erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today’s data modeling is not your father’s data modeling software. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

Data Governance 143

Data Governance IT Risk Data Lake 143

Octopai

JUNE 26, 2020

Steve, the Head of Business Intelligence at a leading insurance company, pushed back in his office chair and stood up, waving his fists at the screen. We’re dealing with data day in and day out, but if isn’t accurate then it’s all for nothing!” Enterprise data governance. Metadata in data governance.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

CIO Business Intelligence

MAY 17, 2022

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

Risk 140

Risk Consulting Machine Learning Data Science 140

erwin

JANUARY 24, 2019

Often these enterprises are heavily regulated, so they need a well-defined data integration model that helps avoid data discrepancies and removes barriers to enterprise business intelligence and other meaningful use. So without further ado, here are the five key benefits of an automation framework for data governance.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

TDAN

OCTOBER 17, 2023

Nonetheless, utilizing cloud computing carries potential risks that need to be addressed for sustainable […] Regardless of whether private, public, or hybrid cloud models are employed, the advantages of cloud computing are numerous, including heightened efficiency, reduced expenses, and increased flexibility.

Risk 52

Risk Management Modeling Data Architecture 52

Jen Stirrup

AUGUST 14, 2019

There can be seen very clearly in the sphere of business intelligence, where the business and IT need to work together to produce an essential component of the function of the organization: reporting, data and information flow. There are risks if the departments cannot work together.

Business Intelligence 96

Business Intelligence Finance IT Cost-Benefit 96

FineReport

APRIL 9, 2024

Benefits of Healthcare Business Intelligence Tools Improved Decision-Making: Healthcare BI tools enable informed decision-making by providing real-time data analysis and predictive insights. Healthcare data governance plays a pivotal role in ensuring the secure handling of patient data while complying with stringent regulations.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

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. There may be times when department-specific data needs and tools are required.

IT 129

IT Risk Cost-Benefit Risk Management 129

CIO Business Intelligence

JANUARY 24, 2024

At Vanguard, “data and analytics enable us to fulfill on our mission to provide investors with the best chance for investment success by enabling us to glean actionable insights to drive personalized client experiences, scale advice, optimize investment and business operations, and reduce risk,” Swann says.

Data Strategy 134

Data Strategy Strategy Unstructured Data Data Governance 134

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. It enables a centralized repository of information and provides real-time visibility into the entire business.

Key Performance Indicator 83

Key Performance Indicator Forecasting Data Integration Sales 83

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 per resource unit.

Risk 101

Risk Machine Learning Modeling Enterprise 101

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. Data preparation, including anonymizing, labeling, and normalizing data across sources, is key. Right-size your model(s). Choose a workload location.

Data Lake 121

Data Lake Consulting Uncertainty Risk 121

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 94

Strategy Data Architecture Cost-Benefit Reporting 94

CIO Business Intelligence

DECEMBER 19, 2023

Not surprisingly, nearly 50% of respondents identified data quality as the top challenge in realizing the potential of generative AI, which requires increasing the scope of dataops and data governance programs to include unstructured data sources and defining where to apply them in LLM experiments.

Digital Transformation 139

Digital Transformation Unstructured Data Machine Learning Risk Management 139

CIO Business Intelligence

MAY 10, 2023

We could do all that mapping and validation with you, but if the underlying data isn’t accurate, it has nothing to do with the mechanism which provides that. It’s about being transparent and educating your business in terms of what the expectation of the BI tool can deliver. It’s the clean-up effort. It’s a work in progress.

Data-driven 97

Data-driven IT Digital Transformation Data Governance 97

Jen Stirrup

AUGUST 14, 2019

There can be seen very clearly in the sphere of business intelligence, where the business and IT need to work together to produce an essential component of the function of the organization: reporting, data and information flow. There are risks if the departments cannot work together.

Business Intelligence 40

Business Intelligence Finance IT Cost-Benefit 40

O'Reilly on Data

FEBRUARY 11, 2019

There are many articles that point to the explosion of data, but in order for that data that be useful for analytics and ML, it has to be collected, transported, cleaned, stored, and combined with other data sources. Data Platforms. Data Integration and Data Pipelines. Manage the Risks of ML - In Practice”.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

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

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

AUGUST 24, 2023

While AI has steadily worked its way into the enterprise and business vernacular over many years, gen AI has not only become an abrupt and immediate force unto itself, but also an overarching AI accelerant. We’re getting bombarded with questions and inquiries from clients and potential clients about the risks of AI.”

Uncertainty 96

Uncertainty Risk Testing Enterprise 96

CIO Business Intelligence

NOVEMBER 15, 2022

Mainframes are still the backbone of many organizations Mainframes have been the backbone of IT infrastructure for mission-critical companies for decades because of their resilience, security, and data governance.

Management 102

Management Data Governance Digital Transformation Risk 102

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

APRIL 19, 2023

Moving data into a cloud-based environment enables faster data sharing, improves workflows, and can ease workloads on mainframe systems and data centers. But moving critical infrastructure out of the data center is a process that is easier said than done. Enterprises store a vast amount of data.

Digital Transformation 84

Digital Transformation Data Governance Unstructured Data Risk 84

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 61

Insurance Experimentation Finance Data Governance 61

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 143

Digital Transformation Data-driven Business Objectives Strategy 143

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

MARCH 4, 2024

The human political element plays a significant role here as well, as local data owners push back on relinquishing control over domain-specific data assets to centralized data governance authorities. These domain data leaders often cite the diminishing returns and significant effort of central data team engagement.

Insurance 82

Insurance Strategy Data Governance Data Integration 82

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 133

Analytics Slice and Dice Metrics Sales 133

Alation

MARCH 8, 2022

They either can’t wait for someone else to find it or can’t explain exactly what they need, so they set off to search and dig and waste time looking for that data needle in the proverbial haystack. But they then risk using the wrong data, pulling others away from more important jobs, or making bad decisions based on bad data.

Analytics 52

Analytics Data Governance Data-driven Data Science 52

Jet Global

FEBRUARY 5, 2019

states that about 40 percent of enterprise data is either inaccurate, incomplete, or unavailable. This poor data quality translates into an average of $15 million per year in a ripple effect of financial loss, missed opportunities, and high-risk decision making. Because bad data is the reason behind poor analytics. .

Data Quality 69

Data Quality Data Warehouse Business Intelligence Data Governance 69

erwin

FEBRUARY 21, 2019

Data is the key to recognizing customers, personalizing experiences, making helpful recommendations, ensuring items are in stock, tracking deliveries and more. Digital Transformation in Retail – What’s the Risk? says retailers need to achieve a level of what he calls “data intelligence.”

Digital Transformation 69

Digital Transformation Risk Data Governance Sales 69

CIO Business Intelligence

SEPTEMBER 19, 2023

Interoperability embodies the ability of solution components to exchange and use data. Not only must the ability to integrate (pass data back and forth) exist, but data must be usable by the various components — and not onerously so! Interoperability risk occurs as each new component is added to the solution portfolio.

Risk 102

Risk Modeling Reporting Data Governance 102

David Menninger's Analyst Perspectives

MAY 7, 2020

He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends. He explores the relationship between data warehouses and data lakes and share some of Ventana Research’s findings on the subject.

Data Lake 283

Data Lake Data Warehouse Risk Marketing 283

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 95

Metadata Data Governance Modeling Technology 95

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. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

CIO Business Intelligence

MAY 17, 2023

Why it matters:  Data-driven business decisions must factor prominently in modernization efforts. The bottom line:  Don’t leave data behind. It’s helpful, then, to evaluate the data that’s consumed, stored, moved, and manipulated within the organization’s information technology.

Data-driven 87

Data-driven Strategy IT Insurance 87