erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data. Data Governance.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

Cloudera

FEBRUARY 4, 2021

Cloudera comprehensively supports the demanding risk and compliance requirements of financial services and insurance organizations globally and it is an honor to receive this recognition. Supporting the industry’s risk data depository and data management needs. Shared Data Experience (SDX).

Risk 86

Risk Marketing Technology Management 86

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

erwin

OCTOBER 17, 2019

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. Analyst firm Ovum recently released a new report titled Ovum Market Radar: Enterprise Architecture. The Regulatory Rationale for Integrating Data Management & Data Governance.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

IBM Big Data Hub

JUNE 29, 2023

Integrated Business Planning (IBP) addresses these challenges by providing a comprehensive framework that integrates strategic, operational and financial planning, analysis, and reporting to drive better business outcomes. Key performance indicators (KPIs) are established to measure progress and enable proactive management.

Key Performance Indicator 83

Key Performance Indicator Forecasting Data Integration Sales 83

Alation

JUNE 14, 2021

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. So CISOs must protect data.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Cloudera

AUGUST 12, 2021

A data-driven approach to talent management and development brings about greater transparency, reduced attrition and more effective training and enablement. A 2020 retention report by the Work Institute revealed that over 42 million employees in the US left their jobs voluntarily in 2019, and this trend appeared to be increasing.

Data-driven 108

Data-driven Manufacturing Insurance Risk Management 108

erwin

JUNE 14, 2019

According to IDC’s digital transformation predictions report for 2019, these types of initiatives are going to flood the enterprise during the next five years. Four main areas in retail demonstrate digital transformation, with a healthy data governance initiative driving them all. Data can tell you.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

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 86

Insurance Risk Management Machine Learning Metadata 86

IBM Big Data Hub

NOVEMBER 28, 2022

Suppose that a new data asset becomes available but remains hidden from your data consumers because of improper or inadequate tagging. How do you keep pace with growing data volumes and increased demand from data consumers and deliver real-time data governance for trusted outcomes? Improve data discovery.

Metadata 57

Metadata Data Quality Data-driven Data Governance 57

Cloudera

MARCH 25, 2021

Now, the purpose and approved use of that data will be under greater scrutiny at a time when the potential use of that data is in high demand. It won’t matter if you can collect social media data or geo location data, images, etc. if you cannot properly secure that data. It’s just not easy.

Data Strategy 64

Data Strategy Strategy Enterprise Insurance 64

erwin

AUGUST 20, 2020

In the age of data-driven business, the most common EA use cases are: Digital Transformation. Data Governance. EA provides context and perspective as to how and where data is used, including the applications, policies and processes that leverage it. Application Portfolio Management. Big Data Adoption.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

Alation

OCTOBER 26, 2021

They need trusted data to drive reliable reporting, decision-making, and risk reduction. A Strong Data Culture Supports Strategic Decision Making. Our successful customers invest in and infuse data and analytics throughout the enterprise.

Finance 52

Finance Data Transformation Enterprise Metrics 52

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Comparing leading BI tools provides valuable insights into the diverse capabilities and features available for data analysis and reporting.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

DECEMBER 14, 2023

While the need for reliable, resilient, recoverable and corruption-free data governance has long been achieved by a backup and recovery routine, more modern techniques have been developed to support proactive measures that protect against threats before they occur.

Risk 85

Risk Measurement Business Objectives Optimization 85

erwin

NOVEMBER 13, 2020

Data Security & Risk Management. Innovation Management. Data Center Consolidation. Application Portfolio Management. Data Governance (knowing what data you have and where it is). See also: Forrester’s Enterprise Architecture Management Suite Report.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 116

Digital Transformation Strategy Data-driven Data Strategy 116

erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Data Governance Bottlenecks. Regulations.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Ontotext

APRIL 21, 2021

The problem was the left hand had no way of knowing the systemic issues around data governance, risk management and compliance framework. One of the biggest, and costly failures, was the inability to produce reports for management and regulatory agencies.

Metadata 59

Metadata Finance Cost-Benefit Data Quality 59

bridgei2i

NOVEMBER 25, 2020

Automation and Data Governance. The process of data classification can be automated to save time and minimize errors. are ways in which enterprise AI tools help handling the vast data and information scattered throughout the enterprise.

Enterprise 52

Enterprise Data mining Consulting Risk Management 52

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes. This results in enhanced efficiency in compliance processes.

Insurance 84

Insurance Data Architecture Risk Management Risk 84

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Up your liquidity risk management game Historically, technological limitations made it difficult for financial institutions to accurately forecast and manage liquidity risk.

Data Architecture 82

Data Architecture Risk Management Risk Management 82

IBM Big Data Hub

MARCH 26, 2024

As we have seen with any sort of external reporting liabilities, this type of accountability does drive action. It’s our responsibility to ensure we don’t just do ESG reporting for the sake of reporting, and that it doesn’t impede actual progress in sustainability.

Measurement 67

Measurement Metrics Strategy Reporting 67

Cloudera

JULY 29, 2022

Most importantly, it helps organizations control costs and reduce risks, enforcing consistent security and governance across all enterprise data assets.”. The report has uncovered customer centricity to be the key priority for both telco and FSI organizations when it comes to using data.

Data Architecture 84

Data Architecture Data Strategy Risk Management Strategy 84

CIO Business Intelligence

MAY 30, 2023

Other top 10 initiatives seeing increased CIO involvement include the related areas of data privacy and compliance (at No. 3, with 55% of responding IT leaders listing this area) and risk management (at No. 9, with 47% involved in such). All that,” he adds, “points to the conversation around how can IT bring more business value.”

IT 129

IT Risk Optimization Technology 129

Corinium

APRIL 25, 2019

In data-driven organizations, data is flowing. It is being aggregated from various transactional systems into data masters or data lakes, being analysed, being distributed to downstream users or even 3rd-parties, reported on, exported to Excel, attached to emails, you name it, data is being shared across silos.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

erwin

APRIL 21, 2020

One of the biggest lessons we’re learning from the global COVID-19 pandemic is the importance of data, specifically using a data catalog to comply, collaborate and innovate to crisis-proof our businesses. Catalog critical systems and data elements, plus enable the calculation and evaluation of key performance measures.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

One of the biggest lessons we’re learning from the global COVID-19 pandemic is the importance of data, specifically using a data catalog to comply, collaborate and innovate to crisis-proof our businesses. Catalog critical systems and data elements, plus enable the calculation and evaluation of key performance measures.

Measurement 96

Measurement Sales Data Governance Metadata 96

Alation

FEBRUARY 8, 2022

Making the experts responsible for service streamlines the data-request pipeline, delivering higher quality data into the hands of those who need it more rapidly. Some argue that data governance and quality practices may vary between domains. Interoperable and governed by global standards. ” 1.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

erwin

OCTOBER 24, 2019

As a result, the applications and initiatives that depend on a solid data infrastructure may be compromised, leading to faulty analysis and insights. Metadata Is the Heart of Data Intelligence. 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

Cloudera

NOVEMBER 18, 2021

As a bank that understands the future of financial services as data-driven, Bank of the West chose to adopt the Cloudera platform as the linchpin of its digital transformation. In doing so, Bank of the West has modernized and centralized its Big Data platform in just one year. Industry Transformation.

Data Lake 74

Data Lake Cost-Benefit Digital Transformation Risk 74

DataRobot

DECEMBER 6, 2021

This year in North America, AI impact assessments are being developed for government organizations. The US Government Accountability Office published Artificial Intelligence: An Accountability Framework for Federal Agencies and Other Entities. All recommend broader contextualization, improved risk management, and human oversight.

Data-driven 52

Data-driven Risk Publishing Risk Management 52

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Find out what is working, as you don’t want to totally scrap an already essential report or process. What data analysis questions are you unable to currently answer? click to enlarge**.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

JUNE 14, 2022

Such strategic missteps may signal an ongoing issue at the C-level, with company leaders recognizing the importance of data and analytics but falling short on making the strategic changes and investments necessary for success. It should also reduce threats identified in enterprise risk management plans and help capitalize on opportunities.

Data Transformation 142

Data Transformation Data-driven Data Strategy Strategy 142

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 Strategy Reporting 52