IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

CIO Business Intelligence

MAY 7, 2024

That’s according to a recent report based on a survey of CDOs by AWS in conjunction with the Chief Data Officer and Information Quality (CDOIQ) Symposium. The CDO position first gained momentum around 2008, to ensure data quality and transparency to comply with regulations following the housing credit crisis of that era.

Data-driven 131

Data-driven Data Strategy Data Quality Data Governance 131

CIO Business Intelligence

NOVEMBER 2, 2023

But the enthusiasm must be tempered by the need to put data management and data governance in place. The Salesforce report found that 87% of technical leaders say that advances in AI make data management a higher priority and 92% say that trustworthy data is needed more than ever before.

Data Strategy 137

Data Strategy Strategy Sales Data Governance 137

Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.

Data Governance 52

Data Governance Data-driven Data Processing Metrics 52

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

datapine

FEBRUARY 22, 2022

While privacy and security are tight to each other, there are other ways in which data can be misused and you need to make sure you are carefully considering this when building your strategies. For this purpose, you can think about a data governance strategy. Clean data in, clean analytics out. It’s that simple.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. Data siloes, of course, are the enemies of data governance.

Modeling 98

Modeling Metadata Data Governance Visualization 98

CIO Business Intelligence

MAY 30, 2024

Talk to us about how leaders should be thinking about the role of data quality in terms of their AI deployments. Data quality is the cornerstone of effective AI deployment. Leaders must prioritize investments in data quality and governance. Leaders should view data quality as a strategic asset.

Data Quality 104

Data Quality Key Performance Indicator Digital Transformation Management 104

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. A data hub contains data at multiple levels of granularity and is often not integrated.

Analytics 90

Analytics Data Warehouse Data Lake Metadata 90

Ontotext

FEBRUARY 12, 2024

This is especially beneficial when teams need to increase data product velocity with trust and data quality, reduce communication costs, and help data solutions align with business objectives. In most enterprises, data is needed and produced by many business units but owned and trusted by no one.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 87

Data Strategy Strategy Data Warehouse Prescriptive Analytics 87

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. This requires a deep understanding of the organization’s strengths and weaknesses.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

IBM Big Data Hub

DECEMBER 20, 2023

Read more about IBM’s AI Ethics governance framework Benefits of a successful AI strategy Building an AI strategy offers many benefits to organizations venturing into artificial intelligence integration. An AI strategy allows organizations to purposefully harness AI capabilities and align AI initiatives with overall business objectives.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

Metadata 64

Metadata Data Governance Dashboards Software 64

BizAcuity

APRIL 1, 2023

However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization. Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization. Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Ontotext

SEPTEMBER 1, 2023

LLMs can even take tone and style into account where responses can be modified by incorporating personas such as asking ChatGPT (powered by an LLM) to explain the concept of data governance through a Taylor Swift style lyric. For example, if input training data is of bad quality, the results from AI algorithms will be substandard too.

Risk 52

Risk Modeling Data Quality Data Governance 52

Alation

MARCH 14, 2023

It should make data available, maintain data consistency and accuracy, and support data security. Gartner describes it as ‘ a highly dynamic process employed to support the acquisition, organisation, analysis, and delivery of data in support of business objectives ’. Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

FineReport

APRIL 9, 2024

Implementing BI Tools Successfully Best Practices for BI Tool Implementation Deploying business intelligence tools successfully involves adhering to best practices that align the software with business objectives and user needs.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Ontotext

MAY 16, 2024

For companies who are ready to make the leap from being applications-centric to data-centric – and for companies that have successfully deployed single-purpose graphs in business silos – the CoE can become the foundation for ensuring data quality, interoperability and reusability.

Enterprise 52

Enterprise Data-driven Cost-Benefit Business Objectives 52

CIO Business Intelligence

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance.

Consulting 87

Consulting B2B Sales Cost-Benefit 87

O'Reilly on Data

JULY 28, 2020

Internally, AI PMs must engage stakeholders to ensure alignment with the most important decision-makers and top-line business metrics. Put simply, no AI product will be successful if it never launches, and no AI product will launch unless the project is sponsored, funded, and connected to important business objectives.

Marketing 364

Marketing Experimentation Metrics Testing 364

CIO Business Intelligence

OCTOBER 2, 2024

An AI policy serves as a framework to ensure that AI systems align with ethical standards, legal requirements and business objectives. While this leads to efficiency, it also raises questions about transparency and data usage. Data governance Strong data governance is the foundation of any successful AI strategy.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

CIO Business Intelligence

APRIL 29, 2025

Rather than a knight in shining armour, the DPO should be viewed as a strategic risk manager and business enabler. Effective DPOs will balance compliance requirements with business objectives, facilitating responsible data innovation rather than simply implementing restrictions.

Risk 52

Risk Gap analysis Risk Management Strategy 52

DataKitchen

NOVEMBER 27, 2024

A Guide to the Six Types of Data Quality Dashboards Poor-quality data can derail operations, misguide strategies, and erode the trust of both customers and stakeholders. However, not all data quality dashboards are created equal. These dimensions provide a best practice grouping for assessing data quality.

Data Quality 215

Data Quality Dashboards Metrics Cost-Benefit 215

CIO Business Intelligence

APRIL 1, 2025

Error-filled, incomplete or junk data can make costly analytics efforts unusable for organizations. Ravinder Arora elucidates the process to render data legible. Our data governance frameworks define clear standards for data quality, accuracy, and relevance to collect usable data that drives meaningful insights.

Data-driven 59

Data-driven Data Quality Data Governance Business Objectives 59

CIO Business Intelligence

MARCH 17, 2025

Without solid data foundations, AI adoption becomes nearly impossible, Genpacts Menon says. A recent Genpact and HFS Research survey of 550 senior executives shows that 42%think a lack of data quality or strategy is the biggest barrier to AI adoption. Poor data hygiene undermines AI success, Menon says.

Measurement 129

Measurement Strategy Risk ROI 129

Anmut

APRIL 14, 2025

Missing context, ambiguity in business requirements, and a lack of accessibility makes tackling data issues complex. Resolution Uncertainty : Even if businesses allocate resources to data quality improvements, without clear diagnostics, they risk investing in the wrong fixes.

Uncertainty 52

Uncertainty Data Quality Business Objectives Measurement 52

AWS Big Data

OCTOBER 24, 2024

Industry use cases The following are example industry use cases where Immuta and Amazon Redshift integration adds value to customer business objectives. Patient records management In the healthcare and life sciences (HCLS) industry, efficient access to quality data is mission critical.

Data Warehouse 107

Data Warehouse Business Objectives Data-driven Management 107

Ontotext

AUGUST 21, 2024

Benefit of a Graph CoE For companies that are ready to make the leap from being applications centric to data centric—and for companies that have successfully deployed graphs in business silos—the CoE becomes the foundation for ensuring data quality and reusability across the organization.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52