Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. Data governance requires a system.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

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. Artificial Intelligence, Data Governance, Generative AI, IBM

Risk 114

Risk Machine Learning Modeling Enterprise 114

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT.

IT 134

IT Risk Cost-Benefit Risk Management 134

CIO Business Intelligence

APRIL 1, 2024

Deloitte 2 meanwhile found that 41% of business and technology leaders said a lack of talent, governance, and risks are barriers to broader GenAI adoption. Capturing the “as-is” state of your environment, you’ll develop topology diagrams and document information on your technical systems. Assess your readiness.

Data Lake 130

Data Lake Consulting Uncertainty Risk 130

CIO Business Intelligence

DECEMBER 19, 2023

In considering next year’s priorities, the following initiatives are good bets to be transformational for many organizations, in large part by helping CIOs close execution gaps while delivering ongoing business impacts. These workstreams require documenting a vision, assigning leaders, and empowering teams to experiment.

Digital Transformation 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

CIO Business Intelligence

DECEMBER 7, 2023

Over the last year, generative AI—a form of artificial intelligence that can compose original text, images, computer code, and other content—has gone from experimental curiosity to a tech revolution that could be one of the biggest business disruptors of our generation.

Insurance 66

Insurance Experimentation Finance Data Governance 66

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

IBM Big Data Hub

OCTOBER 12, 2023

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management. And that makes sense.

Cost-Benefit 79

Cost-Benefit Metadata Data Governance Modeling 79

erwin

JANUARY 17, 2020

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

CIO Business Intelligence

SEPTEMBER 21, 2022

CMOs need to look for ways to leverage customer data to deliver superior and highly tailored experiences to customers. CIOs need to ensure that the business’ use of data is compliant, secure, and done according to best practices. They need to assure the board that the risk from data is minimised.

Risk 93

Risk Data Lake Marketing Interactive 93

CIO Business Intelligence

OCTOBER 24, 2023

Alternatively, they can accelerate transformation by prioritizing force-multiplying initiatives such as aligning data science and data governance programs or improving IT operations with AIops capabilities. Still, certain issues surface time and time again to trouble business outcomes regardless of the strategic objectives.

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

erwin

SEPTEMBER 25, 2020

Understanding the benefits of data modeling is more important than ever. Data modeling is the process of creating a data model to communicate data requirements, documenting data structures and entity types. Reduce risks and costs. It has many benefits. Successfully design and implement databases.

Modeling 111

Modeling Cost-Benefit Visualization Metadata 111

erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). This also diminishes the value of data as an asset.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

CIO Business Intelligence

DECEMBER 11, 2023

Research is under way to correct biases, using synthetic data to address attributes such as gender, race, and ethnicity, he says, “but there will always be a need for a human-centric lens to be applied.” This team establishes the company’s risk tolerance, acceptable use cases and restrictions, and applicable disclosures.

Modeling 130

Modeling Risk Strategy Software 130

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. Is it sensitive or are there any risks associated with it?

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.

Metadata 52

Metadata Management Data Governance Machine Learning 52

erwin

APRIL 27, 2022

Best Data Governance Solution (erwin Data Intelligence). Best Data Modeling Solution (erwin Data Modeler). Best Data Security Solution (Quest ApexSQL). Best Data Governance Solution (erwin Data Intelligence). Best Data Governance Solution (erwin Data Intelligence).

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

CIO Business Intelligence

FEBRUARY 7, 2024

With more APIs, additional effort is required to maintain design consistency and reduce scalability and end-user experience concerns — not to mention the added security risks stemming from a widened surface area. “It Besides technical considerations, however, there are unique business implications to consider, adds Bizagi’s Vázquez.

Business Objectives 123

Business Objectives Cost-Benefit Strategy Data-driven 123

CIO Business Intelligence

NOVEMBER 9, 2022

But experienced data analysts and data scientists can be expensive and difficult to find and retain. Self-service analytics typically involves tools that are easy to use and have basic data analytics capabilities. “It Have a data governance plan as well to validate and keep the metrics clean.

Analytics 136

Analytics Slice and Dice Metrics Sales 136

CIO Business Intelligence

AUGUST 1, 2023

As many CIOs prepare their 2024 budgets and digital transformation priorities, developing a strategy that seeks opportunities to evolve business models, targets near-term operational impacts, prioritizes where employees should experiment, and defines AI-related risk-mitigating plans is imperative.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

CIO Business Intelligence

MAY 10, 2023

Access to artificial intelligence ( AI ) and the drive for adoption by organizations is more prevalent now than it’s ever been, yet many companies are struggling with how to manage data and the overall process. The concept of AI model training relies on clean data which can be enforced through governance of the underlying data set.

Metadata 98

Metadata Data Governance Modeling Technology 98

datapine

SEPTEMBER 29, 2022

Therefore, there are several roles that need to be filled, including: DQM Program Manager: The program manager role should be filled by a high-level leader who accepts the responsibility of general oversight for business intelligence initiatives. The program manager should lead the vision for quality data and ROI.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

JUNE 21, 2023

But we sat down and fed it contracts and asked it nuanced questions about them: where are the liabilities, where are the risks,” he says. These models will be customized for specific business use cases and maintained by vendors who already know how to manage privacy and risk. This will be a use case all over the world.”

Cost-Benefit 102

Cost-Benefit Modeling Risk Enterprise 102

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

AWS Big Data

JULY 25, 2023

Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads, and you pay only for what you use. Solution overview The integration of Talend with Amazon Redshift adds new features and capabilities.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

Alation

OCTOBER 12, 2021

Like many, the team at Cbus wanted to use data to more effectively drive the business. “Finding the right data was a real challenge,” recalls John Gilbert, Data Governance Manager. We might have found some data but what does it mean? The third challenge was around trusting the data.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. Is it sensitive or are there any risks associated with it?

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Octopai

DECEMBER 10, 2019

Well, scoot over Templeton, because it’s also going to be the year of the Automated Business Glossary for business intelligence and data governance teams everywhere. One of the best ways to solve this issue is to create a business glossary.

Metadata 53

Metadata Data Warehouse Reporting Business Intelligence 53

CIO Business Intelligence

AUGUST 16, 2023

But Databricks isn’t the only data platform with its own LLM. John Carey, MD of the technology solutions group at global consulting firm AArete, uses Document AI, a new model now in early release from Snowflake that allows people to ask questions about unstructured documents. You’re directly obligated to protect their privacy.”

Modeling 95

Modeling Enterprise Cost-Benefit Data Science 95

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 81

Management Risk Measurement Optimization 81

IBM Big Data Hub

OCTOBER 20, 2023

AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. Gaining an understanding of available AI tools and their capabilities can assist you in making informed decisions when selecting a platform that aligns with your business objectives. trillion in value.

Machine Learning 75

Machine Learning Manufacturing Cost-Benefit Deep Learning 75

CIO Business Intelligence

MARCH 8, 2023

But while opportunities to use AI are very real – and ChatGPT’s democratisation is accelerating generative AI test-and-learn faster than QR code adoption during the Covid pandemic – the utopia of substantial business wins through autonomous AI is a fair way off. What data governance, operational and ethical considerations must we factor in?

Enterprise 52

Enterprise Data Governance Data Strategy Testing 52

Jet Global

FEBRUARY 23, 2024

Because ETL tools allow the creation of reusable transformation logic, they’re able to automate the data transformation process, reducing the need for manual intervention and minimizing the risk of human error. Data warehouses can be complex, time-consuming, and expensive.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Octopai

SEPTEMBER 14, 2020

Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. A business glossary then informs both data discovery and data lineage.

Metadata 52

Metadata Management Data Processing Machine Learning 52

AWS Big Data

JANUARY 22, 2024

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87