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 98

Data Quality Strategy Business Objectives Sales 98

CIO Business Intelligence

DECEMBER 22, 2023

Skills: Relevant skills for a DevOps engineer include automation, Linux, QA testing, security, containerization, and knowledge of programming languages such as Java and Ruby. Role growth: 18% of businesses have added data architect roles as part of their cloud investments.

Consulting 130

Consulting Business Objectives Software Optimization 130

CIO Business Intelligence

AUGUST 20, 2024

We’re now entering a new gen AI era, which is already impacting how we staff teams, their business objectives, and the tools they use to deliver innovations. But most enterprises can’t operate like young startups with complete autonomy handed over to devops and data science teams.

IT 141

IT Digital Transformation Experimentation Risk 141

AWS Big Data

JUNE 25, 2024

Cost-effective: Reduces data transfer pipeline and storage costs associated with traditional data integration methods. Enhanced security: Data remains in its original secure environment, reducing exposure risks. Streamlined compliance: Simplifies data governance by maintaining data in its original, regulated environment.

Data Lake 121

Data Lake Cost-Benefit Data-driven Data Warehouse 121

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

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 98

Modeling Insurance IT Cost-Benefit 98

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. Prerequisites include earning Salesforce Application Architect certification (see above).

B2B 87

B2B Consulting Sales Cost-Benefit 87

Ontotext

MAY 16, 2024

The opportunities exist when you gain the trust across stakeholders that there is a path to ensure that data is true to original intent, defined at a granular level and in a format that is traceable, testable, and flexible to use. One of the critical components is the user experience and data extraction capabilities.

Enterprise 52

Enterprise Data-driven Cost-Benefit Business Objectives 52

AWS Big Data

AUGUST 5, 2024

Customers often face challenges in locating and accessing the fragmented data they need, expending time and resources in the process. This makes access governance and data utilization more efficient, ensuring alignment with business goals and easy accessibility for its intended use.

Metadata 58

Metadata Sales Data Lake Publishing 58

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Some of the best lessons are captured in Ron Kohavi, Diane Tang, and Ya Xu’s book: Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing.

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 16, 2025

The enterprise architects wide range of concerns An enterprise architects work extends beyond just designing systems; it involves addressing various concerns and trade-offs that span the IT landscape, technology stack, business objectives and operational needs.

Enterprise 124

Enterprise Strategy Risk Business Objectives 124

DataKitchen

NOVEMBER 27, 2024

One of the most significant is the difficulty of defining and maintaining the alignment between data quality metrics and business goals. Business objectives often evolve due to market dynamics, organizational restructuring, or technological changes, requiring dashboards to be continuously updated to stay relevant.

Data Quality 216

Data Quality Dashboards Metrics Cost-Benefit 216

CIO Business Intelligence

MARCH 17, 2025

Develop an AI roadmap that documents the value proposition aligned to mission, as well as when, who, and how capabilities will be developed, tested, deployed, and sustained, he says. While he was commenting about federal government agencies, the advice can apply to any organization. Take a phased approach, MITRE Labs Robbins says.

Measurement 129

Measurement Strategy Risk ROI 129

CIO Business Intelligence

MAY 16, 2025

Some examples of this would be establishing clear procedures for data validation, model testing, and performance monitoring; creating a version control system for AI models, and logging all changes made to those models; and implementing a system for periodic model retraining, to ensure that the model stays relevant.

Risk 89

Risk Data-driven Modeling Enterprise 89

AWS Big Data

MARCH 13, 2025

Open source Pinot requires in-house expertise that can challenge well-established technical teams to provision hardware, configure environments, tune performance, maintain security, adhere to data governance requirements, manage software updates, and constantly monitor for system issues.

Management 105

Management Analytics OLAP Online Analytical Processing 105

CIO Business Intelligence

APRIL 1, 2025

In (clean) data we trust While data is invaluable, all data is not created equal. Error-filled, incomplete or junk data can make costly analytics efforts unusable for organizations. Ravinder Arora elucidates the process to render data legible.

Data-driven 59

Data-driven Data Quality Data Governance Business Objectives 59

Ontotext

AUGUST 21, 2024

The opportunities exist when you gain the trust across stakeholders that there is a path to ensure that data is true to original intent, defined at a granular level and in a format that is traceable, testable, and flexible to use.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 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 Gap analysis Risk Management Strategy 72