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

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 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

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. Most importantly, it helps organizations control costs and reduce risks, enforcing consistent security and governance across all enterprise data assets.”.

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

CIO Business Intelligence

APRIL 6, 2022

Setting up a pattern for this kind of real-time data flow within an organization helps everyone in the data ecosystem understand and support the real-time data direction that the organization must move in to meet business objectives. OSS drives a lot of technology innovation for business.

Cost-Benefit 135

Cost-Benefit Digital Transformation Data-driven Strategy 135

Juice Analytics

OCTOBER 1, 2018

Legendary analytics guru Thomas Davenport takes a more neutral stance in his Harvard Business Review article What’s your Data Strategy? But at Juice, we’re all about building data products. That’s an offensive data strategy (we’re with you Jack Dempsey, June Jones, Mike Leach, and Mike D’Antoni).

IT 84

IT Snapshot Data Strategy Consulting 84

Cloudera

SEPTEMBER 10, 2020

By offering everyone the same “data supermarket”, businesses eliminate the data silos that are slowing them down, ensuring integrity and accuracy in the data that is supporting their business objectives.

IT 104

IT Business Objectives Digital Transformation Data-driven 104

Cloudera

NOVEMBER 25, 2021

So, what are the common user cases we are seeing for enterprise data clouds? Protect: security needs including risk management, fraud detection and cybersecurity initiatives through risk modelling and analysis, regulatory compliance, and financial crime prevention. . The Power of Two. About the author: .

Machine Learning 90

Machine Learning IoT Risk Business Objectives 90

CIO Business Intelligence

APRIL 4, 2024

To keep up, Redmond formed a steering committee to identify opportunities based on business objectives, and whittled a long list of prospective projects down to about a dozen that range from inventory and supply chain management to sales forecasting. “We We don’t want to just go off to the next shiny object,” she says. “The

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

BI-Survey

FEBRUARY 17, 2020

Data and data management processes are everywhere in the organization so there is a growing need for a comprehensive view of business objects and data. It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Cloudera

JANUARY 27, 2022

Real-time access to phone location data can be used by travel insurers to create products that only become active when the phone (and hopefully the human attached to it) crosses country borders or travels beyond a specific distance. Data Ecosystems Surrounding Insurance. Putting Data to New Use . Always Mindful of Privacy.

Insurance 85

Insurance IoT Risk Data Processing 85

IBM Big Data Hub

DECEMBER 20, 2023

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. The AI strategy becomes the compass for meaningful contributions to the organization’s success.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

Cloudera

JANUARY 5, 2023

As more industries mature digitally and widely adopt AI and machine learning technologies, 2023 will be a pivotal year for organizations looking to deploy emerging tech solutions company-wide to fulfill business objectives. 1- Treating data as a strategic business asset .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Alation

DECEMBER 15, 2021

This uncovers actionable intelligence, maintains compliance with regulations, and mitigates risks. Let’s explore the key steps for building an effective data governance strategy. What is a Data Governance Strategy? At the same time, it enhances data security and compliance programs. Defensive vs Offensive.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Cloudera

SEPTEMBER 10, 2024

Translating AI’s Potential into Measurable Business Impact It can’t be denied that a mature enterprise data strategy generates better business outcomes in the form of revenue growth and cost savings. OCBC Bank ’s adoption of AI has effectively impacted revenue generation and better risk management.

Cost-Benefit 52

Cost-Benefit Data Architecture Metrics Measurement 52

Ontotext

SEPTEMBER 1, 2023

They run the risk of using trademarked, copyrighted, or protected data as they scour public data and can be easily exploited and manipulated to ignore previous instructions. Additionally, data is the fulcrum of AI, and the data used to train LLMs must be properly governed and controlled.

Risk 52

Risk Modeling Data Quality Data Governance 52

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Mitigate Security Risk. Define Business Objectives.

Data Governance 52

Data Governance Risk Insurance Business Objectives 52

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Data Migration. Privacy, Risk and Compliance. Let’s take a closer look at the role of DI in the use case of data governance.

Metadata 64

Metadata Data Governance Dashboards Software 64

Alation

MAY 12, 2022

technologies, manufacturers must deploy the right technologies and, most importantly, leverage the resulting data to make better, faster decisions. But without the right data practices in place you run the risk of misusing data and missing opportunities. What are the benefits of data governance in manufacturing?

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

AWS Big Data

AUGUST 1, 2024

Additionally, organizations must carefully consider factors such as cost implications, security and compliance requirements, change management processes, and the potential disruption to existing business operations during the migration. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

Alation

FEBRUARY 10, 2023

That really highlighted the fact that these cashiers probably didn’t know they were working with data. If they’d been asked, they would have said, “No, we don’t work with data within our roles.” Reflection: If you ignore “how the sausage is made,” you risk leveraging invalid insights — and making costly mistakes.

Data-driven 52

Data-driven Broadcasting Sales Strategy 52

CIO Business Intelligence

OCTOBER 24, 2023

Expecting developers on self-organizing agile teams, data scientists, and user experience specialists to have all the required knowledge and best practices can lead to material risks and implementation setbacks. Roadmaps give employees a sense of direction, an explanation of purpose, and convey strategic priorities.

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

Anmut

APRIL 14, 2025

Industries use established frameworks, like ISO 55000, to align asset management with organisational goals supporting risk-based decisions, continuous improvement, and value realisation from assets. Missing context, ambiguity in business requirements, and a lack of accessibility makes tackling data issues complex.

Uncertainty 52

Uncertainty Data Quality Business Objectives Measurement 52