Octopai

JULY 9, 2020

Actually, effective data lineage delivers important enhancements to BI and enables informed decision-making , as it enables data teams to tackle numerous use cases such as regulatory compliance, system upgrades & migrations, M&A (system consolidation), reporting inaccuracies, business changes etc.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

erwin

SEPTEMBER 17, 2020

According to erwin’s “2020 State of Data Governance and Automation” report , close to 70 percent of data professional respondents say they spend an average of 10 or more hours per week on data-related activities, and most of that time is spent searching for and preparing data.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 88

Data Architecture Risk Management Risk Management 88

Cloudera

JANUARY 5, 2023

What is certain is that having an enterprise data strategy aligned to the organization’s cloud strategy and business priorities will help the organization drive greater business value by improving operational efficiencies and unlocking new revenue streams. The results are higher revenues, lower risks, and increased productivity for the bank.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

AWS Big Data

APRIL 3, 2024

They recognize the importance of accurate, complete, and timely data in enabling informed decision-making and fostering trust in their analytics and reporting processes. Amazon DataZone data assets can be updated at varying frequencies. You can also update an existing data source to enable data quality.

Data Quality 93

Data Quality Visualization Metadata Metrics 93

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. Metadata Is the Heart of Data Intelligence.

Metadata 104

Metadata Management Data-driven Data Architecture 104

CIO Business Intelligence

JANUARY 30, 2024

Corporate ESG reporting is getting real for companies around the globe. Enacted and proposed regulations in the EU, US, and beyond are deepening reporting requirements in an effort to change business behavior. The foundation for ESG reporting, of course, is data. The foundation for ESG reporting, of course, is data.

Reporting 113

Reporting Data Quality Strategy Data-driven 113

Octopai

APRIL 8, 2020

While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. Inaccurate Data Management Leads to Financial Collapse. One reason the financial collapse took the world by surprise was the lack of data transparency.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

AWS Big Data

JULY 16, 2024

SIEM solutions help you implement real-time reporting by monitoring your environment for security threats and alerting on threats once detected. Therefore, Zurich is able to store compressed logs in Amazon S3 to achieve cost-optimized storage while still being able to perform one-time queries on the data.

Insurance 104

Insurance Management Cost-Benefit Optimization 104

IBM Big Data Hub

JULY 13, 2023

Physical data integrity is the protection of data wholeness (meaning the data isn’t missing important information), accessibility and accuracy while data is stored or in transit. Natural disasters, power outages, human error and cyberattacks pose risks to the physical integrity of data.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

AWS Big Data

NOVEMBER 29, 2023

With Redshift, we are able to view risk counterparts and data in near real time— instead of on an hourly basis. Amazon Redshift ML large language model (LLM) integration Amazon Redshift ML enables customers to create, train, and deploy machine learning models using familiar SQL commands.

Data Warehouse 104

Data Warehouse Data Lake Analytics Machine Learning 104

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history.

Data Strategy 72

Data Strategy Strategy Data Warehouse Prescriptive Analytics 72

CIO Business Intelligence

MARCH 9, 2022

They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. On the other hand, they don’t support transactions or enforce data quality. Each ETL step risks introducing failures or bugs that reduce data quality. .

Data Lake 117

Data Lake Unstructured Data Data Warehouse Data Quality 117

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate.

Data Lake 87

Data Lake Analytics Snapshot Data Quality 87

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. For example I would argue that most organizations that report their carbon footrest are not doing it consistently and nor are they doing it correctly. We have a lot of data literacy material published and we annually update our must-have roles work.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Sisense

SEPTEMBER 3, 2019

When it comes to picking your node type, while it is easy to see the storage of the Dc2.8xlarge and chose it because it is the largest, if you don’t have the need for that node type, you risk losing out on the benefits of having a distributed database that can process your query in parallel across all of your nodes. Data architecture.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

DataKitchen

AUGUST 8, 2023

Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage. However, there are potential risks and challenges in adopting Data Observability. When did it last run?

Data Quality 130

Data Quality Testing Snapshot Reporting 130

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Cloudera

JULY 20, 2021

A recent McKinsey report dove into the divergence between retail’s laggards and winners and found if there is one message in the retail sector’s stock market performance since the pandemic’s start, it is that investors flocked to companies with strong technology capabilities. Airline schedules and pricing algorithms.

Manufacturing 109

Manufacturing Forecasting IoT Insurance 109

CIO Business Intelligence

AUGUST 3, 2023

But reaching all these goals, as well as using enterprise data for generative AI to streamline the business and develop new services, requires a proper foundation. “You Using the metadata-driven Cinchy Data Collaboration Platform reduced a typical modeling and integration effort from 18 months to six weeks, he says.

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

AWS Big Data

JULY 14, 2023

These inputs reinforced the need of a unified data strategy across the FinOps teams. We decided to build a scalable data management product that is based on the best practices of modern data architecture. Our source system and domain teams were mapped as data producers, and they would have ownership of the datasets.

Finance 83

Finance Metadata Big Data Recreation/Entertainment 83

AWS Big Data

DECEMBER 21, 2023

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

Data Lake 93

Data Lake Data Warehouse B2B Data-driven 93

Jet Global

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These reports are critical to making decisions.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52