Anmut

APRIL 6, 2023

By regularly conducting data maturity assessments, you can catch potential issues early and make proactive changes to supercharge your business’s success. Improved data quality By assessing the organisation’s data quality management practices, the assessment can identify areas where data quality can be improved.

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

Cloudera

SEPTEMBER 15, 2022

The consumption of the data should be supported through an elastic delivery layer that aligns with demand, but also provides the flexibility to present the data in a physical format that aligns with the analytic application, ranging from the more traditional data warehouse view to a graph view in support of relationship analysis.

Data Lake 78

Data Lake Data Architecture Data-driven Data Warehouse 78

erwin

SEPTEMBER 13, 2022

Speakers will cover data intelligence and governance on the first day of the summit. Day one will feature presentations from industry experts and experienced data professionals on the initiatives and tactical measures being taken by data-driven enterprises to reap the benefits of data intelligence and governance.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 52

IBM Big Data Hub

AUGUST 15, 2022

How does a data architecture impact your ability to build, scale and govern AI models? To be a responsible data scientist, there’s two key considerations when building a model pipeline: Bias: a model which makes predictions for people of different group (or race, gender ethnic group etc.) Data risk assessment.

Data mining 62

Data mining Risk Modeling Risk Management 62

CIO Business Intelligence

MAY 20, 2022

Modernizing a utility’s data architecture. These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud.

IT 104

IT Digital Transformation Internet of Things Data Architecture 104

IBM Big Data Hub

JUNE 30, 2022

The diversity of data types, data processing, integration and consumption patterns used by organizations has grown exponentially. Competition plays harder, and every day, new business models and alternatives driven by data and digitalization surface in almost every industry.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

IBM Big Data Hub

JANUARY 25, 2023

Breaking down these silos to encourage data access, data sharing and collaboration will be an important challenge for organizations in the coming years. The right data architecture to link and gain insight across silos requires the communication and coordination of a strategic data governance program.

Data Governance 52

Data Governance Data-driven Strategy Management 52

erwin

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 81

Data Lake Data Governance Data Architecture Machine Learning 81

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

Data Quality 67

Data Quality Data Integration Metadata Cost-Benefit 67

CIO Business Intelligence

APRIL 29, 2022

From a policy perspective, the organization needs to mature beyond a basic awareness and definition of data compliance requirements (which typically holds that local operations make data “sovereign” by default) to a more refined, data-first model that incorporates corporate risk management, regulatory and reporting issues, and compliance frameworks.

Digital Transformation 131

Digital Transformation Strategy Data-driven Data Strategy 131

Sisense

AUGUST 28, 2020

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. Data integrity risks.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

erwin

SEPTEMBER 17, 2020

Here are six benefits of automating end-to-end data lineage: Reduced Errors and Operational Costs. Data quality is crucial to every organization. Automated data capture can significantly reduce errors when compared to manual entry.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

erwin

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

erwin

SEPTEMBER 19, 2019

However, once an organization understands that IT and the business are both responsible for data, it needs to develop a comprehensive, holistic strategy for data governance that is capable of four things: Reaching every stakeholder in the process. Providing a platform for understanding and governing trusted data assets.

Data Governance 108

Data Governance Cost-Benefit Enterprise Modeling 108

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Data analysts in one organization might be called data scientists or statisticians in another. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

CIO Business Intelligence

JULY 28, 2023

This approach allows enterprises to streamline processes, gather data for specific purposes, get better insights from data in a secure environment, and efficiently share it. 1 A clear picture of where data lives and how it moves enables enterprises to consistently protect this data and its privacy.

Risk 98

Risk Management Cost-Benefit Data mining 98

Alation

MAY 31, 2023

This means that specialized roles such as data architects, which focus on modernizing data architecture to help meet business goals, are increasingly important to support data governance. What is a data architect? Their broad range of responsibilities include: Design and implement data architecture.

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 78

Insurance Risk Data-driven Modeling 78

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

JANUARY 30, 2024

Birgit Fridrich, who joined Allianz as sustainability manager responsible for ESG reporting in late 2022, spends many hours validating data in the company’s Microsoft Sustainability Manager tool. Data quality is key, but if we’re doing it manually there’s the potential for mistakes.

Reporting 113

Reporting Data Quality Strategy Data-driven 113

erwin

OCTOBER 24, 2019

The complexities of metadata management can be addressed with a strong data management strategy coupled with metadata management software to enable the data quality the business requires. Organizations then can take a data-driven approach to business transformation , speed to insights, and risk management.

Metadata 104

Metadata Management Data-driven Data Architecture 104

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

Alation

JULY 28, 2022

The cloud is no longer synonymous with risk. There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. What Are the Biggest Drivers of Cloud Data Warehousing? I am not interested in owning that risk internally.” Data quality /wrangling.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

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 Optimization 87

IBM Big Data Hub

DECEMBER 4, 2023

Clearly define the objective of the implementation project and determine its scope, timeline and budget as well as create a risk management plan. This is also the time to determine which data will be migrated, as some older data may be best stored in a secure archive. Check that the data conforms to the dedicated data hierarchy.

Testing 79

Testing Consulting Digital Transformation Cost-Benefit 79

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

IBM Big Data Hub

JANUARY 17, 2023

As part of a data fabric, IBM’s data integration capability creates a roadmap that helps organizations connect data from disparate data sources, build data pipelines, remediate data issues, enrich data quality, and deliver integrated data to multicloud platforms.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

Ontotext

FEBRUARY 26, 2024

Each additional graph use case increases its derived value thanks to reducing costs, adding new capabilities, and minimizing risk. Main Takeaways Graph technologies have the potential to deliver on the key goals and aspirations of every organization seeking to be data-driven.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

erwin

APRIL 16, 2024

The data mesh framework In the dynamic landscape of data management, the search for agility, scalability, and efficiency has led organizations to explore new, innovative approaches. One such innovation gaining traction is the data mesh framework. This empowers individual teams to own and manage their data.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

DataKitchen

AUGUST 8, 2023

On 20 July 2023, Gartner released the article “ Innovation Insight: Data Observability Enables Proactive Data Quality ” by Melody Chien. It alerts data and analytics leaders to issues with their data before they multiply. It alerts data and analytics leaders to issues with their data before they multiply.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

Andrew White

JANUARY 9, 2022

Most of D&A concerns and activities are done within EA in the Info/Data architecture domain/phases. – I remember that I tried to answer this live during the webinar. – We see most, if not all, of data management being augmented with ML. They can all help you at any time depending not the context.

Analytics 64

Analytics Measurement Modeling Data-driven 64

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. This results in more marketable AI-driven products and greater accountability.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

Cloudera

JULY 20, 2021

Risk models for financial institutions and insurers are exponentially more complicated . So relying upon the past for future insights with data that is outdated due to changing customer preferences, the hyper-competitive world and emphasis on environment, society and governance produces non-relevant insights and sub-optimized returns.

Manufacturing 100

Manufacturing Forecasting IoT Insurance 100

AWS Big Data

FEBRUARY 27, 2024

Machine learning analytics – Various business units, such as Servicing, Lending, Sales & Marketing, Finance, and Credit Risk, use machine learning analytics, which run on top of the dimensional model within the data lake and data warehouse. This enables data-driven decision-making across the organization.

Data-driven 94

Data-driven Data Lake Data Quality Data Governance 94

CIO Business Intelligence

JANUARY 20, 2023

Doing it right requires thoughtful data collection, careful selection of a data platform that allows holistic and secure access to the data, and training and empowering employees to have a data-first mindset. Security and compliance risks also loom. So an organization should decide what’s most important, he says.

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135

Alation

OCTOBER 12, 2021

There are inconsistent definitions and inconsistent metrics, and a lack of trust in the data used in the metrics. The fourth challenge was around using the data. There was a real lack of confidence in using the data and the risk of using the wrong data. Time spent managing data.

Strategy 52

Strategy Enterprise Analytics Data Governance 52