O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 311

Data Quality Metadata Data Governance Publishing 311

Smart Data Collective

APRIL 29, 2020

As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. What is data management?

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Guan believes that having the ability to harness data is non-negotiable in today’s business environment.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CIO Business Intelligence

APRIL 17, 2024

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts. Informatica offers similar services via its Intelligent Data Management Cloud (IDMC) platform.

Cost-Benefit 128

Cost-Benefit B2B Marketing Enterprise 128

AWS Big Data

APRIL 4, 2024

Griffin is an open source data quality solution for big data, which supports both batch and streaming mode. In today’s data-driven landscape, where organizations deal with petabytes of data, the need for automated data validation frameworks has become increasingly critical. Choose Create stack.

Data Quality 62

Data Quality Data Lake Data Warehouse Data-driven 62

CIO Business Intelligence

FEBRUARY 20, 2023

Salesforce certification overview Salesforce certifications are based on a role-based scheme centered on six roles: Administrator, Architect, Consultant, Designer, Developer, and Marketer. Salesforce Administrator A Salesforce Certified Administrator manages and maintains an organization’s Salesforce CRM system.

Consulting 87

Consulting B2B Cost-Benefit Sales 87

CIO Business Intelligence

MARCH 18, 2024

We need to be ready to respond to our CEO to solve problems with AI,” says Srini Gudipati, CIO of Covanta, a company that specializes in sustainable materials management, including large-scale recycling. Our data team uses gen AI on Amazon cloud to explore sustainability metrics. AI tools rely on the data in use in these solutions.

Risk 133

Risk Cost-Benefit Data Processing Testing 133

CIO Business Intelligence

JANUARY 24, 2024

“Organizations often get services and applications up and running without having put stewardship in place,” says Marc Johnson, CISO and senior advisor at Impact Advisors, a healthcare management consulting firm. Creating data silos Denying business users access to information because of data silos has been a problem for years.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

JUNE 23, 2023

CIOs should prioritize an adaptable technology infrastructure that eliminates data silos, ensures security and governance, and embraces a unified horizontal platform for streamlined data management, reducing integration complexities, skilled workforce requirements, and costs. Data Center Management, IT Strategy

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

DataKitchen

APRIL 11, 2023

He drew from his twenty-five years of experience in business analytics, pharmaceutical brand launch strategy, and project management. He shared a story from a talk at a large consulting company in India, where he was asked who his competition was. This includes working on data quality testing and structuring data for easy access.

Data Analytics 130

Data Analytics Analytics Cost-Benefit Data Quality 130

Smarten

DECEMBER 3, 2023

Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’ ‘Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’ So, what does all this mean to your business?

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

IBM Big Data Hub

DECEMBER 20, 2023

This calls for the organization to also make important decisions regarding data, talent and technology: A well-crafted strategy will provide a clear plan for managing, analyzing and leveraging data for AI initiatives. Review the size and strength of the IT department, which will implement and manage AI systems.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

CIO Business Intelligence

APRIL 4, 2024

Everyone is running around trying to apply this technology that’s moving so fast, but without business outcomes, there’s no point to it,” says Redmond, CIO at power management systems manufacturer Eaton Corp. “We It’s a classic change management problem.” It compresses years of work into months — sometimes days, Rau says.

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

IBM Big Data Hub

JANUARY 25, 2024

Many managers in asset-intensive industries like energy, utilities or process manufacturing, perform a delicate high-wire act when managing inventory. Over time, inventory managers have tested different approaches to determine the best fit for their organizations. What’s at stake? Now, consider the just-in-case approach.

Optimization 73

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 73

Anmut

APRIL 6, 2023

Data is becoming an increasingly important driver of business success, and organisations are recognising the need to manage and leverage their data effectively. However, achieving a high level of data maturity can be a challenging journey. What are the Benefits of Doing a Data Maturity Assessment?

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Metadata Data Quality Data Governance 52

erwin

MARCH 8, 2019

GDPR) and to ensure peak business performance, organizations often bring consultants on board to help take stock of their data assets. This sort of data governance “stock check” is important but can be arduous without the right approach and technology. That’s where data governance comes in ….

Data Governance 65

Data Governance Metadata Data Warehouse Data Quality 65

Anmut

MARCH 22, 2023

Data maturity models are frameworks that help you understand how reliable, efficient, and effective your organisation is at managing data. These models place you on a maturity scale that is broken up into stages, often 1 to 5, and as your organisation improves its data management , you progress to the following stage.

Measurement 52

Measurement Modeling Data Quality Data Governance 52

O'Reilly on Data

OCTOBER 22, 2020

We do so out of genuine curiosity as well as professional necessity: Q is an ML/AI consultant, Chris is a product manager in the AI space, and Shane is an attorney. The opinions presented here are personal, do not reflect the view of our employers, and are not professional product, consulting, or legal advice. The questions.

Consulting 303

Consulting Risk Cost-Benefit Modeling 303

Cloudera

SEPTEMBER 1, 2021

To better identify fraud patterns, the company’s analysts needed a way to capture and analyze a greater volume of data. They turned to Cloudera Data Platform to improve not only fraud detection but also customer relationship management, network quality, and operational efficiency through machine learning and AI. .

Data-driven 101

Data-driven Data Quality Enterprise Digital Transformation 101

CIO Business Intelligence

JUNE 3, 2024

Working in the British public sector, he’d seen a digitalization program fail because of command-and-control management, where gains achieved by a highly centralized approach quickly unravelled when the civil servant at the helm moved on. It helped make the noise go away about the murky use of data by governments,” he says.

Digital Transformation 111

Digital Transformation Strategy Risk Publishing 111

CIO Business Intelligence

MAY 15, 2024

Companies can download the code, but then they need in-house expertise or hired consultants to make everything work. You can overwhelm the infrastructure with requests so the model won’t,” says Elena Sügis, senior data scientist and capability lead at Nortal, a global digital transformation consultancy.

Modeling 137

Modeling Risk Software Enterprise 137

Andrew White

MAY 4, 2020

So conventional wisdom (see second example below) was that you needed to focus heavily on a broad data quality program. The issue for this first example however is not data quality; it’s about the data. Governing the Least Amount of Data that Matters. The world of Data and Analytics Governance is depressing.

Uncertainty 90

Uncertainty Data Quality Consulting Predictive Modeling 90

FineReport

MARCH 24, 2024

Data Analyst Job Description Data analysts play a crucial role in extracting actionable insights from diverse data sources, aiding businesses in cost reduction and revenue growth. Utilizing standard methods, they collect, analyze, and interpret data to provide valuable business information.

Statistics 52

Statistics Data mining Visualization Reporting 52

Alation

OCTOBER 5, 2021

The main reasons that a company’s data strategy and governance protocols fail to deliver are somewhat universal, regardless of the industry sector. Without a doubt, no company can achieve lasting profitability and sustainable growth with a poorly constructed data governance methodology. Incomplete data. Lack of commitment.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

CIO Business Intelligence

JANUARY 4, 2023

A team of researchers from Lancaster University, along with sustainability consultancy Small World Consulting, published a 2021 report indicating that IT contributes to as much as 1.2% They are looking for data quality and accuracy to measure carbon footprint, supply chain optimization, and green revenue in real time.”

IT 131

IT Internet of Things Reporting Cost-Benefit 131

CIO Business Intelligence

MARCH 24, 2023

While the incentives for ESG are compelling, managing programs and demonstrating success are fraught with challenges. Overcoming data challenges Despite their growing commitment to ESG, financial firms have learned the path to sustainability and prosperity can be rocky. “ESG ESG data quality is the biggest challenge.

Risk Management 52

Risk Management Consulting Metrics Data Quality 52

Andrew White

OCTOBER 22, 2020

IT Sector (tech, consulting etc.) Topics : (broader/full) Data and Analytics Strategy 14. Data Management 3. Enterprise Information Management 2. Data Monetization 1. Role/Title (31): Business development manager 1. Chief Data Officer/CDO 4. Chief Quality Officer 1. Data Governance 1.

IT 52

IT Recreation/Entertainment Data Quality Data-driven 52

CIO Business Intelligence

MAY 20, 2022

National Grid is a big Microsoft Azure cloud customer due to its secure, proprietary nature, says Karaboutis, and is using a bevy of leading-edge tools, from Snowflake, Azure, and Matallion ETL for data tooling, Informatica for data quality, Reltio for master data management, and Blue Prism for RPA, to name a few.

IT 105

IT Digital Transformation Internet of Things Data Architecture 105

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

Andrew White

OCTOBER 23, 2020

IT Sector (tech, consulting etc.) Data Management 4. Enterprise Information Management 4. Data Monetization 1. Role/Title: Business development manager 1. Chief Data Officer/CDO 4. Chief Quality Officer 1. Developer Manager 1. EIM Manager 1. Manager IT 1. Manager D&A 1.

IT 52

IT Digital Transformation Recreation/Entertainment Data Quality 52

Octopai

JANUARY 31, 2021

We have identified the top ten sites, videos, or podcasts online that deal with data lineage. Our list of Top 10 Data Lineage Podcasts, Blogs, and Websites To Follow in 2021. Data Engineering Podcast. This podcast centers around data management and investigates a different aspect of this field each week.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

datapine

JANUARY 24, 2021

By asking the right questions, utilizing sales analytics software that will enable you to mine, manipulate and manage voluminous sets of data, generating insights will become much easier. Today, big data is about business disruption. .” – Capgemini and EMC² in their study Big & Fast Data: The Rise of Insight-Driven Business.

IT 317

IT Statistics KPI Data-driven 317

IBM Big Data Hub

NOVEMBER 24, 2023

The real problem lies in how the IT is organized, which reflects in how their current applications/services are built and managed (refer to Conway’s law ). It also requires some focused effort to improve the data quality of data needed for tuning the models.

Cost-Benefit 89

Cost-Benefit Testing Data-driven Enterprise 89

DataKitchen

DECEMBER 9, 2022

DataOps involves close collaboration between data scientists, IT professionals, and business stakeholders, and it often involves the use of automation and other technologies to streamline data-related tasks. One of the key benefits of DataOps is the ability to accelerate the development and deployment of data-driven solutions.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

O'Reilly on Data

OCTOBER 13, 2020

The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. One area that has received less attention is the role of an AI product manager after the product is deployed.

Management 252

Management Metrics Machine Learning Modeling 252