Cloudera

MARCH 25, 2021

Will the data privacy controls ultimately help create an enterprise approach to data? Data lies at the heart of knowing the customer and enabling a better customer experience. Risk management can be optimized by the improved use of data and analytics to run models, account for more variables and scrutinize probable outcomes.

Data Strategy 64

Data Strategy Strategy Enterprise Insurance 64

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 140

Digital Transformation Unstructured Data Machine Learning Risk Management 140

CIO Business Intelligence

MAY 13, 2024

watsonx.governance is a toolkit for governing generative AI and machine learning models. It focuses on three core areas of documentation: compliance, risk management, and model lifecycle management — processes IBM says are intertwined. What is IBM’s strategy with watsonx.governance? per resource unit.

Risk 104

Risk Machine Learning Modeling Enterprise 104

TDAN

APRIL 6, 2021

There is an ever-increasing awareness of concerns about data privacy, corporate data breaches, increasing demands for regulatory compliance. There are also emerging concerns about the ways that big data analytics potentially influence and bias automated decision-making.

Risk Management 64

Risk Management Risk Management Big Data 64

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 131

IT Risk Cost-Benefit Risk Management 131

erwin

OCTOBER 17, 2019

The Regulatory Rationale for Integrating Data Management & Data Governance. Data security/risk management. EA should be commonplace in data security planning. Data governance. It also helps define strategy and models, improving interdepartmental cohesion and communication.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

erwin

JUNE 14, 2019

The inherently competitive nature of retail has made the sector a leader in adopting data-driven strategy. Four main areas in retail demonstrate digital transformation, with a healthy data governance initiative driving them all. This is an important data point for marketing strategy. Data can tell you.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

FineReport

APRIL 9, 2024

Additionally, BI tools enable organizations to adopt a data-driven approach to strategy formulation, leading to more informed decision-making at all levels. The implementation empowered the organization with predictive modeling capabilities, enabling proactive risk mitigation and personalized customer engagement strategies.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

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 88

Metadata Data Governance Measurement Risk Management 88

IBM Big Data Hub

JUNE 29, 2023

By having real-time data at their fingertips, decision-makers can adjust their strategies, allocate resources accordingly, and capitalize on the unexpected spike in demand, ensuring customer satisfaction while maximizing revenue. These tools enable the extraction, transformation, and loading (ETL) of data from various sources.

Key Performance Indicator 83

Key Performance Indicator Forecasting Data Integration Sales 83

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

IBM Big Data Hub

JANUARY 19, 2023

In implementing cohesive data protection initiatives, organizations that can secure their users’ data see huge wins in brand image and customer loyalty and stand out in the marketplace. The key to differentiation comes in getting data protection right, as part of an overall data strategy.

Risk Management 62

Risk Management Risk Strategy Data Strategy 62

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

Laminar Security

DECEMBER 22, 2023

Implementing DSPM for cost reduction Effective implementation of Data security posture management (DSPM) can drive significant cost reductions in cloud storage by addressing three critical areas: risk management, access governance, and compliance.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

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

Cloudera

SEPTEMBER 29, 2021

This data can also provide crucial insights should a disease outbreak occur, allowing for an effective and rapid response to curb further outbreaks. . With the amount of data governments have at their disposal, it is also critical to ensure that there are robust data governance frameworks in place.

Digital Transformation 79

Digital Transformation Data Governance Data-driven Uncertainty 79

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 86

Risk Measurement Business Objectives Optimization 86

Ontotext

SEPTEMBER 1, 2023

LLMs can even take tone and style into account where responses can be modified by incorporating personas such as asking ChatGPT (powered by an LLM) to explain the concept of data governance through a Taylor Swift style lyric. For example, if input training data is of bad quality, the results from AI algorithms will be substandard too.

Risk 52

Risk Modeling Data Quality Data Governance 52

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). Digital Transformation. Compliance/Legislation. Artificial Intelligence. Mergers and Acquisitions.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

Corinium

APRIL 25, 2019

I am head of Products here, which comprises of R&D, Product Management and Global Customer support. Most of my days focus on understanding what’s happening in the market, defining overall product strategy and direction, and translating into execution across the various teams. You want data-focused policies that follow the data.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

erwin

OCTOBER 24, 2019

. • Socializing data – Empower stakeholders to see data in one place and in the context of their roles. Addressing the Complexities of Metadata Management. erwin has developed the only data intelligence platform that provides organizations with a complete and contextual depiction of the entire metadata landscape.

Metadata 104

Metadata Management Data-driven Data Architecture 104

AWS Big Data

AUGUST 14, 2023

In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.

Management 76

Management Risk Measurement Optimization 76

IBM Big Data Hub

JULY 7, 2023

An example of the importance of data privacy is in the healthcare industry, where it’s critical to protect confidential patient information for patient trust and comply with regulations. The key to secure data is maintaining an organization’s data confidentiality, integrity and availability (CIA) throughout its lifecycle.

Risk 40

Risk Data Governance Data Lake Data-driven 40

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

Grooper

OCTOBER 23, 2019

Lack of competitiveness or business losses seem to be the main drivers to becoming more proactive with data governance and management. What you’re shooting for is enterprise-wide information governance. Governance. Responsibility for managing your company’s data must be clearly defined and supported.

Metrics 59

Metrics Measurement Strategy Optimization 59

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 84

Insurance Data Architecture Risk Management Risk 84

Andrew White

JANUARY 11, 2021

Do you recommend a consulting approach strategy rather than a CDO strategy? How do you think Technology Business Management plays into this strategy? Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

TDAN

MARCH 15, 2022

I had something else nearly ready that was expanding on the broad questions of ethics in information and data management I discussed last time, drawing on some work I’m doing with an international client and a recent roundtable discussion I had with some regulators […].

Management 125

Management Risk Management Risk Data Strategy 125

IBM Big Data Hub

MARCH 26, 2024

Maximizing value with a holistic strategy The first step in maximizing that dual value is upfront due diligence to assess the current state of reporting readiness, alignment between ESG requirements and voluntary sustainability initiatives, and consider how to drive acceleration with future-proofed solutions.

Measurement 67

Measurement Metrics Strategy Reporting 67

TDAN

JUNE 15, 2021

We have seen an impressive amount of hype and hoopla about “data as an asset” over the past few years. And one of the side effects of the COVID-19 pandemic has been an acceleration of data transformation in organisations of all sizes. But data management teams in organisations often still struggle with how to communicate […].

Data Transformation 98

Data Transformation Management Risk Management Risk 98

TDAN

MARCH 16, 2021

Taking Stock A year ago, organisations of all sizes around the world were catapulted into a cycle of digital and data transformation that saw many industries achieve in a matter of weeks in what would otherwise have taken many years to achieve. Small businesses pivoted to doing business online in a way that they might […].

Data Transformation 98

Data Transformation Risk Management Risk Data Strategy 98

IBM Big Data Hub

MAY 14, 2024

Companies across industries are realizing the need to integrate artificial intelligence (AI) into their core strategies from the top to avoid falling behind. These AI leaders are responsible for developing a blueprint for AI adoption and oversight both in companies and the federal government. federal agencies to help them develop AI.

Risk 86

Risk Risk Management Measurement Strategy 86

Cloudera

JULY 29, 2022

Some even have too much data, so much so that the insights are obscured by the sheer volume and speed of the data coming in. All successful organizations have business strategies in place that help them achieve their objectives. These strategies are usually long-term and include plans and actions on how to reach their goals. .

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. IT Leadership, IT Strategy 9, with 47% involved in such). Analytics is the No.

IT 129

IT Risk Optimization Technology 129

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

CIO Business Intelligence

MARCH 25, 2022

Policy makers around the world have been recognizing this heightened risk, which has been further amplified by the recent geopolitical tensions. The European Union (EU) has pulled together a proposal for a unified framework to regulate risk management for financial institutions.

Finance 81

Finance KPI Risk IoT 81

Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52