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. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

CIO Business Intelligence

MAY 7, 2024

One possible definition of the CDO is the organization’s leader responsible for data governance and use, including data analysis , mining , and processing. In many cases, CDOs focus on business objectives, but in other cases, they have equal business and technology remits, according to the authors.

Data-driven 131

Data-driven Data Strategy Data Quality Data Governance 131

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

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

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

Paul Blogs on BI

NOVEMBER 13, 2023

I have a had a lot of conversations about data strategy this year. With both the rise in organizations looking to move their data to the cloud and the increasing awareness of the power of BI and generative AI, data strategy has become a top priority. This is where the infamous “How do you eat an elephant?”

Data Strategy 52

Data Strategy Strategy Gap analysis Data Warehouse 52

Cloudera

JULY 29, 2022

Similarly, data should be treated as a corporate asset with a dedicated long-term strategy that lets the organization store, manage, and utilize its data effectively. Currently, 94% of APAC FSI senior business decision makers see the value of secure, centralized governance over the entire data lifecycle. .

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

Cloudera

SEPTEMBER 19, 2023

Adding another position may not be terribly appealing, but there is one C-suite role every company should consider—chief data and analytics officer (CDO or CDAO). Data is the lifeblood of modern business, the fuel that powers digital transformation, and every company should have a data strategy.

IT 78

IT Data Strategy Data-driven ROI 78

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 95

Data-driven Advertising IoT Business Objectives 95

Cloudera

FEBRUARY 22, 2021

I have developed this framework to help organizations not only establish the business case for investing in CDP, but also provide a mechanism to prioritize analytical investments based on specific business objectives (e.g., reduce technology costs, accelerate organic growth initiatives). query failures, cost overruns).

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82

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. The AI strategy becomes the compass for meaningful contributions to the organization’s success.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

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. Practice proper data hygiene across interfaces. How to build a data architecture that improves data quality.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

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

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

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 85

Insurance IoT Risk Data Processing 85

Alation

FEBRUARY 10, 2022

Further, as emerging privacy laws mandate how data can be used, data classification helps you meet these requirements. With data classification, metadata tags are used to: Protect sensitive data. Identify data governed by GDPR &CCPA , HIPAA, PCI, SOX, and BCBS. Define Business Objectives.

Data Governance 52

Data Governance Risk Insurance Business Objectives 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

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

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

Anmut

APRIL 14, 2025

Clear Accountability : Assign ownership to data assets just as organisations have facility managers or equipment custodians. Investment Prioritisation : Align data quality initiatives with business objectives to ensure resources are allocated effectively.

Uncertainty 52

Uncertainty Data Quality Business Objectives Measurement 52

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 72

Risk Risk Management Gap analysis Strategy 72