Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. Internal and external auditors work with many different systems to ensure this data is protected accordingly.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

erwin

JANUARY 23, 2025

IDC, BARC, and Gartner are just a few analyst firms producing annual or bi-annual market assessments for their research subscribers in software categories ranging from data intelligence platforms and data catalogs to data governance, data quality, metadata management and more.

Metadata 52

Metadata Data Quality Data Governance Software 52

AWS Big Data

JULY 29, 2024

As data volumes grow, the complexity of maintaining operational excellence also increases. Monitoring and tracking issues in the data management lifecycle are essential for achieving operational excellence in data lakes. This is where Apache Iceberg comes into play, offering a new approach to data lake management.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

erwin

APRIL 18, 2019

Data governance , thankfully, provides a framework for compliance with either or both – in addition to other regulatory mandates your organization may be subject to. Data Governance for Regulatory Compliance. Regulatory compliance remains a key driver for data governance. A Regulatory EDGE.

Data Governance 81

Data Governance Metadata Data Collection Data-driven 81

Cloudera

AUGUST 12, 2021

However, the important role data occupies extends beyond customer experience and revenue, as it becomes increasingly central in optimizing internal processes for the long-term growth of an organization. Collecting workforce data as a tool for talent management. Data enables Innovation & Agility. Conclusion.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

Octopai

JUNE 19, 2023

For business users Data Catalogs offer a number of benefits such as better decision-making; data catalogs provide business users with quick and easy access to high-quality data. This availability of accurate and timely data enables business users to make informed decisions, improving overall business strategies.

Metadata 98

Metadata Data Governance Measurement Risk Management 98

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

Smart Data Collective

OCTOBER 17, 2022

zettabytes of data in 2020, a tenfold increase from 6.5 While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. Data pipeline maintenance.

Big Data 119

Big Data Data-driven Recreation/Entertainment Data Governance 119

Alation

JULY 26, 2021

So you can probably imagine: The company manages a lot of data. We sought a partner to support our digital transformation and help us leverage data as a competitive asset. One of the first steps in any digital transformation journey is to understand what data assets exist in the organization.

Insurance 98

Insurance Digital Transformation Enterprise Data Governance 98

CIO Business Intelligence

DECEMBER 10, 2024

Moreover, multi-cloud data solutions are essential for complying with regulatory frameworks like the Digital Operational Resilience Act (DORA) from the European Union, which goes into effect this January. Whether its a managed process like an exit strategy or an unexpected event like a cyber-attack. This can be a challenging task.

Strategy 105

Strategy Data-driven Cost-Benefit Machine Learning 105

Smart Data Collective

AUGUST 14, 2019

By definition, big data in health IT applies to electronic datasets so vast and complex that they are nearly impossible to capture, manage, and process with common data management methods or traditional software/hardware. Big data sharing. Big Data is Carrying Massive Changes for Healthcare Organizations.

Big Data 101

Big Data Data Analytics Analytics Internet of Things 101

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

CIO Business Intelligence

SEPTEMBER 21, 2022

However, as data enablement platform, LiveRamp, has noted, CIOs are well across these requirements, and are now increasingly in a position where they can start to focus on enablement for people like the CMO. Data Management Read the full report here.

Risk 105

Risk Data Lake Marketing Data Warehouse 105

Laminar Security

DECEMBER 22, 2023

In the age of cloud computing, data security and cost management are paramount for businesses. Data Security Posture Management (DSPM) serves as a critical tool in this landscape, offering businesses a way to keep their data secure while also managing their cloud storage costs effectively.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data-driven 76

Data-driven Data Architecture Predictive Modeling Digital Transformation 76

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

AWS Big Data

MARCH 27, 2024

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes. The CloudFormation stack also deploys a provisioned Redshift cluster.

Data Analytics 119

Data Analytics Analytics Data Warehouse Data Lake 119

erwin

MAY 18, 2022

It’s a lighter implementation that when used in conjunction with erwin Data Intelligence will help the business understand where the most reliable data exists, where to focus on improvement, and when to take notice of changes in stability using a data volatility drift indicator score and auto-alerting capabilities.

Data Quality 52

Data Quality Metadata Data Governance Software 52

Cloudera

JANUARY 27, 2022

Real-time access to phone location data can be used by travel insurers to create products that only become active when the phone (and hopefully the human attached to it) crosses country borders or travels beyond a specific distance. For example, in the U.S., We covered this a bit when the Virginia law was first approved.

Insurance 85

Insurance IoT Risk Data Processing 85

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Intelligent workflows : AI optimizes in-store processes, inventory management and deliveries. What types of features do AI platforms offer?

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

Grooper

AUGUST 19, 2019

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Choosing the best analytics and BI platform for solving business problems requires non-technical workers to “speak data.”. Master data management. Data governance. Data pipelines.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

erwin

JULY 17, 2019

Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there. Constructing A Digital Transformation Strategy: Data Enablement. Many organizations prioritize data collection as part of their digital transformation strategy.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Alation

FEBRUARY 20, 2020

One reason is because traditional data governance models conform to an old world of analytics that focus on controlling data access and fail to succeed in the free-flowing world of self-service reporting, BI, and analytics. How Data Catalogs Can Help. Gartner predicts that the global analytics market will grow to $22.8

Data Governance 52

Data Governance Dashboards Data Lake Big Data 52

David Menninger's Analyst Perspectives

OCTOBER 8, 2024

I assert that through 2027, three-quarters of enterprises will be engaged in data intelligence initiatives to increase trust in their data by leveraging metadata to understand how, when and where data is used in their organization, and by whom.

Data Quality 130

Data Quality Data Governance Enterprise Visualization 130

Alation

DECEMBER 8, 2022

Data governance is growing in urgency and prominence. As regulations grow more complex (and compliance fines more onerous) organizations aren’t just adapting data governance frameworks to drive compliance – they’re leveraging governance to fuel a growing range of use cases, from collaboration to stewardship, discovery, and more.

Data Governance 52

Data Governance Data-driven Reporting Strategy 52

Andrew White

JANUARY 11, 2021

How do you think Technology Business Management plays into this strategy? Where does the Data Architect role fits in the Operational Model ? What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Governance. Value Management or monetization. Product Management.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

FEBRUARY 13, 2020

The inspiration came from Gartner and Forrester’s ground-breaking research on the emergence of data catalogs. Enterprises are… turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.”.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Alation

JUNE 1, 2023

So it’s fitting that Snowflake Summit , the premier event for data cloud strategy, will occur at Caesars Forum in Las Vegas on June 26–29 (togas not required). As a 2-time Snowflake Data Governance Partner of the Year , Alation knows how important this event is to the Snowflake community. The data governance team’s solution?

Metadata 52

Metadata Data Governance Data-driven Recreation/Entertainment 52

Cloudera

AUGUST 8, 2024

Cloudera’s data lakehouse provides enterprise users with access to structured, semi-structured, and unstructured data, enabling them to analyze, refine, and store various data types, including text, images, audio, video, system logs, and more.

Enterprise 72

Enterprise Predictive Modeling Cost-Benefit Unstructured Data 72

Alation

FEBRUARY 20, 2020

After investing in self-service analytic tooling, organizations are now turning their attention to linking infrastructure and tooling to data-driven decisions. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. The growth of data is outpacing organization’s ability to get value from it.”[3]

Machine Learning 52

Machine Learning Marketing Reporting Metadata 52

Jet Global

OCTOBER 9, 2024

Finance : Immediate access to market trends, asset prices, and trading data enables financial institutions to optimize trades, manage risks, and adjust portfolios based on real-time insights. This immediate access to data enables quick, data-driven adjustments that keep operations running smoothly.

Prescriptive Analytics 52

Prescriptive Analytics IoT Internet of Things Cost-Benefit 52

CIO Business Intelligence

FEBRUARY 19, 2025

Synthetic data addresses data scarcity by providing a cost-effective way to generate large, diverse datasets tailored to specific needs, such as software development, he says. In essence, synthetic data enables AI to learn from a broader and cleaner source of information, resulting in more efficient, secure, and robust AI systems.

Cost-Benefit 101

Cost-Benefit Modeling Software Machine Learning 101

Alation

FEBRUARY 20, 2020

After a blockbuster premiere at the Strata Data Conference in New York, the tour will take us to six different states and across the pond to London. Data Catalogs Are the New Black. Gartner’s report, Data Catalogs Are the New Black in Data Management and Analytics , inspired our new penchant for the color black.

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52