Anmut

OCTOBER 29, 2020

Data governance - who's counting? The role of data governance. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. In dealing with situations like pandemic data, how important are aspects of data governance such as standardised definitions?

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

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

Smart Data Collective

NOVEMBER 30, 2020

The GDPR and various state laws have forced companies to take a closer look at their data collection processes. The post Familiarize Yourself with the Legality of Data Accumulation Under New Data Governance Rules appeared first on SmartData Collective.

Data Governance 89

Data Governance Data Collection Marketing Strategy 89

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. to Data Governance 2.0

Data Governance 40

Data Governance ROI Risk Management Metadata 40

CIO Business Intelligence

JANUARY 24, 2024

“IT leaders should establish a process for continuous monitoring and improvement to ensure that insights remain actionable and relevant, by implementing regular review cycles to assess the effectiveness of the insights derived from unstructured data.” This type of environment can also be deeply rewarding for data and analytics professionals.”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

TDAN

FEBRUARY 21, 2024

Hands down one of the most frequent observations when walking the data factory at different clients is the excessive use of spreadsheets for data collection and purification. These spreadsheets are part of a critical data enrichment process for getting reports out the door on time.

Data Collection 98

Data Collection Reporting Data Governance Management 98

IBM Big Data Hub

APRIL 24, 2024

While following the law can help avoid penalties, it may not be enough to fully protect personally identifiable information (PII) and other sensitive data from hackers, misuse, and other privacy threats. Some kinds of data, like biometrics and social security numbers, require stronger protections than others.

Risk 89

Risk Measurement Data Governance Insurance 89

Alation

JULY 15, 2022

And, while change at large organisations is tough, data leaders would be wise to reframe such transformations as business opportunities rather than burdens. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical. Ethics in Regulation.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

Ontotext

FEBRUARY 12, 2024

Determine ownership by making sure all teams involved in the data mesh own the quality of their domain data, ensure service-level agreements are met, and share that data with data contracts. Domain teams should continually monitor for data errors with data validation checks and incorporate data lineage to track usage.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Help with Strategic Decision-Making.

Business Intelligence 132

Business Intelligence Visualization Dashboards Prescriptive Analytics 132

IBM Big Data Hub

FEBRUARY 23, 2024

Second, a comprehensive inventory makes it easier to comply with user requests to share, update, or delete their data. To ensure that consent is informed, the organization should clearly explain what it collects and how it will use that data at the point of data collection. Consents cannot be bundled, either.

Measurement 85

Measurement Risk Data Collection Data Processing 85

bridgei2i

MARCH 11, 2021

Easily understandable, highly curated, and reliable data helps Machine Learning (ML) tools evolve. As long as small businesses don’t have efficient data governance strategies, they can’t properly use AI and ML-powered tools. What is a Data Governance Strategy? They have access to large amounts of data.

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

Cloudera

SEPTEMBER 29, 2021

Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. . In Australia, the Government of New South Wales (NSW) is using data analytics to understand the impact of COVID-19, and also to make informed decisions driven by the data collected from across the state.

Digital Transformation 84

Digital Transformation Data Governance Data-driven Uncertainty 84

CIO Business Intelligence

MARCH 23, 2022

Therefore, the organization is burdened with ensuring that data collected from such devices is being used, shared and protected properly. Data governance, ownership and validity issues rise to the surface and must be addressed.

Technology 98

Technology IoT Internet of Things Data-driven 98

CIO Business Intelligence

MARCH 8, 2023

Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

Manufacturing 103

Manufacturing Business Objectives Cost-Benefit Optimization 103

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. Infrastructure.

Data Governance 76

Data Governance Strategy Enterprise Machine Learning 76

Cloudera

AUGUST 12, 2021

The report classified employees’ reasons for leaving into six broad categories such as growth opportunity and job security, demonstrating the importance of using performance data, data collected from voluntary departures and historical data to reduce attrition for strong performers and enhance employees’ well-being.

Data-driven 109

Data-driven Manufacturing Insurance Risk Management 109

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy.

Data Governance 88

Data Governance Metadata Data-driven Enterprise 88

Ontotext

NOVEMBER 16, 2023

Data mesh solves this by promoting data autonomy, allowing users to make decisions about domains without a centralized gatekeeper. It also improves development velocity with better data governance and access with improved data quality aligned with business needs.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

Alation

JUNE 16, 2021

Alation … [offers a] dedicated data catalog… while others include this functionality as a part of a broader (e.g., Wisdom of Crowds® research is based on data collected on usage and deployment trends, products, and vendors. Data governance is a growing focus. business intelligence) solution.

Reporting 52

Reporting Business Intelligence Data Governance Metadata 52

CIO Business Intelligence

APRIL 8, 2022

This is a push towards greater data security, pointing to China’s plans for implementing broader, yet more stringent regulations, alongside heftier penalties. The DSL is about restricting invasive data collection. Under it, companies need to deliver higher protection for important data and core state data.

Consulting 98

Consulting Marketing Data Governance Sales 98

CIO Business Intelligence

AUGUST 5, 2022

Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

IT 98

IT Manufacturing Business Objectives Cost-Benefit 98

Smart Data Collective

DECEMBER 21, 2022

Data that is unsystematic and includes unnecessary information can not only needlessly strain IT systems but can also attract cyber attackers who seek out weaknesses in network infrastructures. Tips for successful data cleansing. Data cleansing isn’t a one-time activity.

Business Analytics 112

Business Analytics Analytics Data Quality Big Data 112

Data Insight

JANUARY 21, 2020

Though we’re still in the early days of 5G, we expect to see improvements to latency and increased data volumes passing through the network in 2020 - more devices, more complex data capture… more, more, and more. What does this mean for consumers? Well, that TV series that took you minutes to download, will now take seconds.

Internet of Things 52

Internet of Things Cost-Benefit Data Science Data Governance 52

IBM Big Data Hub

DECEMBER 16, 2022

At IBM, we have an AI Ethics Board that supports a centralized governance, review, and decision-making process for IBM ethics policies, practices, communications, research, products and services. AI governance technology can help implement guardrails at each stage of the AI/ML lifecycle.

Uncertainty 120

Uncertainty Metadata Modeling Data Collection 120

CIO Business Intelligence

MARCH 23, 2023

New rules around data sovereignty are designed to keep data out of the hands of other countries, bad actors, and those without authorized access. Data sovereignty is the right to control citizens’ data collection, ownership, and application.

Metadata 52

Metadata Data Governance Data Collection Strategy 52

Jet Global

SEPTEMBER 29, 2021

Provide Access to Quality Data. Q uality data is accurate, relevant, and complete. Although ensuring data collection is accurate and reliable is important, leveraging data for strategic decision-making is essential. Make data accessible to all employees who need it to make decisions. Avoid “Vanity Metrics’.

Data-driven 52

Data-driven Finance Data Collection Metrics 52

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 138

Management Internet of Things Statistics Data-driven 138

TDAN

APRIL 30, 2019

Data collection is getting more dispersed and voluminous every day. Enterprises create and collect information from a variety of data sources which may include websites, mobile devices, customers, vendors, and other numerous sources.

Management 69

Management Data Collection Enterprise Data Governance 69

O'Reilly on Data

JULY 28, 2020

Qualitative data collection tools (such as SurveyMonkey , Qualtrics , and Google Forms ) should be joined with interface prototyping tools (such as Invision and Balsamiq ), and with data prototyping tools (such as Jupyter Notebooks ) to form an ecosystem for product development and testing. Conclusion.

Marketing 362

Marketing Experimentation Metrics Testing 362

IBM Big Data Hub

JANUARY 22, 2024

The GDPR defines the circumstances under which companies can legally process personal data. An organization must establish and document its legal basis before collecting any data. The organization must communicate this basis to users at the point of data collection.

Measurement 90

Measurement Risk Data Processing Data Collection 90

CIO Business Intelligence

MAY 17, 2022

This incident, which provides insight into what can go wrong for any enterprise that has deployed AI without adequate data governance , is just the latest in a series of high-profile companies that have seen their AI-related PR disasters all over the front pages. We have very low confidence that our solutions are sufficient.”.

Risk 145

Risk Consulting Machine Learning Data Science 145

Cloudera

MAY 9, 2019

Data readiness – These set of metrics help you measure if your organization is geared up to handle the sheer volume, variety and velocity of IoT data. It is meant for you to assess if you have thought through processes such as continuous data ingestion, enterprise data integration and data governance.

IoT 54

IoT Modeling Metrics Measurement 54

Alation

FEBRUARY 13, 2020

Today, we’re announcing that Alation has closed a $50 million Series C funding led by Sapphire Ventures, with participation from new investor Salesforce Ventures and our existing investors Costanoa Ventures, DCVC (Data Collective), Harmony Partners and Icon Ventures.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Alation

FEBRUARY 13, 2020

Benefits of a Data Catalog. What Does a Data Catalog Do? A modern data catalog includes many features and functions that all depend on the core capability of cataloging data—collecting the metadata that identifies and describes the inventory of shareable data. Benefits of a Data Catalog. Conclusion.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109