine learning (AI and ML) to automate curation activities, which deliver trustworthy data to those who need it. How Do Data Intelligence Tools Support Data Culture? BI and AI for Data Intelligence.

Metadata 64

Metadata Data Governance Dashboards Software 64

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

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. Having systems able to scale to handle the volumes of data to be analysed. Insurance.

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Data-driven Data Lake Data Warehouse Machine Learning 98

Domino Data Lab

JULY 22, 2019

You know, companies like telecom and insurance, they don’t really need machine learning.” If you were out five years ago talking in industry about the importance of graphs and graph algorithms and representation of graph data, because most business data ultimately is some form of graph. Then things changed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

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 Machine Learning Data-driven 66

Jet Global

DECEMBER 7, 2021

As business analytics tools become more powerful and affordable than ever before, more and more business leaders are building upon their existing technology toolsets to add true business intelligence (BI) to their organization’s capabilities. These four stages are the “business intelligence cycle.”

Business Intelligence 52

Business Intelligence Slice and Dice Recreation/Entertainment Reporting 52

Jet Global

MAY 21, 2025

True data transformation comes from applying insights to make impactful business decisions. Simplifying Insurance Claims Approvals A multinational insurance firm adopted Collaboration for claims management.

Dashboards 52

Dashboards Visualization Reporting Interactive 52

Jet Global

AUGUST 27, 2021

Jet Analytics is a robust Business Intelligence (BI) solution that complements Jet Reports with a data warehouse and advanced analytics capabilities. It includes pre-built projects, cubes, and data models, as well as a suite of ready-to-run reports and dashboards.

Reporting 98

Reporting Recreation/Entertainment Data Warehouse Dashboards 98

Jet Global

OCTOBER 7, 2021

Reliable Data – KPIs are only as good as the data that are used as inputs. Business intelligence software can help you retrieve, analyze and report data to be used as inputs for your accounting KPIs. Context – KPIs need to be evaluated within the context of your organization as a whole.

Metrics 110

Metrics Reporting KPI Key Performance Indicator 110

Jet Global

JUNE 25, 2021

Without “good” data to tap into, your organization won’t be able to make good decisions. If you are looking to consolidate data from multiple sources, or if you are struggling to align multiple departments, Business Intelligence Software is the perfect solution for your organization.

Reporting 104

Reporting KPI Metrics Measurement 104

Jet Global

JUNE 24, 2021

For the most precise decision making, you must ensure that the data you are tapping into to monitor your KPIs are up to date and have a high quality. Without “good” data, you won’t be able to make good decisions.

Metrics 98

Metrics Reporting KPI Measurement 98

Jet Global

MAY 4, 2021

Here is an overview of the SAP reporting tool suite: SAP Business Information Warehouse (BW) – The SAP Business Warehouse is a data repository (data warehouse) designed to optimize the retrieval of information based on large data sets. When you have an urgent need, that can be a disadvantage.

Reporting 52

Reporting IT Finance Data Warehouse 52

CIO Business Intelligence

APRIL 23, 2025

In 2025, insurers face a data deluge driven by expanding third-party integrations and partnerships. Many still rely on legacy platforms , such as on-premises warehouses or siloed data systems. Step 1: Data ingestion Identify your data sources. First, list out all the insurance data sources.

Insurance 109

Insurance Digital Transformation Data Quality Data Lake 109

Jet Global

NOVEMBER 15, 2021

The use of specialized software can help your organization with the collection of data pertaining to KPIs and its reporting. insightsoftware’s business intelligence software has been designed to help corporations improve their tax function with these key features: Automated Data Collection.

Metrics 52

Metrics Reporting KPI Risk Management 52

Jet Global

NOVEMBER 2, 2021

As you have probably caught on by now, a successful KPI monitoring program relies heavily on data. If you have had trouble in the past with accuracy of data, you’re not alone. Without a business intelligence software, it is very difficult to track, trend and monitor any metrics.

Metrics 52

Metrics Reporting KPI Key Performance Indicator 52

Jet Global

NOVEMBER 2, 2021

Using business intelligence software can enable you to see everything as a part of a larger picture rather than isolated numbers. KPI Dashboards Cluster all the Insightful Data in One Place. Why You Should Use a KPI Dashboard/Reporting Software.

Metrics 52

Metrics Reporting KPI Key Performance Indicator 52

AWS Big Data

MAY 15, 2025

Data environments in data-driven organizations are changing to meet the growing demands for analytics , including business intelligence (BI) dashboarding, one-time querying, data science , machine learning (ML), and generative AI. Amazon SageMaker Unified Studio , Amazon EMR 7.5.0 and higher, and AWS Glue 5.0

Management 104

Management Data Lake Data Warehouse Big Data 104

CIO Business Intelligence

MARCH 13, 2025

Introducing business intelligence required a great deal of change management work, because from a data use that wasnt very sophisticated and organized, and very do-it-yourself, we moved to a consistent and verified data warehouse, he says. I insist on the value of communication and involvement.

Digital Transformation 117

Digital Transformation Insurance Management Deep Learning 117