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 57

Data Strategy Strategy Business Objectives Data-driven 57

IBM Big Data Hub

DECEMBER 14, 2023

While the need for reliable, resilient, recoverable and corruption-free data governance has long been achieved by a backup and recovery routine, more modern techniques have been developed to support proactive measures that protect against threats before they occur.

Risk 84

Risk Measurement Business Objectives Optimization 84

CIO Business Intelligence

DECEMBER 22, 2023

For security architects working in a cloud environment, the focus is on designing and implementing security solutions that protect the business’ cloud-based infrastructure, data, and applications. Role growth: 18% of businesses have added data architect roles as part of their cloud investments.

Consulting 126

Consulting Software Business Objectives Optimization 126

CIO Business Intelligence

MARCH 8, 2023

“Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

Manufacturing 86

Manufacturing Business Objectives Cost-Benefit Optimization 86

Octopai

JULY 11, 2022

How are you, as a data quality evangelist (if you’re reading this post, that must describe you at least somewhat, right?), going to convince top-level management that adopting a data quality strategy pays big dividends? Tie data quality directly to business objectives. Better data quality?

Data Quality 79

Data Quality Strategy Business Objectives Sales 79

CIO Business Intelligence

AUGUST 5, 2022

“Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

IT 94

IT Manufacturing Business Objectives Cost-Benefit 94

Jen Stirrup

OCTOBER 28, 2019

They also need to consider their ROI over their data; their Risk of Incarceration (thank you to Karen Lopez for that one!). It is part of a wider strategy known as data governance. What is data governance, anyway? Even the blockchain is data. People need to be educated about ownership of data.

IT 85

IT Business Intelligence Data Governance ROI 85

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. It embraces the reality of business and specialized data needs within teams and organizations.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

Cloudera

SEPTEMBER 19, 2023

CDO inspires the data team To succeed, leaders need to inspire their teams to be passionate, productive, and willing to work with other stakeholders toward common goals. Leaderless and uninspired data teams are likely to feel misunderstood and such organization-wide efforts as data governance can be hard to implement.

IT 76

IT Data Strategy ROI Data-driven 76

TDAN

MARCH 16, 2021

No matter where data comes from, becoming data-driven depends on every member of your organization being able to find, access, and use the data they need.

Business Objectives 87

Business Objectives Data-driven IT Metadata 87

IBM Big Data Hub

JANUARY 5, 2023

Meaning, data architecture is a foundational element of your business strategy for higher data quality. Perform data quality monitoring based on pre-configured rules. A data strategy can help data architects create and implement a data architecture that improves data quality.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 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

Cloudera

FEBRUARY 23, 2022

AI is nothing without data: how do we address problems of data governance, data silos, and enterprise data policy? How do we make sure that as AI proliferates, enterprise data policy is being enforced across data domains? How do we combine the challenges of network and IT clouds?

Data-driven 91

Data-driven Advertising IoT Digital Transformation 91

CIO Business Intelligence

MAY 3, 2022

I would rather have a few focused areas that are impactful for the business, where we can significantly make improvement, rather than hundreds of areas and barely make progress. By focusing on a few areas that are aligned to our business objectives, we get wins for the company, our customers, and our people.

Data Quality 81

Data Quality Machine Learning Business Objectives Business Intelligence 81

Alation

MAY 12, 2022

Whether you have a traditional assembly line or employ the most cutting-edge technology, your most valuable resource is data. Data governance is the foundation on which manufacturers ensure the effective use of valuable data by giving you the ability to handle, manage, and secure your data. Here’s how.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Pillar 5: Data governance Establishing the right governance that balances control and access gives users trust and confidence in data.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

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

NOVEMBER 17, 2022

Becoming data-driven requires that people understand what data-driven means, and that the right people are in place to govern, maintain, and analyse the data. So, let’s start at the beginning of this journey and establish step by step what it means to be truly data-driven. First, what are your business objectives?

Data-driven 52

Data-driven Cost-Benefit Business Objectives Technology 52

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 68

Analytics Data Warehouse Data Lake Metadata 68

Alation

MAY 23, 2023

For leaders tasked with rolling out a new data governance program, getting started can feel like a daunting task. For one financial services organization, getting started took identifying key capabilities of their future data platform, tying those capabilities to business value, and working closely with the implementation team.

Business Objectives 52

Business Objectives Enterprise Data Governance Sales 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

Paul Blogs on BI

NOVEMBER 13, 2023

As organizations look to design and create new data warehouses, lakes and even lake houses in the cloud and populate them with data from a combination of legacy on-premise data warehouses , new cloud applications and existing on-premise applications, they quickly realize this is a huge undertaking.

Data Strategy 52

Data Strategy Strategy Gap analysis Data Warehouse 52

Cloudera

JANUARY 27, 2022

Virginia’s Consumer Data Protection Act (CDPA) is similar, but not exactly the same as California’s Consumer Privacy Act (CCPA). When they opt in to sharing their data, individuals are already realizing the value of this connected digital world. Putting Data to New Use . For example, in the U.S.,

Insurance 83

Insurance IoT Risk Data Processing 83

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 133

Data Strategy Strategy Sales Data Governance 133

CIO Business Intelligence

MARCH 7, 2023

Align data science and data governance programs Remember when infosec was brought in at the end of the application development process and had little time and opportunity to address issues? Here are some force-multiplying differences achievable by agile data teams: Want that dashboard, then update the data catalog.

Digital Transformation 145

Digital Transformation Data Governance Experimentation Machine Learning 145

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 362

Marketing Experimentation Metrics Testing 362

Anmut

MARCH 24, 2022

The use cases and customer outcomes your data supports and the quantifiable value your data creates for the business. How does defining data landscape in this way help your organisation? In the next section, we’ll discuss more about why your data landscape is so vital to your company’s success.

ROI 52

ROI Measurement Data-driven Data Transformation 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 65

Consulting B2B Cost-Benefit Sales 65

BizAcuity

APRIL 1, 2023

Business Intelligence (BI) encompasses a wide variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, process it and deliver it to business users in a format that is easy to understand and provides the context needed for informed decision making.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Business Intelligence (BI) encompasses a wide variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, process it and deliver it to business users in a format that is easy to understand and provides the context needed for informed decision making.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

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

SEPTEMBER 20, 2023

We internally analyzed the improvements we had to provide and, together with the CIOs in all the countries where Mapfre operates, we defined a very solid strategy that aligns with the business objectives, and we’re implementing that now. This change in platform also entails a data governance model and operational changes.

Modeling 97

Modeling Insurance IT Cost-Benefit 97

Cloudera

JULY 29, 2022

As my colleague Wim Stoop previously shared, “A well-planned enterprise data strategy helps companies get the most of their data, making it known, discoverable, available, trusted, and compliant. Currently, 94% of APAC FSI senior business decision makers see the value of secure, centralized governance over the entire data lifecycle. .

Data Architecture 85

Data Architecture Data Strategy Risk Management Strategy 85

IBM Big Data Hub

OCTOBER 20, 2023

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. These factors are also important in identifying the AI platform that can be most effectively integrated to align with your business objectives.

Machine Learning 77

Machine Learning Manufacturing Cost-Benefit Deep Learning 77

datapine

DECEMBER 11, 2019

Business value: Software is designed to meet industry requirements; therefore, it provides a higher degree of business value for company operations and performance.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

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

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 Consulting 52