Alation

SEPTEMBER 7, 2021

In this blog we will discuss how Alation helps minimize risk with active data governance. Now that you have empowered data scientists and analysts to access the Snowflake Data Cloud and speed their modeling and analysis, you need to bolster the effectiveness of your governance models.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Alation

FEBRUARY 14, 2023

And a data breach poses more than just a PR risk — by violating regulations like GDPR , a data leak can impact your bottom line, too. This is where successful data governance programs can act as a savior to many organizations. This begs the question: What makes data governance successful?

Data Governance 52

Data Governance ROI Metrics Cost-Benefit 52

erwin

APRIL 15, 2020

In our businesses, it is vital that we work to develop a deeper understanding of the sources, methods and quality of incoming third-party data. This deeper understanding will help us make better decisions about the risks and rewards of using that external data. Data Governance Methods for Data Distancing.

Data Governance 134

Data Governance Metadata Testing Reporting 134

Anmut

MARCH 22, 2023

This ultimately allows for more effective goal-setting, with targets determined according to both your data maturity right now and the desired stage you want to attain in the future. Why do we need data maturity models? A data maturity model helps your company measure its data and business health.

Measurement 52

Measurement Modeling Data Quality Data Governance 52

Alation

SEPTEMBER 9, 2021

Internal and external auditors work with many different systems to ensure this data is protected accordingly. This is where data governance comes in: A robust program allows banks and financial institutions to use this data to build customer trust and still meet compliance mandates. What is Data Governance in Banking?

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

IBM Big Data Hub

DECEMBER 14, 2023

To combat these ever-growing risks, the concept of cyber resiliency has gained significant importance. Cyber resiliency goes beyond mere cybersecurity measures. It encompasses a holistic approach that focuses on resilience at every level of an organization’s infrastructure, from applications and networks to data and people.

Risk 79

Risk Measurement Business Objectives Optimization 79

IBM Big Data Hub

MAY 28, 2024

While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization. What is a data protection strategy? Its principles are the same as those of data protection—to protect data and support data availability.

Strategy 83

Strategy Measurement Risk Cost-Benefit 83

CDW Research Hub

MAY 29, 2019

Data governance helps organizations manage their information and answer questions about business performance, allowing them to better understand data, and govern it to mitigate compliance risks and empower information stakeholders. Checklist: Building an Enterprise Data Governance Program.

Data Governance 40

Data Governance Data Quality ROI Metadata 40

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

IBM Big Data Hub

APRIL 24, 2024

Deploying privacy protections: The app uses encryption to protect data from cybercriminals and other prying eyes. Even if the data is stolen in a cyberattack , hackers can’t use it. These access controls reduce the chances that the data is used for unauthorized or illegal purposes.

Risk 79

Risk Measurement Data Governance Insurance 79

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

TDAN

NOVEMBER 15, 2022

At the recent InfoGovWorld conference, I had the opportunity to participate in a panel discussion about the future of Data Governance. Common themes were the growing importance of governance metadata, especially in the areas of business value, success measurement and reduction in operational and data risk.

Metadata 52

Metadata Management Data Governance Measurement 52

Laminar Security

DECEMBER 22, 2023

This type of data, which often accumulates unnoticed, can significantly inflate cloud storage costs. By using DSPM tools to pinpoint and remove ROT data, businesses can both reduce their storage needs and also streamline their operations while minimizing the risk of data breaches.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

TDAN

MARCH 20, 2024

As data has catapulted to a new and valuable business asset class, and as AI is increasingly used in business operations, the use of AI has created hidden data and IP risks. These risks must be identified and then measures must be taken to protect against both a loss of rights and an infringement of […]

Measurement 59

Measurement Risk Data Governance Management 59

Laminar Security

JULY 19, 2023

By extending its support to include BigQuery, Laminar ensures that organizations can maintain a consistent and robust security posture while harnessing the power of data analytics. The Risk of “Shadow” Data While these tools offer immense possibilities, they also introduce certain risks.

Data Warehouse 91

Data Warehouse Data-driven Data Governance Risk 91

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. Quality assurance measures play a pivotal role in validating the accuracy and relevance of data utilized by BI tools.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

MAY 9, 2023

Like most CIOs you’ve no doubt leaned on ROI, TCO and KPIs to measure the business value of your IT investments. Those Three Big Acronyms are still important for fine-tuning your IT operations, but success today is increasingly measured in business outcomes. Maybe you’ve even surpassed expectations in each of these yardsticks.

ROI 127

ROI Cost-Benefit KPI Uncertainty 127

IBM Big Data Hub

FEBRUARY 23, 2024

The GDPR applies to any organization that processes the personal data of European residents, regardless of where that organization is based. Common responsibilities include overseeing risk assessments, training employees on data protection principles, and working with government authorities.

Measurement 76

Measurement Risk Data Collection Data Processing 76

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 86

Strategy Data Architecture Cost-Benefit Reporting 86

Laminar Security

DECEMBER 13, 2023

Close to 70% of respondents in an ISC report indicated that they believe their organization lacks requisite cybersecurity staff to handle cloud data risk effectively. Learn in this article how Laminar harnesses AI for data discovery and classification and reduces public cloud data risks.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

AUGUST 17, 2023

Anna Ransley, a CD&IO known for her work at Godiva and Heineken, among others, has been advising boards and C-suites about generative AI strategy, risks, and opportunities. We get what we measure. And right now, we’re measuring the wrong things to prepare our workforce for changes that are actively happening.

Measurement 98

Measurement Risk Testing Technology 98

Octopai

APRIL 20, 2023

DAX is the formula language utilized in Tabular models, Power BI, and SSRS for creating calculated columns, measures, and other advanced calculations. Automated Data Lineage is a crucial component of Octopai’s solution, as it offers accurate records of data flows and relationships involving DAX calculations.

Sales 78

Sales Data Governance Reporting Optimization 78

O'Reilly on Data

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Any metric can and will be abused.

Marketing 363

Marketing Experimentation Metrics Testing 363

Octopai

JUNE 19, 2023

Data Catalogs also allow for Improved Collaboration by serving as a central repository for enterprise data, a data catalog facilitates collaboration among different teams. Everyone has access to the same data and the same understanding of what the data represents, reducing miscommunications and discrepancies.

Metadata 88

Metadata Data Governance Measurement Risk Management 88

IBM Big Data Hub

JUNE 29, 2023

By integrating financial planning with strategic and operational planning, organizations can evaluate financial profitability, identify potential gaps or risks, and make necessary adjustments to achieve financial targets. Key performance indicators (KPIs) are established to measure progress and enable proactive management.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

CIO Business Intelligence

AUGUST 24, 2023

Gen AI has the potential to magnify existing risks around data privacy laws that govern how sensitive data is collected, used, shared, and stored. We’re getting bombarded with questions and inquiries from clients and potential clients about the risks of AI.” The risk is too high.”

Uncertainty 98

Uncertainty Risk Testing Enterprise 98

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. Uncertainty is a measure of our confidence in the predictions made by a system.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102

IBM Big Data Hub

JANUARY 22, 2024

The practical steps an organization takes to meet these requirements will depend on its location, resources and data processing activities, among other factors. Organizations with more than 250 employees must keep records of data processing. The organization conducts data protection impact assessments (DPIAs) as required.

Measurement 81

Measurement Risk Data Processing Data Collection 81

Cloudera

JUNE 22, 2023

It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud. Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

Data Insight

SEPTEMBER 5, 2023

These are like a bank vault door, protecting your data from invaders. Ensure you govern your data This is your second line of defense and ensures that if your walls are breached you still have other security measures in place. To effectively manage your data, you need to embrace Data Governance.

Data Governance 40

Data Governance Measurement Software Testing 40

CIO Business Intelligence

JANUARY 19, 2024

By systematically integrating stringent measures aligned with prevailing industry standards, these CISOs exemplify the commitment required to uphold privacy and security imperatives. CISOs can smoothly ensure ethical data practices, enabling them to earn their desired cybersecurity certifications easily.

IT 120

IT Insurance Data Governance Measurement 120

erwin

SEPTEMBER 13, 2022

With robust data intelligence and governance in place, organizations can safeguard and guarantee data is utilized responsibly to minimize business risk, as well as ensure it is easily accessible to all who need it to make data-driven decisions and take action. Learn how to maximize the business impact of your data.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 52

CIO Business Intelligence

JUNE 30, 2023

All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. As these trends continue to evolve, building your data strategy around the principles of openness and governance assures trust in the data.

Internet of Things 104

Internet of Things Strategy Data Strategy Risk 104

Anmut

APRIL 6, 2023

What are the Benefits of Doing a Data Maturity Assessment? How do you do a Data Maturity Assessment? What does a Data Maturity Assessment Measure? What makes a Good Data Maturity Assessment? What is a Data Maturity Assessment? What does a Data Maturity Assessment Measure?

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

erwin

JUNE 26, 2020

These fragmented data environments make data governance a challenge since business stakeholders, data analysts and other users are unable to discover data or run queries across an entire data set. This also diminishes the value of data as an asset. Do employees have remote access to essential systems?

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

O'Reilly on Data

FEBRUARY 11, 2019

At Strata Data San Francisco, Netflix , Intuit , and Lyft will describe internal systems designed to help users understand the evolution of available data resources. As companies ingest and use more data, there are many more users and consumers of that data within their organizations. Data Platforms.

Big Data 212

Big Data Technology Machine Learning Deep Learning 212