CIO Business Intelligence

MARCH 19, 2025

Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59

IT Data Governance Data-driven Metrics 59

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 124

Data Governance Unstructured Data Metadata Data Lake 124

AWS Big Data

NOVEMBER 20, 2024

For example, one of our customers, Bristol Myers Squibb (BMS), leverages Amazon DataZone to address their specific data governance needs. This feature also supports metadata enforcement for subscription requests of a data product. For instructions on how to set this up, refer to Amazon DataZone data products.

Metadata 95

Metadata Data Governance Metrics Marketing 95

CIO Business Intelligence

DECEMBER 18, 2024

CIOs must tie resilience investments to tangible outcomes like data protection, regulatory compliance, and AI readiness. Resilience frameworks have measurable ROI, but they require a holistic, platform-based approach to curtail threats and guide the safe use of AI, he adds. Its a business imperative, says Juan Perez, CIO of Salesforce.

Risk 106

Risk Risk Management Cost-Benefit Measurement 106

AWS Big Data

JANUARY 15, 2025

Data landscape in EUROGATE and current challenges faced in data governance The EUROGATE Group is a conglomerate of container terminals and service providers, providing container handling, intermodal transports, maintenance and repair, and seaworthy packaging services. Eliminate centralized bottlenecks and complex data pipelines.

IoT 111

IoT Machine Learning Metadata Data-driven 111

CIO Business Intelligence

JANUARY 30, 2025

This is the process that ensures the effective and efficient use of IT resources and ensures the effective evaluation, selection, prioritization and funding of competing IT investments to get measurable business benefits. AI governance. Lets talk about a few of them: Lack of data governance.

Testing 93

Testing Metrics Cost-Benefit Modeling 93

TDAN

FEBRUARY 14, 2023

One intriguing question I have been asked more than once is: “What metrics and measurements are useful for managing how effective your DBA group […] Readers of my writings sometimes ask me questions about databases and database administration, which I welcome.

Measurement 81

Measurement Metrics Management Data Architecture 81

Alation

JANUARY 20, 2022

In Ryan’s “9-Step Process for Better Data Quality” he discussed the processes for generating data that business leaders consider trustworthy. To be clear, data quality is one of several types of data governance as defined by Gartner and the Data Governance Institute. Step 7: Data Quality Metrics.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

DataKitchen

NOVEMBER 18, 2021

In our survey, data engineers cited the following as causes of burnout: The relentless flow of errors. Restrictive data governance Policies. For see the entire results of the data engineering survey, please visit “ 2021 Data Engineering Survey: Burned-Out Data Engineers are Calling for DataOps.”.

Testing 246

Testing Data Governance Measurement Software 246

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . DataOps requires that teams measure their analytic processes in order to see how they are improving over time.

Testing 304

Testing Machine Learning Consulting Data Science 304

erwin

JANUARY 31, 2019

And even organizations that are currently compliant can’t afford to let their data governance standards slip. Data Governance for GDPR. Google’s record GDPR fine makes the rationale for better data governance clear enough. So arguably, the “tertiary” benefits of data governance should take center stage.

Data Governance 72

Data Governance Metadata Cost-Benefit Enterprise 72

datapine

MARCH 25, 2019

Data analysis method focuses on strategic approaches to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives that benefit improvement. Build a data management roadmap. Visualize your data.

Key Performance Indicator 217

Key Performance Indicator Statistics Big Data Visualization 217

Alation

MARCH 5, 2021

Data governance defines how data should be gathered and used within an organization. It address core questions, such as: How does the business define data? How accurate must the data be for use? Organizations have much to gain from learning about and implementing a data governance framework.

Data Governance 59

Data Governance Data Quality Dashboards Risk 59

CIO Business Intelligence

MARCH 6, 2024

Look at changing metrics and KPIs as a gift. The metrics you use to measure a cloud company are different than those you use to measure an enterprise license and maintenance company. In the old model, for example, we didn’t talk about churn, but in the cloud, churn is one of the key metrics. What’s the calculation?

Modeling 116

Modeling Management IT Metrics 116

AWS Big Data

JULY 29, 2024

In this blog post, we’ll discuss how the metadata layer of Apache Iceberg can be used to make data lakes more efficient. You will learn about an open-source solution that can collect important metrics from the Iceberg metadata layer. This ensures that each change is tracked and reversible, enhancing data governance and auditability.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

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? Where do you start?

Data Governance 52

Data Governance ROI Metrics Cost-Benefit 52

datapine

DECEMBER 11, 2019

Vertical SaaS also provides the following benefits: Customer intelligence: Enables businesses to obtain industry-specific customer data and intelligence, which plays a critical role in gaining customer-focused insights. Is my data protected while the integration process is worked through? 4) Increased Thought Leadership.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

CIO Business Intelligence

JUNE 4, 2024

SAP Analytics Cloud will also, in the second half of the year, be able to connect to SQL data sources as live connections, eliminating the need to replicate data. Also later this year, customers will be able to make natural language requests for insights into processes that will generate charts and metrics.

IT 122

IT Data Governance Business Objectives Visualization 122

Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

SEPTEMBER 14, 2021

The importance of data governance is growing. Here at Alation, we’ve seen the demand for new robust governance capabilities skyrocket in the past year. Alation Data Governance App. The Data Governance App introduces a range of new capabilities to make governance more easy and effective.

Data Governance 52

Data Governance Dashboards Measurement Machine Learning 52

CIO Business Intelligence

DECEMBER 11, 2024

Issues around data governance and challenges around clear metrics follow the top challenge areas. At its core, Responsible AI begins with good policy and that flows onto rigorous technical execution, ensuring good governance is embedded at the heart of AI Leaders systems.

ROI 59

ROI Experimentation Insurance Strategy 59

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

OCTOBER 28, 2021

This data is also a lucrative target for cyber criminals. Healthcare leaders face a quandary: how to use data to support innovation in a way that’s secure and compliant? Data governance in healthcare has emerged as a solution to these challenges. Uncover intelligence from data. Protect data at the source.

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

Alation

JANUARY 27, 2022

People might not understand the data, the data they chose might not be ideal for their application, or there might be better, more current, or more accurate data available. An effective data governance program ensures data consistency and trustworthiness. It can also help prevent data misuse.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

datapine

FEBRUARY 22, 2022

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. A planned BI strategy will point your business in the right direction to meet its goals by making strategic decisions based on real-time data.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

CIO Business Intelligence

JULY 22, 2024

Leaders should also set measurable goals for what the AI implementation aims to achieve to better understand its outcomes. In parallel, teams should ensure regular monitoring and performance evaluations are happening to track progress against the implementation’s objectives and metrics such as accuracy, efficiency, and patient outcomes.

Enterprise 126

Enterprise Testing Predictive Analytics Metrics 126

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. So why are organizations not able to scale governance? Meet Governance Requirements.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

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 Unstructured Data 52

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

JUNE 14, 2022

For the second year in a row, Snowflake has named Alation its Data Governance Partner of the Year. This back-to-back recognition is testament to Alation’s essential role within the Snowflake partner ecosystem at the intersection of data cloud migration , active data governance , and self-service.

Data Governance 52

Data Governance Insurance Data-driven Digital Transformation 52

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 Metadata ROI 40

Cloudera

DECEMBER 3, 2021

This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. Bias should be identified and either reduced or eliminated from data sets when possible. Uncertainty is a measure of our confidence in the predictions made by a system. System Design.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102

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. To compute the sales performance metrics, DAX expressions are needed to aggregate the sales data based on different criteria.

Sales 97

Sales Data Governance Reporting Optimization 97

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. A data hub contains data at multiple levels of granularity and is often not integrated.

Analytics 96

Analytics Data Warehouse Data Lake Metadata 96

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40