TDAN

SEPTEMBER 18, 2024

As organizations rush headlong into digital transformation initiatives, a critical factor often gets overlooked: data quality.

Digital Transformation 52

Digital Transformation Data Quality Technology Data Governance 52

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

Jen Stirrup

NOVEMBER 15, 2022

However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. How can systems thinking and data science solve digital transformation problems? How is it possible to enable data-driven decisions in a systems thinking approach?

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

Anmut

APRIL 6, 2021

Enterprise digital transformation and data. Most organisations undergoing a digital transformation understand that data is critical, but how many are actually managing data as an asset ? Your data isn’t fit for purpose. Your digital transformation initiatives fail. The result?

Digital Transformation 52

Digital Transformation Enterprise Data Quality Data-driven 52

CIO Business Intelligence

OCTOBER 23, 2024

But because of the infrastructure, employees spent hours on manual data analysis and spreadsheet jockeying. We had plenty of reporting, but very little data insight, and no real semblance of a data strategy. This legacy situation gave us two challenges.

Enterprise 119

Enterprise Dashboards KPI Data Lake 119

CIO Business Intelligence

MAY 7, 2024

That’s according to a recent report based on a survey of CDOs by AWS in conjunction with the Chief Data Officer and Information Quality (CDOIQ) Symposium. The CDO position first gained momentum around 2008, to ensure data quality and transparency to comply with regulations following the housing credit crisis of that era.

Data Strategy 131

Data Strategy Data-driven Data Quality Data Governance 131

CIO Business Intelligence

MARCH 27, 2023

They’re spending a lot of time on things like data quality, data management, things that might be tactical, helping with operational aspects of IT. The composer creates and sells the storyline of the value of data and analytics. To get there, though, Medeiros says CDAOs must prioritize strategy over tactics.

Data-driven 145

Data-driven Data Quality Strategy Reporting 145

CIO Business Intelligence

MARCH 31, 2022

Chief data officer job description. The CDO oversees a range of data-related functions that may include data management, ensuring data quality, and creating data strategy. They may also be responsible for data analytics and business intelligence — the process of drawing valuable insights from data.

Consulting 134

Consulting Data Strategy Data Governance Strategy 134

CIO Business Intelligence

APRIL 6, 2022

Lower total cost of ownership, scalable unit economics, multi-region reliability, digital transformation, faster delivery of applications, and machine learning models—these are all business benefits of cloud-native adoption. . Reducing barriers to data access and complexity facilitates innovation with data. Wrapping up.

Cost-Benefit 135

Cost-Benefit Digital Transformation Data-driven Strategy 135

CIO Business Intelligence

APRIL 29, 2022

Data-first leaders are: 11x more likely to beat revenue goals by more than 10 percent. 5x more likely to be highly resilient in terms of data loss. 4x more likely to have high job satisfaction among both developers and data scientists. Create a CXO-driven data strategy. Contact HPE to learn more. __.

Digital Transformation 132

Digital Transformation Data-driven Strategy Data Strategy 132

CIO Business Intelligence

JANUARY 22, 2024

Key elements of this foundation are data strategy, data governance, and data engineering. A healthcare payer or provider must establish a data strategy to define its vision, goals, and roadmap for the organization to manage its data. This is the overarching guidance that drives digital transformation.

Unstructured Data 98

Unstructured Data Digital Transformation Data Strategy Modeling 98

BI-Survey

DECEMBER 22, 2020

Managers see data as relevant in the context of digitalization, but often think of data-related problems as minor details that have little strategic importance. Thus, it is taken for granted that companies should have a data strategy. But what is the scope of an effective strategy and who is affected by it?

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52

CIO Business Intelligence

FEBRUARY 16, 2023

“As the information layer gets mature, that’s where the ML and the AI will start seeing some green shoots,” he says, adding that although data transformation was a pressing need when he signed on in 2021, he wanted a more compelling vision to sell the board and business leaders on tackling it. The offensive side?

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

DataKitchen

JUNE 24, 2021

We needed to get the data from a centralized place into their hands so that they could get in the game of digital transformation.”. ” So I became focused on how to get data and analytic teams to be successful. Automate the data collection and cleansing process. Take a show-me approach.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

TDAN

JUNE 15, 2022

Not surprisingly, digital transformation is a prerequisite for forward-thinking businesses. Data, as always, is top of mind. The catastrophic disruption of the global pandemic did not slow down the need for systems, processes, and people who will help modern organizations move faster.

Digital Transformation 98

Digital Transformation Data Quality IT Data Governance 98

Cloudera

SEPTEMBER 6, 2022

But digital transformation programs are accelerating, services innovation around 5G is continuing apace, and results to the stock market have been robust. . If you’re working in a telco today, what’s your digital strategy to tackle these challenges? The challenges. Read their stories and more on cloudera.com/telco. .

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

Alation

JULY 15, 2022

I raised the Cambridge Analytica Scandal and pointed out how it is often only when these stories hit the news that people question the ethics behind how companies are using data. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical. What’s your data strategy?

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

Anmut

MARCH 22, 2023

Anmut’s own clients estimate that poor data quality and availability causes at least 16% additional cost per year. Worse still, these organisations’ competitors are actually pouring twice as many resources into creating value from their data assets, giving them a massive advantage.

Measurement 52

Measurement Modeling Data Quality Data Governance 52

bridgei2i

JUNE 23, 2021

Enterprise AI automates the end-to-end journey from data to value. However, due to a lack of foundation to embed AI capabilities, companies cannot successfully leverage AI into their data and operational strategy. The more useful data you provide, AI algorithms can give faster and better results. Compliance.

Strategy 52

Strategy Enterprise Key Performance Indicator Digital Transformation 52

Alation

MARCH 28, 2023

With data becoming more prevalent in every industry, organisations have to determine how to not only manage it but also drive value from it. The MoD identify three key issues: firstly, that ‘Defence data operates in contractual, technical and behavioural silos’. The defence industry is no exception.

Metadata 52

Metadata Data Strategy Data Quality Strategy 52

erwin

SEPTEMBER 15, 2022

Discover new insights into data intelligence with Donna Burbank. Donna Burbank , Managing Director, Global Data Strategy, Ltd. The Importance of Data Intelligence to the Data-Driven Business”. Stewart Bond of IDC will provide fresh perspectives into building data trust.

Data Governance 52

Data Governance Consulting Data-driven Digital Transformation 52

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

AWS Big Data

SEPTEMBER 12, 2024

We’re also happy to share the technical asset presented in this post to help you get started building generative AI applications with your data for your specific use case. He brings more than 15 years of experience in designing and delivering Digital Transformation projects for enterprises. Angel Conde Manjon is a Sr.

Management 85

Management Analytics Data Lake Interactive 85

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 Transformation. Cloud Data Migration. Digital Transformation. Data Intelligence and Data Governance.

Metadata 64

Metadata Data Governance Dashboards Software 64

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. Acts as chair of, and appoints members to, the data council.

Management 86

Management Risk Measurement Optimization 86

Alation

MARCH 21, 2023

Having been in business for over 50 years, ARC had accumulated a massive amount of data that was stored in siloed, on-premises servers across its 7 business domains. Using Alation, ARC automated the data curation and cataloging process. “So Subscribe to Alation's Blog Get the latest data cataloging news and trends in your inbox.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Data Virtualization

NOVEMBER 25, 2020

In recent years, we have seen wide adoption of data analytics. Some issues that have been most often cited for this include: Poor data quality: While preparing. However, most organizations continue to find it challenging to quickly yield actionable insights.

Data Analytics 52

Data Analytics Analytics Data Quality Digital Transformation 52

IBM Big Data Hub

DECEMBER 20, 2023

Determine the tools and support needed and organize them based on what’s most crucial for the project, specifically: Data: Make a data strategy by determining if new or existing data or datasets will be required to effectively fuel the AI solution. Establish a data governance framework to manage data effectively.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

Grooper

AUGUST 19, 2019

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Fear of disruption and growing digital transformation initiatives have created a demand for business-driven analytics. Applied analytics Business analytics Machine learning and data science.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Alation

OCTOBER 21, 2021

Just as lakes benefit from the filtering power of surrounding rocks, roots, and soil to sift out incoming impurities, data lakes benefit from a diligent effort to prevent them from becoming a dumping ground for all and any data. Ungoverned data. Data governance helps keep data quality high and data literacy efforts on track.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

AWS Big Data

OCTOBER 31, 2024

In this post, we discuss how Volkswagen Autoeuropa used Amazon DataZone to build a data marketplace based on data mesh architecture to accelerate their digital transformation. This led to reduced trust in the data. As a result, the quality of the results delivered by these use cases improves.

Digital Transformation 104

Digital Transformation Metadata Data Quality Manufacturing 104

CIO Business Intelligence

MARCH 27, 2025

The consequences of getting identity wrong are substantial: Poor data quality = missed insights, operational inefficiencies, and wasted marketing spend. Slow digital adoption = inability to activate customer data reliably at scale. [i] We share three common mistakes that hinder data strategies and how they can be fixed.

Data Strategy 71

Data Strategy Strategy Digital Transformation Data-driven 71

AWS Big Data

NOVEMBER 13, 2024

The first section of this post discusses how we aligned the technical design of the data solution with the data strategy of Volkswagen Autoeuropa. Next, we detail the governance guardrails of the Volkswagen Autoeuropa data solution. Finally, we highlight the key business outcomes.

Metadata 93

Metadata Data Quality Digital Transformation Data-driven 93

CIO Business Intelligence

NOVEMBER 25, 2024

“Today’s CIOs inherit highly customized ERPs and struggle to lead change management efforts, especially with systems that [are the] backbone of all the enterprise’s operations,” wrote Isaac Sacolick, founder and president of StarCIO, a digital transformation consultancy, in a recent blog post.

Digital Transformation 131

Digital Transformation Data Warehouse Data Governance Enterprise 131

CIO Business Intelligence

JANUARY 30, 2025

In 2025, data management is no longer a backend operation. As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. It has become a strategic cornerstone for shaping innovation, efficiency and compliance.

Management 113

Management Data-driven Data Governance Unstructured Data 113

CIO Business Intelligence

FEBRUARY 7, 2025

She notes that Honeywell is well-positioned to leverage gen AI because of the work its done on its data and data strategy. The technology has many exciting applications, but a rock solid data strategy is an essential first step. You cant have a gen AI strategy without a data strategy, she says.

Data Warehouse 80

Data Warehouse Data-driven Data Strategy Metrics 80