IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Manage policies and rules. Govern PII “in motion”.

Data Governance 110

Data Governance Management Metadata Risk Management 110

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

CIO Business Intelligence

APRIL 24, 2024

But until there’s a change in corporate will and the CIO’s vision combines with other management to drive a full-scale project, success can only be measured by the strength of the corporate culture. “I The CIO has to add value to the business; he isn’t just the IT manager, managing servers and networks and associated costs,” Roero says.

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

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

Cloudera

MARCH 28, 2024

But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security concerns to rapidly proliferating data silos and governance challenges. Let’s explore some of the most important findings that the survey uncovered.

Data Architecture 92

Data Architecture Strategy Data Lake Data-driven 92

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

IBM Big Data Hub

FEBRUARY 9, 2023

Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture. Data governance is a crucial aspect of managing an organization’s data assets. Don’t try to do everything at once!

Data Governance 82

Data Governance Business Objectives Strategy Data Quality 82

erwin

SEPTEMBER 13, 2022

Come listen to data veterans in customer organizations as well as data best practices experts from IDC, Global Data Strategy, Ltd. Learn how to maximize the business impact of your data. The Real World Value of Data Intelligence – A Look Inside Data Management.

Data Governance 52

Data Governance Data-driven Data Architecture Data Quality 52

TDAN

APRIL 16, 2019

The phrase “data architecture” often has different connotations across an organization depending on where their job role is. For instance, most of my earlier career roles were within IT, though throughout the last decade or so, has been primarily working with business line staff.

Data Architecture 40

Data Architecture IT Data Quality Data Governance 40

IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape. Silos exist naturally when data is managed by multiple operational systems.

Data Governance 52

Data Governance Data-driven Strategy Management 52

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

Ontotext

NOVEMBER 16, 2023

Data mesh is still in its infancy, and data personas and organizations are craving clarity and specificity. It is critical to be aware of the “why” and “what” and fully understand the role that knowledge graphs play when considering adopting a data mesh strategy. The debate on what constitutes a data mesh rages on.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

TDAN

MAY 17, 2022

One of the greatest contributions to the understanding of data quality and data quality management happened in the 1980s when Stuart Madnick and Rich Wang at MIT adapted the concept of Total Quality Management (TQM) from manufacturing to Information Systems reframing it as Total Data Quality Management (TDQM).

Data Quality 52

Data Quality Manufacturing Management IT 52

erwin

DECEMBER 12, 2019

But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data. What Is Metadata? by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer salary.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 78

Data Lake Data Governance Data Architecture Machine Learning 78

AWS Big Data

APRIL 19, 2023

Data mesh is a new approach to data management. Companies across industries are using a data mesh to decentralize data management to improve data agility and get value from data. The goal of a data product is to solve the long-standing issue of data silos and data quality.

Technology 78

Technology Data-driven Machine Learning Sales 78

TDAN

APRIL 19, 2022

Data driven organizations are innovating faster than ever. In this column, I will […].

Management 59

Management Enterprise Forecasting Data-driven 59

bridgei2i

JUNE 23, 2021

These include:lack of understanding of the business-centric use cases of AI, IT gaps,lack of skilled employees, issues in data quality, and resistance to incorporate new technologies into the framework. An AI Consulting Company provides support to organizations to build the right data strategy for AI implementation.

Consulting 52

Consulting Key Performance Indicator Business Objectives Data Strategy 52

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

erwin

DECEMBER 12, 2019

But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data. What Is Metadata? by up to 70 percent.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

erwin

SEPTEMBER 19, 2019

For years, data governance was the volleyball passed back and forth over the net between IT and the business, with neither side truly owning it. Providing a platform for understanding and governing trusted data assets. Delivering the greatest benefit from data wherever it lives, while minimizing risk.

Data Governance 108

Data Governance Cost-Benefit Enterprise Modeling 108

CIO Business Intelligence

FEBRUARY 20, 2023

Salesforce Administrator A Salesforce Certified Administrator manages and maintains an organization’s Salesforce CRM system. This includes creating and modifying user accounts, managing data, creating and maintaining custom fields and objects, and configuring the system to meet organizational needs.

Consulting 87

Consulting B2B Cost-Benefit Sales 87

TDAN

JUNE 18, 2019

The first step to fixing any problem is to understand that problem—this is a significant point of failure when it comes to data. Most organizations agree that they have data issues, categorized as data quality. However, this definition is […].

Data Quality 90

Data Quality Data Architecture IT Data Strategy 90

erwin

SEPTEMBER 17, 2020

Here are six benefits of automating end-to-end data lineage: Reduced Errors and Operational Costs. Data quality is crucial to every organization. Automated data capture can significantly reduce errors when compared to manual entry. Improved Customer and Employee Satisfaction.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Peter James Thomas

OCTOBER 30, 2018

Where they have, I have normally found the people holding these roles to be better informed about data matters than their peers. The same goes in general for Marketing Managers. I have always found it easy and enjoyable to collaborate with such people. Mumsnet – which is a web-site for UK parents.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

IBM Big Data Hub

SEPTEMBER 7, 2022

Originally based on our books, The Chief Data Officer’s Playbook and Data-Driven Business Transformation , the program is now an interactive 10-week workshop that addresses data maturity, data strategy, data literacy, leadership, technology and more. Small victories lead to big ones.

Data Strategy 52

Data Strategy Strategy Data-driven Data Quality 52

TDAN

MARCH 17, 2020

Business has a fundamental problem with data quality. In some places it’s merely painful, in others it’s nearly catastrophic. Why is the problem so pervasive? Why does it never seem to get fixed? I believe we’ve been thinking about the problem wrong. It’s time for a fresh look.

Data Quality 59

Data Quality Data Architecture IT Metadata 59

Cloudera

SEPTEMBER 6, 2022

There remain challenges in workforce management, particularly in call centers, and order backlogs for fiber broadband and other physical infrastructure are being worked through. If you’re working in a telco today, what’s your digital strategy to tackle these challenges? Why telco should consider modern data architecture.

Data Architecture 86

Data Architecture Cost-Benefit Digital Transformation Business Driver 86

TDAN

AUGUST 15, 2023

Recently, I attended the CDIO Conference in Boston where I had the pleasure of hearing the two Toms (Tom Redman and Tom Davenport) — gurus of data — introduce the concept of tweeners to the data management world. As I listened to their explanation of a tweener (someone who sits with one foot in data […]

Management 52

Management Data Quality Data Architecture Data Governance 52

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Data Governance 74

Data Governance Strategy Enterprise Machine Learning 74

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 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

erwin

OCTOBER 24, 2019

In fact, data professionals spend 80 percent of their time looking for and preparing data and only 20 percent of their time on analysis , according to IDC. To flip this 80/20 rule, they need an automated metadata management solution for: • Discovering data – Identify and interrogate metadata from various data management silos.

Metadata 104

Metadata Management Data-driven Data Architecture 104

TDAN

MARCH 14, 2023

As data programs accelerate their capabilities to tap into insights, the rights of the consumer and their privacy are racing counter. We’ve long had to contend with the balance of how to best use data throughout its lifecycle and build processes. The more recent innovation? The ability to rapidly pivot, experiment, and learn.

Data Quality 97

Data Quality Data Architecture IT Data Governance 97

Alation

MAY 31, 2023

The state of data governance is evolving as organizations recognize the significance of managing and protecting their data. With stricter regulations and greater demand for data-driven insights, effective data governance frameworks are critical. What is a data architect? Ensure data security and compliance.

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52