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

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

Alation

JUNE 16, 2021

“In rating the data catalog vendors, we considered all data catalog, collaborative, and governance features as reported by vendors and weighted by users. The report shows vendors with the strongest (or most complete) capabilities. The ease of finding data is tied to data leadership. Key Takeaways.

Reporting 52

Reporting Business Intelligence Data Governance Metadata 52

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

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 82

Risk Measurement Data Governance Insurance 82

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. Automation & Augmented Analytics. Increase in ROI.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

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

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 107

Data-driven Manufacturing Insurance Risk Management 107

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 78

Measurement Risk Data Collection Data Processing 78

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

CIO Business Intelligence

MARCH 8, 2023

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

Manufacturing 92

Manufacturing Business Objectives Cost-Benefit Optimization 92

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

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 115

Uncertainty Metadata Modeling Data Collection 115

CIO Business Intelligence

AUGUST 5, 2022

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

IT 97

IT Manufacturing Business Objectives Cost-Benefit 97

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). These reports include the cash flow statement, income statement, and balance sheet.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

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

Cloudera

MAY 9, 2019

The report created a readiness model with five dimensions and various metrics under each dimension. Based on your responses, an assessment report will be created. The report also guides you in evaluating your assessment report for your strengths and weaknesses. Each metric is associated with one or more questions.

IoT 52

IoT Modeling Metrics Measurement 52

Jet Global

SEPTEMBER 29, 2021

More than ever before, businesspeople rely on their Finance leaders to drive strategic initiatives and business growth, not just report the numbers, to help manage global risk and operations and better serve customers. Provide Access to Quality Data. Q uality data is accurate, relevant, and complete. Avoid “Vanity Metrics’.

Data-driven 52

Data-driven Finance Data Collection Metrics 52

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 83

Measurement Risk Data Processing Data Collection 83

erwin

JULY 26, 2019

Information is mostly collected, entered and maintained manually. Automated data collection and connection is costly and error-prone. Lack of true asset governance and collaboration. Collaboration on EA is seen as secondary and mostly focused on reports and status updates. Elevate Your Role.

Digital Transformation 106

Digital Transformation Strategy Enterprise Business Intelligence 106

O'Reilly on Data

JULY 28, 2020

Many companies face a problem that’s even worse: no one knows which levers contribute to the metrics that impact business outcomes, or which metrics are important to the company (such as those reported to Wall Street by publicly-traded companies). There are many excellent resources on data quality and data governance.

Marketing 362

Marketing Experimentation Metrics Testing 362

IBM Big Data Hub

MAY 28, 2024

Employees know their responsibilities for safeguarding sensitive information and often have training on data security policies, such as identifying phishing attempts, handling sensitive information securely and promptly reporting security incidents.

Strategy 45

Strategy Measurement Risk Cost-Benefit 45

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

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

IBM Big Data Hub

SEPTEMBER 27, 2022

AI model governance introduces technology to implement guardrails at each stage of the AI/ML lifecycle. This includes data collection, instrumenting processes and transparent reporting to make needed information available for all the stakeholders.

Consulting 52

Consulting Machine Learning Modeling Strategy 52

CIO Business Intelligence

MARCH 29, 2022

A common data habit that results in missed opportunity is assuming data has no further value once it’s been used for the particular purpose. Data is ingested, processed, transformed (perhaps for a specific report or to be stored in a traditional database), and then the raw or partially processed data is discarded.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

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 63

Measurement Metrics Strategy Reporting 63

Peter James Thomas

AUGUST 29, 2018

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

erwin

APRIL 18, 2019

Data governance , thankfully, provides a framework for compliance with either or both – in addition to other regulatory mandates your organization may be subject to. CCPA Compliance Requirements vs. Information sold to or by consumer reporting agencies. Data Governance for Regulatory Compliance. A Regulatory EDGE.

Data Governance 81

Data Governance Metadata Data-driven Data Collection 81

erwin

FEBRUARY 28, 2019

When you think of real-time, data-driven experiences and modern applications to accomplish tasks faster and easier, your local town or city government probably doesn’t come to mind. But municipal government is starting to embrace digital transformation and therefore data governance.

Digital Transformation 106

Digital Transformation Data Governance Data-driven Data Warehouse 106

Sisense

JULY 6, 2020

The volume and types of data are growing by the day, making data processing and generation of data insights more and more complicated. According to Experian’s 2019 Global Data Benchmark Report , companies believe that 29% of their customer and prospect data is inaccurate in some way.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

CIO Business Intelligence

NOVEMBER 28, 2023

Our rigorous data governance framework ensures the foundation of our analyses is rock-solid.” Prioritizing data that business users can act on is also vital. “By The process of making unstructured data usable doesn’t end with analysis, Minarik says. It culminates in the reporting and communication of findings.

Unstructured Data 129

Unstructured Data Data-driven Visualization Data Quality 129

erwin

APRIL 21, 2020

So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance. What’s the best way to organize data and ensure it is supported by business policies and well-defined, governed systems, data elements and performance measures? Put border controls in place.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance. What’s the best way to organize data and ensure it is supported by business policies and well-defined, governed systems, data elements and performance measures? Put border controls in place.

Measurement 96

Measurement Sales Data Governance Metadata 96

Cloudera

DECEMBER 14, 2020

CDP is the next generation big data solution that manages and secures the end-to-end data lifecycle – collecting, enriching, processing, analyzing, and predicting with their streaming data – to drive actionable insights and data-driven decision making. Why upgrade to CDP now?

Big Data 68

Big Data Data-driven Data Collection Enterprise 68