CIO Business Intelligence

AUGUST 22, 2023

If digital transformation is a journey, when does it end? This is a question I am asked often by IT leaders who prefer slowing down the pace of transformation and technology innovation. Another study of 4,000 global organizations found that only 44% had a high digital maturity.

Digital Transformation 98

Digital Transformation Data-driven Cost-Benefit Strategy 98

CIO Business Intelligence

NOVEMBER 21, 2023

That’s where an IT strategy that frames shadow IT as an opportunity for improved collaboration can have a profound impact. Set parameters and emphasize collaboration To address one root cause of shadow IT, CIOs must also establish a governance and delivery model for evaluating, procuring, and implementing department technology solutions.

IT 137

IT Risk Cost-Benefit Risk Management 137

erwin

OCTOBER 17, 2019

At erwin, we’re definitely witnessing this EA evolution as more and more as organizations undertake digital transformation initiatives, including rearchitecting their business models and value streams, as well as responding to increasing regulatory pressures. Data security/risk management. Data governance.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

erwin

JANUARY 17, 2020

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Sisense

SEPTEMBER 12, 2019

Every business needs a business intelligence strategy to take it forward. . As the Global Team Lead of BI Consultants at Sisense, I can say that the projects I’ve worked on where a BI strategy was involved, were more successful than projects without a strategy. But what is a BI strategy in today’s world?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

FEBRUARY 7, 2024

“Good governance is the telemetry on that investment, from which operational and tactical plans can be adjusted and focused to achieve strategic objectives,” he says. API-first strategies on the rise APIs are ubiquitous within modern software architectures, working behind the scenes to facilitate myriad connected capabilities. “As

Business Objectives 124

Business Objectives Cost-Benefit Strategy Data-driven 124

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

erwin

NOVEMBER 28, 2019

The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”. In the era of data-driven business, such perspective is critical.

Enterprise 145

Enterprise Data-driven Data Governance Digital Transformation 145

Alation

JULY 15, 2022

And, while change at large organisations is tough, data leaders would be wise to reframe such transformations as business opportunities rather than burdens. 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.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

erwin

AUGUST 20, 2020

As a practice, EA involves the documentation, analysis, design and implementation of an organization’s assets and structure. With an enterprise architecture management suite (EAMS) , an organization can define and document its structure to more effectively determine how to achieve its goals. Data Governance.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

erwin

NOVEMBER 13, 2020

Digital Transformation. Data Security & Risk Management. Data Center Consolidation. Data Governance (knowing what data you have and where it is). Digital Transformation. The key driver of modern EA is the demand for digital transformation. Compliance/Legislation.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

Alation

JULY 19, 2021

Yes, we’re talking about metadata, or information that describes other data. For enterprise data, metadata, and effective metadata management , is a critical component of a good data management strategy. In today’s world, metadata management best practices call for a data catalog. Define a Metadata Strategy.

Metadata 105

Metadata Management Data Governance Machine Learning 105

CIO Business Intelligence

DECEMBER 11, 2023

What’s the plan if customers are presented with false data, or if critical decisions are based on inaccurate AI responses? Companies need both a practical plan and a transparent communications strategy in their response.” Bias can be inadvertently perpetuated when AI is trained on historical data, he notes.

Modeling 131

Modeling Risk Strategy Software 131

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

erwin

NOVEMBER 21, 2019

The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”. In the era of data-driven business, such perspective is critical.

Enterprise 77

Enterprise Data-driven Data Governance Digital Transformation 77

Alation

DECEMBER 9, 2021

Let’s start by looking at what cloud transformation actually entails. Then, we’ll dive into the strategies that form a successful and efficient cloud transformation strategy, including aligning on business goals, establishing analytics for monitoring and optimization, and leveraging a robust data governance solution.

Cost-Benefit 52

Cost-Benefit Data Governance Optimization Data Processing 52

erwin

NOVEMBER 21, 2019

The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”. In the era of data-driven business, such perspective is critical.

Enterprise 72

Enterprise Data-driven Data Governance Digital Transformation 72

Alation

APRIL 18, 2023

Top use cases for data profiling Data governance Data governance describes how data should be gathered and used within an organization, impacting data quality, data security, data privacy , and compliance. Data migration Digital transformation is ongoing.

IT 52

IT Metadata Data Quality Data Governance 52

erwin

FEBRUARY 19, 2021

A strong data management strategy and supporting technology enables the data quality the business requires, including data cataloging (integration of data sets from various sources), mapping, versioning, business rules and glossaries maintenance and metadata management (associations and lineage).

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

IBM Big Data Hub

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. With data lineage, every object in the migrated system is mapped and dependencies are documented.

Cost-Benefit 96

Cost-Benefit Metadata Data Governance Reporting 96

Rocket-Powered Data Science

OCTOBER 16, 2020

Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more. The data age has been marked by numerous “hype cycles.” That’s data. That’s all data. Yet again, that’s data. Data Leadership.

Digital Transformation 142

Digital Transformation Experimentation Data Strategy Strategy 142

Sisense

JULY 6, 2020

Inaccurate data leads to generating unreliable insights which, in the long run, lead the business in the wrong direction. This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Cloudera

NOVEMBER 18, 2021

The variety of formats, unstructured nature, and dispersed location of these documents present several challenges for critical business decisions. To enable faster and easier access to millions of documents, ExxonMobil combined domain specific knowledge and a combination of Cloudera tools with cloud services. Industry Transformation.

Data Lake 73

Data Lake Cost-Benefit Digital Transformation Risk 73

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. What are common data challenges for the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Data extraction: Platform capabilities help sort through complex details and quickly pull the necessary information from large documents.

Machine Learning 76

Machine Learning Manufacturing Cost-Benefit Deep Learning 76

datapine

DECEMBER 11, 2019

Today, most companies are in the process of implementing various business intelligence strategies, turning to SaaS BI tools to assist them in their efforts. The revolution is here, and it’s digital. We are in the age of digital transformation. 2019 was a breakthrough year for the SaaS world in many ways.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

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’. Culturally, defence lacks recognition over the importance of data’.

Metadata 52

Metadata Data Strategy Data Quality Strategy 52

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. ISL is a crucial factor to empower digital transformation and decrease the threat of disruption.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

CIO Business Intelligence

AUGUST 1, 2023

Digital transformation must be a core organizational competency. The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. That’s my key advice to CIOs and IT leaders.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

erwin

JANUARY 3, 2020

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years. Constructing a Digital Transformation Strategy.

Data Governance 139

Data Governance Digital Transformation IoT Metadata 139

erwin

JANUARY 3, 2020

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years. Constructing a Digital Transformation Strategy.

Data Governance 52

Data Governance Digital Transformation IoT Metadata 52

CIO Business Intelligence

NOVEMBER 7, 2023

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

IBM Big Data Hub

AUGUST 15, 2023

A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it. Therefore, a well-built AI for business program must also have a good data governance framework. Building blocks of AI first What does building a process with an AI first approach look like?

IT 78

IT Data Governance Modeling Cost-Benefit 78

erwin

MARCH 28, 2019

According to Gartner , BPM links business strategy to IT systems development to ensure business value. Business process modeling (BPM) is a practice that helps organizations understand how their strategy relates to their IT systems and system development. The Regulatory Rationale for Integrating Data Management & Data Governance.

Modeling 71

Modeling Digital Transformation Cost-Benefit Visualization 71

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Alation

OCTOBER 4, 2022

Today, the rise of digital insurance companies and the changing risk landscape together drive the industry’s digital transformation. As the volume, veracity, variety, and volume of data expands, insurance companies need a stable framework to govern data and democratize access. Why is it Important?

Insurance 52

Insurance Data Governance Risk Strategy 52