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

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. But at Juice, we’re all about building data products. The key is to balance offense and defense.” Balance is fine.

IT 69

IT Snapshot Consulting Data Strategy 69

Cloudera

JANUARY 27, 2022

I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon customer opt-in. I recently attended one of Majesco’s excellent webinars hosted by Denise Garth, Chief Strategy Officer. Putting Data to New Use .

Insurance 85

Insurance IoT Risk Data Processing 85

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 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

Cloudera

JULY 29, 2022

Some even have too much data, so much so that the insights are obscured by the sheer volume and speed of the data coming in. All successful organizations have business strategies in place that help them achieve their objectives. The proof is in the pudding.

Data Architecture 88

Data Architecture Data Strategy Risk Management Strategy 88

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 91

Machine Learning IoT Risk Digital Transformation 91

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 Digital Transformation Business Objectives Data-driven 104

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

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 Strategy Sales 52

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

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. What is a Data Governance Strategy?

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

CIO Business Intelligence

APRIL 6, 2022

By George Trujillo, Principal Data Strategist, DataStax. I’ve been a data practitioner responsible for the delivery of data management strategies in financial services, online retail, and just about everything in between. But established execution patterns help the operating model, strategy, and vision stay on track.

Cost-Benefit 135

Cost-Benefit Digital Transformation Data-driven Strategy 135

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. and “What data can be migrated to the cloud?”

Data Governance 52

Data Governance Risk Insurance Strategy 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