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. S3FileIO').config('spark.hadoop.fs.s3a.aws.credentials.provider','org.apache.hadoop.fs.s3a.SimpleAWSCredentialProvider').config('spark.sql.catalog.spark_catalog.rest

Data Lake 107

Data Lake Metadata Insurance Data-driven 107

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

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. Cost Per Click.

Analytics 113

Analytics Advertising Metrics Measurement 113

AWS Big Data

MAY 28, 2024

Solution overview Our solution demonstrates how financial analysts can use generative artificial intelligence (AI) to adapt their investment recommendations based on financial reports and earnings transcripts with RAG to use LLMs to generate factual content. If yes, run query to extract information.

Unstructured Data 103

Unstructured Data Data Warehouse Structured Data Testing 103

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 79

Analytics Data Warehouse Data Lake Metadata 79

CIO Business Intelligence

AUGUST 21, 2024

After observing this system for a few months,” he continues, “Hughes allowed the process to run automatically and report on the implemented changes. 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.

Risk 136

Risk Insurance Cost-Benefit Software 136

Octopai

JUNE 15, 2020

To make changes to a system, report, or process, BI developers must first perform impact analysis in order to gauge the potential impact of making such a change on the rest of the environment. With this problem solved, the Department of Transportation sent a memo to insurance companies informing them of the impending change and moved along.

Insurance 52

Insurance Metadata Business Intelligence 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. Of course, it’s not enough to just meet healthcare data compliance requirements.

Metadata 98

Metadata Reporting Visualization Insurance 98

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

Birst BI

OCTOBER 30, 2018

The output of these algorithms, when used in financial services, can be anything from a customer behavior score to a prediction of future trading trends, to flagging a fraudulent insurance claim. This may involve integrating different technologies, like cloud sources, on-premise databases, data warehouses and even spreadsheets.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

IBM Big Data Hub

OCTOBER 12, 2023

So, the greater the visibility and control an organization has over its AI models now, the better prepared it will be for whatever AI and data regulations are coming around the corner. Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

Alation

AUGUST 11, 2021

It’s time to migrate your business data to the Snowflake Data Cloud. To answer this question, I recently joined Anthony Seraphim of Texas Mutual Insurance Company (TMIC) and David Stodder of TDWI on a webinar. The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud.

Data Governance 52

Data Governance Insurance Metadata Strategy 52

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

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

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

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.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

Alation

AUGUST 26, 2021

Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. And the support stopped there.

Metadata 64

Metadata Data Governance Dashboards Software 64

Andrew White

JANUARY 11, 2021

What is unique about the D&A Leadership Vision is that it crossed over into business since for many organizations, the CDO reports into the CEO or COO (as examples). The fill report is here: Leadership Vision for 2021: Data and Analytics. CAO, and even where the CAO reports into a different organization.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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 Data-driven 150

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

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Once the output of Data Science began to be used to support business decisions, a need arose to consider how it could be audited and both data privacy and information security considerations also came to the fore. In Closing.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

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. 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. Media mix modeling.

Sales 135

Sales Predictive Analytics Insurance Data Warehouse 135

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

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. via David Rekuc] "Have lunch, get to know your fellow man (or woman), share reports and success metrics and goals."

Marketing 127

Marketing Metrics Measurement Testing 127

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. ” But that changed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

MAY 24, 2022

Defining and using single data points for multiple purposes. Building a semantic layer describing unified business and reporting definitions. Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. zettabytes of data. Insurance.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

Domino Data Lab

FEBRUARY 4, 2019

To outline that caveat, I count four main points in the article describing necessary conditions which a successful organization must put into practice: Position data science as its own entity—make it its own department, reporting to the CEO. Stakeholders increasingly depend on results from data science teams.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Jet Global

OCTOBER 7, 2021

Accounting is the process of recording, analyzing and reporting financial information of a business which can be used by a variety of stakeholders including regulators, investors and management. Reliable Data – KPIs are only as good as the data that are used as inputs. How to Build Useful KPI Dashboards. Learn More.

Metrics 110

Metrics Reporting KPI Key Performance Indicator 110

Jet Global

JUNE 25, 2021

In more layman terms, public sector KPIs serve two important purposes: They report important information to citizens. The constituents cannot hold their government responsible without having access to periodic reporting on key performance metrics. How to Compare Reporting & BI Solutions. Learn More. Download Now.

Reporting 104

Reporting KPI Metrics Measurement 104

Jet Global

MAY 3, 2021

Though the software offers several advantages over previous versions, finance teams using Microsoft D365BC may experience some challenges in the areas of operational and financial reporting. One general Microsoft D365BC reporting challenge comes from the ERP’s complex data table structure.

Operational Reporting 98

Operational Reporting Reporting Finance Recreation/Entertainment 98

Jet Global

JUNE 24, 2021

Leading and lagging metrics : Leading measures predict future performance, whereas lagging measures report past performance. Unfortunately, preparing financial reports is a tedious and costly task. Most organizations either pay consultants to create expensive custom reports or dedicate the majority of their workforce to this job.

Metrics 98

Metrics Reporting KPI Measurement 98

Jet Global

SEPTEMBER 20, 2021

Reports to your board must be accurate, timely, and thorough. Effective board packets provide a combination of numbers, visual features, and a narrative summary that helps readers better understand the context and nuance surrounding the information in the report. Your selection of the right board reporting software is essential.

Reporting 98

Reporting Software Recreation/Entertainment Visualization 98

Jet Global

NOVEMBER 16, 2021

Some KPIs are too detailed to be reported to top management, and some KPIs are too general for middle managers and supervisors. Leading indicators predict performance whereas lagging indicators report on it. Clean up your data! Working with incomplete or outdated data could seriously jeopardize your KPI program.

Metrics 84

Metrics Reporting Key Performance Indicator KPI 84

Jet Global

SEPTEMBER 28, 2021

Finance teams must often harmonize and consolidate financial reports across multiple legal entities , often based in different countries and operating with different functional currencies. Adoption has proceeded apace, with 120 countries now having chosen IFRS as their standard for corporate financial reporting. Inventory Valuation.

Reporting 97

Reporting Recreation/Entertainment Finance Management 97

Jet Global

DECEMBER 23, 2021

Data quality has always been at the heart of financial reporting , but with rampant growth in data volumes, more complex reporting requirements and increasingly diverse data sources, there is a palpable sense that some data, may be eluding everyday data governance and control. Access Resource.

Data Quality 98

Data Quality Reporting Recreation/Entertainment Finance 98

Jet Global

MARCH 2, 2022

In recent years, investors have been placing an increased emphasis on a range of environmental, social, and governance (ESG) issues resulting in ESG reporting becoming more important. As a result, there are more demands on companies to report on their activities and practices and how they impact environmental and social sustainability.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59

Jet Global

DECEMBER 22, 2020

In an unpredictable industry such as insurance , finance and accounting teams simply cannot ignore the importance of careful financial management. Smart accounting protects an insurer from changes in the competitive landscape, regulatory issues, internal shake-ups, and even history-making events like the COVID-19 pandemic. Loss Ratio.

Insurance 69

Insurance Recreation/Entertainment Metrics Finance 69