CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

Data Governance 142

Data Governance Management Metadata Data Quality 142

DataKitchen

AUGUST 3, 2021

DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . This post (1 of 5) is the beginning of a series that explores the benefits and challenges of implementing a data mesh and reviews lessons learned from a pharmaceutical industry data mesh example.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

IBM Big Data Hub

JULY 6, 2022

Businesses of all sizes, in all industries are facing a data quality problem. 73% of business executives are unhappy with data quality and 61% of organizations are unable to harness data to create a sustained competitive advantage 1. Data observability as part of a data fabric . Instead, Databand.ai

Metadata 57

Metadata Data Quality Snapshot Cost-Benefit 57

Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? Love thy data: data are never perfect, but all the data may produce value, though not immediately. The latter is essential for Generative AI implementations.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

erwin

JANUARY 30, 2020

The results of our new research show that organizations are still trying to master data governance, including adjusting their strategies to address changing priorities and overcoming challenges related to data discovery, preparation, quality and traceability. Top Five: Benefits of An Automation Framework for Data Governance.

Data Governance 145

Data Governance Metadata Digital Transformation Cost-Benefit 145

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business. defense budget.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

IBM Big Data Hub

APRIL 10, 2023

A well-designed data foundation can also be a game-changer when it comes to managing ESG (environmental, social, and governance) commitments. Fortunately, business benefits and ESG benefits are not mutually exclusive: sustainability efforts can help boost business value for organizations that are committed and effective in execution.

Strategy 94

Strategy Data Architecture Cost-Benefit Reporting 94

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

erwin

APRIL 16, 2021

Some business units benefit more from data governance than others, and some business units have to invest more energy and resources into the change than others.”. Data governance maturity includes the ability to rely on automated and repeatable processes, which ultimately helps to increase productivity. erwin Data Intelligence.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

Cloudera

AUGUST 31, 2021

Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis. Yet, these legacy solutions are showing their age and can no longer meet these new demands in a cost-effective manner. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics.

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

Alation

MARCH 22, 2022

As the latest iteration in this pursuit of high-quality data sharing, DataOps combines a range of disciplines. It synthesizes all we’ve learned about agile, data quality , and ETL/ELT. So, how can you quickly take advantage of the DataOps opportunity while avoiding the risk and costs of DIY?

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Consulting Enterprise 78

IBM Big Data Hub

MAY 9, 2022

Data privacy laws such as the GDPR in the EU, CCPA in California and PIPEDA in Canada have been enacted at the same time businesses are revitalizing efforts to establish data quality, not just data volume. The cost of ignoring these imperatives is staggering. Poor data quality costs organizations an average of $12.9

Management 57

Management Data Quality Metadata Data Integration 57

Cloudera

MARCH 22, 2023

Cloudera Data Platform (CDP) is no different: it’s a hybrid data platform that meets organizations’ needs to get to grips with complex data anywhere, turning it into actionable insight quickly and easily. And, crucial for a hybrid data platform, it does so across hybrid cloud. As observability evolves, so will CDP.

Metrics 84

Metrics Data Governance Cost-Benefit Dashboards 84

Alation

MAY 19, 2022

Establish what data you have. Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often. Conclusion.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

AWS Big Data

NOVEMBER 16, 2023

In the following sections, we discuss the most common areas of consideration that are critical for Data Vault implementations at scale: data protection, performance and elasticity, analytical functionality, cost and resource management, availability, and scalability.

Enterprise 82

Enterprise Data Warehouse Snapshot Cost-Benefit 82

BizAcuity

MARCH 29, 2019

Data can be stored as-is, without first structuring it, and different types of analytics can be run on it, from dashboards and visualizations to big data processing, real-time analytics, and machine learning to improve decision making. The power of the data lake lies in the fact that it often is a cost-effective way to store data.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

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. Addressing the Challenge.

Data Governance 145

Data Governance IT Risk Data Lake 145

CIO Business Intelligence

MARCH 29, 2022

Turns out, exercise equipment doesn’t provide many benefits when it goes unused. The same principle applies to getting value from data. Organizations may acquire a lot of data, but they aren’t getting much value from it. This type of data waste results in missing out on the second project advantage.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Ontotext

JANUARY 6, 2021

According to this article , it costs $54,500 for every kilogram you want into space. It has been suggested that their Falcon 9 rocket has lowered the cost per kilo to $2,720. That means removing errors, filling in missing information and harmonizing the various data sources so that there is consistency.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

DataRobot Blog

MAY 10, 2022

While this provides the opportunity to greatly improve the institution’s operating performance across different business functions, the additional model complexity comes at the cost of greatly increased model risk that the institution has to manage. To reference SR 11-7: .

Risk 64

Risk Modeling Machine Learning Data Quality 64

Ontotext

APRIL 21, 2021

Through rich metadata and automated reasoning , it is possible to express the complexity of assets and their relationships. The knowledge graph has the flexibility to change with business needs but can also provide multiple views and perspectives on the data without the waste of replicating data across business units.

Metadata 59

Metadata Finance Cost-Benefit Risk 59

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

Data Quality 68

Data Quality Data Integration Metadata Cost-Benefit 68

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Harvest data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

erwin

APRIL 11, 2019

Enriching business data elements for sensitive data discovery – By leveraging a comprehensive mechanism to define business data elements for PII, PHI and PCI across database systems, cloud and Big Data stores, you can easily identify sensitive data based on a set of algorithms and data patterns.

Insurance 100

Insurance Data-driven Data Governance Metadata 100

IBM Big Data Hub

JUNE 30, 2022

When it comes to getting a data strategy right, I like to apply some of the basic principles of a successful business model — scalability, cost-effectiveness and flexibility for change — and extend these concepts to technology, processes and organization.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

Alation

NOVEMBER 28, 2022

It’s impossible for data teams to assure the data quality of such spreadsheets and govern them all effectively. If unaddressed, this chaos can lead to data quality, compliance, and security issues. This can ultimately result in fines or suboptimal decisions that cost the company significantly in losses.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Ontotext

MARCH 18, 2020

To access this knowledge, enterprises need tools to help them integrate the data scattered across the organization. The third challenge is how to combine data management with analytics. In today’s business climate, data quality and governance are no longer enough.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Domino Data Lab

OCTOBER 1, 2020

Traditionally, this problem has been solved by either denying access to this data altogether (a not infrequent outcome), or creating and maintaining multiple copies of many datasets for each possible use case by omitting the data that a particular user is not allowed to see (e.g. PII, PHI, etc).

Enterprise 105

Enterprise Metadata Cost-Benefit Data Processing 105

Timo Elliott

JANUARY 5, 2022

Honestly, data is the closest thing to magic in the modern world. You can use data to improve customer outcomes and cut costs and even make the world a better place at the same time. Yves: I have the feeling that a lot of companies think that they can use their data to their benefit by hiring a data scientist.

Digital Transformation 115

Digital Transformation Machine Learning Enterprise Insurance 115

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

O'Reilly on Data

JULY 28, 2020

The Advertising team was more interested in cost per lead (CPL) and lifetime value (LTV), while the Strategy team was aligned to corporate metrics (revenue impact and total active users). Again, it’s important to listen to data scientists, data engineers, software developers, and design team members when deciding on the MVP.

Marketing 362

Marketing Experimentation Metrics Testing 362

Peter James Thomas

AUGUST 29, 2018

My role encompasses being the business driver for the data platform that we are rolling out across the organisation and its success in terms of the data going onto the platform and the curation of that data in a governed state, depending on the consumer requirements. Should I revisit my technology-agnostic stance?

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Ontotext

MAY 22, 2023

This is the case with the so-called intelligent data processing (IDP), which uses a previous generation of machine learning. LLMs do most of this better and with lower cost of customization. Master data management (MDM), on the other hand, is focused on ensuring data quality and consistency across different systems and applications.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

CIO Business Intelligence

FEBRUARY 2, 2024

The Art of Service says professionals with this certification can help businesses reduce operational costs by implementing an effective data management strategy. Organization: ICCP Price: The cost of certification varies based on the credentials sought, number of examinations taken, and study materials required.

Management 115

Management Data Governance Cost-Benefit Testing 115

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

Cost-Benefit 84

Cost-Benefit Metadata Optimization Management 84

IBM Big Data Hub

OCTOBER 12, 2023

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83